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Author SHA1 Message Date
mlemanczyk a44dbb5171 Delete test-_even_perfect_bit_scan_inc-add_thr-1_blk-1_mers-bydivisor_mersdev-gpu_ntt-reference_red-barrett128_primesdev-gpu_order-off_orderdev-gpu_gcd-off_gputh-64_llslice-32_scanb-256000_warm-5000000.csv 2026-09-08 20:02:10 +00:00
mlemanczyk 3ca99460bb Update excluded-138m.csv
Results updated.
2026-01-25 02:35:24 +01:00
mlemanczyk b9b8422fb9 Results updated. 2026-01-25 02:34:16 +01:00
mlemanczyk f755b30153 Results updated. 2026-01-25 02:32:53 +01:00
mlemanczyk 67291f76a2 BitContradiction performance improvements. Next variables removed. 2026-01-25 02:32:26 +01:00
mlemanczyk 5eee2cd4a0 k state repository performance improvement. We'll now flush the updates every so often, now. 2026-01-25 01:35:19 +01:00
mlemanczyk f864e73f67 Benchmarks for static bit masks added. 2026-01-25 01:25:53 +01:00
mlemanczyk 38b83a3d55 BitContradiction performance improvements. 2026-01-25 01:25:10 +01:00
mlemanczyk c6be5ee679 BitContradiction performance improvements. 2026-01-24 21:50:02 +01:00
mlemanczyk 80e58fc55b BitContradiction performance improvements. Small qMod2k inv cache added. 2026-01-24 01:39:14 +01:00
mlemanczyk b2a6a1c332 BitContradiction performance improvements. Exact powers of 2 cases will reuse previous calculation results and transform them for the next q divisor. 2026-01-24 01:28:09 +01:00
mlemanczyk b014fdb7f1 BitContradiction performance improvements. 2026-01-24 00:27:10 +01:00
mlemanczyk 9886d8bbb2 BitContradiction performance improvements. 2026-01-23 16:25:04 +01:00
mlemanczyk 1719b3350d Update excluded-138m.csv
Results updated.
2026-01-22 19:03:29 +01:00
mlemanczyk dfd3f71f5d BigInteger shifting mapped to constants for an improved performance. 2026-01-22 19:01:03 +01:00
mlemanczyk cc8bb98e2c Results updated. 2026-01-22 15:59:47 +01:00
mlemanczyk 04545c93b4 Prime testing pipeline adjusted to match other methods. 2026-01-22 15:45:47 +01:00
mlemanczyk edecffe10b Console print out interval switched to PerfectNumberConstants.ConsoleInterval 2026-01-22 15:36:12 +01:00
mlemanczyk 13e1c7f34e BitContradiction performance improvements. 2026-01-22 15:33:57 +01:00
mlemanczyk c63ff5df32 Tiny cleanup 2026-01-22 15:11:16 +01:00
mlemanczyk 302bfba40c K state saving frequency increased 2026-01-22 15:10:37 +01:00
mlemanczyk c11a886197 GPU warmup disabled when no GPU is in use. 2026-01-22 15:08:13 +01:00
mlemanczyk b9f2b08c78 Results updated. 2026-01-20 22:02:23 +01:00
mlemanczyk d9816b48e2 State saving interval decreased. 2026-01-20 21:50:17 +01:00
mlemanczyk 3212297911 Micro-optimizations. Variables limited. Mod2 filter disabled to avoid modulo calculations. 2026-01-20 21:49:27 +01:00
mlemanczyk e53f0b7a95 Console output limit restored to avoid flooding console with entries. 2026-01-20 21:47:22 +01:00
mlemanczyk c537e915d1 KStateRepository flushing added after saving to make sure it's written to the file. 2026-01-20 21:46:36 +01:00
mlemanczyk afed716105 Update excluded-138m.csv
Results updated.
2026-01-20 16:59:45 +01:00
mlemanczyk c8aa842eeb Update excluded-138m.csv
Results updated.
2026-01-20 00:42:14 +01:00
mlemanczyk b934112074 BitContradiction performance improvements. 2026-01-20 00:39:31 +01:00
mlemanczyk 4f12375427 Restored K state saving in BitContradiction scan. Tiny cleanup. 2026-01-18 22:04:15 +01:00
mlemanczyk 778a36d2eb BitContradiction and DETAILED_LOG fixes 2026-01-18 16:10:17 +01:00
mlemanczyk 1a97cdf754 BitContradiction cleanup and performance improvements. LUT increased to increase steps. 2026-01-18 01:02:06 +01:00
mlemanczyk 41e421e1eb BitContradiction improvements - 0.043s, p=138000001+ 2026-01-17 15:37:43 +01:00
mlemanczyk e97ea151e1 BitContradiction performance improvement introducing early cut-off based on required active rows count. 2026-01-13 13:21:07 +01:00
mlemanczyk 09945544fc BitContradiction improvements to process bit 1 RLEs instead of separate indexes of each bit. 2026-01-13 12:38:06 +01:00
mlemanczyk 047e3d6233 BitContradiction performance improvements. 2026-01-13 09:59:07 +01:00
mlemanczyk e738ee29e0 BitContradiction performance improvements. 2026-01-13 09:38:34 +01:00
mlemanczyk 12c477b1a2 BitContradiction improvements to be aware of the highest "a" bit being 1 and of the minimum and maximum "a" bit length. 2026-01-13 06:56:08 +01:00
mlemanczyk d0dbb8f92a BitContradiction solvers improvements to increase early exclusions. 2026-01-13 04:20:34 +01:00
mlemanczyk c6dea4afcc Compilation error fixed. 2026-01-13 02:02:29 +01:00
mlemanczyk bf93bcff1a BitContradictionSolverWithQMultiplier improvements. BitContradictionSolverWithAMultiplier added. 2026-01-12 20:50:54 +01:00
mlemanczyk dc7a499f82 BitContradiction optimizations 2026-01-12 02:45:46 +01:00
mlemanczyk 2b803abcac BitContradiction mode modified to check for contradictions from both sides. 2026-01-12 01:49:10 +01:00
mlemanczyk 458e6d14a0 Results updated. 2026-01-09 16:14:04 +01:00
mlemanczyk d88ad25476 Initial BitTree implementation added. 2026-01-09 16:13:16 +01:00
mlemanczyk 45e3455ff3 DivisorSet.BitContradiction mode added to --mersenne=bydivisor. 2026-01-04 17:59:02 +01:00
mlemanczyk 6a924f4041 DivisorSet.Percentile, Additive and TopDown modes implemented. State files ported to LMDB => FASTER to avoid millions of files in folders. 2026-01-04 12:17:27 +01:00
mlemanczyk 27f65baf3d Predictive and default bydivisor modes will use separate files to track the last checked k to prevent impacting results between modes. 2026-01-03 20:53:57 +01:00
mlemanczyk a6d408f2aa Predictive scanning implemented for bydivisor method. 2026-01-03 20:01:22 +01:00
mlemanczyk ef8034b258 Results updated. 2026-01-03 01:41:10 +01:00
mlemanczyk 6b80e31e6c Pow2MontgomeryModWindowedConvertToStandardCpu usages replaced with a comparison to MontgomeryOne avoiding unnecessary conversions. Results updated. 2026-01-03 01:37:40 +01:00
mlemanczyk 3f59cdc14b Results updated, including trivial divisors. 2026-01-02 23:46:54 +01:00
mlemanczyk ce3079a48e Restored CalculateOrderKernelLauncher kernel setup. 2026-01-02 23:46:30 +01:00
mlemanczyk f3ed5b04a1 Improvements to recognize cases when we only find trivial divisors for p. Not fully fixed, yet. 2026-01-02 23:39:32 +01:00
mlemanczyk 0d11199ef2 Results updated. 2025-12-30 19:45:17 +01:00
mlemanczyk bfb3bcb1e3 Fixed issue with treating Mersenne's number as valid divisor for p. 2025-12-29 22:44:14 +01:00
mlemanczyk be92ef1ae3 Compilation error fixed. 2025-12-29 05:49:45 +01:00
mlemanczyk 7e00a73174 Results updated. 2025-12-28 18:37:34 +01:00
mlemanczyk e02264d3f1 Results updated 2025-12-28 12:34:29 +01:00
mlemanczyk 48ff886fb2 Dictionary extended 2025-12-28 12:28:42 +01:00
mlemanczyk 9a6a1968b7 Merge branch 'simplify-bydivisor' of https://github.com/mlemanczyk/even-perfect-numbers-scanner into simplify-bydivisor 2025-12-28 00:59:18 +01:00
mlemanczyk 87a66e4eca DivisorSet scans added as EnumDependentTemplate to MersenneNumberDivisorByDivisorCpuTesterWithTemplate. New Pow2Groups scan implemented based on statistics for high divisors. MersenneNumberDivisorByDivisorPrimeScan sessions integrated into MersenneNumberDivisorByDivisorPrimeScanSessionWithTemplate. Various micro optimizations to eliminate variable, unnecessary struct creations and continue scans in higher divisor ranges, when lower ranges are exhausted. --bydivisor-k-increment command-line argument added. 2025-12-28 00:45:08 +01:00
mlemanczyk 9391954b3e DivisorSet scans added as EnumDependentTemplate to MersenneNumberDivisorByDivisorCpuTesterWithTemplate. New Pow2Groups scan implemented based on statistics for high divisors. MersenneNumberDivisorByDivisorPrimeScan sessions integrated into MersenneNumberDivisorByDivisorPrimeScanSessionWithTemplate. Various micro optimizations to eliminate variable, unnecessary struct creations and continue scans in higher divisor ranges, when lower ranges are exhausted. --bydivisor-k-increment command-line argument added. 2025-12-28 00:39:36 +01:00
mlemanczyk 759614de54 Fixed invalid index return when EnvironmentConfig.RollingAccelerators is 1. 2025-12-28 00:14:23 +01:00
mlemanczyk 3342ead2d4 DeviceDependentGenerator modified to create all classes in "generated" folder and clean up generated files during dotnet clean process. 2025-12-28 00:13:30 +01:00
mlemanczyk 75a2017385 Heuristic and small prime factor kernels restored in PrimeOrderAcceleratorTemplate. 2025-12-28 00:12:39 +01:00
mlemanczyk 6603f65993 New numbers added for quick and easy reuse without struct creations. 2025-12-28 00:12:39 +01:00
mlemanczyk 6678f24887 Race condition fixed 2025-12-25 23:14:12 +01:00
mlemanczyk 2bf9ff233c PrimeOrderCalculator converted to a template. 2025-12-21 18:02:59 +01:00
mlemanczyk 48df3df290 Fix to update pending list entry with the updated one, after PartialFactorPendingEntry was converted back to struct. 2025-12-20 16:46:57 +01:00
mlemanczyk 9147124ddf MersenneNumberTesterTemplate extended to depend on new enums: CacheStatus & OrderDevice instead of constructor parameters to limit code branches during execution. 2025-12-19 22:01:21 +01:00
mlemanczyk c5c42b0c19 MersenneNumberTesterTemplate made dependent on the calculation method to eliminate unnecessary branching. 2025-12-19 20:01:45 +01:00
mlemanczyk c9a421a1b4 Merge branch 'simplify-bydivisor' of https://github.com/mlemanczyk/even-perfect-numbers-scanner into simplify-bydivisor 2025-12-19 19:02:06 +01:00
mlemanczyk d32eea0212 DeviceDependentGenerator extended to allow generation of enum dependent templates. Name suffix separate to its own attribute. 2025-12-19 19:01:38 +01:00
mlemanczyk 9ff0431f59 DeviceDependentGenerator extended to allow generation of enum dependent templates. Name suffix separate to its own attribute. 2025-12-19 19:01:27 +01:00
mlemanczyk a21ab3134e MersenneNumberTester converted to device dependent MersenneNumberTesterTemplate. 2025-12-19 18:25:27 +01:00
mlemanczyk b53d00a8cc EvenPerfectBitScanner fully migrated to MersenneDivisorCycles. Tiny optimization. 2025-12-19 04:38:01 +01:00
mlemanczyk 74837a407e MersenneDivisorCycles converted to device template. 2025-12-19 04:03:27 +01:00
mlemanczyk 31ecf24522 TODOs added. 2025-12-19 00:10:21 +01:00
mlemanczyk 870819dec6 MersenneNumberDivisorByDivisorCpuTesterWithTemplate optimizations 2025-12-19 00:10:09 +01:00
mlemanczyk 4edad10be8 MethodImpl attributes adjustments. 2025-12-18 20:10:41 +01:00
mlemanczyk ed299edf56 MersenneNumberDivisorByDivisorCpuTesterWithCpuOrder, MersenneNumberDivisorByDivisorCpuTesterWithHybridOrder & MersenneNumberDivisorByDivisorCpuTesterWithGpuOrder converted to device dependent template MersenneNumberDivisorByDivisorCpuTesterWithTemplate. 2025-12-18 20:10:20 +01:00
mlemanczyk 2236c3ec35 MersenneCpuDivisorScanSessionWithCpuOrder, MersenneCpuDivisorScanSessionWithHybridOrder & MersenneCpuDivisorScanSessionWithGpuOrder converted to device dependent templates 2025-12-18 19:46:21 +01:00
mlemanczyk 8ea975f2ed DeviceDependentGenerator added to tasks.json. It can now generate the files during VS Code builds. Ignore list updated. 2025-12-18 09:39:56 +01:00
mlemanczyk af7c9491e4 DeviceDependentGenerator can now add suffix to the name of the generated types. 2025-12-18 09:23:41 +01:00
mlemanczyk 0b226c76e8 #nullable added to auto-generated sources to allow compilations with nullability check enabled. 2025-12-18 09:09:08 +01:00
mlemanczyk 9faa397364 DeviceDependentGenerator added. 2025-12-18 07:37:53 +01:00
mlemanczyk 23748ad3d2 MethodImpl attributes added. Unnecessary try...finally blocks removed. 2025-12-18 05:31:27 +01:00
mlemanczyk 189013b849 Results updated. 2025-12-18 05:09:52 +01:00
mlemanczyk 2abc6aae49 --mersenne=bydivisor testers and sessions integrated and converted to structs. 2025-12-18 05:07:31 +01:00
mlemanczyk 3c80221105 MontgomeryDivisorDataPool.Rent / .Return removed as we no longer pool Montgomery divisor data. UInt128Extensions.MontgomeryDivisorDataPool variables optimized. 2025-12-16 02:27:29 +01:00
mlemanczyk b7773adad8 PrimeOrderCalculator.ExponentLoweringCpu optimized to reuse factors & exponents span instead of its own buffers 2025-12-15 20:22:03 +01:00
mlemanczyk 6d427c6906 Results updated. 2025-12-15 17:23:22 +01:00
mlemanczyk 566cbc3599 PrimeOrderCalculator.Cpu optimizations. 2025-12-15 17:22:55 +01:00
mlemanczyk 5523469e8a Results updated. 2025-12-15 07:31:19 +01:00
mlemanczyk 046cfe7d26 BuildDivisorTransitions application added. 2025-12-15 07:30:29 +01:00
mlemanczyk 97fd041ec0 Tiny cleanup for improved readability. 2025-12-15 04:37:03 +01:00
mlemanczyk 2c18818ac8 PrimeOrderCalculator.PopulateSmallPrimeFactorsCpu, .ExtractSmallPrimeExponent & ULongExtensions.ReduceCycleRemainder optimized. 2025-12-15 04:36:47 +01:00
mlemanczyk 048d1576ef Tiny cleanup. 2025-12-15 04:33:09 +01:00
mlemanczyk dce598c857 Results updated. 2025-12-15 04:32:23 +01:00
mlemanczyk a8a41c6132 Results updated. 2025-12-15 04:12:07 +01:00
mlemanczyk 7c3ed34df3 Results updated. 2025-12-15 04:05:10 +01:00
mlemanczyk 695e164f51 Results updated. 2025-12-15 04:04:52 +01:00
mlemanczyk 974b1da873 Small optimizations 2025-12-14 01:35:13 +01:00
mlemanczyk e0daccdc1a BTree fine-tuned. 2025-12-14 00:19:53 +01:00
mlemanczyk bca059c4f2 Initial BTree version implemented. 2025-12-14 00:03:51 +01:00
mlemanczyk e8cca74f68 DeeterministicRandom types optimized. 2025-12-13 16:00:28 +01:00
mlemanczyk 1b3882addc PrimeOrderCalculator.PartialFactorCpu variables optimized. Removed constant parameter from AddFactorToCollector. 2025-12-13 15:36:32 +01:00
mlemanczyk 0fb5a5fa10 Merge branch 'simplify-bydivisor' of https://github.com/mlemanczyk/even-perfect-numbers-scanner into simplify-bydivisor 2025-12-13 14:29:25 +01:00
mlemanczyk 079b2d5b72 PartialFactorPendingEntry changed back to struct for better performance. 2025-12-13 14:28:01 +01:00
mlemanczyk 96bb6a4340 PartialFactorPendingEntry changed back to struct for better performance. 2025-12-13 14:26:55 +01:00
mlemanczyk a185149eba PrimeOrderCalculator.PartiaFactorCpu optimized to use one-time allocation list and stack. 2025-12-13 14:21:37 +01:00
mlemanczyk 9fcd21b734 Results updated. 2025-12-13 13:37:01 +01:00
mlemanczyk cbf3dfcf2e Results updated. 2025-12-13 05:12:22 +01:00
mlemanczyk ec080ade7f PendingEntry renamed to PartialFactorPendingEntry and moved to its own file. PrimeOrderCalculator.PartialFactor partially optimized to use fixed buffers factors & exponents. 2025-12-13 05:11:02 +01:00
mlemanczyk 8fbe248a49 Revert "Reusable buffers introduced."
This reverts commit 39a66fdef1.
2025-12-13 04:17:30 +01:00
mlemanczyk 39a66fdef1 Reusable buffers introduced. 2025-12-13 04:16:05 +01:00
mlemanczyk fd58079c5a Results updated. 2025-12-13 04:03:05 +01:00
mlemanczyk 964bc8b734 Results updated. 2025-12-12 23:35:47 +01:00
mlemanczyk d9bff88055 Results updated. 2025-12-12 22:06:37 +01:00
mlemanczyk 2607c6e2d4 Results updated. 2025-12-12 20:26:43 +01:00
mlemanczyk e8e67ebf83 Results updated. 2025-12-12 18:50:52 +01:00
mlemanczyk ca3785c20d Results updated. 2025-12-12 18:48:07 +01:00
mlemanczyk 8b0d09cc9c Fixed capacity stack improvements to make sure that each thread gets its own instance. 2025-12-12 14:43:49 +01:00
mlemanczyk 8a5a8a7bb5 Results updated. 2025-12-12 11:51:28 +01:00
mlemanczyk 382f0c01a2 Results updated. 2025-12-12 04:53:13 +01:00
mlemanczyk 3e591586fb Results updated. 2025-12-12 04:10:15 +01:00
mlemanczyk d066c780ea Results updated. 2025-12-12 03:46:42 +01:00
mlemanczyk 15bcde1776 SemaphoreSlim replaced with PollingSemaphore. 2025-12-12 03:41:13 +01:00
mlemanczyk 471f9ac6cf Results updated. 2025-12-12 03:33:26 +01:00
mlemanczyk 8afd761d2a Results updated. 2025-12-12 03:18:04 +01:00
mlemanczyk 477d2675ef Results updated. 2025-12-12 01:52:25 +01:00
mlemanczyk 10f0fa272c Results updated. 2025-12-12 01:05:58 +01:00
mlemanczyk 45c477de5a DefaultThreadPoolCapacity updated to avoid too big arrays without reason. 2025-12-12 00:57:51 +01:00
mlemanczyk 49e47b161d Tiny cleanup. Namespace updated. 2025-12-12 00:56:33 +01:00
mlemanczyk 43376745f5 Benchmarks to compare Interlocked with Atomic added. Atomic replaced with Interlocked on CPU path as better performer. 2025-12-11 23:45:01 +01:00
mlemanczyk 0ec48f1f0b Tiny cleanup 2025-12-11 23:27:25 +01:00
mlemanczyk 51284be4fb Micro-optimizations and adjustments. 2025-12-11 22:50:47 +01:00
mlemanczyk 8f0cc17d90 PoolingSemaphore optimized. 2025-12-11 21:46:07 +01:00
mlemanczyk 60ccb3db74 Results updated. 2025-12-11 21:10:37 +01:00
mlemanczyk 260aa19e44 Pools renamed to FixedCapacityPools. Other fixed capacity collections added. Queues, concurrent queues and standard stacks replaced with fixed capacity stacks. MethodImplOptions.AggressiveInlining and .AggressiveOptimization added to simple methods and getters / setters. Variables optimized in few places. 2025-12-11 21:10:19 +01:00
mlemanczyk 547d43de84 ExponentRemainderStepperCpu local variables optimized. Cache is now driven by manually calculated key to avoid unnecessary allocations. 2025-12-11 05:29:19 +01:00
mlemanczyk 131b3265bc PrimeOrderCalculator.Cpu cleaned up - hybrid & GPU related methods moved to their corresponding files. 2025-12-11 00:00:12 +01:00
mlemanczyk 5df2cc7f9b using cleaned up. 2025-12-10 23:59:04 +01:00
mlemanczyk 05d3061c47 MethodImplOptions.AggressiveOptimization & MethodImplOptions.AggressiveInlining optimized. Small optimizations. 2025-12-10 19:59:51 +01:00
mlemanczyk 7a242b3bfa PrimeOrderCalculator.PartialFactorCpu simplified to work only with spans and throw exception if the number of factors is exceeded. PrimeOrderMode removed in favor of bool flag. 2025-12-10 12:47:25 +01:00
mlemanczyk 72890bf343 Dictionary and List pooling added in PrimeOrderCalculator.Cpu. 2025-12-08 21:03:25 +01:00
mlemanczyk 7518ba396e Results updated. 2025-12-08 20:59:18 +01:00
mlemanczyk f7dbc017a9 Modulo operators replaced with steppers, where possible. 2025-12-08 20:57:47 +01:00
mlemanczyk 475507ce0c Results updated. 2025-12-08 16:39:07 +01:00
mlemanczyk 5c91d79927 State saving frequency increased to prevent too many re-calculations during frequent restarts. 2025-12-08 16:35:24 +01:00
mlemanczyk 6e68252279 Status update improvement. 2025-12-08 02:53:27 +01:00
mlemanczyk f1109330df Default no. of accelerators increased back to 298 (max without exceptions). State saving interval decreased to limit unnecessary overhead. 2025-12-08 02:51:04 +01:00
mlemanczyk f76cf05e10 Exception message added to console output. 2025-12-08 02:49:57 +01:00
mlemanczyk d69ad9c64a State saving interval decreased. 2025-12-07 19:17:09 +01:00
mlemanczyk 6887111128 BigInteger-friendly steppers added. MersenneResidueStepper converted to struct. Manual residue tracking replaced with steppers. Modulo operations replaced with steppers. 2025-12-07 19:16:45 +01:00
mlemanczyk fbf074ade0 Results updated. 2025-12-07 13:48:11 +01:00
mlemanczyk 3f9cd53efc Results updated. 2025-12-07 00:21:57 +01:00
mlemanczyk a4c52e7282 Results updated. 2025-12-06 23:24:03 +01:00
mlemanczyk 9af8244040 Results updated. 2025-12-06 20:12:09 +01:00
mlemanczyk 788e11588e README updated. 2025-12-06 20:11:56 +01:00
mlemanczyk c44d188720 --mersenne=residue filtering results added. 2025-12-06 19:47:25 +01:00
mlemanczyk 3cde986fa0 Results file updated 2025-12-06 15:24:11 +01:00
mlemanczyk 573781f086 Results updated 2025-12-06 12:33:00 +01:00
mlemanczyk 374bf5fe53 Readme updated. 2025-12-06 11:33:00 +01:00
mlemanczyk 946798affe Results consolidated into one, raw file 2025-12-06 11:30:38 +01:00
mlemanczyk 86f20ed083 Support for q > 2^64 added in --mersenne=bydivisor mode 2025-12-05 23:33:21 +01:00
mlemanczyk cf5bd6bc1a PendingEntry.WithPrimality changed to modify the instance instead of creating a new one. 2025-12-05 15:51:16 +01:00
mlemanczyk 928e847f1f AscendingdivisorRemainderStepper used in PrimeTesterByLastDigit 2025-12-05 14:17:24 +01:00
mlemanczyk b3a325521a PrimeTester.IsPrimeCpu will now reuse remainders from previous checks. 2025-12-04 12:39:56 +01:00
mlemanczyk efb4933935 Tiny cleanup 2025-12-04 12:34:42 +01:00
mlemanczyk 19e549adc5 Readme extended. Added excluded candidates without recording the factor. 2025-12-04 12:27:44 +01:00
mlemanczyk bce11e0842 Factors from primality tests added. 2025-12-04 12:16:09 +01:00
mlemanczyk 86192a71b0 Divisor checking optimized to only flag if divisor was found or not without returning complete array of hits. We'll now also track residues for 13, 17 & 19 as the most frequent ones. 2025-12-03 00:57:25 +01:00
mlemanczyk 85a90c70bf --gpu-ration command-line argument added. AscendingDivisorRemainderStepper implemented in PrimeTester.IsPrimeCpu. PrimeOrderCalculator.RunOnCpu adjusted for low GPU ratios to prevent infinite increase of the counter. 2025-12-02 23:36:18 +01:00
mlemanczyk f43c67c86f Tasks will now save calculations progress and resume calculation upon restart. 2025-12-02 00:42:38 +01:00
mlemanczyk 941733905b Hybrid device mode implemented as the current --mersenne=bydivisor CPU execution path. CPU path is now limited to CPU calculations, only. 2025-12-01 03:45:39 +01:00
mlemanczyk 353a121d03 Alternative to SemaphoreSlim added 2025-11-30 15:41:00 +01:00
mlemanczyk c3254e3fda Temporary restored delegating all work to CPU in CPU mode in preparation for a branch-less split. 2025-11-30 15:40:03 +01:00
mlemanczyk 67c1d9309a Reusing prime work limiter to limit the number of active threads. 2025-11-30 15:37:01 +01:00
mlemanczyk fbfc682899 Restored heuristic prime tester use 2025-11-30 15:35:56 +01:00
mlemanczyk 6a1198c417 CPU vs GPU work delegation adjusted to better utilize CPU. 2025-11-29 12:09:33 +01:00
mlemanczyk c311b27dcc Prime testing using divisor tables depending on the last digit separated to its own class. PrimeTester switched back to standard endings. 2025-11-27 16:45:02 +01:00
mlemanczyk a296e62d4d --min-k command-line argument added. Partial factoring switched back to CPU. 2025-11-26 22:03:52 +01:00
mlemanczyk 13498dc460 Most device buffers integrated into PrimeOrderCalculatorAccelerator. PrimeOrderCalculator switched to partial factoring on GPU. 2025-11-26 03:16:39 +01:00
mlemanczyk 5b48a89448 Cleanup. Hint removed. 2025-11-25 01:34:31 +01:00
mlemanczyk bacb2a1d18 Cleanup. Unnecessary GC collection removed. It doesn't limit RAM usage. 2025-11-25 01:30:59 +01:00
mlemanczyk 1e9bd49145 Cleanup. No longer applicable TODO removed. 2025-11-25 01:30:13 +01:00
mlemanczyk 47521e327a Cleanup 2025-11-25 00:50:18 +01:00
mlemanczyk e8b4c1fc83 Missing return of accelerator added 2025-11-25 00:34:17 +01:00
mlemanczyk 3e756b262e Cleanup 2025-11-25 00:33:54 +01:00
mlemanczyk e9787f2991 Cleanup. Completed TODO removed. 2025-11-24 23:53:09 +01:00
mlemanczyk 91894637af Aggressive inlining added to simple switch methods. 2025-11-24 22:54:04 +01:00
mlemanczyk b9ca95bf8c PrimeOrderCalculatorAccelerator.Rent is now created outside of the loops and re-used for all calculations. 2025-11-24 22:51:53 +01:00
mlemanczyk 57a50e2a37 Pow2Mod kernel specific methods moved to Pow2MontgomeryKernels. 2025-11-24 18:04:07 +01:00
mlemanczyk 070e2a14fd MontgomeryDivisorData converted to a pooled class to limit GC pressure. MontgomeryDivisorDataGpu added for GPU operations. PrimeOrderCalculator kernels precompiled during warmup. 2025-11-24 15:14:31 +01:00
mlemanczyk 07efd5d2a1 Accelerator locks removed 2025-11-23 14:59:29 +01:00
mlemanczyk 79021108f5 Tiny cleanup 2025-11-23 14:53:35 +01:00
mlemanczyk 6d1ff1372e Factoring switched to PrimeTester.IsPrime for the best performance. PrimeOrderCalculator.PartialFactor switched to GPU factorization. Every so often it will send work to GPU instead of CPU. BatchedResources renamed to MersenneNumberDivisorByDivisorAccelerator for consistency and moved to its own file. It now uses array instead of dictionary for lookup free performance. 2025-11-23 00:07:03 +01:00
mlemanczyk 7b09c1fd3b Missing accelerator returns to pool added 2025-11-20 15:57:07 +01:00
mlemanczyk 497b1fcf89 Kernels replaced with pre-compiled actions for better performance 2025-11-20 03:00:11 +01:00
mlemanczyk df04ba601c Various small optimizations and cleanups. Methods made static, where possible. Duplicated & slow PrimeTester.BinaryGcd implementation removed. Optimized version was used instead. 2025-11-20 01:43:29 +01:00
mlemanczyk 9939c5d562 Divisor will now be saved to CSV file 2025-11-19 22:14:28 +01:00
mlemanczyk 54fdff0a4e GPU calculations frequency adjusted 2025-11-19 21:38:07 +01:00
mlemanczyk 5cac51479e GPU memory allocations protected with lock to prevent shared memory access issues. GPU usage limited for the best performance. 2025-11-19 16:49:01 +01:00
mlemanczyk 02d16bf05c Tiny cleanup 2025-11-18 06:02:43 +01:00
mlemanczyk a5696ca17f App crash fix related to unassigned value 2025-11-18 06:02:22 +01:00
mlemanczyk 56be12ab95 Cleanup & compilation fixes. 2025-11-18 04:45:18 +01:00
mlemanczyk bc51962f9d Cleanup 2025-11-18 04:37:11 +01:00
mlemanczyk 801b1be3e3 Cleanup 2025-11-18 04:22:39 +01:00
mlemanczyk 66ca969929 Naming improvements and small cleanup 2025-11-18 03:43:52 +01:00
mlemanczyk bf7c4bab39 Accelerator buffers integrated 2025-11-18 01:13:12 +01:00
mlemanczyk 342eff2726 GpuKernelPool.GetOrAddKernels removed in --mersenne=bydivisor mode. PartialFactorResult.WithAdditionalPrime will now modify the current instance instead of creating new copy for better performance. SmallPrimeFactorViews renamed to SmallPrimeFactorGpuTables for consistency with other static tables. 2025-11-17 23:33:59 +01:00
mlemanczyk 2fc74cf98d Cleanup 2025-11-17 20:12:00 +01:00
mlemanczyk f630bfb598 HeuristicCombinedPrimeTesterAccelerator integrated with PrimeOrderCalculatorAccelerator. 2025-11-17 17:38:23 +01:00
mlemanczyk 183b147135 Heuristic tables split into 2 groups 2025-11-17 16:04:27 +01:00
mlemanczyk c413ee1162 Revert "Stream handling simplified to avoid dictionary lookups in favor of array lookups with known indexes."
This reverts commit a84445ef2a.
2025-11-16 17:14:48 +01:00
mlemanczyk a84445ef2a Stream handling simplified to avoid dictionary lookups in favor of array lookups with known indexes. 2025-11-16 15:01:51 +01:00
mlemanczyk cd7636ddbe Manual accelerator stream creations replaced with pool 2025-11-15 13:45:24 +01:00
mlemanczyk 0540411cad Accelerator index added for dictionary-less use-cases 2025-11-15 02:21:45 +01:00
mlemanczyk 6cb63b6e73 Internal accelerator array removed 2025-11-14 12:03:31 +01:00
mlemanczyk 42447c4e43 BinaryGcd switched to the best performing variant according to benchmarks. 2025-11-14 11:43:16 +01:00
mlemanczyk be435b7760 Kernels made part of the accelerators for better performance. 2025-11-13 18:52:46 +01:00
mlemanczyk 0d2a88c45f GpuPrimeWorkLimiter.Acquire() / .Release() removed to save time on the hot-path with billions of calls. We'll rely on AcceleratorStreamPool limits and synchronization. 2025-11-13 17:52:13 +01:00
mlemanczyk 1552e10ff0 VS Code settings updated. 2025-11-13 15:42:09 +01:00
mlemanczyk c53aa517f7 GpuScratchBuffer / -Pool naively integrated with PriemOrderCalculatorAccelerator (formerly Pow2MontgomeryAccelerator). FactorEntry replaced with 2 arrays - unused field removed. Small cleanup. 2025-11-13 14:41:27 +01:00
mlemanczyk 43863d03fb Performance improvements 2025-11-13 00:51:32 +01:00
mlemanczyk 5bc65464d0 Initial PollardRho implementation for GPU. Added pool for accelerator streams shared across the threads. GPU processing performance and stabilization improvements. GpuUInt128.BinaryGcd switched to the version which outperformed other in benchmarks. 2025-11-12 21:18:30 +01:00
mlemanczyk 735bfa1557 GPU accelerator recycled for better performance. 2025-11-12 07:39:52 +01:00
mlemanczyk fdc2da7dae Accelerator leak fixed. 2025-11-11 16:40:44 +01:00
mlemanczyk cf5f78c2ef PrimeTesterByLastDigitAccelerator integrated into Pow2MontgomeryGpuCalculator for better performance. 2025-11-11 13:36:21 +01:00
mlemanczyk 0de9871529 Functionality and classes separated. Kernel initialization made dependent on a flag. Cleanup. 2025-11-10 18:35:50 +01:00
mlemanczyk 45dfa3b724 Console logging extended with kernel warmup progress 2025-11-10 18:18:12 +01:00
mlemanczyk fa89958736 Stabilization improvements. Stream will be released when releasing GPU lease to prevent application crashes. 2025-11-10 14:30:30 +01:00
Marek Lemańczyk 2726c369f6 Merge pull request #256 from mlemanczyk/codex/optimize-evenperfectbitscanner-for-static-arrays
Adopt upstream GPU scratch isolation fixes
2025-11-09 21:53:50 +01:00
mlemanczyk d0b1639a5d GPU stabilization improvements to prevent calculation crashes 2025-11-09 21:52:16 +01:00
mlemanczyk a338bb0d0b Merge branch 'codex/optimize-evenperfectbitscanner-for-static-arrays' of https://github.com/mlemanczyk/even-perfect-numbers-scanner into codex/optimize-evenperfectbitscanner-for-static-arrays 2025-11-07 15:39:11 +01:00
mlemanczyk 8e779c5c9e GpuKernelLease removed 2025-11-07 15:36:45 +01:00
mlemanczyk da3093a9ba GpuKernelLease removed 2025-11-07 15:18:17 +01:00
mlemanczyk 0410fd2c91 PooledContext removal - continuation. GpuKernelLease prepared for removal. 2025-11-07 14:13:11 +01:00
mlemanczyk f4e365194d GpuContextPool removed, because we share context and accelerator between threads, using streams to separate. 2025-11-07 12:52:20 +01:00
mlemanczyk 7c035239b4 Cleanup. Classes & structs extracted to their own files. 2025-11-07 10:34:31 +01:00
mlemanczyk 119690086a ConcurrentDictionary removed. Kernel made dependent on the shared GPU context. 2025-11-07 10:16:33 +01:00
mlemanczyk 9537addf38 ArrayPool<T> replaced with ThreadStaticPools 2025-11-07 00:46:16 +01:00
mlemanczyk c004e140db Ignore words extended 2025-11-06 18:54:18 +01:00
mlemanczyk de2a78b27b Streams added to all kernels and GPU operations to separate threads from each other. 2025-11-06 18:53:55 +01:00
mlemanczyk 64d615c402 Various optimizations to separate non-static data between threads and resolve read/write access issue. 2025-11-04 20:45:56 +01:00
Marek Lemańczyk 5a17fa64d5 Restore per-lease kernel containers 2025-11-04 00:46:59 +01:00
Marek Lemańczyk dbde6337ea Tie GPU scratch buffers to context leases 2025-11-04 00:26:38 +01:00
Marek Lemańczyk 4c4d4243fb Merge remote-tracking branch 'github/codex/optimize-evenperfectbitscanner-for-static-arrays-khd9w8' into work
# Conflicts:
#	PerfectNumbers.Core/Gpu/GpuContextPool.cs
#	PerfectNumbers.Core/Gpu/GpuKernelLease.cs
#	PerfectNumbers.Core/Gpu/GpuKernelPool.cs
#	PerfectNumbers.Core/Gpu/GpuStaticTableInitializer.cs
#	PerfectNumbers.Core/Gpu/Kernels/PrimeOrderSpecialMaxKernels.cs
#	PerfectNumbers.Core/PrimeOrderCalculator.Cpu.cs
#	PerfectNumbers.Core/PrimeOrderCalculator.Gpu.cs
#	PerfectNumbers.Core/PrimeTester.cs
2025-11-03 23:59:12 +01:00
Marek Lemańczyk 507daaddb9 Merge pull request #253 from mlemanczyk/codex/optimize-evenperfectbitscanner-for-primetestergpucontextleas
Add GPU lease warm-up and shared limiter
2025-11-02 14:02:42 +01:00
Marek Lemańczyk 1cbe7bf869 Use GpuPrimeWorkLimiter for GPU lease limiting 2025-11-02 14:02:15 +01:00
Marek Lemańczyk 00d4e9bde2 Add GPU lease warm-up and shared limiter 2025-11-02 13:47:57 +01:00
mlemanczyk 0e7bbae132 GPU contexts and accelerators made shared to prevent application crashes with high no. of threads. 2025-11-02 12:51:31 +01:00
mlemanczyk b33a3c8e75 Compilation error fixed 2025-11-02 11:25:41 +01:00
mlemanczyk 07be671726 Various small optimizations 2025-11-02 11:24:18 +01:00
Marek Lemańczyk 76dfe108a9 Address feedback on GPU pooling and heuristic factoring 2025-11-02 11:22:49 +01:00
Marek Lemańczyk 5339c3c304 Use span growth instead of dictionaries in partial factor 2025-11-02 11:22:38 +01:00
Marek Lemańczyk ab6a416de2 Warm GPU resources before thread startup 2025-11-02 11:22:28 +01:00
mlemanczyk 2281d9535e Revert "Merge pull request #251 from mlemanczyk/codex/refactor-prime-checking-on-gpu-n5t2pm"
This reverts commit 936ce239db, reversing
changes made to e14b77e504.
2025-11-02 11:22:14 +01:00
Marek Lemańczyk 936ce239db Merge pull request #251 from mlemanczyk/codex/refactor-prime-checking-on-gpu-n5t2pm
Warm GPU resources before thread startup
2025-11-01 04:09:00 +01:00
mlemanczyk 22f20bfe98 Various small optimizations 2025-11-01 03:42:36 +01:00
Marek Lemańczyk b7c34f4960 Preload divisor generator tables for GPU pool contexts 2025-10-31 23:01:28 +01:00
Marek Lemańczyk 469c8057d3 Flatten heuristic trial division bounds checks 2025-10-31 22:45:59 +01:00
Marek Lemańczyk 8c662c5c85 Address feedback on GPU pooling and heuristic factoring 2025-10-31 21:47:42 +01:00
Marek Lemańczyk 567b92792c Use span growth instead of dictionaries in partial factor 2025-10-31 18:52:00 +01:00
Marek Lemańczyk 6864b316d5 Warm GPU resources before thread startup 2025-10-31 16:56:25 +01:00
mlemanczyk e14b77e504 Batch size made dynamic - dependent on the value 2025-10-30 02:43:15 +01:00
Marek Lemańczyk 30af16a4f6 Merge pull request #249 from mlemanczyk/codex/optimize-heuristiccombinedprimetester-calculations
Use divisor square tables in heuristic combined prime tester
2025-10-29 22:31:52 +01:00
mlemanczyk fc5700f82c IsPrime with cancellation token removed. 2025-10-29 22:31:28 +01:00
Marek Lemańczyk f9504a6a19 Use atomic flag writes in heuristic trial division 2025-10-29 20:40:40 +01:00
Marek Lemańczyk 5ac05489c1 Use precomputed divisor squares in heuristic prime tester 2025-10-29 20:22:41 +01:00
Marek Lemańczyk f7a0627ce5 Align heuristic prime testers with squared limits 2025-10-29 19:35:59 +01:00
Marek Lemańczyk 5536dc4865 Fix GPU by-divisor hang for small primes 2025-10-29 19:21:41 +01:00
Marek Lemańczyk c61df1c33b Inline batch copies for GPU prime tester 2025-10-29 19:21:32 +01:00
Marek Lemańczyk 2b0fc5be13 Pool reusable GPU leases with embedded kernel state 2025-10-29 18:22:40 +01:00
Marek Lemańczyk a4ac82e74d Inline GPU kernel state into prime tester leases 2025-10-29 18:13:51 +01:00
Marek Lemańczyk 23fa56b356 Embed kernel state lookup in GPU leases 2025-10-29 18:13:46 +01:00
Marek Lemańczyk 08499fdda1 Refine GPU prime tester leasing 2025-10-29 17:39:38 +01:00
Marek Lemańczyk 6395b06b19 Optimize single GPU prime path and reuse lease buffers 2025-10-29 17:20:21 +01:00
Marek Lemańczyk 83a6c6c558 Scope GPU prime tester buffers to leases 2025-10-29 17:05:17 +01:00
Marek Lemańczyk ca53ddc798 Inline GPU lease buffers into the context lease 2025-10-29 16:53:29 +01:00
Marek Lemańczyk aab785650d Manage GPU lease buffers without kernel scratch pool 2025-10-29 16:53:22 +01:00
Marek Lemańczyk 13b59abb1c Embed GPU scratch buffers in context leases 2025-10-29 16:25:38 +01:00
Marek Lemańczyk b753654ebb Enforce valid divisor selectors in heuristic combined tester 2025-10-29 15:32:40 +01:00
Marek Lemańczyk b0158a844a Use divisor squares to bound heuristic combined trial division 2025-10-29 15:13:54 +01:00
mlemanczyk 4ab77ba170 Merge branch 'codex/analyze-gc-instances-in-checkdivisors-method' of https://github.com/mlemanczyk/even-perfect-numbers-scanner into codex/analyze-gc-instances-in-checkdivisors-method 2025-10-29 14:06:08 +01:00
Marek Lemańczyk 47eee81d3c Merge pull request #248 from mlemanczyk/codex/optimize-heuristicprimetester-for-divisor-selection
Add filtered group B divisor tables for heuristic GPU checks
2025-10-29 14:05:02 +01:00
mlemanczyk b2865b54ce Tiny optimization 2025-10-29 14:04:25 +01:00
mlemanczyk 4c79c4087e Various optimizations 2025-10-29 14:00:38 +01:00
mlemanczyk 3147728d5b Benchmarks for heuristic combined methods added 2025-10-29 04:53:13 +01:00
mlemanczyk 880b1cd962 Revert "Unroll divisor-by-divisor GPU kernel loops"
This reverts commit 5d14efb739.
2025-10-29 04:51:28 +01:00
Marek Lemańczyk 5d14efb739 Unroll divisor-by-divisor GPU kernel loops 2025-10-29 04:31:45 +01:00
Marek Lemańczyk f49963c4f6 Restore Math.Sqrt heuristic bound 2025-10-29 01:43:12 +01:00
Marek Lemańczyk 5a9e103bd5 Replace heuristic sqrt with log2-based estimate 2025-10-29 01:29:12 +01:00
Marek Lemańczyk eeeff42be6 Replace heuristic sqrt with integer algorithm 2025-10-29 01:02:31 +01:00
Marek Lemańczyk b54f4b6bd6 Simplify combined heuristic divisor selection 2025-10-29 00:44:46 +01:00
Marek Lemańczyk b2cb17a96f Return to one-A-one-B combined schedule 2025-10-29 00:44:39 +01:00
Marek Lemańczyk f993561cd5 Eagerly build combined divisors and restore two-A-one-B default 2025-10-28 23:43:15 +01:00
Marek Lemańczyk e8d163f595 Add three-A-two-B combined divisor schedule 2025-10-28 23:22:16 +01:00
Marek Lemańczyk 465b40bf35 Add three-A-one-B schedule to combined tester 2025-10-28 23:09:41 +01:00
Marek Lemańczyk 4c445f2a42 Switch combined heuristic divisors to 1A-1B schedule 2025-10-28 22:55:17 +01:00
Marek Lemańczyk 41bff698e8 Add combined heuristic prime tester with shared divisor arrays 2025-10-28 22:40:51 +01:00
mlemanczyk 0850227881 Switched to heuristic GPU for a better performance than the standard one. 2025-10-28 22:15:33 +01:00
Marek Lemańczyk c693a05708 Add reusable group B divisor tables without trailing-three primes 2025-10-28 21:56:18 +01:00
Marek Lemańczyk b83bddf49a Merge pull request #247 from mlemanczyk/codex/fix-unhandled-exception-in-evenperfectbitscanner
Fix GPU Montgomery multiply to avoid unsupported intrinsics
2025-10-28 21:10:09 +01:00
mlemanczyk e5f5cd563e Merge branch 'codex/fix-unhandled-exception-in-evenperfectbitscanner' of https://github.com/mlemanczyk/even-perfect-numbers-scanner into codex/fix-unhandled-exception-in-evenperfectbitscanner 2025-10-28 21:08:14 +01:00
Marek Lemańczyk 3304335072 Rename CPU Montgomery multiply and align GPU helper 2025-10-28 21:06:40 +01:00
mlemanczyk ab045a62c4 Revert "Temporarily enabling heuristic GPU order checks."
This reverts commit 4db06cfe80.
2025-10-28 21:04:09 +01:00
Marek Lemańczyk eaee599f25 Use GPU-safe Montgomery multiply in kernels 2025-10-28 20:58:02 +01:00
mlemanczyk 4db06cfe80 Temporarily enabling heuristic GPU order checks. 2025-10-28 20:49:41 +01:00
mlemanczyk bead40713c Switching .IsPrime check to CPU for much higher performance. 2025-10-28 20:49:11 +01:00
mlemanczyk ca8ab2bcf8 Tester made static to better mimic production code. 2025-10-28 20:48:35 +01:00
Marek Lemańczyk d149700311 Merge pull request #246 from mlemanczyk/codex/compare-cpu-and-gpu-execution-paths
Make GPU sieve results authoritative
2025-10-28 20:14:33 +01:00
Marek Lemańczyk 1792349bad Make GPU sieve results authoritative 2025-10-28 20:14:22 +01:00
mlemanczyk 2f461ee001 Merge branch 'codex/analyze-gc-instances-in-checkdivisors-method' of https://github.com/mlemanczyk/even-perfect-numbers-scanner into codex/analyze-gc-instances-in-checkdivisors-method 2025-10-28 20:12:45 +01:00
mlemanczyk 93aed56f23 Non-heuristic GPU benchmark uncommented, since we improved it. 2025-10-28 20:12:41 +01:00
Marek Lemańczyk ff9774925e Merge pull request #245 from mlemanczyk/codex/move-buildsmallprimes-to-divisorgenerator-g256a9
Enable residue-aware GPU sieve in PrimeTester
2025-10-28 20:00:22 +01:00
Marek Lemańczyk 1f9421430b Reuse GPU divisor tables across PrimeTester batches 2025-10-28 19:53:11 +01:00
Marek Lemańczyk c53966e481 Enable residue-aware GPU sieve in PrimeTester 2025-10-28 18:39:18 +01:00
mlemanczyk 3d43d52f2e Console logging updated 2025-10-28 16:04:42 +01:00
Marek Lemańczyk fa4bb0bcc1 Merge pull request #243 from mlemanczyk/codex/modify-evenperfectbitscanner-to-use-taskthreadpool
Refactor by-divisor scheduling to use task thread pool
2025-10-28 15:47:47 +01:00
Marek Lemańczyk c4c783610b Add start gate to by-divisor task scheduling 2025-10-28 15:32:15 +01:00
Marek Lemańczyk 29f58e3059 Refactor by-divisor scheduling to use task thread pool 2025-10-28 15:11:21 +01:00
Marek Lemańczyk 29af0cb0ce Merge pull request #242 from mlemanczyk/codex/modify-taskthreadpool-to-terminate-threads-after-tasks
Stop tracking double disposal in TaskThreadPool
2025-10-28 14:29:48 +01:00
Marek Lemańczyk 3edf2cd575 Stop tracking double disposal in TaskThreadPool 2025-10-28 14:29:34 +01:00
Marek Lemańczyk a89ed7576e Merge pull request #241 from mlemanczyk/codex/remove-executionscope-structure
Remove GPU context creation lock
2025-10-28 13:39:43 +01:00
Marek Lemańczyk 86990ae0f7 Remove kernel initialization lock from GPU leases 2025-10-28 13:30:47 +01:00
Marek Lemańczyk de7ddd8db3 Remove GPU context creation lock 2025-10-28 13:26:20 +01:00
mlemanczyk 139899fa5e More console logs added. 2025-10-28 02:11:24 +01:00
Marek Lemańczyk c39a99a4fd Merge pull request #240 from mlemanczyk/codex/analyze-mersenne=bydivisor-loops-for-early-breaks-kynlfe
Remove temporary by-divisor review documents
2025-10-28 02:01:52 +01:00
Marek Lemańczyk 6dd5cea79f Remove temporary by-divisor review documents 2025-10-28 02:01:28 +01:00
Marek Lemańczyk bd0727131f Merge pull request #238 from mlemanczyk/codex/optimize-evenperfectbitscanner-loops-kit1so
Hoist prime order thresholds in CPU heuristics
2025-10-27 21:31:23 +01:00
Marek Lemańczyk 968dd89d0d Remove by-divisor path map document 2025-10-27 21:28:41 +01:00
Marek Lemańczyk 94a4ed8328 Hoist prime order thresholds in CPU heuristics 2025-10-27 21:24:43 +01:00
mlemanczyk d381abe0cc We'll now clear the dictionary after renting, to avoid unnecessary clearing if it's not going to be used anymore. 2025-10-27 16:54:49 +01:00
mlemanczyk 50d66a5186 Switched to GPU version in some places. 2025-10-27 15:30:10 +01:00
241 changed files with 122450 additions and 18286 deletions

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+9
View File
@@ -8,6 +8,15 @@ EvenPerfectBitScanner.ResultsParser/bin/*
EvenPerfectBitScanner.ResultsParser/obj/*
EvenPerfectBitScanner.Tests/bin/*
EvenPerfectBitScanner.Tests/obj/*
BuildDivisorTransitions/bin/*
BuildDivisorTransitions/obj/*
DeviceDependentGenerator/bin/*
DeviceDependentGenerator/obj/*
DeviceDependentGenerator.Tests/bin/*
DeviceDependentGenerator.Tests/obj/*
PerfectNumbers.Core.Tests/bin/*
PerfectNumbers.Core.Tests/obj/*
.DS_Store
.vs/*
*.generated.cs
PerfectNumbers.Core/generated/*
+30 -2
View File
@@ -8,7 +8,8 @@
"options": [
"EvenPerfectBitScanner",
"EvenPerfectBitScanner.ResultsParser",
"EvenPerfectBitScanner.Benchmarks"
"EvenPerfectBitScanner.Benchmarks",
"BuildDivisorTransitions"
],
"default": "EvenPerfectBitScanner"
}
@@ -68,6 +69,33 @@
"internalConsoleOptions": "neverOpen",
"justMyCode": false
},
{
"name": "Run BuildDivisorTransitions",
"type": "coreclr",
"request": "launch",
"noDebug": true,
"preLaunchTask": "Build BuildDivisorTransitions Release",
"program": "${workspaceFolder}/BuildDivisorTransitions/bin/Release/net8.0/BuildDivisorTransitions.dll",
"args": [],
"cwd": "${workspaceFolder}",
"stopAtEntry": false,
"console": "integratedTerminal",
"internalConsoleOptions": "neverOpen",
"justMyCode": false
},
{
"name": "Debug BuildDivisorTransitions",
"type": "coreclr",
"request": "launch",
"preLaunchTask": "Build BuildDivisorTransitions Debug",
"program": "${workspaceFolder}/BuildDivisorTransitions/bin/Debug/net8.0/BuildDivisorTransitions.dll",
"args": [],
"cwd": "${workspaceFolder}",
"stopAtEntry": false,
"console": "integratedTerminal",
"internalConsoleOptions": "neverOpen",
"justMyCode": false
},
{
"name": "Run EvenPerfectBitScanner.ResultsParser",
"type": "coreclr",
@@ -136,4 +164,4 @@
"justMyCode": false
}
]
}
}
+4 -1
View File
@@ -2,6 +2,7 @@
"dotnet.defaultSolution": "FlexiCoder.sln",
"chatgpt.openOnStartup": true,
"cSpell.words": [
"bydivisor",
"CCCCCCCDUL",
"cofactor",
"ILGPU",
@@ -9,5 +10,7 @@
"Mersenne",
"primality",
"suff"
]
],
"geminicodeassist.project": "evenperfectbitscanner",
"todo-tree.tree.showCountsInTree": true
}
+50 -3
View File
@@ -11,7 +11,8 @@
"--configuration",
"Debug",
"--framework",
"net8.0"
"net8.0",
"/p:DeviceDependentGenerator_CopyGeneratedToProjectDir=true"
],
"group": {
"kind": "build",
@@ -29,7 +30,8 @@
"--configuration",
"Release",
"--framework",
"net8.0"
"net8.0",
"/p:DeviceDependentGenerator_CopyGeneratedToProjectDir=true"
],
"group": "build",
"problemMatcher": "$msCompile"
@@ -94,6 +96,36 @@
"group": "build",
"problemMatcher": "$msCompile"
},
{
"label": "Build BuildDivisorTransitions Debug",
"command": "dotnet",
"type": "process",
"args": [
"build",
"${workspaceFolder}/BuildDivisorTransitions/BuildDivisorTransitions.csproj",
"--configuration",
"Debug",
"--framework",
"net8.0"
],
"group": "build",
"problemMatcher": "$msCompile"
},
{
"label": "Build BuildDivisorTransitions Release",
"command": "dotnet",
"type": "process",
"args": [
"build",
"${workspaceFolder}/BuildDivisorTransitions/BuildDivisorTransitions.csproj",
"--configuration",
"Release",
"--framework",
"net8.0"
],
"group": "build",
"problemMatcher": "$msCompile"
},
{
"label": "Run EvenPerfectBitScanner",
"type": "process",
@@ -124,6 +156,21 @@
],
"problemMatcher": []
},
{
"label": "Run BuildDivisorTransitions",
"type": "process",
"command": "dotnet",
"args": [
"run",
"--project",
"${workspaceFolder}/BuildDivisorTransitions/BuildDivisorTransitions.csproj",
"--configuration",
"Release",
"--framework",
"net8.0"
],
"problemMatcher": []
},
{
"label": "Run Release (no debug)",
"type": "process",
@@ -183,4 +230,4 @@
"problemMatcher": []
}
]
}
}
@@ -0,0 +1,8 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFramework>net8.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
</PropertyGroup>
</Project>
+257
View File
@@ -0,0 +1,257 @@
using System.Globalization;
using System.Numerics;
using System.Text;
namespace BuildDivisorTransitions;
internal static class Program
{
private const string OutputFileName = "NextKForecastTraning.csv";
private static int Main(string[] args)
{
if (args.Length != 2)
{
PrintUsage();
return 1;
}
string candidatesPath = args[0];
string divisorsPath = args[1];
if (!File.Exists(candidatesPath))
{
Console.Error.WriteLine($"Candidates file not found: {candidatesPath}");
return 1;
}
if (!File.Exists(divisorsPath))
{
Console.Error.WriteLine($"Divisors file not found: {divisorsPath}");
return 1;
}
List<long> candidatePs = LoadCandidates(candidatesPath);
Dictionary<long, BigInteger> divisors = LoadDivisors(divisorsPath);
List<Transition> transitions = BuildTransitions(candidatePs, divisors);
WriteOutput(transitions);
Console.WriteLine($"Saved {transitions.Count} transitions to {OutputFileName}.");
return 0;
}
private static void PrintUsage()
{
Console.WriteLine("Usage: BuildDivisorTransitions <candidatesCsv> <divisorsCsv>");
Console.WriteLine(" candidatesCsv: CSV with columns p,searchedMersenne,detailedCheck,passedAllTests");
Console.WriteLine(" divisorsCsv: CSV with columns p,divisor");
}
private static List<long> LoadCandidates(string path)
{
var result = new List<long>();
var seen = new HashSet<long>();
using var stream = new FileStream(path, FileMode.Open, FileAccess.Read, FileShare.ReadWrite);
using var reader = new StreamReader(stream, Encoding.UTF8, detectEncodingFromByteOrderMarks: true);
while (!reader.EndOfStream)
{
string? line = reader.ReadLine();
if (string.IsNullOrWhiteSpace(line))
{
continue;
}
string trimmedLine = line.Trim();
if (trimmedLine.StartsWith("p", StringComparison.OrdinalIgnoreCase))
{
continue;
}
string[] parts = trimmedLine.Split(',', StringSplitOptions.TrimEntries);
if (parts.Length == 0)
{
continue;
}
if (!long.TryParse(parts[0], NumberStyles.Integer, CultureInfo.InvariantCulture, out long p))
{
throw new FormatException($"Invalid p value '{parts[0]}' in {path}.");
}
if (seen.Add(p))
{
result.Add(p);
}
}
return result;
}
private static Dictionary<long, BigInteger> LoadDivisors(string path)
{
var result = new Dictionary<long, BigInteger>();
using var stream = new FileStream(path, FileMode.Open, FileAccess.Read, FileShare.ReadWrite);
using var reader = new StreamReader(stream, Encoding.UTF8, detectEncodingFromByteOrderMarks: true);
while (!reader.EndOfStream)
{
string? line = reader.ReadLine();
if (string.IsNullOrWhiteSpace(line))
{
continue;
}
string trimmedLine = line.Trim();
if (trimmedLine.StartsWith("p", StringComparison.OrdinalIgnoreCase))
{
continue;
}
string[] parts = trimmedLine.Split(',', StringSplitOptions.TrimEntries);
if (parts.Length < 2)
{
throw new FormatException($"Line '{line}' in {path} does not contain both p and divisor columns.");
}
if (!long.TryParse(parts[0], NumberStyles.Integer, CultureInfo.InvariantCulture, out long p))
{
throw new FormatException($"Invalid p value '{parts[0]}' in {path}.");
}
if (!BigInteger.TryParse(parts[1], NumberStyles.Integer, CultureInfo.InvariantCulture, out BigInteger divisor))
{
throw new FormatException($"Invalid divisor value '{parts[1]}' for p={p} in {path}.");
}
if (IsProperMersenneDivisor(p, divisor))
{
result[p] = divisor;
}
else
{
Console.Error.WriteLine($"Skipping invalid divisor entry p={p}, divisor={divisor} (not a proper divisor of 2^{p}-1 or fails powmod check).");
}
}
return result;
}
private static List<Transition> BuildTransitions(IReadOnlyList<long> candidatePs, IReadOnlyDictionary<long, BigInteger> divisors)
{
var transitions = new List<Transition>();
for (int i = 0; i < candidatePs.Count - 1; i++)
{
long currentP = candidatePs[i];
long nextP = candidatePs[i + 1];
if (!divisors.TryGetValue(currentP, out BigInteger currentDivisor))
{
continue;
}
if (!divisors.TryGetValue(nextP, out BigInteger nextDivisor))
{
continue;
}
BigInteger currentK = CalculateK(currentP, currentDivisor);
BigInteger nextK = CalculateK(nextP, nextDivisor);
bool isNextKHigher = nextK > currentK;
transitions.Add(new Transition(currentP, currentDivisor, LastDigit(currentP), currentK, LastMersenneDigit(currentP), isNextKHigher));
}
return transitions;
}
private static BigInteger CalculateK(long p, BigInteger divisor)
{
BigInteger numerator = divisor - BigInteger.One;
BigInteger denominator = new BigInteger(p) << 1;
if (denominator <= BigInteger.Zero)
{
throw new InvalidOperationException($"Computed 2p is not positive for p={p}.");
}
BigInteger remainder = numerator % denominator;
if (remainder != BigInteger.Zero)
{
throw new InvalidOperationException($"Divisor {divisor} is not congruent to 1 mod 2p for p={p}.");
}
BigInteger k = numerator / denominator;
if (k < BigInteger.One)
{
throw new InvalidOperationException($"Calculated k={k} is less than 1 for p={p}, divisor={divisor}.");
}
return k;
}
private static bool IsProperMersenneDivisor(long p, in BigInteger divisor)
{
if (p <= 1 || divisor <= BigInteger.One)
{
return false;
}
int bitLength = GetBitLength(divisor);
if (bitLength > p)
{
return false;
}
if (bitLength == p && IsPowerOfTwo(divisor + BigInteger.One))
{
// Divisor equals the Mersenne number itself.
return false;
}
return BigInteger.ModPow(2, p, divisor) == BigInteger.One;
}
private static int GetBitLength(in BigInteger value)
{
if (value.IsZero)
{
return 0;
}
byte[] bytes = value.ToByteArray(isUnsigned: true, isBigEndian: false);
byte msb = bytes[^1];
return ((bytes.Length - 1) * 8) + (BitOperations.Log2(msb) + 1);
}
private static bool IsPowerOfTwo(in BigInteger value)
{
return value > BigInteger.One && (value & (value - BigInteger.One)) == BigInteger.Zero;
}
private static void WriteOutput(IReadOnlyCollection<Transition> transitions)
{
using var writer = new StreamWriter(OutputFileName, false, Encoding.UTF8);
writer.WriteLine("p,divisor,lastDigit,k,lastMersenneDigit,isNextKHigher");
foreach (Transition transition in transitions)
{
writer.WriteLine($"{transition.P.ToString(CultureInfo.InvariantCulture)},{FormatBigInteger(transition.Divisor)},{transition.LastDigit},{FormatBigInteger(transition.CurrentK)},{transition.LastMersenneDigit},{(transition.IsNextKHigher ? "1" : "0")}");
}
}
private static int LastDigit(long p) => (int)(Math.Abs(p) % 10);
private static int LastMersenneDigit(long p)
{
long mod = p & 3;
return mod == 1 ? 1 : 7; // odd primes give p%4 == 1 or 3; 2^p mod 10 cycles -> 1 or 7 after subtracting 1
}
private static string FormatBigInteger(in BigInteger value) => value.ToString(CultureInfo.InvariantCulture);
private sealed record Transition(long P, BigInteger Divisor, int LastDigit, BigInteger CurrentK, int LastMersenneDigit, bool IsNextKHigher);
}
@@ -0,0 +1,31 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>net8.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<IsPackable>false</IsPackable>
<IsTestProject>true</IsTestProject>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.6.0" />
<PackageReference Include="xunit" Version="2.4.2" />
<PackageReference Include="xunit.runner.visualstudio" Version="2.4.5">
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
<PrivateAssets>all</PrivateAssets>
</PackageReference>
<PackageReference Include="coverlet.collector" Version="6.0.0">
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
<PrivateAssets>all</PrivateAssets>
</PackageReference>
<PackageReference Include="FluentAssertions" Version="6.12.0" />
<PackageReference Include="Microsoft.CodeAnalysis.CSharp" Version="4.14.0" PrivateAssets="all" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\DeviceDependentGenerator\DeviceDependentGenerator.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,123 @@
using System.Collections.Immutable;
using FluentAssertions;
using Microsoft.CodeAnalysis;
using Microsoft.CodeAnalysis.CSharp;
using Xunit;
namespace DeviceDependentGenerator.Tests;
public sealed class DeviceDependentGeneratorTests
{
[Fact]
public void Generates_classes_per_enum_value_and_filters_device_blocks_with_suffix()
{
const string attributeAndEnum = """
using System;
namespace PerfectNumbers.Core;
[AttributeUsage(AttributeTargets.Class | AttributeTargets.Struct, Inherited = false, AllowMultiple = false)]
public sealed class DeviceDependentTemplateAttribute : Attribute
{
public DeviceDependentTemplateAttribute(Type enumType) { }
}
[AttributeUsage(AttributeTargets.Class | AttributeTargets.Struct, Inherited = false, AllowMultiple = true)]
public sealed class EnumDependentTemplateAttribute : Attribute
{
public EnumDependentTemplateAttribute(Type enumType) { }
}
[AttributeUsage(AttributeTargets.Class | AttributeTargets.Struct, Inherited = false, AllowMultiple = false)]
public sealed class NameSuffixAttribute : Attribute
{
public NameSuffixAttribute(string suffix) { }
}
public enum CalculationDevice
{
Cpu,
Hybrid,
Gpu,
}
""";
const string template = """
using System;
namespace PerfectNumbers.Core;
[DeviceDependentTemplate(typeof(CalculationDevice))]
[NameSuffix("Impl")]
public static class PrimeCalculatorTemplate
{
#if DEVICE_CPU
public static string Device => "CPU";
#elif DEVICE_HYBRID
public static string Device => "HYBRID";
#elif DEVICE_GPU
public static string Device => "GPU";
#else
#error Unknown device
#endif
}
""";
CSharpCompilation compilation = CreateCompilation(attributeAndEnum, template);
var generator = new PerfectNumbers.Core.Generators.DeviceDependentGenerator();
var parseOptions = (CSharpParseOptions)compilation.SyntaxTrees.First().Options;
ISourceGenerator sourceGenerator = generator.AsSourceGenerator();
GeneratorDriver driver = CSharpGeneratorDriver.Create(new[] { sourceGenerator }, parseOptions: parseOptions);
driver = driver.RunGeneratorsAndUpdateCompilation(compilation, out _, out ImmutableArray<Diagnostic> diagnostics);
diagnostics.Should().BeEmpty();
GeneratorDriverRunResult runResult = driver.GetRunResult();
runResult.Diagnostics.Should().BeEmpty();
ImmutableArray<GeneratedSourceResult> generated = runResult.Results.Single().GeneratedSources;
string cpu = generated.Single(s => s.HintName.EndsWith("PrimeCalculator.CpuImpl.generated.cs", StringComparison.Ordinal)).SourceText.ToString();
string hybrid = generated.Single(s => s.HintName.EndsWith("PrimeCalculator.HybridImpl.generated.cs", StringComparison.Ordinal)).SourceText.ToString();
string gpu = generated.Single(s => s.HintName.EndsWith("PrimeCalculator.GpuImpl.generated.cs", StringComparison.Ordinal)).SourceText.ToString();
cpu.Should().Contain("class PrimeCalculatorCpuImpl");
cpu.Should().Contain("=> \"CPU\"");
cpu.Should().NotContain("#if");
cpu.Should().NotContain("#endif");
hybrid.Should().Contain("class PrimeCalculatorHybridImpl");
hybrid.Should().Contain("=> \"HYBRID\"");
hybrid.Should().NotContain("#if");
hybrid.Should().NotContain("#endif");
gpu.Should().Contain("class PrimeCalculatorGpuImpl");
gpu.Should().Contain("=> \"GPU\"");
gpu.Should().NotContain("#if");
gpu.Should().NotContain("#endif");
}
private static CSharpCompilation CreateCompilation(params string[] sources)
{
var parseOptions = new CSharpParseOptions(LanguageVersion.CSharp12);
var trees = sources.Select((text, i) => CSharpSyntaxTree.ParseText(text, parseOptions, path: "Test" + i + ".cs"));
var references = new[]
{
typeof(object),
typeof(Attribute),
typeof(Enumerable),
typeof(System.Runtime.GCSettings),
}
.Select(static t => MetadataReference.CreateFromFile(t.Assembly.Location))
.DistinctBy(static r => r.Display)
.ToList();
return CSharpCompilation.Create(
assemblyName: "DeviceDependentGenerator.Tests.Compilation",
syntaxTrees: trees,
references: references,
options: new CSharpCompilationOptions(OutputKind.DynamicallyLinkedLibrary));
}
}
@@ -0,0 +1,678 @@
using System;
using System.Collections.Generic;
using System.Collections.Immutable;
using System.Linq;
using System.Text;
using System.Threading;
using Microsoft.CodeAnalysis;
using Microsoft.CodeAnalysis.CSharp;
using Microsoft.CodeAnalysis.CSharp.Syntax;
using Microsoft.CodeAnalysis.Diagnostics;
using Microsoft.CodeAnalysis.Text;
namespace PerfectNumbers.Core.Generators;
[Generator(LanguageNames.CSharp)]
public sealed class DeviceDependentGenerator : IIncrementalGenerator
{
private const string DeviceDependentTemplateAttributeMetadataName = "PerfectNumbers.Core.DeviceDependentTemplateAttribute";
private const string EnumDependentTemplateAttributeMetadataName = "PerfectNumbers.Core.EnumDependentTemplateAttribute";
private const string NameSuffixAttributeMetadataName = "PerfectNumbers.Core.NameSuffixAttribute";
private static readonly DiagnosticDescriptor TemplateEnumTypeMustBeEnum = new(
id: "DDG001",
title: "Template attribute requires an enum type",
messageFormat: "Template attribute '{0}' requires an enum type, but '{1}' is not an enum.",
category: "DeviceDependentGenerator",
defaultSeverity: DiagnosticSeverity.Error,
isEnabledByDefault: true);
private static readonly DiagnosticDescriptor TemplateMustBeTopLevel = new(
id: "DDG002",
title: "DeviceDependentTemplate must be top-level",
messageFormat: "DeviceDependentTemplate can only be used on a top-level class/struct (not nested types).",
category: "DeviceDependentGenerator",
defaultSeverity: DiagnosticSeverity.Error,
isEnabledByDefault: true);
private static readonly DiagnosticDescriptor TemplateNotFoundInDeviceParse = new(
id: "DDG003",
title: "Template not found after preprocessing",
messageFormat: "Could not find template type '{0}' after preprocessing for combination '{1}'.",
category: "DeviceDependentGenerator",
defaultSeverity: DiagnosticSeverity.Error,
isEnabledByDefault: true);
private static readonly DiagnosticDescriptor DuplicateSingleUseAttribute = new(
id: "DDG004",
title: "Template attribute used multiple times",
messageFormat: "Attribute '{0}' can be applied only once to '{1}'.",
category: "DeviceDependentGenerator",
defaultSeverity: DiagnosticSeverity.Error,
isEnabledByDefault: true);
public void Initialize(IncrementalGeneratorInitializationContext context)
{
IncrementalValuesProvider<TemplateInfo> templates = context.SyntaxProvider.CreateSyntaxProvider(
predicate: static (node, _) => node is TypeDeclarationSyntax typeDecl && typeDecl.AttributeLists.Count > 0,
transform: static (syntaxContext, cancellationToken) => TryGetTemplateInfo(syntaxContext, cancellationToken))
.Where(static info => info is not null)!
.Select(static (info, _) => info!);
IncrementalValueProvider<GeneratorOptions> options = context.AnalyzerConfigOptionsProvider.Select(
static (provider, _) => new GeneratorOptions(provider.GlobalOptions));
IncrementalValueProvider<(Compilation Compilation, GeneratorOptions Options)> compilationAndOptions =
context.CompilationProvider.Combine(options).Select(static (pair, _) => (pair.Left, pair.Right));
context.RegisterSourceOutput(templates.Combine(compilationAndOptions), static (productionContext, pair) =>
{
GenerateForTemplate(productionContext, pair.Left, pair.Right.Compilation, pair.Right.Options);
});
}
private static TemplateInfo? TryGetTemplateInfo(GeneratorSyntaxContext context, CancellationToken cancellationToken)
{
cancellationToken.ThrowIfCancellationRequested();
if (context.Node is not TypeDeclarationSyntax typeSyntax)
{
return null;
}
if (context.SemanticModel.GetDeclaredSymbol(typeSyntax, cancellationToken) is not INamedTypeSymbol templateSymbol)
{
return null;
}
return CollectTemplateInfo(templateSymbol, typeSyntax, cancellationToken);
}
private static void GenerateForTemplate(SourceProductionContext context, TemplateInfo template, Compilation compilation, GeneratorOptions options)
{
foreach (Diagnostic diagnostic in template.Diagnostics)
{
context.ReportDiagnostic(diagnostic);
}
if (!template.Valid || !template.HasAnyTemplateAttribute)
{
return;
}
if (template.DeclaringSyntaxReference?.GetSyntax(context.CancellationToken) is not TypeDeclarationSyntax templateSyntax)
{
return;
}
if (!IsTopLevel(templateSyntax))
{
context.ReportDiagnostic(Diagnostic.Create(TemplateMustBeTopLevel, templateSyntax.Identifier.GetLocation()));
return;
}
string templateName = template.Name;
string baseName = templateName.EndsWith("Template", StringComparison.Ordinal)
? templateName.Substring(0, templateName.Length - "Template".Length)
: templateName;
SourceText fileText = templateSyntax.SyntaxTree.GetText(context.CancellationToken);
CSharpParseOptions baseParseOptions = (CSharpParseOptions)templateSyntax.SyntaxTree.Options;
string filePath = templateSyntax.SyntaxTree.FilePath;
foreach (TemplateVariant variant in template.ExpandVariants())
{
CSharpParseOptions parseOptions = WithDefines(baseParseOptions, variant.PreprocessorSymbols);
SyntaxTree deviceTree = CSharpSyntaxTree.ParseText(
fileText.ToString(),
parseOptions,
filePath,
encoding: Encoding.UTF8);
CompilationUnitSyntax deviceRoot = deviceTree.GetCompilationUnitRoot(context.CancellationToken);
TypeDeclarationSyntax? deviceTemplateSyntax = FindTemplateDeclaration(deviceRoot, templateName);
if (deviceTemplateSyntax is null)
{
context.ReportDiagnostic(Diagnostic.Create(
TemplateNotFoundInDeviceParse,
templateSyntax.Identifier.GetLocation(),
templateName,
variant.CombinationDisplay));
continue;
}
ReportDeviceSpecificTemplateErrors(context, deviceTree);
string generatedTypeName = baseName + variant.NameSuffix + template.NameSuffix;
TypeDeclarationSyntax generatedTypeSyntax = TransformTemplateType(deviceTemplateSyntax, generatedTypeName);
CompilationUnitSyntax generatedRoot = BuildGeneratedFile(
externs: deviceRoot.Externs,
usings: deviceRoot.Usings,
containingNamespace: template.ContainingNamespace,
typeDeclaration: generatedTypeSyntax);
generatedRoot = (CompilationUnitSyntax)new ConditionalDirectiveAndDisabledTextStripper().Visit(generatedRoot)!;
generatedRoot = generatedRoot.NormalizeWhitespace();
string generatedFileName = baseName + "." + variant.FileSuffix + template.NameSuffix + ".generated.cs";
string hintName = options.BuildHintName(template.ContainingNamespace, generatedFileName);
context.AddSource(
hintName,
SourceText.From("// <auto-generated/>\n#nullable enable\n" + generatedRoot.ToFullString(), Encoding.UTF8));
}
}
private static void ReportDeviceSpecificTemplateErrors(SourceProductionContext context, SyntaxTree deviceTree)
{
foreach (Diagnostic diagnostic in deviceTree.GetDiagnostics(context.CancellationToken))
{
if (diagnostic.Severity == DiagnosticSeverity.Error)
{
context.ReportDiagnostic(diagnostic);
}
}
}
private static bool IsTopLevel(TypeDeclarationSyntax typeDeclaration)
=> typeDeclaration.Parent is NamespaceDeclarationSyntax
|| typeDeclaration.Parent is FileScopedNamespaceDeclarationSyntax
|| typeDeclaration.Parent is CompilationUnitSyntax;
private static CSharpParseOptions WithDefines(CSharpParseOptions baseParseOptions, IEnumerable<string> defines)
=> baseParseOptions.WithPreprocessorSymbols(baseParseOptions.PreprocessorSymbolNames.Concat(defines).Distinct());
private static TypeDeclarationSyntax? FindTemplateDeclaration(CompilationUnitSyntax root, string templateName)
{
foreach (TypeDeclarationSyntax typeDecl in root.DescendantNodes().OfType<TypeDeclarationSyntax>())
{
if (string.Equals(typeDecl.Identifier.ValueText, templateName, StringComparison.Ordinal))
{
return typeDecl;
}
}
return null;
}
private static TypeDeclarationSyntax TransformTemplateType(TypeDeclarationSyntax templateType, string generatedTypeName)
{
TypeDeclarationSyntax withoutAttribute = RemoveTemplateAttributes(templateType);
TypeDeclarationSyntax renamed = (TypeDeclarationSyntax)new SelfIdentifierRewriter(templateType.Identifier.ValueText, generatedTypeName).Visit(withoutAttribute)!;
return renamed.WithIdentifier(SyntaxFactory.Identifier(generatedTypeName));
}
private static TypeDeclarationSyntax RemoveTemplateAttributes(TypeDeclarationSyntax typeDeclaration)
{
if (typeDeclaration.AttributeLists.Count == 0)
{
return typeDeclaration;
}
var newLists = new List<AttributeListSyntax>(typeDeclaration.AttributeLists.Count);
foreach (AttributeListSyntax list in typeDeclaration.AttributeLists)
{
SeparatedSyntaxList<AttributeSyntax> attributes = list.Attributes;
var newAttributes = new List<AttributeSyntax>(attributes.Count);
foreach (AttributeSyntax attribute in attributes)
{
if (IsTemplateAttribute(attribute.Name))
{
continue;
}
newAttributes.Add(attribute);
}
if (newAttributes.Count == 0)
{
continue;
}
newLists.Add(list.WithAttributes(SyntaxFactory.SeparatedList(newAttributes)));
}
return typeDeclaration.WithAttributeLists(SyntaxFactory.List(newLists));
}
private sealed class SelfIdentifierRewriter : CSharpSyntaxRewriter
{
private readonly string templateName;
private readonly string generatedName;
public SelfIdentifierRewriter(string templateName, string generatedName)
{
this.templateName = templateName;
this.generatedName = generatedName;
}
public override SyntaxToken VisitToken(SyntaxToken token)
{
if (token.IsKind(SyntaxKind.IdentifierToken) && string.Equals(token.ValueText, templateName, StringComparison.Ordinal))
{
return SyntaxFactory.Identifier(token.LeadingTrivia, generatedName, token.TrailingTrivia);
}
return base.VisitToken(token);
}
}
private static bool IsTemplateAttribute(NameSyntax attributeName)
{
string text = attributeName.ToString();
return text.EndsWith("DeviceDependentTemplate", StringComparison.Ordinal)
|| text.EndsWith("DeviceDependentTemplateAttribute", StringComparison.Ordinal)
|| text.EndsWith("EnumDependentTemplate", StringComparison.Ordinal)
|| text.EndsWith("EnumDependentTemplateAttribute", StringComparison.Ordinal)
|| text.EndsWith("NameSuffix", StringComparison.Ordinal)
|| text.EndsWith("NameSuffixAttribute", StringComparison.Ordinal);
}
private static CompilationUnitSyntax BuildGeneratedFile(
SyntaxList<ExternAliasDirectiveSyntax> externs,
SyntaxList<UsingDirectiveSyntax> usings,
string containingNamespace,
TypeDeclarationSyntax typeDeclaration)
{
MemberDeclarationSyntax member;
if (string.IsNullOrEmpty(containingNamespace))
{
member = typeDeclaration;
}
else
{
member = SyntaxFactory
.FileScopedNamespaceDeclaration(SyntaxFactory.ParseName(containingNamespace))
.WithMembers(SyntaxFactory.SingletonList<MemberDeclarationSyntax>(typeDeclaration));
}
return SyntaxFactory
.CompilationUnit()
.WithExterns(externs)
.WithUsings(usings)
.WithMembers(SyntaxFactory.SingletonList(member));
}
private sealed class TemplateInfo
{
private TemplateInfo(
INamedTypeSymbol templateType,
ImmutableArray<EnumTemplateInfo> enumAttributes,
DeviceTemplateInfo? deviceAttribute,
string nameSuffix,
ImmutableArray<Diagnostic> diagnostics)
{
TemplateType = templateType;
EnumAttributes = enumAttributes;
DeviceAttribute = deviceAttribute;
NameSuffix = nameSuffix;
Diagnostics = diagnostics;
}
public INamedTypeSymbol TemplateType { get; }
public ImmutableArray<EnumTemplateInfo> EnumAttributes { get; }
public DeviceTemplateInfo? DeviceAttribute { get; }
public string NameSuffix { get; }
public ImmutableArray<Diagnostic> Diagnostics { get; }
public bool Valid => Diagnostics.IsDefaultOrEmpty;
public bool HasAnyTemplateAttribute => EnumAttributes.Length > 0 || DeviceAttribute is not null;
public string Name => TemplateType.Name;
public string ContainingNamespace => TemplateType.ContainingNamespace?.IsGlobalNamespace == true
? string.Empty
: TemplateType.ContainingNamespace.ToDisplayString();
public SyntaxReference? DeclaringSyntaxReference => TemplateType.DeclaringSyntaxReferences.FirstOrDefault();
public IEnumerable<TemplateVariant> ExpandVariants()
{
var combinations = ImmutableArray.Create(new TemplateVariantBuilder());
foreach (EnumTemplateInfo enumInfo in EnumAttributes)
{
combinations = ExpandEnum(combinations, enumInfo);
}
bool hasEnumAttributes = EnumAttributes.Length > 0;
if (DeviceAttribute is not null)
{
combinations = ExpandDevice(combinations, DeviceAttribute.Value, hasEnumAttributes);
}
foreach (TemplateVariantBuilder builder in combinations)
{
yield return new TemplateVariant(builder.Symbols, builder.NameSuffix);
}
}
private static ImmutableArray<TemplateVariantBuilder> ExpandEnum(
ImmutableArray<TemplateVariantBuilder> current,
EnumTemplateInfo enumInfo)
{
var builder = ImmutableArray.CreateBuilder<TemplateVariantBuilder>(current.Length * enumInfo.Values.Length);
foreach (TemplateVariantBuilder existing in current)
{
foreach (string value in enumInfo.Values)
{
builder.Add(existing.Append(
symbol: $"{enumInfo.EnumType.Name}_{value}",
namePart: $"For{value}{enumInfo.EnumType.Name}"));
}
}
return builder.ToImmutable();
}
private static ImmutableArray<TemplateVariantBuilder> ExpandDevice(
ImmutableArray<TemplateVariantBuilder> current,
DeviceTemplateInfo deviceInfo,
bool prefixWithFor)
{
var builder = ImmutableArray.CreateBuilder<TemplateVariantBuilder>(current.Length * deviceInfo.Values.Length);
foreach (TemplateVariantBuilder existing in current)
{
foreach (string value in deviceInfo.Values)
{
string namePart = prefixWithFor ? $"For{value}" : value;
builder.Add(existing.Append(
symbol: "DEVICE_" + value.ToUpperInvariant(),
namePart: namePart));
}
}
return builder.ToImmutable();
}
public static TemplateInfo Create(
INamedTypeSymbol templateType,
ImmutableArray<EnumTemplateInfo> enumAttributes,
DeviceTemplateInfo? deviceAttribute,
string? nameSuffix,
ImmutableArray<Diagnostic> diagnostics)
=> new(
templateType,
enumAttributes,
deviceAttribute,
nameSuffix ?? string.Empty,
diagnostics);
}
private readonly struct EnumTemplateInfo
{
public EnumTemplateInfo(INamedTypeSymbol enumType, ImmutableArray<string> values, Location attributeLocation)
{
EnumType = enumType;
Values = values;
AttributeLocation = attributeLocation;
}
public INamedTypeSymbol EnumType { get; }
public ImmutableArray<string> Values { get; }
public Location AttributeLocation { get; }
}
private readonly struct DeviceTemplateInfo
{
public DeviceTemplateInfo(INamedTypeSymbol enumType, ImmutableArray<string> values, Location attributeLocation)
{
EnumType = enumType;
Values = values;
AttributeLocation = attributeLocation;
}
public INamedTypeSymbol EnumType { get; }
public ImmutableArray<string> Values { get; }
public Location AttributeLocation { get; }
}
private readonly struct TemplateVariant
{
public TemplateVariant(ImmutableArray<string> preprocessorSymbols, string nameSuffix)
{
PreprocessorSymbols = preprocessorSymbols;
NameSuffix = nameSuffix;
}
public ImmutableArray<string> PreprocessorSymbols { get; }
public string NameSuffix { get; }
public string FileSuffix => NameSuffix;
public string CombinationDisplay => string.Join(", ", PreprocessorSymbols);
}
private sealed class TemplateVariantBuilder
{
public TemplateVariantBuilder()
{
Symbols = ImmutableArray<string>.Empty;
NameSuffix = string.Empty;
}
private TemplateVariantBuilder(ImmutableArray<string> symbols, string nameSuffix)
{
Symbols = symbols;
NameSuffix = nameSuffix;
}
public ImmutableArray<string> Symbols { get; }
public string NameSuffix { get; }
public TemplateVariantBuilder Append(string symbol, string namePart)
{
return new TemplateVariantBuilder(Symbols.Add(symbol), NameSuffix + namePart);
}
}
private static TemplateInfo? CollectTemplateInfo(INamedTypeSymbol templateSymbol, TypeDeclarationSyntax typeSyntax, CancellationToken cancellationToken)
{
cancellationToken.ThrowIfCancellationRequested();
ImmutableArray<AttributeData> attributes = templateSymbol.GetAttributes();
var enumAttributes = new List<EnumTemplateInfo>();
DeviceTemplateInfo? deviceAttribute = null;
string? nameSuffix = null;
var diagnostics = ImmutableArray.CreateBuilder<Diagnostic>();
AttributeData? nameSuffixAttribute = null;
AttributeData? deviceTemplateAttribute = null;
foreach (AttributeData attribute in attributes)
{
string? metadataName = attribute.AttributeClass?.ToDisplayString();
if (metadataName is null)
{
continue;
}
if (string.Equals(metadataName, EnumDependentTemplateAttributeMetadataName, StringComparison.Ordinal))
{
enumAttributes.AddRange(CreateEnumTemplateInfo(attribute, TemplateEnumTypeMustBeEnum, diagnostics));
}
else if (string.Equals(metadataName, DeviceDependentTemplateAttributeMetadataName, StringComparison.Ordinal))
{
if (deviceTemplateAttribute is not null)
{
diagnostics.Add(Diagnostic.Create(
DuplicateSingleUseAttribute,
attribute.ApplicationSyntaxReference?.GetSyntax(cancellationToken)?.GetLocation() ?? typeSyntax.GetLocation(),
DeviceDependentTemplateAttributeMetadataName,
templateSymbol.Name));
continue;
}
deviceTemplateAttribute = attribute;
}
else if (string.Equals(metadataName, NameSuffixAttributeMetadataName, StringComparison.Ordinal))
{
if (nameSuffixAttribute is not null)
{
diagnostics.Add(Diagnostic.Create(
DuplicateSingleUseAttribute,
attribute.ApplicationSyntaxReference?.GetSyntax(cancellationToken)?.GetLocation() ?? typeSyntax.GetLocation(),
NameSuffixAttributeMetadataName,
templateSymbol.Name));
continue;
}
nameSuffixAttribute = attribute;
}
}
if (deviceTemplateAttribute is not null)
{
var deviceInfo = CreateEnumTemplateInfo(deviceTemplateAttribute, TemplateEnumTypeMustBeEnum, diagnostics).FirstOrDefault();
if (deviceInfo.EnumType is not null)
{
deviceAttribute = new DeviceTemplateInfo(deviceInfo.EnumType, deviceInfo.Values, deviceInfo.AttributeLocation);
}
}
if (nameSuffixAttribute is not null)
{
nameSuffix = ExtractSuffix(nameSuffixAttribute);
}
if (!enumAttributes.Any() && deviceAttribute is null && nameSuffixAttribute is null)
{
return null;
}
ImmutableArray<EnumTemplateInfo> orderedEnums = enumAttributes
.OrderBy(static e => e.AttributeLocation.SourceSpan.Start)
.ToImmutableArray();
return TemplateInfo.Create(
templateSymbol,
orderedEnums,
deviceAttribute,
nameSuffix,
diagnostics.ToImmutable());
}
private static IEnumerable<EnumTemplateInfo> CreateEnumTemplateInfo(
AttributeData attribute,
DiagnosticDescriptor diagnosticDescriptor,
ImmutableArray<Diagnostic>.Builder diagnostics)
{
if (attribute.ConstructorArguments.Length < 1)
{
return Array.Empty<EnumTemplateInfo>();
}
if (attribute.ConstructorArguments[0].Value is not INamedTypeSymbol enumTypeSymbol)
{
return Array.Empty<EnumTemplateInfo>();
}
if (enumTypeSymbol.TypeKind != TypeKind.Enum)
{
Location location = attribute.ApplicationSyntaxReference?.GetSyntax().GetLocation() ?? Location.None;
diagnostics.Add(Diagnostic.Create(diagnosticDescriptor, location, attribute.AttributeClass?.Name ?? "TemplateAttribute", enumTypeSymbol.ToDisplayString()));
return Array.Empty<EnumTemplateInfo>();
}
ImmutableArray<string> enumValues = enumTypeSymbol
.GetMembers()
.OfType<IFieldSymbol>()
.Where(static f => !f.IsImplicitlyDeclared && f.HasConstantValue)
.Select(static f => f.Name)
.ToImmutableArray();
Location attributeLocation = attribute.ApplicationSyntaxReference?.GetSyntax().GetLocation() ?? Location.None;
return new[] { new EnumTemplateInfo(enumTypeSymbol, enumValues, attributeLocation) };
}
private static string? ExtractSuffix(AttributeData attributeData)
{
if (attributeData.ConstructorArguments.Length > 0)
{
return attributeData.ConstructorArguments[0].Value as string;
}
foreach (KeyValuePair<string, TypedConstant> argument in attributeData.NamedArguments)
{
if (string.Equals(argument.Key, "suffix", StringComparison.OrdinalIgnoreCase))
{
return argument.Value.Value as string;
}
}
return null;
}
private readonly struct GeneratorOptions
{
private const string GeneratedDirectoryName = "generated";
private const string GeneratedRootOptionName = "build_property.DeviceDependentGenerator_OutputRoot";
private readonly AnalyzerConfigOptions globalOptions;
public GeneratorOptions(AnalyzerConfigOptions globalOptions)
{
this.globalOptions = globalOptions;
}
public string BuildHintName(string containingNamespace, string generatedFileName)
{
string root = GetGeneratedRoot();
string trimmedRoot = string.IsNullOrWhiteSpace(root)
? GeneratedDirectoryName
: root.Replace('\\', '/').Trim('/').Trim();
if (string.IsNullOrWhiteSpace(trimmedRoot))
{
trimmedRoot = GeneratedDirectoryName;
}
string namespacePath = string.IsNullOrWhiteSpace(containingNamespace)
? string.Empty
: containingNamespace.Replace('.', '/').Trim('/');
if (namespacePath.Length == 0)
{
return trimmedRoot + "/" + generatedFileName;
}
return trimmedRoot + "/" + namespacePath + "/" + generatedFileName;
}
private string GetGeneratedRoot()
{
if (globalOptions.TryGetValue(GeneratedRootOptionName, out string? configuredRoot)
&& !string.IsNullOrWhiteSpace(configuredRoot))
{
return configuredRoot;
}
return GeneratedDirectoryName;
}
}
private sealed class ConditionalDirectiveAndDisabledTextStripper : CSharpSyntaxRewriter
{
public override SyntaxToken VisitToken(SyntaxToken token)
=> token.WithLeadingTrivia(Filter(token.LeadingTrivia)).WithTrailingTrivia(Filter(token.TrailingTrivia));
private static SyntaxTriviaList Filter(SyntaxTriviaList list)
{
var builder = ImmutableArray.CreateBuilder<SyntaxTrivia>(list.Count);
foreach (SyntaxTrivia trivia in list)
{
SyntaxKind kind = trivia.Kind();
if (kind is SyntaxKind.DisabledTextTrivia
or SyntaxKind.IfDirectiveTrivia
or SyntaxKind.ElifDirectiveTrivia
or SyntaxKind.ElseDirectiveTrivia
or SyntaxKind.EndIfDirectiveTrivia)
{
continue;
}
builder.Add(trivia);
}
return SyntaxFactory.TriviaList(builder.ToImmutable());
}
}
}
@@ -0,0 +1,17 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>netstandard2.0;net8.0</TargetFrameworks>
<LangVersion>latest</LangVersion>
<Nullable>enable</Nullable>
<ImplicitUsings>disable</ImplicitUsings>
<IsRoslynAnalyzer>true</IsRoslynAnalyzer>
<EnforceExtendedAnalyzerRules>true</EnforceExtendedAnalyzerRules>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Microsoft.CodeAnalysis.Analyzers" Version="3.11.0" PrivateAssets="all" />
<PackageReference Include="Microsoft.CodeAnalysis.CSharp" Version="4.14.0" PrivateAssets="all" />
</ItemGroup>
</Project>
@@ -0,0 +1,238 @@
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
using ILGPU;
using Open.Numeric.Primes;
namespace EvenPerfectBitScanner.Benchmarks;
[ShortRunJob(RuntimeMoniker.Net80)]
[MemoryDiagnoser]
public class AtomicBenchmarks
{
private ulong[] _candidates = [];
private int[] _candidatesInt = [];
[ParamsSource(nameof(GetBenchmarkCases))]
public PrimeBenchmarkCase BenchmarkCase { get; set; }
[GlobalSetup]
public void GlobalSetup()
{
_candidates = BenchmarkCase.Candidates;
_candidatesInt = [.. _candidates.Select(x => (int)x)];
}
[Benchmark]
public int AtomicAddInt()
{
int[] values = _candidatesInt;
int primeCount;
int oldValue = 0;
for (int i = 0; i < values.Length; i++)
{
primeCount = values[i];
oldValue ^= Atomic.Add(ref primeCount, 1);
}
return oldValue;
}
[Benchmark(Baseline = true)]
public int InterlockedIncInt()
{
int[] values = _candidatesInt;
int primeCount;
int oldValue = 0;
for (int i = 0; i < values.Length; i++)
{
primeCount = values[i];
oldValue ^= Interlocked.Increment(ref primeCount);
}
return oldValue;
}
[Benchmark]
public ulong AtomicAddUlong()
{
ulong[] values = _candidates;
ulong primeCount;
ulong oldValue = 0UL;
for (int i = 0; i < values.Length; i++)
{
primeCount = values[i];
oldValue ^= Atomic.Add(ref primeCount, 1);
}
return oldValue;
}
[Benchmark]
public ulong InterlockedIncUlong()
{
ulong[] values = _candidates;
ulong primeCount;
ulong oldValue = 0UL;
for (int i = 0; i < values.Length; i++)
{
primeCount = values[i];
oldValue ^= Interlocked.Increment(ref primeCount);
}
return oldValue;
}
public static IEnumerable<PrimeBenchmarkCase> GetBenchmarkCases()
{
yield return PrimeBenchmarkCase.FromRange(
"≤100",
"Admissible odd values ≤ 100 (k ≤ 5, not divisible by 5)",
3UL,
100UL,
int.MaxValue);
yield return PrimeBenchmarkCase.FromRange(
"≤4_000_000",
"Sampled admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥16_000_000",
"Sampled admissible odd values ≥ 16,000,000 (k ≤ 5, not divisible by 5)",
16_000_001UL,
16_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥32_000_000",
"Sampled admissible odd values ≥ 32,000,000 (k ≤ 5, not divisible by 5)",
32_000_001UL,
32_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥64_000_000",
"Sampled admissible odd values ≥ 64,000,000 (k ≤ 5, not divisible by 5)",
64_000_001UL,
64_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥100_000_000",
"Sampled admissible odd values ≥ 100,000,000 (k ≤ 5, not divisible by 5)",
100_000_001UL,
100_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥138_000_000",
"Sampled admissible odd values ≥ 138,000,000 (k ≤ 5, not divisible by 5)",
138_000_001UL,
138_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥276_000_000",
"Sampled admissible odd values ≥ 276,000,000 (k ≤ 5, not divisible by 5)",
276_000_001UL,
276_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥552_000_000",
"Sampled admissible odd values ≥ 552,000,000 (k ≤ 5, not divisible by 5)",
552_000_001UL,
552_500_000UL,
4_096);
}
public readonly record struct PrimeBenchmarkCase(string Name, string Description, ulong[] Candidates)
{
public override string ToString()
{
return Name;
}
public static PrimeBenchmarkCase FromRange(
string name,
string description,
ulong startInclusive,
ulong endInclusive,
int maxCount)
{
ulong[] values = CollectRange(startInclusive, endInclusive, maxCount);
return new PrimeBenchmarkCase(name, description, values);
}
}
private static ulong[] CollectRange(ulong startInclusive, ulong endInclusive, int maxCount)
{
maxCount = maxCount < 0 ? 0 : maxCount;
if (maxCount == 0)
{
return [];
}
int estimatedLength = (int)Math.Min((ulong)maxCount, endInclusive - startInclusive + 1UL);
ulong[] buffer = new ulong[estimatedLength];
int count = 0;
for (ulong value = startInclusive; value <= endInclusive && count < maxCount; value++)
{
if (!IsAdmissibleMersenneDivisorCandidate(value))
{
continue;
}
if (count == buffer.Length)
{
Array.Resize(ref buffer, buffer.Length * 2);
}
buffer[count++] = value;
}
if (count == buffer.Length)
{
return buffer;
}
ulong[] result = new ulong[count];
Array.Copy(buffer, result, count);
return result;
}
private static bool IsAdmissibleMersenneDivisorCandidate(ulong value)
{
if ((value & 1UL) == 0UL || value % 5UL == 0UL || value <= 1UL)
{
return false;
}
ulong qMinusOne = value - 1UL;
for (ulong k = 1; k <= 5; k++)
{
ulong denominator = k << 1;
if (qMinusOne % denominator != 0UL)
{
continue;
}
ulong p = qMinusOne / denominator;
if (p < 2UL)
{
continue;
}
if (Prime.Numbers.IsPrime(p))
{
return true;
}
}
return false;
}
}
@@ -0,0 +1,321 @@
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
using ILGPU;
using Open.Numeric.Primes;
using PerfectNumbers.Core;
namespace EvenPerfectBitScanner.Benchmarks;
[ShortRunJob(RuntimeMoniker.Net80)]
[MemoryDiagnoser]
public class BTreeBenchmarks
{
private ulong[] _candidates = [];
private int[] _candidatesInt = [];
[ParamsSource(nameof(GetBenchmarkCases))]
public PrimeBenchmarkCase BenchmarkCase { get; set; }
[GlobalSetup]
public void GlobalSetup()
{
_candidates = BenchmarkCase.Candidates;
_candidatesInt = [.. _candidates.Select(x => (int)x)];
}
/// <summary>
/// Adds all candidate ints into the keyed B-tree (key = value), using tiny/inline and mid-size fast paths; count comes from the benchmark case or defaults to 4,096 when unspecified.
/// </summary>
[Benchmark]
public BTree<int, int> BTreeAddInt()
{
int[] values = _candidatesInt;
int prime;
BTree<int, int> result = new();
for (int i = 0; i < values.Length; i++)
{
prime = values[i];
result.Add(prime, prime);
}
return result;
}
/// <summary>
/// Adds all candidate ints into a dictionary keyed by their hash code (baseline); count comes from the benchmark case or defaults to 4,096 when unspecified.
/// </summary>
[Benchmark(Baseline = true)]
public Dictionary<int, int> DictionaryAddInt()
{
int[] values = _candidatesInt;
int prime;
Dictionary<int, int> result = [];
for (int i = 0; i < values.Length; i++)
{
prime = values[i];
result.Add(prime.GetHashCode(), prime);
}
return result;
}
/// <summary>
/// Adds all candidate ulongs into the keyed B-tree (key = value), using tiny/inline and mid-size fast paths; count comes from the benchmark case or defaults to 4,096 when unspecified.
/// </summary>
[Benchmark]
public BTree<ulong, ulong> BTreeAddUlong()
{
ulong[] values = _candidates;
ulong prime;
BTree<ulong, ulong> result = new();
for (int i = 0; i < values.Length; i++)
{
prime = values[i];
result.Add(prime, prime);
}
return result;
}
/// <summary>
/// Adds all candidate ulongs into a dictionary keyed by their hash code; count comes from the benchmark case or defaults to 4,096 when unspecified.
/// </summary>
[Benchmark]
public Dictionary<int, ulong> DictionaryAddUlong()
{
ulong[] values = _candidates;
ulong prime;
Dictionary<int, ulong> result = [];
for (int i = 0; i < values.Length; i++)
{
prime = values[i];
result.Add(prime.GetHashCode(), prime);
}
return result;
}
public static IEnumerable<PrimeBenchmarkCase> GetBenchmarkCases()
{
yield return PrimeBenchmarkCase.FromRange(
"≤100",
"Admissible odd values ≤ 100 (k ≤ 5, not divisible by 5)",
3UL,
100UL,
int.MaxValue);
yield return PrimeBenchmarkCase.FromRange(
"4x ≤4_000_000",
"4x sample admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
4);
yield return PrimeBenchmarkCase.FromRange(
"12x ≤4_000_000",
"12x sample admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
12);
yield return PrimeBenchmarkCase.FromRange(
"16x ≤4_000_000",
"16x sample admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
16);
yield return PrimeBenchmarkCase.FromRange(
"32x ≤4_000_000",
"16x sample admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
32);
yield return PrimeBenchmarkCase.FromRange(
"64x ≤4_000_000",
"16x sample admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
64);
yield return PrimeBenchmarkCase.FromRange(
"128x ≤4_000_000",
"128x sample admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
128);
yield return PrimeBenchmarkCase.FromRange(
"256x ≤4_000_000",
"256x sample admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
256);
yield return PrimeBenchmarkCase.FromRange(
"512x ≤4_000_000",
"512x sample admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
512);
yield return PrimeBenchmarkCase.FromRange(
"1024x ≤4_000_000",
"1024x sample admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
1024);
yield return PrimeBenchmarkCase.FromRange(
"2048x ≤4_000_000",
"2048x sample admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
2048);
yield return PrimeBenchmarkCase.FromRange(
"≤4_000_000",
"Sampled admissible odd values ≤ 4,000,000 (k ≤ 5, not divisible by 5)",
3UL,
4_000_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥16_000_000",
"Sampled admissible odd values ≥ 16,000,000 (k ≤ 5, not divisible by 5)",
16_000_001UL,
16_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥32_000_000",
"Sampled admissible odd values ≥ 32,000,000 (k ≤ 5, not divisible by 5)",
32_000_001UL,
32_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥64_000_000",
"Sampled admissible odd values ≥ 64,000,000 (k ≤ 5, not divisible by 5)",
64_000_001UL,
64_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥100_000_000",
"Sampled admissible odd values ≥ 100,000,000 (k ≤ 5, not divisible by 5)",
100_000_001UL,
100_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥138_000_000",
"Sampled admissible odd values ≥ 138,000,000 (k ≤ 5, not divisible by 5)",
138_000_001UL,
138_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥276_000_000",
"Sampled admissible odd values ≥ 276,000,000 (k ≤ 5, not divisible by 5)",
276_000_001UL,
276_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥552_000_000",
"Sampled admissible odd values ≥ 552,000,000 (k ≤ 5, not divisible by 5)",
552_000_001UL,
552_500_000UL,
4_096);
}
public readonly record struct PrimeBenchmarkCase(string Name, string Description, ulong[] Candidates)
{
public override string ToString()
{
return Name;
}
public static PrimeBenchmarkCase FromRange(
string name,
string description,
ulong startInclusive,
ulong endInclusive,
int maxCount)
{
ulong[] values = CollectRange(startInclusive, endInclusive, maxCount);
return new PrimeBenchmarkCase(name, description, values);
}
}
private static ulong[] CollectRange(ulong startInclusive, ulong endInclusive, int maxCount)
{
maxCount = maxCount < 0 ? 0 : maxCount;
if (maxCount == 0)
{
return [];
}
int estimatedLength = (int)Math.Min((ulong)maxCount, endInclusive - startInclusive + 1UL);
ulong[] buffer = new ulong[estimatedLength];
int count = 0;
for (ulong value = startInclusive; value <= endInclusive && count < maxCount; value++)
{
if (!IsAdmissibleMersenneDivisorCandidate(value))
{
continue;
}
if (count == buffer.Length)
{
Array.Resize(ref buffer, buffer.Length * 2);
}
buffer[count++] = value;
}
if (count == buffer.Length)
{
return buffer;
}
ulong[] result = new ulong[count];
Array.Copy(buffer, result, count);
return result;
}
private static bool IsAdmissibleMersenneDivisorCandidate(ulong value)
{
if ((value & 1UL) == 0UL || value % 5UL == 0UL || value <= 1UL)
{
return false;
}
ulong qMinusOne = value - 1UL;
for (ulong k = 1; k <= 5; k++)
{
ulong denominator = k << 1;
if (qMinusOne % denominator != 0UL)
{
continue;
}
ulong p = qMinusOne / denominator;
if (p < 2UL)
{
continue;
}
if (Prime.Numbers.IsPrime(p))
{
return true;
}
}
return false;
}
}
@@ -1,4 +1,3 @@
using System;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
@@ -32,7 +32,7 @@ public class GpuUInt128Montgomery64Benchmarks
[Benchmark(Baseline = true)]
public ulong ExtensionMontgomeryMultiply()
{
return Input.Left.MontgomeryMultiply(Input.Right, Input.Modulus, Input.NPrime);
return Input.Left.MontgomeryMultiplyCpu(Input.Right, Input.Modulus, Input.NPrime);
}
/// <summary>
@@ -1,6 +1,5 @@
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using PerfectNumbers.Core;
using BenchmarkDotNet.Jobs;
namespace EvenPerfectBitScanner.Benchmarks;
@@ -1,5 +1,3 @@
using System;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
@@ -1,5 +1,3 @@
using System;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using PerfectNumbers.Core;
@@ -1,5 +1,3 @@
using System;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
@@ -1,5 +1,3 @@
using System;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
@@ -1,5 +1,3 @@
using System;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
@@ -1,5 +1,3 @@
using System;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
@@ -1,5 +1,3 @@
using System;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
@@ -1,5 +1,3 @@
using System;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
@@ -1,5 +1,3 @@
using System;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
@@ -1,5 +1,3 @@
using System;
namespace EvenPerfectBitScanner.Benchmarks;
public enum ModNumericType
@@ -1,4 +1,3 @@
using System;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
@@ -1,12 +1,8 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
using ILGPU;
using ILGPU.Runtime;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu;
namespace EvenPerfectBitScanner.Benchmarks;
File diff suppressed because it is too large. Load diff
@@ -2,6 +2,7 @@ using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
using System.Numerics;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu.Accelerators;
namespace EvenPerfectBitScanner.Benchmarks;
@@ -9,43 +10,46 @@ namespace EvenPerfectBitScanner.Benchmarks;
[SimpleJob(RuntimeMoniker.Net80, launchCount: 1, warmupCount: 1, iterationCount: 5)]
public class Pow2MontgomeryModBenchmarks
{
private const int SampleCount = 256;
private const int SampleCount = 256;
private readonly MontgomeryDivisorData[] _smallDivisors = new MontgomeryDivisorData[SampleCount];
private readonly MontgomeryDivisorData[] _largeDivisors = new MontgomeryDivisorData[SampleCount];
private readonly ulong[] _smallExponents = new ulong[SampleCount];
private readonly ulong[] _largeExponents = new ulong[SampleCount];
private readonly ulong[] _smallCycles = new ulong[SampleCount];
private readonly ulong[] _largeCycles = new ulong[SampleCount];
private readonly MontgomeryDivisorData[] _smallDivisors = new MontgomeryDivisorData[SampleCount];
private readonly MontgomeryDivisorData[] _largeDivisors = new MontgomeryDivisorData[SampleCount];
private readonly ulong[] _smallExponents = new ulong[SampleCount];
private readonly ulong[] _largeExponents = new ulong[SampleCount];
private readonly ulong[] _smallCycles = new ulong[SampleCount];
private readonly ulong[] _largeCycles = new ulong[SampleCount];
private readonly Random _random = new(13);
private readonly Random _random = new(13);
public enum InputScale
{
Small,
Large
}
public enum InputScale
{
Small,
Large
}
[ParamsAllValues]
public InputScale Scale { get; set; }
[ParamsAllValues]
public InputScale Scale { get; set; }
[GlobalSetup]
public void Setup()
{
for (int i = 0; i < SampleCount; i++)
{
ulong smallModulus = NextSmallOddModulus();
_smallDivisors[i] = CreateMontgomeryDivisorData(smallModulus);
_smallExponents[i] = NextSmallExponent();
_smallCycles[i] = MersenneDivisorCycles.CalculateCycleLength(smallModulus, MontgomeryDivisorData.FromModulus(smallModulus));
[GlobalSetup]
public void Setup()
{
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
for (int i = 0; i < SampleCount; i++)
{
ulong smallModulus = NextSmallOddModulus();
_smallDivisors[i] = CreateMontgomeryDivisorData(smallModulus);
_smallExponents[i] = NextSmallExponent();
_smallCycles[i] = MersenneDivisorCyclesGpu.CalculateCycleLength(gpu, smallModulus, MontgomeryDivisorData.FromModulus(smallModulus));
Console.WriteLine($"Calculating large cycle {i + 1} with heuristics");
(ulong largeModulus, ulong largeCycle) = NextLargeModulusAndCycle();
Console.WriteLine($"Calculating large cycle {i + 1} with heuristics");
(ulong largeModulus, ulong largeCycle) = NextLargeModulusAndCycle();
_largeDivisors[i] = CreateMontgomeryDivisorData(largeModulus);
_largeExponents[i] = NextLargeExponent();
_largeCycles[i] = largeCycle;
}
}
_largeExponents[i] = NextLargeExponent();
_largeCycles[i] = largeCycle;
}
PrimeOrderCalculatorAccelerator.Return(gpu);
}
/// <summary>
/// Baseline right-to-left Montgomery ladder; measured 36.36 μs on the small sample set and 117.32 μs on the large one.
@@ -58,461 +62,466 @@ public class Pow2MontgomeryModBenchmarks
for (int i = 0; i < SampleCount; i++)
{
checksum ^= exponents[i].Pow2MontgomeryModWindowedCpu(divisors[i], keepMontgomery: false);
checksum ^= exponents[i].Pow2MontgomeryModWindowedConvertToStandardCpu(divisors[i]);
}
return checksum;
}
/// <summary>
/// Baseline right-to-left Montgomery ladder; measured ??.?? μs on the small sample set and ??.?? μs on the large one.
/// <summary>
/// Baseline right-to-left Montgomery ladder; measured ??.?? μs on the small sample set and ??.?? μs on the large one.
///
/// This benchmark failed running, hanging up early before reaching workload testing.
/// </summary>
// [Benchmark]
public ulong BaselineGpu()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
/// </summary>
// [Benchmark]
public ulong BaselineGpu()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
for (int i = 0; i < SampleCount; i++)
{
checksum ^= exponents[i].Pow2MontgomeryModWindowedGpu(divisors[i], keepMontgomery: false);
}
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
for (int i = 0; i < SampleCount; i++)
{
checksum ^= exponents[i].Pow2MontgomeryModWindowedConvertGpu(gpu, divisors[i]);
}
return checksum;
}
PrimeOrderCalculatorAccelerator.Return(gpu);
return checksum;
}
/// <summary>
/// Uses a known divisor cycle to fold the exponent first, dropping runtimes to 26.04 μs on small inputs (0.72× baseline) and 9.53 μs on large inputs (0.08× baseline).
/// </summary>
[Benchmark]
public ulong BaselineWithKnownCycleCpu()
{
GetData(out var exponents, out var divisors, out var cycles);
ulong checksum = 0UL;
/// <summary>
/// Uses a known divisor cycle to fold the exponent first, dropping runtimes to 26.04 μs on small inputs (0.72× baseline) and 9.53 μs on large inputs (0.08× baseline).
/// </summary>
[Benchmark]
public ulong BaselineWithKnownCycleCpu()
{
GetData(out var exponents, out var divisors, out var cycles);
ulong checksum = 0UL;
for (int i = 0; i < SampleCount; i++)
{
checksum ^= exponents[i].Pow2MontgomeryModWithCycleCpu(cycles[i], divisors[i]);
}
for (int i = 0; i < SampleCount; i++)
{
checksum ^= exponents[i].Pow2MontgomeryModWithCycleConvertToStandardCpu(cycles[i], divisors[i]);
}
return checksum;
}
return checksum;
}
/// <summary>
/// Uses a known divisor cycle to fold the exponent first, dropping runtimes to 26.04 μs on small inputs (0.72× baseline) and 9.53 μs on large inputs (0.08× baseline).
/// </summary>
[Benchmark]
public ulong BaselineWithKnownCycleGpu()
{
GetData(out var exponents, out var divisors, out var cycles);
ulong checksum = 0UL;
/// <summary>
/// Uses a known divisor cycle to fold the exponent first, dropping runtimes to 26.04 μs on small inputs (0.72× baseline) and 9.53 μs on large inputs (0.08× baseline).
/// </summary>
[Benchmark]
public ulong BaselineWithKnownCycleGpu()
{
GetData(out var exponents, out var divisors, out var cycles);
ulong checksum = 0UL;
for (int i = 0; i < SampleCount; i++)
{
checksum ^= exponents[i].Pow2MontgomeryModWithCycleGpu(cycles[i], divisors[i]);
}
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
for (int i = 0; i < SampleCount; i++)
{
checksum ^= exponents[i].Pow2MontgomeryModWithCycleGpu(gpu, cycles[i], divisors[i]);
}
return checksum;
}
PrimeOrderCalculatorAccelerator.Return(gpu);
return checksum;
}
/// <summary>
/// Left-to-right Montgomery scan that trails the baseline: 39.11 μs on small inputs (1.08×) and 126.38 μs on large ones (1.08×).
/// </summary>
[Benchmark]
public ulong LeftToRight()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
/// <summary>
/// Left-to-right Montgomery scan that trails the baseline: 39.11 μs on small inputs (1.08×) and 126.38 μs on large ones (1.08×).
/// </summary>
[Benchmark]
public ulong LeftToRight()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2MontgomeryModLeftToRight(exponents[i], divisors[i]);
}
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2MontgomeryModLeftToRight(exponents[i], divisors[i]);
}
return checksum;
}
return checksum;
}
/// <summary>
/// Processes four exponent bits per loop, finishing at 38.74 μs on small cases (1.07× baseline) and 120.11 μs on large ones (1.02×).
/// </summary>
[Benchmark]
public ulong Batched4()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
/// <summary>
/// Processes four exponent bits per loop, finishing at 38.74 μs on small cases (1.07× baseline) and 120.11 μs on large ones (1.02×).
/// </summary>
[Benchmark]
public ulong Batched4()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2MontgomeryModBatched4(exponents[i], divisors[i]);
}
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2MontgomeryModBatched4(exponents[i], divisors[i]);
}
return checksum;
}
return checksum;
}
/// <summary>
/// Windowed Montgomery ladder (width 5) that lags behind the baseline at 52.82 μs on small samples (1.45×) and 124.13 μs on large samples (1.06×).
/// </summary>
[Benchmark]
public ulong SlidingWindow()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
/// <summary>
/// Windowed Montgomery ladder (width 5) that lags behind the baseline at 52.82 μs on small samples (1.45×) and 124.13 μs on large samples (1.06×).
/// </summary>
[Benchmark]
public ulong SlidingWindow()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2MontgomeryModSlidingWindow(exponents[i], divisors[i]);
}
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2MontgomeryModSlidingWindow(exponents[i], divisors[i]);
}
return checksum;
}
return checksum;
}
/// <summary>
/// Classic binary ladder without Montgomery reduction; runs 24.75 μs on small inputs (0.68× baseline) but collapses to 295.29 μs on large ones (2.52×).
/// </summary>
[Benchmark]
public ulong BinaryMod()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
/// <summary>
/// Classic binary ladder without Montgomery reduction; runs 24.75 μs on small inputs (0.68× baseline) but collapses to 295.29 μs on large ones (2.52×).
/// </summary>
[Benchmark]
public ulong BinaryMod()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2ModBinary(exponents[i], divisors[i].Modulus);
}
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2ModBinary(exponents[i], divisors[i].Modulus);
}
return checksum;
}
return checksum;
}
/// <summary>
/// Precomputes all squarings once; 30.18 μs on small inputs (0.83× baseline) but 289.80 μs on large ones (2.47×).
/// </summary>
[Benchmark]
public ulong PrecomputedTableMod()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
/// <summary>
/// Precomputes all squarings once; 30.18 μs on small inputs (0.83× baseline) but 289.80 μs on large ones (2.47×).
/// </summary>
[Benchmark]
public ulong PrecomputedTableMod()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2ModPrecomputedTable(exponents[i], divisors[i].Modulus);
}
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2ModPrecomputedTable(exponents[i], divisors[i].Modulus);
}
return checksum;
}
return checksum;
}
/// <summary>
/// Relies on <see cref="BigInteger.ModPow"/>; fastest on small inputs at 17.21 μs (0.47× baseline) but slowest on large ones at 562.78 μs (4.80×).
/// </summary>
[Benchmark]
public ulong BigIntegerMod()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
/// <summary>
/// Relies on <see cref="BigInteger.ModPow"/>; fastest on small inputs at 17.21 μs (0.47× baseline) but slowest on large ones at 562.78 μs (4.80×).
/// </summary>
[Benchmark]
public ulong BigIntegerMod()
{
GetData(out var exponents, out var divisors, out _);
ulong checksum = 0UL;
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2ModBigInteger(exponents[i], divisors[i].Modulus);
}
for (int i = 0; i < SampleCount; i++)
{
checksum ^= Pow2ModBigInteger(exponents[i], divisors[i].Modulus);
}
return checksum;
}
return checksum;
}
private void GetData(out ulong[] exponents, out MontgomeryDivisorData[] divisors, out ulong[] cycles)
{
if (Scale == InputScale.Small)
{
exponents = _smallExponents;
divisors = _smallDivisors;
cycles = _smallCycles;
}
else
{
exponents = _largeExponents;
divisors = _largeDivisors;
cycles = _largeCycles;
}
}
private void GetData(out ulong[] exponents, out MontgomeryDivisorData[] divisors, out ulong[] cycles)
{
if (Scale == InputScale.Small)
{
exponents = _smallExponents;
divisors = _smallDivisors;
cycles = _smallCycles;
}
else
{
exponents = _largeExponents;
divisors = _largeDivisors;
cycles = _largeCycles;
}
}
private ulong NextSmallExponent() => (ulong)_random.NextInt64(1L, 1_000_000L);
private ulong NextSmallExponent() => (ulong)_random.NextInt64(1L, 1_000_000L);
private ulong NextLargeExponent() => (ulong)_random.NextInt64(1L << 60, long.MaxValue);
private ulong NextLargeExponent() => (ulong)_random.NextInt64(1L << 60, long.MaxValue);
private ulong NextSmallOddModulus()
{
ulong value = (ulong)_random.NextInt64(3L, 1_000_000L);
return value | 1UL;
}
private ulong NextSmallOddModulus()
{
ulong value = (ulong)_random.NextInt64(3L, 1_000_000L);
return value | 1UL;
}
private (ulong modulus, ulong cycleLength) NextLargeModulusAndCycle()
{
int bitLength = _random.Next(48, 64);
ulong modulus = (1UL << bitLength) - 1UL;
return (modulus, (ulong)bitLength);
}
private (ulong modulus, ulong cycleLength) NextLargeModulusAndCycle()
{
int bitLength = _random.Next(48, 64);
ulong modulus = (1UL << bitLength) - 1UL;
return (modulus, (ulong)bitLength);
}
private static MontgomeryDivisorData CreateMontgomeryDivisorData(ulong modulus)
{
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return new MontgomeryDivisorData(modulus, 0UL, 0UL, 0UL, 0UL);
}
private static MontgomeryDivisorData CreateMontgomeryDivisorData(ulong modulus)
{
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return new MontgomeryDivisorData(modulus, 0UL, 0UL, 0UL, 0UL);
}
ulong nPrime = ComputeMontgomeryNPrime(modulus);
ulong montgomeryOne = ComputeMontgomeryResidue(1UL, modulus);
ulong montgomeryTwo = ComputeMontgomeryResidue(2UL, modulus);
ulong montgomeryTwoSquared = ULongExtensions.MontgomeryMultiply(montgomeryTwo, montgomeryTwo, modulus, nPrime);
ulong nPrime = ComputeMontgomeryNPrime(modulus);
ulong montgomeryOne = ComputeMontgomeryResidue(1UL, modulus);
ulong montgomeryTwo = ComputeMontgomeryResidue(2UL, modulus);
ulong montgomeryTwoSquared = ULongExtensions.MontgomeryMultiplyCpu(montgomeryTwo, montgomeryTwo, modulus, nPrime);
return new MontgomeryDivisorData(
modulus,
nPrime,
montgomeryOne,
montgomeryTwo,
montgomeryTwoSquared);
}
return new MontgomeryDivisorData(
modulus,
nPrime,
montgomeryOne,
montgomeryTwo,
montgomeryTwoSquared);
}
private static ulong ComputeMontgomeryResidue(ulong value, ulong modulus) => (ulong)((UInt128)value * (UInt128.One << 64) % modulus);
private static ulong ComputeMontgomeryResidue(ulong value, ulong modulus) => (ulong)((UInt128)value * (UInt128.One << 64) % modulus);
private static ulong ComputeMontgomeryNPrime(ulong modulus)
{
ulong inv = modulus;
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
return unchecked(0UL - inv);
}
private static ulong ComputeMontgomeryNPrime(ulong modulus)
{
ulong inv = modulus;
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
inv *= unchecked(2UL - modulus * inv);
return unchecked(0UL - inv);
}
private static ulong Pow2MontgomeryModLeftToRight(ulong exponent, in MontgomeryDivisorData divisor)
{
ulong modulus = divisor.Modulus;
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
private static ulong Pow2MontgomeryModLeftToRight(ulong exponent, in MontgomeryDivisorData divisor)
{
ulong modulus = divisor.Modulus;
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
ulong result = divisor.MontgomeryOne;
ulong baseVal = divisor.MontgomeryTwo;
ulong nPrime = divisor.NPrime;
ulong result = divisor.MontgomeryOne;
ulong baseVal = divisor.MontgomeryTwo;
ulong nPrime = divisor.NPrime;
if (exponent == 0UL)
{
return result.MontgomeryMultiply(1UL, modulus, nPrime);
}
if (exponent == 0UL)
{
return result.MontgomeryMultiplyCpu(1UL, modulus, nPrime);
}
int msbIndex = 63 - BitOperations.LeadingZeroCount(exponent);
int msbIndex = 63 - BitOperations.LeadingZeroCount(exponent);
for (int bitIndex = msbIndex; bitIndex >= 0; bitIndex--)
{
result = result.MontgomeryMultiply(result, modulus, nPrime);
for (int bitIndex = msbIndex; bitIndex >= 0; bitIndex--)
{
result = result.MontgomeryMultiplyCpu(result, modulus, nPrime);
if (((exponent >> bitIndex) & 1UL) != 0UL)
{
result = result.MontgomeryMultiply(baseVal, modulus, nPrime);
}
}
if (((exponent >> bitIndex) & 1UL) != 0UL)
{
result = result.MontgomeryMultiplyCpu(baseVal, modulus, nPrime);
}
}
return result.MontgomeryMultiply(1UL, modulus, nPrime);
}
return result.MontgomeryMultiplyCpu(1UL, modulus, nPrime);
}
private static ulong Pow2MontgomeryModBatched4(ulong exponent, in MontgomeryDivisorData divisor)
{
ulong modulus = divisor.Modulus;
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
private static ulong Pow2MontgomeryModBatched4(ulong exponent, in MontgomeryDivisorData divisor)
{
ulong modulus = divisor.Modulus;
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
ulong result = divisor.MontgomeryOne;
ulong baseVal = divisor.MontgomeryTwo;
ulong nPrime = divisor.NPrime;
ulong remainingExponent = exponent;
ulong result = divisor.MontgomeryOne;
ulong baseVal = divisor.MontgomeryTwo;
ulong nPrime = divisor.NPrime;
ulong remainingExponent = exponent;
while (remainingExponent != 0UL)
{
ulong nibble = remainingExponent & 0xFUL;
while (remainingExponent != 0UL)
{
ulong nibble = remainingExponent & 0xFUL;
ulong base0 = baseVal;
ulong base1 = base0.MontgomeryMultiply(base0, modulus, nPrime);
ulong base2 = base1.MontgomeryMultiply(base1, modulus, nPrime);
ulong base3 = base2.MontgomeryMultiply(base2, modulus, nPrime);
ulong base0 = baseVal;
ulong base1 = base0.MontgomeryMultiplyCpu(base0, modulus, nPrime);
ulong base2 = base1.MontgomeryMultiplyCpu(base1, modulus, nPrime);
ulong base3 = base2.MontgomeryMultiplyCpu(base2, modulus, nPrime);
if ((nibble & 1UL) != 0UL)
{
result = result.MontgomeryMultiply(base0, modulus, nPrime);
}
if ((nibble & 1UL) != 0UL)
{
result = result.MontgomeryMultiplyCpu(base0, modulus, nPrime);
}
if ((nibble & 2UL) != 0UL)
{
result = result.MontgomeryMultiply(base1, modulus, nPrime);
}
if ((nibble & 2UL) != 0UL)
{
result = result.MontgomeryMultiplyCpu(base1, modulus, nPrime);
}
if ((nibble & 4UL) != 0UL)
{
result = result.MontgomeryMultiply(base2, modulus, nPrime);
}
if ((nibble & 4UL) != 0UL)
{
result = result.MontgomeryMultiplyCpu(base2, modulus, nPrime);
}
if ((nibble & 8UL) != 0UL)
{
result = result.MontgomeryMultiply(base3, modulus, nPrime);
}
if ((nibble & 8UL) != 0UL)
{
result = result.MontgomeryMultiplyCpu(base3, modulus, nPrime);
}
baseVal = base3.MontgomeryMultiply(base3, modulus, nPrime);
remainingExponent >>= 4;
}
baseVal = base3.MontgomeryMultiplyCpu(base3, modulus, nPrime);
remainingExponent >>= 4;
}
return result.MontgomeryMultiply(1UL, modulus, nPrime);
}
return result.MontgomeryMultiplyCpu(1UL, modulus, nPrime);
}
// TODO: Update it with the latest implementations
private static ulong Pow2MontgomeryModSlidingWindow(ulong exponent, in MontgomeryDivisorData divisor)
{
private static ulong Pow2MontgomeryModSlidingWindow(ulong exponent, in MontgomeryDivisorData divisor)
{
ulong modulus = divisor.Modulus;
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
ulong nPrime = divisor.NPrime;
ulong result = divisor.MontgomeryOne;
ulong baseVal = divisor.MontgomeryTwo;
ulong nPrime = divisor.NPrime;
ulong result = divisor.MontgomeryOne;
ulong baseVal = divisor.MontgomeryTwo;
if (exponent == 0UL)
{
return result.MontgomeryMultiply(1UL, modulus, nPrime);
}
if (exponent == 0UL)
{
return result.MontgomeryMultiplyCpu(1UL, modulus, nPrime);
}
const int WindowSize = 5;
Span<ulong> oddPowers = stackalloc ulong[1 << (WindowSize - 1)];
oddPowers[0] = baseVal;
ulong baseSquared = baseVal.MontgomeryMultiply(baseVal, modulus, nPrime);
for (int i = 1; i < oddPowers.Length; i++)
{
oddPowers[i] = oddPowers[i - 1].MontgomeryMultiply(baseSquared, modulus, nPrime);
}
const int WindowSize = 5;
Span<ulong> oddPowers = stackalloc ulong[1 << (WindowSize - 1)];
oddPowers[0] = baseVal;
ulong baseSquared = baseVal.MontgomeryMultiplyCpu(baseVal, modulus, nPrime);
for (int i = 1; i < oddPowers.Length; i++)
{
oddPowers[i] = oddPowers[i - 1].MontgomeryMultiplyCpu(baseSquared, modulus, nPrime);
}
int bitIndex = 63 - BitOperations.LeadingZeroCount(exponent);
int bitIndex = 63 - BitOperations.LeadingZeroCount(exponent);
while (bitIndex >= 0)
{
if (((exponent >> bitIndex) & 1UL) == 0UL)
{
result = result.MontgomeryMultiply(result, modulus, nPrime);
bitIndex--;
continue;
}
while (bitIndex >= 0)
{
if (((exponent >> bitIndex) & 1UL) == 0UL)
{
result = result.MontgomeryMultiplyCpu(result, modulus, nPrime);
bitIndex--;
continue;
}
int windowStart = Math.Max(bitIndex - WindowSize + 1, 0);
ulong windowValue = (exponent >> windowStart) & ((1UL << (bitIndex - windowStart + 1)) - 1UL);
int windowStart = Math.Max(bitIndex - WindowSize + 1, 0);
ulong windowValue = (exponent >> windowStart) & ((1UL << (bitIndex - windowStart + 1)) - 1UL);
while ((windowValue & 1UL) == 0UL)
{
windowValue >>= 1;
windowStart++;
}
while ((windowValue & 1UL) == 0UL)
{
windowValue >>= 1;
windowStart++;
}
int squares = bitIndex - windowStart + 1;
for (int i = 0; i < squares; i++)
{
result = result.MontgomeryMultiply(result, modulus, nPrime);
}
int squares = bitIndex - windowStart + 1;
for (int i = 0; i < squares; i++)
{
result = result.MontgomeryMultiplyCpu(result, modulus, nPrime);
}
result = result.MontgomeryMultiply(oddPowers[(int)(windowValue >> 1)], modulus, nPrime);
bitIndex = windowStart - 1;
}
result = result.MontgomeryMultiplyCpu(oddPowers[(int)(windowValue >> 1)], modulus, nPrime);
bitIndex = windowStart - 1;
}
return result.MontgomeryMultiply(1UL, modulus, nPrime);
}
return result.MontgomeryMultiplyCpu(1UL, modulus, nPrime);
}
// TODO: Update it with the latest implementations, if it exists in production code. Otherwise just remove TODO
private static ulong Pow2ModBinary(ulong exponent, ulong modulus)
{
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
private static ulong Pow2ModBinary(ulong exponent, ulong modulus)
{
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
ulong result = 1UL % modulus;
ulong baseVal = 2UL % modulus;
ulong remainingExponent = exponent;
ulong result = 1UL % modulus;
ulong baseVal = 2UL % modulus;
ulong remainingExponent = exponent;
while (remainingExponent > 0UL)
{
if ((remainingExponent & 1UL) != 0UL)
{
result = MultiplyMod(result, baseVal, modulus);
}
while (remainingExponent > 0UL)
{
if ((remainingExponent & 1UL) != 0UL)
{
result = MultiplyMod(result, baseVal, modulus);
}
remainingExponent >>= 1;
if (remainingExponent == 0UL)
{
break;
}
remainingExponent >>= 1;
if (remainingExponent == 0UL)
{
break;
}
baseVal = MultiplyMod(baseVal, baseVal, modulus);
}
baseVal = MultiplyMod(baseVal, baseVal, modulus);
}
return result;
}
return result;
}
private static ulong Pow2ModPrecomputedTable(ulong exponent, ulong modulus)
{
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
private static ulong Pow2ModPrecomputedTable(ulong exponent, ulong modulus)
{
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
if (exponent == 0UL)
{
return 1UL % modulus;
}
if (exponent == 0UL)
{
return 1UL % modulus;
}
Span<ulong> powers = stackalloc ulong[64];
powers[0] = 2UL % modulus;
int highestBit = 63 - BitOperations.LeadingZeroCount(exponent);
Span<ulong> powers = stackalloc ulong[64];
powers[0] = 2UL % modulus;
int highestBit = 63 - BitOperations.LeadingZeroCount(exponent);
for (int index = 1; index <= highestBit; index++)
{
powers[index] = MultiplyMod(powers[index - 1], powers[index - 1], modulus);
}
for (int index = 1; index <= highestBit; index++)
{
powers[index] = MultiplyMod(powers[index - 1], powers[index - 1], modulus);
}
ulong result = 1UL % modulus;
ulong remainingExponent = exponent;
int bitIndex = 0;
ulong result = 1UL % modulus;
ulong remainingExponent = exponent;
int bitIndex = 0;
while (remainingExponent > 0UL)
{
if ((remainingExponent & 1UL) != 0UL)
{
result = MultiplyMod(result, powers[bitIndex], modulus);
}
while (remainingExponent > 0UL)
{
if ((remainingExponent & 1UL) != 0UL)
{
result = MultiplyMod(result, powers[bitIndex], modulus);
}
remainingExponent >>= 1;
bitIndex++;
}
remainingExponent >>= 1;
bitIndex++;
}
return result;
}
return result;
}
private static ulong Pow2ModBigInteger(ulong exponent, ulong modulus)
{
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
private static ulong Pow2ModBigInteger(ulong exponent, ulong modulus)
{
if (modulus <= 1UL || (modulus & 1UL) == 0UL)
{
return 0UL;
}
BigInteger mod = modulus;
BigInteger result = BigInteger.ModPow(2, exponent, mod);
return (ulong)result;
}
BigInteger mod = modulus;
BigInteger result = BigInteger.ModPow(2, exponent, mod);
return (ulong)result;
}
private static ulong MultiplyMod(ulong x, ulong y, ulong modulus)
{
UInt128 product = (UInt128)x * y;
return (ulong)(product % modulus);
}
private static ulong MultiplyMod(ulong x, ulong y, ulong modulus)
{
UInt128 product = (UInt128)x * y;
return (ulong)(product % modulus);
}
}
@@ -1,5 +1,5 @@
using System;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu.Accelerators;
namespace EvenPerfectBitScanner.Benchmarks;
@@ -61,12 +61,13 @@ internal static class Pow2MontgomeryModWindowedBenchmarkInputsProvider
};
var cases = new Pow2MontgomeryModWindowedBenchmarkCase[seeds.Length];
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
for (int i = 0; i < seeds.Length; i++)
{
Pow2MontgomeryModWindowedBenchmarkSeed seed = seeds[i];
ulong modulus = 2UL * seed.Multiplier * seed.Exponent + 1UL;
MontgomeryDivisorData divisor = MontgomeryDivisorData.FromModulus(modulus);
ulong cycleLength = MersenneDivisorCycles.CalculateCycleLength(modulus, divisor);
ulong cycleLength = MersenneDivisorCyclesGpu.CalculateCycleLength(gpu, modulus, divisor);
ulong reducedExponent = seed.Exponent % cycleLength;
cases[i] = new Pow2MontgomeryModWindowedBenchmarkCase(
seed.Exponent,
@@ -76,6 +77,7 @@ internal static class Pow2MontgomeryModWindowedBenchmarkInputsProvider
reducedExponent);
}
PrimeOrderCalculatorAccelerator.Return(gpu);
return new Pow2MontgomeryModWindowedBenchmarkInputs(cases);
}
@@ -92,3 +94,4 @@ internal static class Pow2MontgomeryModWindowedBenchmarkInputsProvider
public ulong Multiplier { get; }
}
}
@@ -32,7 +32,7 @@ public class Pow2MontgomeryModWindowedKeepMontgomeryCpuBenchmarks
for (int i = 0; i < cases.Length; i++)
{
ref readonly Pow2MontgomeryModWindowedBenchmarkCase current = ref cases[i];
checksum ^= current.Exponent.Pow2MontgomeryModWindowedCpu(current.Divisor, keepMontgomery: false);
checksum ^= current.Exponent.Pow2MontgomeryModWindowedConvertToStandardCpu(current.Divisor);
}
return checksum;
@@ -50,7 +50,7 @@ public class Pow2MontgomeryModWindowedKeepMontgomeryCpuBenchmarks
for (int i = 0; i < cases.Length; i++)
{
ref readonly Pow2MontgomeryModWindowedBenchmarkCase current = ref cases[i];
checksum ^= current.Exponent.Pow2MontgomeryModWindowedCpu(current.Divisor, keepMontgomery: true);
checksum ^= current.Exponent.Pow2MontgomeryModWindowedKeepMontgomeryCpu(current.Divisor);
}
return checksum;
@@ -68,7 +68,7 @@ public class Pow2MontgomeryModWindowedKeepMontgomeryCpuBenchmarks
for (int i = 0; i < cases.Length; i++)
{
ref readonly Pow2MontgomeryModWindowedBenchmarkCase current = ref cases[i];
checksum ^= current.Exponent.Pow2MontgomeryModWithCycleCpu(current.CycleLength, current.Divisor);
checksum ^= current.Exponent.Pow2MontgomeryModWithCycleConvertToStandardCpu(current.CycleLength, current.Divisor);
}
return checksum;
@@ -1,7 +1,8 @@
using System;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu.Accelerators;
using PerfectNumbers.Core.Gpu.Kernels;
namespace EvenPerfectBitScanner.Benchmarks;
@@ -31,12 +32,14 @@ public class Pow2MontgomeryModWindowedKeepMontgomeryGpuBenchmarks
ulong checksum = 0UL;
Pow2MontgomeryModWindowedBenchmarkCase[] cases = _inputs.Cases;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
for (int i = 0; i < cases.Length; i++)
{
ref readonly Pow2MontgomeryModWindowedBenchmarkCase current = ref cases[i];
checksum ^= current.Exponent.Pow2MontgomeryModWindowedGpu(current.Divisor, keepMontgomery: false);
checksum ^= current.Exponent.Pow2MontgomeryModWindowedConvertGpu(gpu, current.Divisor);
}
PrimeOrderCalculatorAccelerator.Return(gpu);
return checksum;
}
@@ -49,12 +52,14 @@ public class Pow2MontgomeryModWindowedKeepMontgomeryGpuBenchmarks
ulong checksum = 0UL;
Pow2MontgomeryModWindowedBenchmarkCase[] cases = _inputs.Cases;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
for (int i = 0; i < cases.Length; i++)
{
ref readonly Pow2MontgomeryModWindowedBenchmarkCase current = ref cases[i];
checksum ^= current.Exponent.Pow2MontgomeryModWindowedGpu(current.Divisor, keepMontgomery: true);
checksum ^= current.Exponent.Pow2MontgomeryModWindowedKeepGpu(gpu, current.Divisor);
}
PrimeOrderCalculatorAccelerator.Return(gpu);
return checksum;
}
@@ -0,0 +1,415 @@
using System.Numerics;
using System.Runtime.CompilerServices;
using BenchmarkDotNet.Attributes;
using PerfectNumbers.Core;
namespace EvenPerfectBitScanner.Benchmarks
{
public class Pow2ProviderBigIntegerBenchmarks
{
[Benchmark(Baseline = true)]
public BigInteger ByShifting()
{
BigInteger result = BigInteger.Zero;
for (int i = 0; i <= 63; i++)
{
result = BigInteger.One << i;
}
return result;
}
[Benchmark]
public BigInteger ByMapping()
{
BigInteger result = BigInteger.Zero;
for (int i = 0; i <= 63; i++)
{
result = Pow2Provider.BigInteger(i);
}
return result;
}
}
public class Pow2MinusOneeProviderBigIntegerBenchmarks
{
[Benchmark(Baseline = true)]
public BigInteger ByShifting()
{
BigInteger result = BigInteger.Zero;
for (int i = 0; i <= 63; i++)
{
result = (BigInteger.One << i) - BigInteger.One;
}
return result;
}
[Benchmark]
public BigInteger ByMapping()
{
BigInteger result = BigInteger.Zero;
for (int i = 0; i <= 63; i++)
{
result = Pow2Provider.BigIntegerMinusOne(i);
}
return result;
}
}
public class Pow2ProviderULongBenchmarks
{
public static class ULongNumbers
{
public const ulong TwoMinusOne = 2L - 1L;
public const ulong FourMinusOne = 4L - 1L;
public const ulong EightMinusOne = 8L - 1L;
public const ulong SixteenMinusOne = 16L - 1L;
public const ulong ThirtyTwoMinusOne = 32L - 1L;
public const ulong SixtyFourMinusOne = 64L - 1L;
public const ulong OneHundredTwentyEightMinusOne = 128L - 1L;
public const ulong TwoHundredFiftySixMinusOne = 256L - 1L;
public const ulong FiveHundredTwelveMinusOne = 512L - 1L;
public const ulong OneThousandTwentyFourMinusOne = 1_024L - 1L;
public const ulong TwoThousandFortyEightMinusOne = 2_048L - 1L;
public const ulong FourThousandNinetySixMinusOne = 4_096L - 1L;
public const ulong EightThousandOneHundredNinetyTwoMinusOne = 8_192L - 1L;
public const ulong SixteenThousandThreeHundredEightyFourMinusOne = 16_384L - 1L;
public const ulong ThirtyTwoThousandSevenHundredSixtyEightMinusOne = 32_768L - 1L;
public const ulong SixtyFiveThousandFiveHundredThirtySixMinusOne = 65_536L - 1L;
public const ulong OneHundredThirtyOneThousandSeventyTwoMinusOne = 131_072L - 1L;
public const ulong TwoHundredSixtyTwoThousandOneHundredFortyFourMinusOne = 262_144L - 1L;
public const ulong FiveHundredTwentyFourThousandTwoHundredEightyEightMinusOne = 524_288L - 1L;
public const ulong OneMillionFortyEightThousandFiveHundredSeventySixMinusOne = 1_048_576L - 1L;
public const ulong TwoMillionNinetySevenThousandOneHundredFiftyTwoMinusOne = 2_097_152L - 1L;
public const ulong FourMillionOneHundredNinetyFourThousandThreeHundredFourMinusOne = 4_194_304L - 1L;
public const ulong EightMillionThreeHundredEightyEightThousandSixHundredEightMinusOne = 8_388_608L - 1L;
public const ulong SixteenMillionSevenHundredSeventySevenThousandTwoHundredSixteenMinusOne = 16_777_216L - 1L;
public const ulong ThirtyThreeMillionFiveHundredFiftyFourThousandFourHundredThirtyTwoMinusOne = 33_554_432L - 1L;
public const ulong SixtySevenMillionOneHundredEightThousandEightHundredSixtyFourMinusOne = 67_108_864L - 1L;
public const ulong OneHundredThirtyFourMillionTwoHundredSeventeenThousandSevenHundredTwentyEightMinusOne = 134_217_728L - 1L;
public const ulong TwoHundredSixtyEightMillionFourHundredThirtyFiveThousandFourHundredFiftySixMinusOne = 268_435_456L - 1L;
public const ulong FiveHundredThirtySixMillionEightHundredSeventyThousandNineHundredTwelveMinusOne = 536_870_912L - 1L;
public const ulong OneBillionSeventyThreeMillionSevenHundredFortyOneThousandEightHundredTwentyFourMinusOne = 1_073_741_824L - 1L;
public const ulong TwoBillionOneHundredFortySevenMillionFourHundredEightyThreeThousandSixHundredFortyEightMinusOne = 2_147_483_648L - 1L;
public const ulong FourBillionTwoHundredNinetyFourMillionNineHundredSixtySevenThousandTwoHundredNinetySixMinusOne = 4_294_967_296L - 1L;
public const ulong EightBillionFiveHundredEightyNineMillionNineHundredThirtyFourThousandFiveHundredNinetyTwoMinusOne = 8_589_934_592L - 1L;
public const ulong SeventeenBillionOneHundredSeventyNineMillionEightHundredSixtyNineThousandOneHundredEightyFourMinusOne = 17_179_869_184L - 1L;
public const ulong ThirtyFourBillionThreeHundredFiftyNineMillionSevenHundredThirtyEightThousandThreeHundredSixtyEightMinusOne = 34_359_738_368L - 1L;
public const ulong SixtyEightBillionSevenHundredNineteenMillionFourHundredSeventySixThousandSevenHundredThirtySixMinusOne = 68_719_476_736L - 1L;
public const ulong OneHundredThirtySevenBillionFourHundredThirtyEightMillionNineHundredFiftyThreeThousandFourHundredSeventyTwoMinusOne = 137_438_953_472L - 1L;
public const ulong TwoHundredSeventyFourBillionEightHundredSeventySevenMillionNineHundredSixThousandNineHundredFortyFourMinusOne = 274_877_906_944L - 1L;
public const ulong FiveHundredFortyNineBillionSevenHundredFiftyFiveMillionEightHundredThirteenThousandEightHundredEightyEightMinusOne = 549_755_813_888L - 1L;
public const ulong OneTrillionNinetyNineBillionFiveHundredElevenMillionSixHundredTwentySevenThousandSevenHundredSeventySixMinusOne = 1_099_511_627_776L - 1L;
public const ulong TwoTrillionOneHundredNinetyNineBillionTwentyThreeMillionTwoHundredFiftyFiveThousandFiveHundredFiftyTwoMinusOne = 2_199_023_255_552L - 1L;
public const ulong FourTrillionThreeHundredNinetyEightBillionFortySixMillionFiveHundredElevenThousandOneHundredFourMinusOne = 4_398_046_511_104L - 1L;
public const ulong EightTrillionSevenHundredNinetySixBillionNinetyThreeMillionTwentyTwoThousandTwoHundredEightMinusOne = 8_796_093_022_208L - 1L;
public const ulong SeventeenTrillionFiveHundredNinetyTwoBillionOneHundredEightySixMillionFortyFourThousandFourHundredSixteenMinusOne = 17_592_186_044_416L - 1L;
public const ulong ThirtyFiveTrillionOneHundredEightyFourBillionThreeHundredSeventyTwoMillionEightyEightThousandEightHundredThirtyTwoMinusOne = 35_184_372_088_832L - 1L;
public const ulong SeventyTrillionThreeHundredSixtyEightBillionSevenHundredFortyFourMillionOneHundredSeventySevenThousandSixHundredSixtyFourMinusOne = 70_368_744_177_664L - 1L;
public const ulong OneHundredFortyTrillionSevenHundredThirtySevenBillionFourHundredEightyEightMillionThreeHundredFiftyFiveThousandThreeHundredTwentyEightMinusOne = 140_737_488_355_328L - 1L;
public const ulong TwoHundredEightyOneTrillionFourHundredSeventyFourBillionNineHundredSeventySixMillionSevenHundredTenThousandSixHundredFiftySixMinusOne = 281_474_976_710_656L - 1L;
public const ulong FiveHundredSixtyTwoTrillionNineHundredFortyNineBillionNineHundredFiftyThreeMillionFourHundredTwentyOneThousandThreeHundredTwelveMinusOne = 562_949_953_421_312L - 1L;
public const ulong OneQuadrillionOneHundredTwentyFiveTrillionEightHundredNinetyNineBillionNineHundredSixMillionEightHundredFortyTwoThousandSixHundredTwentyFourMinusOne = 1_125_899_906_842_624L - 1L;
public const ulong TwoQuadrillionTwoHundredFiftyOneTrillionSevenHundredNinetyNineBillionEightHundredThirteenMillionSixHundredEightyFiveThousandTwoHundredFortyEightMinusOne = 2_251_799_813_685_248L - 1L;
public const ulong FourQuadrillionFiveHundredThreeTrillionFiveHundredNinetyNineBillionSixHundredTwentySevenMillionThreeHundredSeventyThousandFourHundredNinetySixMinusOne = 4_503_599_627_370_496L - 1L;
public const ulong NineQuadrillionSevenTrillionOneHundredNinetyNineBillionTwoHundredFiftyFourMillionSevenHundredFortyThousandNineHundredNinetyTwoMinusOne = 9_007_199_254_740_992L - 1L;
public const ulong EighteenQuadrillionFourteenTrillionThreeHundredNinetyEightBillionFiveHundredEightMillionEightHundredEightyThousandOneHundredEightyFourMinusOne = 18_014_398_509_481_984L - 1L;
public const ulong ThirtySixQuadrillionTwentyEightTrillionSevenHundredNinetySevenBillionSeventeenMillionSevenHundredSixtyThousandThreeHundredSixtyEightMinusOne = 36_028_797_018_963_968L - 1L;
public const ulong SeventyTwoQuadrillionFiftySevenTrillionFiveHundredNinetyFourBillionThirtyFiveMillionFiveHundredTwentyThousandSevenHundredThirtySixMinusOne = 72_057_594_037_927_936L - 1L;
public const ulong OneHundredFortyFourQuadrillionOneHundredFifteenTrillionOneHundredEightyEightBillionSeventyOneMillionFortyOneThousandFourHundredSeventyTwoMinusOne = 144_115_188_075_855_872L - 1L;
public const ulong TwoHundredEightyEightQuadrillionTwoHundredThirtyTrillionThreeHundredSeventySixBillionOneHundredFortyTwoMillionEightyTwoThousandNineHundredFortyFourMinusOne = 288_230_376_151_711_744L - 1L;
public const ulong FiveHundredSeventySixQuadrillionFourHundredSixtyTrillionSevenHundredFiftyTwoBillionTwoHundredEightyFourMillionOneHundredSixtyFiveThousandEightHundredEightyEightMinusOne = 576_460_752_303_423_488L - 1L;
public const ulong OneQuintillionOneHundredFiftyTwoQuadrillionNineHundredTwentyOneTrillionFiveHundredFourBillionSixHundredSixtyEightMillionThreeHundredThirtyOneThousandSevenHundredSeventySixMinusOne = 1_152_921_504_606_846_976L - 1L;
public const ulong TwoQuintillionThreeHundredFiveQuadrillionEightHundredFortyThreeTrillionNineBillionThreeHundredThirtySixMillionSixHundredSixtyThreeThousandFiveHundredFiftyTwoMinusOne = 2_305_843_009_213_693_952L - 1L;
public const ulong FourQuintillionSixHundredElevenQuadrillionSixHundredEightySevenTrillionEightHundredSixteenBillionSixHundredSeventyThreeMillionTwoHundredTwentySevenThousandOneHundredFourMinusOne = 4_611_686_018_427_387_904L - 1L;
public const ulong NineQuintillionTwoHundredTwentyThreeQuadrillionThreeHundredSeventyTwoTrillionThirtySixBillionEightHundredFiftyFourMillionSevenHundredSeventyFiveThousandEightHundredEightMinusOne = 9_223_372_036_854_775_808UL - 1UL;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public static ulong ULongMinusOne(int i) => i switch
{
0 => 0UL,
1 => ULongNumbers.TwoMinusOne,
2 => ULongNumbers.FourMinusOne,
3 => ULongNumbers.EightMinusOne,
4 => ULongNumbers.SixteenMinusOne,
5 => ULongNumbers.ThirtyTwoMinusOne,
6 => ULongNumbers.SixtyFourMinusOne,
7 => ULongNumbers.OneHundredTwentyEightMinusOne,
8 => ULongNumbers.TwoHundredFiftySixMinusOne,
9 => ULongNumbers.FiveHundredTwelveMinusOne,
10 => ULongNumbers.OneThousandTwentyFourMinusOne,
11 => ULongNumbers.TwoThousandFortyEightMinusOne,
12 => ULongNumbers.FourThousandNinetySixMinusOne,
13 => ULongNumbers.EightThousandOneHundredNinetyTwoMinusOne,
14 => ULongNumbers.SixteenThousandThreeHundredEightyFourMinusOne,
15 => ULongNumbers.ThirtyTwoThousandSevenHundredSixtyEightMinusOne,
16 => ULongNumbers.SixtyFiveThousandFiveHundredThirtySixMinusOne,
17 => ULongNumbers.OneHundredThirtyOneThousandSeventyTwoMinusOne,
18 => ULongNumbers.TwoHundredSixtyTwoThousandOneHundredFortyFourMinusOne,
19 => ULongNumbers.FiveHundredTwentyFourThousandTwoHundredEightyEightMinusOne,
20 => ULongNumbers.OneMillionFortyEightThousandFiveHundredSeventySixMinusOne,
21 => ULongNumbers.TwoMillionNinetySevenThousandOneHundredFiftyTwoMinusOne,
22 => ULongNumbers.FourMillionOneHundredNinetyFourThousandThreeHundredFourMinusOne,
23 => ULongNumbers.EightMillionThreeHundredEightyEightThousandSixHundredEightMinusOne,
24 => ULongNumbers.SixteenMillionSevenHundredSeventySevenThousandTwoHundredSixteenMinusOne,
25 => ULongNumbers.ThirtyThreeMillionFiveHundredFiftyFourThousandFourHundredThirtyTwoMinusOne,
26 => ULongNumbers.SixtySevenMillionOneHundredEightThousandEightHundredSixtyFourMinusOne,
27 => ULongNumbers.OneHundredThirtyFourMillionTwoHundredSeventeenThousandSevenHundredTwentyEightMinusOne,
28 => ULongNumbers.TwoHundredSixtyEightMillionFourHundredThirtyFiveThousandFourHundredFiftySixMinusOne,
29 => ULongNumbers.FiveHundredThirtySixMillionEightHundredSeventyThousandNineHundredTwelveMinusOne,
30 => ULongNumbers.OneBillionSeventyThreeMillionSevenHundredFortyOneThousandEightHundredTwentyFourMinusOne,
31 => ULongNumbers.TwoBillionOneHundredFortySevenMillionFourHundredEightyThreeThousandSixHundredFortyEightMinusOne,
32 => ULongNumbers.FourBillionTwoHundredNinetyFourMillionNineHundredSixtySevenThousandTwoHundredNinetySixMinusOne,
33 => ULongNumbers.EightBillionFiveHundredEightyNineMillionNineHundredThirtyFourThousandFiveHundredNinetyTwoMinusOne,
34 => ULongNumbers.SeventeenBillionOneHundredSeventyNineMillionEightHundredSixtyNineThousandOneHundredEightyFourMinusOne,
35 => ULongNumbers.ThirtyFourBillionThreeHundredFiftyNineMillionSevenHundredThirtyEightThousandThreeHundredSixtyEightMinusOne,
36 => ULongNumbers.SixtyEightBillionSevenHundredNineteenMillionFourHundredSeventySixThousandSevenHundredThirtySixMinusOne,
37 => ULongNumbers.OneHundredThirtySevenBillionFourHundredThirtyEightMillionNineHundredFiftyThreeThousandFourHundredSeventyTwoMinusOne,
38 => ULongNumbers.TwoHundredSeventyFourBillionEightHundredSeventySevenMillionNineHundredSixThousandNineHundredFortyFourMinusOne,
39 => ULongNumbers.FiveHundredFortyNineBillionSevenHundredFiftyFiveMillionEightHundredThirteenThousandEightHundredEightyEightMinusOne,
40 => ULongNumbers.OneTrillionNinetyNineBillionFiveHundredElevenMillionSixHundredTwentySevenThousandSevenHundredSeventySixMinusOne,
41 => ULongNumbers.TwoTrillionOneHundredNinetyNineBillionTwentyThreeMillionTwoHundredFiftyFiveThousandFiveHundredFiftyTwoMinusOne,
42 => ULongNumbers.FourTrillionThreeHundredNinetyEightBillionFortySixMillionFiveHundredElevenThousandOneHundredFourMinusOne,
43 => ULongNumbers.EightTrillionSevenHundredNinetySixBillionNinetyThreeMillionTwentyTwoThousandTwoHundredEightMinusOne,
44 => ULongNumbers.SeventeenTrillionFiveHundredNinetyTwoBillionOneHundredEightySixMillionFortyFourThousandFourHundredSixteenMinusOne,
45 => ULongNumbers.ThirtyFiveTrillionOneHundredEightyFourBillionThreeHundredSeventyTwoMillionEightyEightThousandEightHundredThirtyTwoMinusOne,
46 => ULongNumbers.SeventyTrillionThreeHundredSixtyEightBillionSevenHundredFortyFourMillionOneHundredSeventySevenThousandSixHundredSixtyFourMinusOne,
47 => ULongNumbers.OneHundredFortyTrillionSevenHundredThirtySevenBillionFourHundredEightyEightMillionThreeHundredFiftyFiveThousandThreeHundredTwentyEightMinusOne,
48 => ULongNumbers.TwoHundredEightyOneTrillionFourHundredSeventyFourBillionNineHundredSeventySixMillionSevenHundredTenThousandSixHundredFiftySixMinusOne,
49 => ULongNumbers.FiveHundredSixtyTwoTrillionNineHundredFortyNineBillionNineHundredFiftyThreeMillionFourHundredTwentyOneThousandThreeHundredTwelveMinusOne,
50 => ULongNumbers.OneQuadrillionOneHundredTwentyFiveTrillionEightHundredNinetyNineBillionNineHundredSixMillionEightHundredFortyTwoThousandSixHundredTwentyFourMinusOne,
51 => ULongNumbers.TwoQuadrillionTwoHundredFiftyOneTrillionSevenHundredNinetyNineBillionEightHundredThirteenMillionSixHundredEightyFiveThousandTwoHundredFortyEightMinusOne,
52 => ULongNumbers.FourQuadrillionFiveHundredThreeTrillionFiveHundredNinetyNineBillionSixHundredTwentySevenMillionThreeHundredSeventyThousandFourHundredNinetySixMinusOne,
53 => ULongNumbers.NineQuadrillionSevenTrillionOneHundredNinetyNineBillionTwoHundredFiftyFourMillionSevenHundredFortyThousandNineHundredNinetyTwoMinusOne,
54 => ULongNumbers.EighteenQuadrillionFourteenTrillionThreeHundredNinetyEightBillionFiveHundredEightMillionEightHundredEightyThousandOneHundredEightyFourMinusOne,
55 => ULongNumbers.ThirtySixQuadrillionTwentyEightTrillionSevenHundredNinetySevenBillionSeventeenMillionSevenHundredSixtyThousandThreeHundredSixtyEightMinusOne,
56 => ULongNumbers.SeventyTwoQuadrillionFiftySevenTrillionFiveHundredNinetyFourBillionThirtyFiveMillionFiveHundredTwentyThousandSevenHundredThirtySixMinusOne,
57 => ULongNumbers.OneHundredFortyFourQuadrillionOneHundredFifteenTrillionOneHundredEightyEightBillionSeventyOneMillionFortyOneThousandFourHundredSeventyTwoMinusOne,
58 => ULongNumbers.TwoHundredEightyEightQuadrillionTwoHundredThirtyTrillionThreeHundredSeventySixBillionOneHundredFortyTwoMillionEightyTwoThousandNineHundredFortyFourMinusOne,
59 => ULongNumbers.FiveHundredSeventySixQuadrillionFourHundredSixtyTrillionSevenHundredFiftyTwoBillionTwoHundredEightyFourMillionOneHundredSixtyFiveThousandEightHundredEightyEightMinusOne,
60 => ULongNumbers.OneQuintillionOneHundredFiftyTwoQuadrillionNineHundredTwentyOneTrillionFiveHundredFourBillionSixHundredSixtyEightMillionThreeHundredThirtyOneThousandSevenHundredSeventySixMinusOne,
61 => ULongNumbers.TwoQuintillionThreeHundredFiveQuadrillionEightHundredFortyThreeTrillionNineBillionThreeHundredThirtySixMillionSixHundredSixtyThreeThousandFiveHundredFiftyTwoMinusOne,
62 => ULongNumbers.FourQuintillionSixHundredElevenQuadrillionSixHundredEightySevenTrillionEightHundredSixteenBillionSixHundredSeventyThreeMillionTwoHundredTwentySevenThousandOneHundredFourMinusOne,
63 => ULongNumbers.NineQuintillionTwoHundredTwentyThreeQuadrillionThreeHundredSeventyTwoTrillionThirtySixBillionEightHundredFiftyFourMillionSevenHundredSeventyFiveThousandEightHundredEightMinusOne,
_ => throw new ArgumentOutOfRangeException(nameof(i)),
};
private static readonly ulong[] BitMask64 = CreateBitMask64();
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static ulong[] CreateBitMask64()
{
ulong[] masks = new ulong[64];
ulong value = 1UL;
for (int i = 0; i < 64; i++)
{
masks[i] = value;
value <<= 1;
}
return masks;
}
[Benchmark(Baseline = true)]
public ulong ByShifting()
{
ulong result = 0UL;
for (int i = 0; i <= 63; i++)
{
result = (1UL << i) - 1UL;
}
return result;
}
[Benchmark]
public ulong ByMapping()
{
ulong result = 0UL;
for (int i = 0; i <= 63; i++)
{
result = ULongMinusOne(i);
}
return result;
}
[Benchmark]
public ulong StaticArray()
{
ulong result = 0UL;
ulong[] bitMask64 = BitMask64;
for (int i = 0; i <= 63; i++)
{
result = bitMask64[i];
}
return result;
}
}
public class Pow2ProviderLongBenchmarks
{
public static class LongNumbers
{
public const long TwoMinusOne = 2L - 1L;
public const long FourMinusOne = 4L - 1L;
public const long EightMinusOne = 8L - 1L;
public const long SixteenMinusOne = 16L - 1L;
public const long ThirtyTwoMinusOne = 32L - 1L;
public const long SixtyFourMinusOne = 64L - 1L;
public const long OneHundredTwentyEightMinusOne = 128L - 1L;
public const long TwoHundredFiftySixMinusOne = 256L - 1L;
public const long FiveHundredTwelveMinusOne = 512L - 1L;
public const long OneThousandTwentyFourMinusOne = 1_024L - 1L;
public const long TwoThousandFortyEightMinusOne = 2_048L - 1L;
public const long FourThousandNinetySixMinusOne = 4_096L - 1L;
public const long EightThousandOneHundredNinetyTwoMinusOne = 8_192L - 1L;
public const long SixteenThousandThreeHundredEightyFourMinusOne = 16_384L - 1L;
public const long ThirtyTwoThousandSevenHundredSixtyEightMinusOne = 32_768L - 1L;
public const long SixtyFiveThousandFiveHundredThirtySixMinusOne = 65_536L - 1L;
public const long OneHundredThirtyOneThousandSeventyTwoMinusOne = 131_072L - 1L;
public const long TwoHundredSixtyTwoThousandOneHundredFortyFourMinusOne = 262_144L - 1L;
public const long FiveHundredTwentyFourThousandTwoHundredEightyEightMinusOne = 524_288L - 1L;
public const long OneMillionFortyEightThousandFiveHundredSeventySixMinusOne = 1_048_576L - 1L;
public const long TwoMillionNinetySevenThousandOneHundredFiftyTwoMinusOne = 2_097_152L - 1L;
public const long FourMillionOneHundredNinetyFourThousandThreeHundredFourMinusOne = 4_194_304L - 1L;
public const long EightMillionThreeHundredEightyEightThousandSixHundredEightMinusOne = 8_388_608L - 1L;
public const long SixteenMillionSevenHundredSeventySevenThousandTwoHundredSixteenMinusOne = 16_777_216L - 1L;
public const long ThirtyThreeMillionFiveHundredFiftyFourThousandFourHundredThirtyTwoMinusOne = 33_554_432L - 1L;
public const long SixtySevenMillionOneHundredEightThousandEightHundredSixtyFourMinusOne = 67_108_864L - 1L;
public const long OneHundredThirtyFourMillionTwoHundredSeventeenThousandSevenHundredTwentyEightMinusOne = 134_217_728L - 1L;
public const long TwoHundredSixtyEightMillionFourHundredThirtyFiveThousandFourHundredFiftySixMinusOne = 268_435_456L - 1L;
public const long FiveHundredThirtySixMillionEightHundredSeventyThousandNineHundredTwelveMinusOne = 536_870_912L - 1L;
public const long OneBillionSeventyThreeMillionSevenHundredFortyOneThousandEightHundredTwentyFourMinusOne = 1_073_741_824L - 1L;
public const long TwoBillionOneHundredFortySevenMillionFourHundredEightyThreeThousandSixHundredFortyEightMinusOne = 2_147_483_648L - 1L;
public const long FourBillionTwoHundredNinetyFourMillionNineHundredSixtySevenThousandTwoHundredNinetySixMinusOne = 4_294_967_296L - 1L;
public const long EightBillionFiveHundredEightyNineMillionNineHundredThirtyFourThousandFiveHundredNinetyTwoMinusOne = 8_589_934_592L - 1L;
public const long SeventeenBillionOneHundredSeventyNineMillionEightHundredSixtyNineThousandOneHundredEightyFourMinusOne = 17_179_869_184L - 1L;
public const long ThirtyFourBillionThreeHundredFiftyNineMillionSevenHundredThirtyEightThousandThreeHundredSixtyEightMinusOne = 34_359_738_368L - 1L;
public const long SixtyEightBillionSevenHundredNineteenMillionFourHundredSeventySixThousandSevenHundredThirtySixMinusOne = 68_719_476_736L - 1L;
public const long OneHundredThirtySevenBillionFourHundredThirtyEightMillionNineHundredFiftyThreeThousandFourHundredSeventyTwoMinusOne = 137_438_953_472L - 1L;
public const long TwoHundredSeventyFourBillionEightHundredSeventySevenMillionNineHundredSixThousandNineHundredFortyFourMinusOne = 274_877_906_944L - 1L;
public const long FiveHundredFortyNineBillionSevenHundredFiftyFiveMillionEightHundredThirteenThousandEightHundredEightyEightMinusOne = 549_755_813_888L - 1L;
public const long OneTrillionNinetyNineBillionFiveHundredElevenMillionSixHundredTwentySevenThousandSevenHundredSeventySixMinusOne = 1_099_511_627_776L - 1L;
public const long TwoTrillionOneHundredNinetyNineBillionTwentyThreeMillionTwoHundredFiftyFiveThousandFiveHundredFiftyTwoMinusOne = 2_199_023_255_552L - 1L;
public const long FourTrillionThreeHundredNinetyEightBillionFortySixMillionFiveHundredElevenThousandOneHundredFourMinusOne = 4_398_046_511_104L - 1L;
public const long EightTrillionSevenHundredNinetySixBillionNinetyThreeMillionTwentyTwoThousandTwoHundredEightMinusOne = 8_796_093_022_208L - 1L;
public const long SeventeenTrillionFiveHundredNinetyTwoBillionOneHundredEightySixMillionFortyFourThousandFourHundredSixteenMinusOne = 17_592_186_044_416L - 1L;
public const long ThirtyFiveTrillionOneHundredEightyFourBillionThreeHundredSeventyTwoMillionEightyEightThousandEightHundredThirtyTwoMinusOne = 35_184_372_088_832L - 1L;
public const long SeventyTrillionThreeHundredSixtyEightBillionSevenHundredFortyFourMillionOneHundredSeventySevenThousandSixHundredSixtyFourMinusOne = 70_368_744_177_664L - 1L;
public const long OneHundredFortyTrillionSevenHundredThirtySevenBillionFourHundredEightyEightMillionThreeHundredFiftyFiveThousandThreeHundredTwentyEightMinusOne = 140_737_488_355_328L - 1L;
public const long TwoHundredEightyOneTrillionFourHundredSeventyFourBillionNineHundredSeventySixMillionSevenHundredTenThousandSixHundredFiftySixMinusOne = 281_474_976_710_656L - 1L;
public const long FiveHundredSixtyTwoTrillionNineHundredFortyNineBillionNineHundredFiftyThreeMillionFourHundredTwentyOneThousandThreeHundredTwelveMinusOne = 562_949_953_421_312L - 1L;
public const long OneQuadrillionOneHundredTwentyFiveTrillionEightHundredNinetyNineBillionNineHundredSixMillionEightHundredFortyTwoThousandSixHundredTwentyFourMinusOne = 1_125_899_906_842_624L - 1L;
public const long TwoQuadrillionTwoHundredFiftyOneTrillionSevenHundredNinetyNineBillionEightHundredThirteenMillionSixHundredEightyFiveThousandTwoHundredFortyEightMinusOne = 2_251_799_813_685_248L - 1L;
public const long FourQuadrillionFiveHundredThreeTrillionFiveHundredNinetyNineBillionSixHundredTwentySevenMillionThreeHundredSeventyThousandFourHundredNinetySixMinusOne = 4_503_599_627_370_496L - 1L;
public const long NineQuadrillionSevenTrillionOneHundredNinetyNineBillionTwoHundredFiftyFourMillionSevenHundredFortyThousandNineHundredNinetyTwoMinusOne = 9_007_199_254_740_992L - 1L;
public const long EighteenQuadrillionFourteenTrillionThreeHundredNinetyEightBillionFiveHundredEightMillionEightHundredEightyThousandOneHundredEightyFourMinusOne = 18_014_398_509_481_984L - 1L;
public const long ThirtySixQuadrillionTwentyEightTrillionSevenHundredNinetySevenBillionSeventeenMillionSevenHundredSixtyThousandThreeHundredSixtyEightMinusOne = 36_028_797_018_963_968L - 1L;
public const long SeventyTwoQuadrillionFiftySevenTrillionFiveHundredNinetyFourBillionThirtyFiveMillionFiveHundredTwentyThousandSevenHundredThirtySixMinusOne = 72_057_594_037_927_936L - 1L;
public const long OneHundredFortyFourQuadrillionOneHundredFifteenTrillionOneHundredEightyEightBillionSeventyOneMillionFortyOneThousandFourHundredSeventyTwoMinusOne = 144_115_188_075_855_872L - 1L;
public const long TwoHundredEightyEightQuadrillionTwoHundredThirtyTrillionThreeHundredSeventySixBillionOneHundredFortyTwoMillionEightyTwoThousandNineHundredFortyFourMinusOne = 288_230_376_151_711_744L - 1L;
public const long FiveHundredSeventySixQuadrillionFourHundredSixtyTrillionSevenHundredFiftyTwoBillionTwoHundredEightyFourMillionOneHundredSixtyFiveThousandEightHundredEightyEightMinusOne = 576_460_752_303_423_488L - 1L;
public const long OneQuintillionOneHundredFiftyTwoQuadrillionNineHundredTwentyOneTrillionFiveHundredFourBillionSixHundredSixtyEightMillionThreeHundredThirtyOneThousandSevenHundredSeventySixMinusOne = 1_152_921_504_606_846_976L - 1L;
public const long TwoQuintillionThreeHundredFiveQuadrillionEightHundredFortyThreeTrillionNineBillionThreeHundredThirtySixMillionSixHundredSixtyThreeThousandFiveHundredFiftyTwoMinusOne = 2_305_843_009_213_693_952L - 1L;
public const long FourQuintillionSixHundredElevenQuadrillionSixHundredEightySevenTrillionEightHundredSixteenBillionSixHundredSeventyThreeMillionTwoHundredTwentySevenThousandOneHundredFourMinusOne = 4_611_686_018_427_387_904L - 1L;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public static long LongMinusOne(int i) => i switch
{
0 => 0L,
1 => LongNumbers.TwoMinusOne,
2 => LongNumbers.FourMinusOne,
3 => LongNumbers.EightMinusOne,
4 => LongNumbers.SixteenMinusOne,
5 => LongNumbers.ThirtyTwoMinusOne,
6 => LongNumbers.SixtyFourMinusOne,
7 => LongNumbers.OneHundredTwentyEightMinusOne,
8 => LongNumbers.TwoHundredFiftySixMinusOne,
9 => LongNumbers.FiveHundredTwelveMinusOne,
10 => LongNumbers.OneThousandTwentyFourMinusOne,
11 => LongNumbers.TwoThousandFortyEightMinusOne,
12 => LongNumbers.FourThousandNinetySixMinusOne,
13 => LongNumbers.EightThousandOneHundredNinetyTwoMinusOne,
14 => LongNumbers.SixteenThousandThreeHundredEightyFourMinusOne,
15 => LongNumbers.ThirtyTwoThousandSevenHundredSixtyEightMinusOne,
16 => LongNumbers.SixtyFiveThousandFiveHundredThirtySixMinusOne,
17 => LongNumbers.OneHundredThirtyOneThousandSeventyTwoMinusOne,
18 => LongNumbers.TwoHundredSixtyTwoThousandOneHundredFortyFourMinusOne,
19 => LongNumbers.FiveHundredTwentyFourThousandTwoHundredEightyEightMinusOne,
20 => LongNumbers.OneMillionFortyEightThousandFiveHundredSeventySixMinusOne,
21 => LongNumbers.TwoMillionNinetySevenThousandOneHundredFiftyTwoMinusOne,
22 => LongNumbers.FourMillionOneHundredNinetyFourThousandThreeHundredFourMinusOne,
23 => LongNumbers.EightMillionThreeHundredEightyEightThousandSixHundredEightMinusOne,
24 => LongNumbers.SixteenMillionSevenHundredSeventySevenThousandTwoHundredSixteenMinusOne,
25 => LongNumbers.ThirtyThreeMillionFiveHundredFiftyFourThousandFourHundredThirtyTwoMinusOne,
26 => LongNumbers.SixtySevenMillionOneHundredEightThousandEightHundredSixtyFourMinusOne,
27 => LongNumbers.OneHundredThirtyFourMillionTwoHundredSeventeenThousandSevenHundredTwentyEightMinusOne,
28 => LongNumbers.TwoHundredSixtyEightMillionFourHundredThirtyFiveThousandFourHundredFiftySixMinusOne,
29 => LongNumbers.FiveHundredThirtySixMillionEightHundredSeventyThousandNineHundredTwelveMinusOne,
30 => LongNumbers.OneBillionSeventyThreeMillionSevenHundredFortyOneThousandEightHundredTwentyFourMinusOne,
31 => LongNumbers.TwoBillionOneHundredFortySevenMillionFourHundredEightyThreeThousandSixHundredFortyEightMinusOne,
32 => LongNumbers.FourBillionTwoHundredNinetyFourMillionNineHundredSixtySevenThousandTwoHundredNinetySixMinusOne,
33 => LongNumbers.EightBillionFiveHundredEightyNineMillionNineHundredThirtyFourThousandFiveHundredNinetyTwoMinusOne,
34 => LongNumbers.SeventeenBillionOneHundredSeventyNineMillionEightHundredSixtyNineThousandOneHundredEightyFourMinusOne,
35 => LongNumbers.ThirtyFourBillionThreeHundredFiftyNineMillionSevenHundredThirtyEightThousandThreeHundredSixtyEightMinusOne,
36 => LongNumbers.SixtyEightBillionSevenHundredNineteenMillionFourHundredSeventySixThousandSevenHundredThirtySixMinusOne,
37 => LongNumbers.OneHundredThirtySevenBillionFourHundredThirtyEightMillionNineHundredFiftyThreeThousandFourHundredSeventyTwoMinusOne,
38 => LongNumbers.TwoHundredSeventyFourBillionEightHundredSeventySevenMillionNineHundredSixThousandNineHundredFortyFourMinusOne,
39 => LongNumbers.FiveHundredFortyNineBillionSevenHundredFiftyFiveMillionEightHundredThirteenThousandEightHundredEightyEightMinusOne,
40 => LongNumbers.OneTrillionNinetyNineBillionFiveHundredElevenMillionSixHundredTwentySevenThousandSevenHundredSeventySixMinusOne,
41 => LongNumbers.TwoTrillionOneHundredNinetyNineBillionTwentyThreeMillionTwoHundredFiftyFiveThousandFiveHundredFiftyTwoMinusOne,
42 => LongNumbers.FourTrillionThreeHundredNinetyEightBillionFortySixMillionFiveHundredElevenThousandOneHundredFourMinusOne,
43 => LongNumbers.EightTrillionSevenHundredNinetySixBillionNinetyThreeMillionTwentyTwoThousandTwoHundredEightMinusOne,
44 => LongNumbers.SeventeenTrillionFiveHundredNinetyTwoBillionOneHundredEightySixMillionFortyFourThousandFourHundredSixteenMinusOne,
45 => LongNumbers.ThirtyFiveTrillionOneHundredEightyFourBillionThreeHundredSeventyTwoMillionEightyEightThousandEightHundredThirtyTwoMinusOne,
46 => LongNumbers.SeventyTrillionThreeHundredSixtyEightBillionSevenHundredFortyFourMillionOneHundredSeventySevenThousandSixHundredSixtyFourMinusOne,
47 => LongNumbers.OneHundredFortyTrillionSevenHundredThirtySevenBillionFourHundredEightyEightMillionThreeHundredFiftyFiveThousandThreeHundredTwentyEightMinusOne,
48 => LongNumbers.TwoHundredEightyOneTrillionFourHundredSeventyFourBillionNineHundredSeventySixMillionSevenHundredTenThousandSixHundredFiftySixMinusOne,
49 => LongNumbers.FiveHundredSixtyTwoTrillionNineHundredFortyNineBillionNineHundredFiftyThreeMillionFourHundredTwentyOneThousandThreeHundredTwelveMinusOne,
50 => LongNumbers.OneQuadrillionOneHundredTwentyFiveTrillionEightHundredNinetyNineBillionNineHundredSixMillionEightHundredFortyTwoThousandSixHundredTwentyFourMinusOne,
51 => LongNumbers.TwoQuadrillionTwoHundredFiftyOneTrillionSevenHundredNinetyNineBillionEightHundredThirteenMillionSixHundredEightyFiveThousandTwoHundredFortyEightMinusOne,
52 => LongNumbers.FourQuadrillionFiveHundredThreeTrillionFiveHundredNinetyNineBillionSixHundredTwentySevenMillionThreeHundredSeventyThousandFourHundredNinetySixMinusOne,
53 => LongNumbers.NineQuadrillionSevenTrillionOneHundredNinetyNineBillionTwoHundredFiftyFourMillionSevenHundredFortyThousandNineHundredNinetyTwoMinusOne,
54 => LongNumbers.EighteenQuadrillionFourteenTrillionThreeHundredNinetyEightBillionFiveHundredEightMillionEightHundredEightyThousandOneHundredEightyFourMinusOne,
55 => LongNumbers.ThirtySixQuadrillionTwentyEightTrillionSevenHundredNinetySevenBillionSeventeenMillionSevenHundredSixtyThousandThreeHundredSixtyEightMinusOne,
56 => LongNumbers.SeventyTwoQuadrillionFiftySevenTrillionFiveHundredNinetyFourBillionThirtyFiveMillionFiveHundredTwentyThousandSevenHundredThirtySixMinusOne,
57 => LongNumbers.OneHundredFortyFourQuadrillionOneHundredFifteenTrillionOneHundredEightyEightBillionSeventyOneMillionFortyOneThousandFourHundredSeventyTwoMinusOne,
58 => LongNumbers.TwoHundredEightyEightQuadrillionTwoHundredThirtyTrillionThreeHundredSeventySixBillionOneHundredFortyTwoMillionEightyTwoThousandNineHundredFortyFourMinusOne,
59 => LongNumbers.FiveHundredSeventySixQuadrillionFourHundredSixtyTrillionSevenHundredFiftyTwoBillionTwoHundredEightyFourMillionOneHundredSixtyFiveThousandEightHundredEightyEightMinusOne,
60 => LongNumbers.OneQuintillionOneHundredFiftyTwoQuadrillionNineHundredTwentyOneTrillionFiveHundredFourBillionSixHundredSixtyEightMillionThreeHundredThirtyOneThousandSevenHundredSeventySixMinusOne,
61 => LongNumbers.TwoQuintillionThreeHundredFiveQuadrillionEightHundredFortyThreeTrillionNineBillionThreeHundredThirtySixMillionSixHundredSixtyThreeThousandFiveHundredFiftyTwoMinusOne,
62 => LongNumbers.FourQuintillionSixHundredElevenQuadrillionSixHundredEightySevenTrillionEightHundredSixteenBillionSixHundredSeventyThreeMillionTwoHundredTwentySevenThousandOneHundredFourMinusOne,
_ => throw new ArgumentOutOfRangeException(nameof(i)),
};
[Benchmark(Baseline = true)]
public long ByShifting()
{
long result = 0L;
for (int i = 0; i <= 62; i++)
{
result = (1L << i) - 1L;
}
return result;
}
[Benchmark]
public long ByMapping()
{
long result = 0L;
for (int i = 0; i <= 62; i++)
{
result = LongMinusOne(i);
}
return result;
}
}
}
@@ -1,10 +1,9 @@
using System;
using System.Collections.Generic;
using System.Threading;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
using Open.Numeric.Primes;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
namespace EvenPerfectBitScanner.Benchmarks;
@@ -12,8 +11,6 @@ namespace EvenPerfectBitScanner.Benchmarks;
[MemoryDiagnoser]
public class PrimeTesterBenchmarks
{
private HeuristicPrimeTester _cpuTester = null!;
private HeuristicPrimeTester _gpuTester = null!;
private ulong[] _candidates = [];
[ParamsSource(nameof(GetBenchmarkCases))]
@@ -22,8 +19,8 @@ public class PrimeTesterBenchmarks
[GlobalSetup]
public void GlobalSetup()
{
_cpuTester = new HeuristicPrimeTester();
_gpuTester = new HeuristicPrimeTester();
EnvironmentConfiguration.RollingAccelerators = 1;
_candidates = BenchmarkCase.Candidates;
if (_candidates.Length == 0)
@@ -31,81 +28,116 @@ public class PrimeTesterBenchmarks
return;
}
CancellationToken cancellationToken = CancellationToken.None;
_cpuTester.IsPrimeCpu(_candidates[0], cancellationToken);
_gpuTester.IsPrimeGpu(_candidates[0]);
PrimeOrderCalculatorAccelerator.WarmUp();
// HeuristicGroupABPrimeTesterAccelerator.WarmUp();
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
_ = HeuristicPrimeTester.IsPrimeCpu(_candidates[0]);
_ = HeuristicPrimeTester.IsPrimeGpu(gpu, _candidates[0]);
_ = Prime.Numbers.IsPrime(_candidates[0]);
PrimeOrderCalculatorAccelerator.Return(gpu);
}
// [Benchmark]
public int HeuristicCpu()
{
ulong[] values = _candidates;
int primeCount = 0;
for (int i = 0; i < values.Length; i++)
{
if (HeuristicPrimeTester.IsPrimeCpu(values[i]))
{
primeCount++;
}
}
return primeCount;
}
// [Benchmark]
public int HeuristicGpu()
{
ulong[] values = _candidates;
int primeCount = 0;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
for (int i = 0; i < values.Length; i++)
{
if (HeuristicPrimeTester.IsPrimeGpu(gpu, values[i]))
{
primeCount++;
}
}
PrimeOrderCalculatorAccelerator.Return(gpu);
return primeCount;
}
// [Benchmark]
public int HeuristicCombinedGpu()
{
ulong[] values = _candidates;
int primeCount = 0;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
for (int i = 0; i < values.Length; i++)
{
if (HeuristicCombinedPrimeTester.IsPrimeGpu(gpu, values[i]))
{
primeCount++;
}
}
return primeCount;
}
// [Benchmark]
public int HeuristicCombinedCpu()
{
ulong[] values = _candidates;
int primeCount = 0;
for (int i = 0; i < values.Length; i++)
{
if (HeuristicCombinedPrimeTester.IsPrimeCpu(values[i]))
{
primeCount++;
}
}
return primeCount;
}
// [Benchmark]
public int NonHeuristicGpu()
{
ulong[] values = _candidates;
int primeCount = 0;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
for (int i = 0; i < values.Length; i++)
{
if (PrimeTester.IsPrimeGpu(gpu, values[i]))
{
primeCount++;
}
}
PrimeOrderCalculatorAccelerator.Return(gpu);
return primeCount;
}
[Benchmark(Baseline = true)]
public int HeuristicCpu()
{
HeuristicPrimeTester tester = _cpuTester;
ulong[] values = _candidates;
CancellationToken cancellationToken = CancellationToken.None;
int primeCount = 0;
for (int i = 0; i < values.Length; i++)
{
if (tester.IsPrimeCpu(values[i], cancellationToken))
{
primeCount++;
}
}
return primeCount;
}
[Benchmark]
public int HeuristicGpu()
{
HeuristicPrimeTester tester = _gpuTester;
ulong[] values = _candidates;
CancellationToken cancellationToken = CancellationToken.None;
int primeCount = 0;
for (int i = 0; i < values.Length; i++)
{
if (tester.IsPrimeGpu(values[i]))
{
primeCount++;
}
}
return primeCount;
}
// This benchmark is very slow. No point in comparing it.
// [Benchmark]
public int NonHeuristicGpu()
{
// PrimeTester tester = _gpuTester;
ulong[] values = _candidates;
CancellationToken cancellationToken = CancellationToken.None;
int primeCount = 0;
for (int i = 0; i < values.Length; i++)
{
if (PrimeTester.Exclusive.IsPrimeGpu(values[i], cancellationToken))
{
primeCount++;
}
}
return primeCount;
}
[Benchmark]
public int NonHeuristicCpu()
{
// PrimeTester tester = _gpuTester;
ulong[] values = _candidates;
CancellationToken cancellationToken = CancellationToken.None;
int primeCount = 0;
for (int i = 0; i < values.Length; i++)
{
if (PrimeTester.IsPrimeCpu(values[i], cancellationToken))
if (PrimeTester.IsPrimeCpu(values[i]))
{
primeCount++;
}
@@ -115,6 +147,40 @@ public class PrimeTesterBenchmarks
}
[Benchmark]
public int ByLastDigitCpu()
{
ulong[] values = _candidates;
int primeCount = 0;
for (int i = 0; i < values.Length; i++)
{
if (PrimeTesterByLastDigit.IsPrimeCpu(values[i]))
{
primeCount++;
}
}
return primeCount;
}
[Benchmark]
public int SevenOrOthersCpu()
{
ulong[] values = _candidates;
int primeCount = 0;
for (int i = 0; i < values.Length; i++)
{
if (PrimeTesterSeverOrOthers.IsPrimeCpu(values[i]))
{
primeCount++;
}
}
return primeCount;
}
// [Benchmark]
public int OpenNumericPrimes()
{
ulong[] values = _candidates;
@@ -147,12 +213,54 @@ public class PrimeTesterBenchmarks
4_000_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥16_000_000",
"Sampled admissible odd values ≥ 16,000,000 (k ≤ 5, not divisible by 5)",
16_000_001UL,
16_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥32_000_000",
"Sampled admissible odd values ≥ 32,000,000 (k ≤ 5, not divisible by 5)",
32_000_001UL,
32_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥64_000_000",
"Sampled admissible odd values ≥ 64,000,000 (k ≤ 5, not divisible by 5)",
64_000_001UL,
64_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥100_000_000",
"Sampled admissible odd values ≥ 100,000,000 (k ≤ 5, not divisible by 5)",
100_000_001UL,
100_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥138_000_000",
"Sampled admissible odd values ≥ 138,000,000 (k ≤ 5, not divisible by 5)",
138_000_001UL,
138_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥276_000_000",
"Sampled admissible odd values ≥ 276,000,000 (k ≤ 5, not divisible by 5)",
276_000_001UL,
276_500_000UL,
4_096);
yield return PrimeBenchmarkCase.FromRange(
"≥552_000_000",
"Sampled admissible odd values ≥ 552,000,000 (k ≤ 5, not divisible by 5)",
552_000_001UL,
552_500_000UL,
4_096);
}
public readonly record struct PrimeBenchmarkCase(string Name, string Description, ulong[] Candidates)
@@ -19,7 +19,7 @@ internal static class Program
"/help"
};
private const string DefaultHeader = "p,searchedMersenne,detailedCheck,passedAllTests";
private const string DefaultHeader = "p,divisor,searchedMersenne,detailedCheck,passedAllTests";
private static int Main(string[] args)
{
+68 -80
View File
@@ -3,13 +3,10 @@ using Xunit;
using System.Reflection;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu;
using EvenPerfectBitScanner;
using EvenPerfectBitScanner.Candidates;
using EvenPerfectBitScanner.Candidates.Transforms;
using System.Numerics;
using System.Threading;
using System.Threading.Tasks;
using PerfectNumbers.Core.Gpu.Accelerators;
namespace EvenPerfectBitScanner.Tests;
@@ -55,7 +52,7 @@ public class ProgramTests
[InlineData(81UL, false)]
public void IsPrime_identifies_primes_correctly(ulong n, bool expected)
{
new PrimeTester().IsPrime(n, CancellationToken.None).Should().Be(expected);
PrimeTester.IsPrimeCpu(n).Should().Be(expected);
}
[Fact]
@@ -102,27 +99,26 @@ public class ProgramTests
var testerField = typeof(Program).GetField("_divisorTester", BindingFlags.NonPublic | BindingFlags.Static)!;
var candidatesField = typeof(MersenneNumberDivisorGpuTester).GetField("_divisorCandidates", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
testerField.SetValue(null, new MersenneNumberDivisorGpuTester());
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, 2UL, true), trackAllValues: true));
candidatesField.SetValue(null, new (ulong, uint)[] { (7UL, 3U), (23UL, 11U) });
forceCpuProp!.SetValue(null, true);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
Program.IsEvenPerfectCandidate(11UL, 32UL, out _, out _).Should().BeFalse();
Program.IsEvenPerfectCandidate(5UL, 32UL, out _, out _).Should().BeTrue();
Program.IsEvenPerfectCandidate(127UL, 32UL, out _, out _).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, 11UL, 32UL, out _, out _).Should().BeFalse();
Program.IsEvenPerfectCandidate(gpu, 5UL, 32UL, out _, out _).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, 127UL, 32UL, out _, out _).Should().BeTrue();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
testerField.SetValue(null, null);
candidatesField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
}
}
@@ -135,27 +131,26 @@ public class ProgramTests
var testerField = typeof(Program).GetField("_divisorTester", BindingFlags.NonPublic | BindingFlags.Static)!;
var candidatesField = typeof(MersenneNumberDivisorGpuTester).GetField("_divisorCandidates", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
testerField.SetValue(null, new MersenneNumberDivisorGpuTester());
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, 2UL, true), trackAllValues: true));
candidatesField.SetValue(null, Array.Empty<(ulong, uint)>());
forceCpuProp!.SetValue(null, true);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
Program.IsEvenPerfectCandidate(11UL, 0UL, out bool searched, out bool detailedCheck).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, 11UL, 0UL, out bool searched, out bool detailedCheck).Should().BeTrue();
searched.Should().BeTrue();
detailedCheck.Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
testerField.SetValue(null, null);
candidatesField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
}
}
@@ -168,25 +163,24 @@ public class ProgramTests
var testerField = typeof(Program).GetField("_divisorTester", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
testerField.SetValue(null, new MersenneNumberDivisorGpuTester());
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, 2UL, true), trackAllValues: true));
forceCpuProp!.SetValue(null, true);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
Program.IsEvenPerfectCandidate(3UL, 4_000_000_000UL, out bool searched, out bool detailed).Should().BeFalse();
Program.IsEvenPerfectCandidate(gpu, 3UL, 4_000_000_000UL, out bool searched, out bool detailed).Should().BeFalse();
searched.Should().BeTrue();
detailed.Should().BeTrue();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
testerField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
}
}
@@ -199,29 +193,28 @@ public class ProgramTests
var testerField = typeof(Program).GetField("_divisorTester", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
testerField.SetValue(null, new MersenneNumberDivisorGpuTester());
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, 2UL, true), trackAllValues: true));
forceCpuProp!.SetValue(null, false);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
Program.IsEvenPerfectCandidate(11UL, 0UL, out bool searched, out bool detailed).Should().BeFalse();
Program.IsEvenPerfectCandidate(gpu, 11UL, 0UL, out bool searched, out bool detailed).Should().BeFalse();
searched.Should().BeTrue();
detailed.Should().BeTrue();
Program.IsEvenPerfectCandidate(13UL, 0UL, out searched, out detailed).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, 13UL, 0UL, out searched, out detailed).Should().BeTrue();
searched.Should().BeTrue();
detailed.Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
testerField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
}
}
@@ -233,29 +226,28 @@ public class ProgramTests
var mersenneField = typeof(Program).GetField("MersenneTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
mersenneField.SetValue(null, new ThreadLocal<MersenneNumberTester>(() => new MersenneNumberTester(useIncremental: true, useResidue: true, maxK: 1_000UL), trackAllValues: true));
mersenneField.SetValue(null, new ThreadLocal<object>(() => new MersenneNumberTesterForResidueCalculationMethodForDisabledCacheStatusForCpuOrderDeviceForCpu( maxK: 1_000UL), trackAllValues: true));
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, 2UL, true), trackAllValues: true));
forceCpuProp!.SetValue(null, false);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
Program.IsEvenPerfectCandidate(29UL, 0UL, out bool searched, out bool detailed).Should().BeFalse();
Program.IsEvenPerfectCandidate(gpu, 29UL, 0UL, out bool searched, out bool detailed).Should().BeFalse();
searched.Should().BeTrue();
detailed.Should().BeFalse();
Program.IsEvenPerfectCandidate(31UL, 0UL, out searched, out detailed).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, 31UL, 0UL, out searched, out detailed).Should().BeTrue();
searched.Should().BeTrue();
detailed.Should().BeTrue();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
mersenneField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
}
}
@@ -267,32 +259,30 @@ public class ProgramTests
var mersenneField = typeof(Program).GetField("MersenneTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
mersenneField.SetValue(null, new ThreadLocal<MersenneNumberTester>(() => new MersenneNumberTester(
useIncremental: true,
useResidue: true,
mersenneField.SetValue(null, new ThreadLocal<object>(() => new MersenneNumberTesterForResidueCalculationMethodForDisabledCacheStatusForCpuOrderDeviceForCpu(
maxK: 1_024UL), trackAllValues: true));
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, 2UL, true), trackAllValues: true));
forceCpuProp!.SetValue(null, false);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
ulong[] primes = [107UL, 127UL];
foreach (ulong prime in primes)
{
Program.IsEvenPerfectCandidate(prime, 1024UL, out bool searched, out bool detailed).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, prime, 1024UL, out bool searched, out bool detailed).Should().BeTrue();
searched.Should().BeTrue();
detailed.Should().BeTrue();
}
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
mersenneField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
}
}
@@ -305,32 +295,30 @@ public class ProgramTests
var mersenneField = typeof(Program).GetField("MersenneTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
mersenneField.SetValue(null, new ThreadLocal<MersenneNumberTester>(() => new MersenneNumberTester(
useIncremental: true,
useResidue: true,
mersenneField.SetValue(null, new ThreadLocal<object>(() => new MersenneNumberTesterForResidueCalculationMethodForDisabledCacheStatusForCpuOrderDeviceForCpu(
maxK: 5_000_000UL), trackAllValues: true));
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, 2UL, true), trackAllValues: true));
forceCpuProp!.SetValue(null, false);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
ulong[] primes = [107UL, 127UL, 521UL, 607UL];
Parallel.ForEach(primes, prime =>
{
Program.IsEvenPerfectCandidate(prime, 0UL, out bool searched, out bool detailed).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, prime, 0UL, out bool searched, out bool detailed).Should().BeTrue();
searched.Should().BeTrue();
detailed.Should().BeTrue();
});
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
mersenneField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
}
}
@@ -342,32 +330,30 @@ public class ProgramTests
var mersenneField = typeof(Program).GetField("MersenneTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
mersenneField.SetValue(null, new ThreadLocal<MersenneNumberTester>(() => new MersenneNumberTester(
useIncremental: true,
useResidue: true,
mersenneField.SetValue(null, new ThreadLocal<object>(() => new MersenneNumberTesterForResidueCalculationMethodForDisabledCacheStatusForCpuOrderDeviceForCpu(
maxK: 5_000_000UL), trackAllValues: true));
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, 2UL, true), trackAllValues: true));
forceCpuProp!.SetValue(null, false);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
Program.IsEvenPerfectCandidate(107UL, 0UL, out bool searched, out bool detailed).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, 107UL, 0UL, out bool searched, out bool detailed).Should().BeTrue();
searched.Should().BeTrue();
detailed.Should().BeTrue();
Program.IsEvenPerfectCandidate(127UL, 0UL, out searched, out detailed).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, 127UL, 0UL, out searched, out detailed).Should().BeTrue();
searched.Should().BeTrue();
detailed.Should().BeTrue();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
mersenneField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
}
}
@@ -380,29 +366,25 @@ public class ProgramTests
var mersenneField = typeof(Program).GetField("MersenneTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
mersenneField.SetValue(null, new ThreadLocal<MersenneNumberTester>(() => new MersenneNumberTester(
useIncremental: true,
useGpuScan: false,
useGpuOrder: false,
useResidue: true,
mersenneField.SetValue(null, new ThreadLocal<object>(() => new MersenneNumberTesterForResidueCalculationMethodForDisabledCacheStatusForCpuOrderDeviceForCpu(
maxK: 1_024UL), trackAllValues: true));
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, exponent, true), trackAllValues: true));
forceCpuProp!.SetValue(null, true);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
Program.IsEvenPerfectCandidate(exponent, 0UL, out bool searched, out bool detailedCheck).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, exponent, 0UL, out bool searched, out bool detailedCheck).Should().BeTrue();
searched.Should().BeTrue();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
mersenneField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
}
}
@@ -417,32 +399,38 @@ public class ProgramTests
var mersenneField = typeof(Program).GetField("MersenneTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
mersenneField.SetValue(null, new ThreadLocal<MersenneNumberTester>(() => new MersenneNumberTester(
useIncremental: false,
kernelType: configuration.KernelType,
useGpuScan: true,
useGpuOrder: configuration.UseGpuOrder,
useResidue: true,
maxK: configuration.ResidueMaxK), trackAllValues: true));
mersenneField.SetValue(null, new ThreadLocal<object>(() =>
{
if (configuration.UseGpuOrder)
{
return new MersenneNumberTesterForResidueCalculationMethodForDisabledCacheStatusForGpuOrderDeviceForCpu(
kernelType: configuration.KernelType,
maxK: configuration.ResidueMaxK);
}
return new MersenneNumberTesterForResidueCalculationMethodForDisabledCacheStatusForCpuOrderDeviceForCpu(
kernelType: configuration.KernelType,
maxK: configuration.ResidueMaxK);
}, trackAllValues: true));
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, exponent, true), trackAllValues: true));
forceCpuProp!.SetValue(null, false);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
Program.IsEvenPerfectCandidate(exponent, 0UL, out bool searched, out bool detailedCheck).Should().BeTrue();
Program.IsEvenPerfectCandidate(gpu, exponent, 0UL, out bool searched, out bool detailedCheck).Should().BeTrue();
searched.Should().BeTrue();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
mersenneField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
GpuContextPool.DisposeAll();
}
}
@@ -506,33 +494,32 @@ public class ProgramTests
var mersenneField = typeof(Program).GetField("MersenneTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var primeField = typeof(Program).GetField("PrimeTesters", BindingFlags.NonPublic | BindingFlags.Static)!;
var compositeField = typeof(Program).GetField("_lastCompositeP", BindingFlags.NonPublic | BindingFlags.Static)!;
var forceCpuProp = typeof(GpuContextPool).GetProperty("ForceCpu");
mersenneField.SetValue(null, new ThreadLocal<MersenneNumberTester>(() => new MersenneNumberTester(useIncremental: true, useResidue: false, maxK: 1_000UL), trackAllValues: true));
mersenneField.SetValue(null, new ThreadLocal<object>(() => new MersenneNumberTesterForIncrementalCalculationMethodForDisabledCacheStatusForCpuOrderDeviceForCpu( maxK: 1_000UL), trackAllValues: true));
primeField.SetValue(null, new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true));
CandidatesCalculator.OverrideResidueTrackers(new ThreadLocal<ModResidueTracker>(() => new ModResidueTracker(ResidueModel.Identity, 2UL, true), trackAllValues: true));
forceCpuProp!.SetValue(null, true);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
compositeField.SetValue(null, false);
Program.IsEvenPerfectCandidate(9UL, 0UL, out bool searched, out bool detailed).Should().BeFalse();
Program.IsEvenPerfectCandidate(gpu, 9UL, 0UL, out bool searched, out bool detailed).Should().BeFalse();
searched.Should().BeFalse();
detailed.Should().BeFalse();
((bool)compositeField.GetValue(null)!).Should().BeTrue();
Program.IsEvenPerfectCandidate(11UL, 0UL, out searched, out detailed);
Program.IsEvenPerfectCandidate(gpu, 11UL, 0UL, out searched, out detailed);
searched.Should().BeTrue();
((bool)compositeField.GetValue(null)!).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
mersenneField.SetValue(null, null);
primeField.SetValue(null, null);
CandidatesCalculator.ResetResidueTrackers();
compositeField.SetValue(null, false);
forceCpuProp!.SetValue(null, false);
ResetCliArguments();
}
}
@@ -557,8 +544,9 @@ public class ProgramTests
string output = writer.ToString();
output.Should().Contain("Usage:");
output.Should().Contain("--mersenne-device=cpu|gpu");
output.Should().Contain("--mersenne-device=cpu|gpu|hybrid");
output.Should().Contain("--primes-device=cpu|gpu");
}
}
@@ -1,6 +1,3 @@
using System.Collections.Generic;
using System.IO;
using System.Numerics;
using FluentAssertions;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu;
@@ -1,15 +1,15 @@
using System.Buffers.Text;
using System.IO;
using System.Globalization;
using System.Numerics;
using System.Runtime.CompilerServices;
using System.Text;
using System.Threading;
using PerfectNumbers.Core;
namespace EvenPerfectBitScanner;
internal static class CalculationResultHandler
{
private const string ResultsHeader = "p,searchedMersenne,detailedCheck,passedAllTests";
private const string ResultsHeader = "p,divisor,searchedMersenne,detailedCheck,passedAllTests";
private const string PrimeFoundSuffix = " (FOUND VALID CANDIDATES)";
internal const int DefaultWriteBatchSize = 100;
@@ -95,19 +95,46 @@ internal static class CalculationResultHandler
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
internal static void HandleResult(ulong currentP, bool searchedMersenne, bool detailedCheck, bool passedAllTests, bool lastWasComposite)
internal static void HandleResult(ulong currentP, BigInteger divisor, bool searchedMersenne, bool detailedCheck, bool passedAllTests, bool lastWasComposite)
{
Span<char> divisorBuffer = stackalloc char[256];
if (!divisor.TryFormat(divisorBuffer, out int divisorChars, provider: CultureInfo.InvariantCulture))
{
string divisorString = divisor.ToString(CultureInfo.InvariantCulture);
HandleResultInternal(currentP, divisorString.AsSpan(), searchedMersenne, detailedCheck, passedAllTests, lastWasComposite);
return;
}
HandleResultInternal(currentP, divisorBuffer[..divisorChars], searchedMersenne, detailedCheck, passedAllTests, lastWasComposite);
}
internal static void HandleResult(ulong currentP, ulong divisor, bool searchedMersenne, bool detailedCheck, bool passedAllTests, bool lastWasComposite)
{
Span<char> divisorBuffer = stackalloc char[32];
if (!divisor.TryFormat(divisorBuffer, out int divisorChars, provider: CultureInfo.InvariantCulture))
{
string divisorString = divisor.ToString(CultureInfo.InvariantCulture);
HandleResultInternal(currentP, divisorString.AsSpan(), searchedMersenne, detailedCheck, passedAllTests, lastWasComposite);
return;
}
HandleResultInternal(currentP, divisorBuffer[..divisorChars], searchedMersenne, detailedCheck, passedAllTests, lastWasComposite);
}
private static void HandleResultInternal(ulong currentP, ReadOnlySpan<char> divisorText, bool searchedMersenne, bool detailedCheck, bool passedAllTests, bool lastWasComposite)
{
// Program flow ensures Initialize(...) and InitializeOutputBuffer() ran before this call. Do not add initialization guards here.
Span<byte> stackBuffer = stackalloc byte[128];
Span<byte> stackBuffer = stackalloc byte[256];
byte[]? rentedBuffer = null;
Span<byte> utf8Span = stackBuffer;
int byteCount = TryFormatResultLine(utf8Span, currentP, searchedMersenne, detailedCheck, passedAllTests);
int byteCount = TryFormatResultLine(utf8Span, currentP, divisorText, searchedMersenne, detailedCheck, passedAllTests);
if (byteCount < 0)
{
rentedBuffer = ThreadStaticPools.BytePool.Rent(256);
int minimumSize = Math.Max((divisorText.Length + 5) * 4, 256);
rentedBuffer = ThreadStaticPools.BytePool.Rent(minimumSize);
utf8Span = rentedBuffer;
byteCount = TryFormatResultLine(utf8Span, currentP, searchedMersenne, detailedCheck, passedAllTests);
byteCount = TryFormatResultLine(utf8Span, currentP, divisorText, searchedMersenne, detailedCheck, passedAllTests);
if (byteCount < 0)
{
ThreadStaticPools.BytePool.Return(rentedBuffer);
@@ -116,7 +143,7 @@ internal static class CalculationResultHandler
}
ReadOnlySpan<byte> utf8Line = utf8Span[..byteCount];
Span<char> charBuffer = stackalloc char[128];
Span<char> charBuffer = stackalloc char[256];
int charCount = Utf8Encoding.GetChars(utf8Line, charBuffer);
ReadOnlySpan<char> recordSpan = charBuffer[..charCount];
@@ -231,7 +258,7 @@ internal static class CalculationResultHandler
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static int TryFormatResultLine(Span<byte> destination, ulong currentP, bool searchedMersenne, bool detailedCheck, bool passedAllTests)
private static int TryFormatResultLine(Span<byte> destination, ulong currentP, ReadOnlySpan<char> divisorText, bool searchedMersenne, bool detailedCheck, bool passedAllTests)
{
int offset = 0;
@@ -248,6 +275,17 @@ internal static class CalculationResultHandler
destination[offset++] = (byte)',';
int divisorByteCount = Utf8Encoding.GetByteCount(divisorText);
if (offset + divisorByteCount >= destination.Length)
{
return -1;
}
divisorByteCount = Utf8Encoding.GetBytes(divisorText, destination[offset..]);
offset += divisorByteCount;
destination[offset++] = (byte)',';
if (!Utf8Formatter.TryFormat(searchedMersenne, destination[offset..], out written))
{
return -1;
@@ -1,5 +1,4 @@
using System.Globalization;
using System.IO;
namespace EvenPerfectBitScanner.Candidates;
@@ -1,8 +1,8 @@
using System.Runtime.CompilerServices;
using System.Threading;
using Open.Numeric.Primes;
using PerfectNumbers.Core;
using EvenPerfectBitScanner.Candidates.Transforms;
using PerfectNumbers.Core.Gpu.Accelerators;
namespace EvenPerfectBitScanner.Candidates;
@@ -54,7 +54,7 @@ internal static class CandidatesCalculator
return trackers.Value!;
}
internal static bool IsCompositeByResidues(ulong p)
internal static bool IsCompositeByResiduesCpu(ulong p)
{
ModResidueTracker tracker = AcquireResidueTracker();
// Use ModResidueTracker with a small set of primes to pre-filter composite p.
@@ -72,7 +72,57 @@ internal static class CandidatesCalculator
break;
}
if (tracker.MergeOrAppend(p, primes[primeIndex], out bool divisible) && divisible)
if (tracker.MergeOrAppendCpu(p, primes[primeIndex], out bool divisible) && divisible)
{
return true;
}
}
return false;
}
internal static bool IsCompositeByResiduesGpu(PrimeOrderCalculatorAccelerator gpu, ulong p)
{
ModResidueTracker tracker = AcquireResidueTracker();
// Use ModResidueTracker with a small set of primes to pre-filter composite p.
tracker.BeginMerge(p);
// TODO: Integrate the divisor-cycle cache here so the small-prime sweep reuses precomputed remainders instead of
// running MergeOrAppend for every candidate and missing the cycle-accelerated early exits.
// Use the small prime list from PerfectNumbers.Core to the extent of sqrt(p)
var primes = PrimesGenerator.SmallPrimes;
var primesPow2 = PrimesGenerator.SmallPrimesPow2;
int len = primes.Length;
for (int primeIndex = 0; primeIndex < len; primeIndex++)
{
if (primesPow2[primeIndex] > p)
{
break;
}
if (tracker.MergeOrAppendGpu(gpu, p, primes[primeIndex], out bool divisible) && divisible)
{
return true;
}
}
return false;
}
internal static bool IsCompositeByResiduesHybrid(PrimeOrderCalculatorAccelerator gpu, ulong p)
{
ModResidueTracker tracker = AcquireResidueTracker();
tracker.BeginMerge(p);
var primes = PrimesGenerator.SmallPrimes;
var primesPow2 = PrimesGenerator.SmallPrimesPow2;
int len = primes.Length;
for (int primeIndex = 0; primeIndex < len; primeIndex++)
{
if (primesPow2[primeIndex] > p)
{
break;
}
if (tracker.MergeOrAppendHybrid(gpu, p, primes[primeIndex], out bool divisible) && divisible)
{
return true;
}
@@ -129,18 +179,15 @@ internal static class CandidatesCalculator
return candidates;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
internal static ulong AdvancePrime(ulong value, ref ulong remainder, ref bool limitReached)
{
return _transformMode switch
{
PrimeTransformMode.Bit => CandidateBitTransform.Transform(value, ref remainder, ref limitReached),
PrimeTransformMode.Add => CandidateAddTransform.Transform(value, ref remainder, ref limitReached),
_ => CandidateAddPrimesTransform.Transform(value, ref remainder, ref limitReached),
};
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
internal static ulong AdvancePrime(ulong value, ref ulong remainder, ref bool limitReached) => _transformMode switch
{
PrimeTransformMode.Bit => CandidateBitTransform.Transform(value, ref remainder, ref limitReached),
PrimeTransformMode.Add => CandidateAddTransform.Transform(value, ref remainder, ref limitReached),
_ => CandidateAddPrimesTransform.Transform(value, ref remainder, ref limitReached),
};
internal static int ReserveBlock(ulong[] buffer, int blockSize, ref bool limitReached)
internal static int ReserveBlock(ulong[] buffer, int blockSize, ref bool limitReached)
{
Span<ulong> bufferSpan = new(buffer);
@@ -1,6 +1,4 @@
using System.Runtime.CompilerServices;
using System.Threading;
using EvenPerfectBitScanner.Candidates;
using Open.Numeric.Primes;
namespace EvenPerfectBitScanner.Candidates.Transforms;
@@ -1,6 +1,4 @@
using System.Runtime.CompilerServices;
using System.Threading;
using EvenPerfectBitScanner.Candidates;
namespace EvenPerfectBitScanner.Candidates.Transforms;
@@ -1,5 +1,4 @@
using System.Runtime.CompilerServices;
using System.Threading;
namespace EvenPerfectBitScanner.Candidates.Transforms;
+291 -261
View File
@@ -1,4 +1,3 @@
using System;
using System.Globalization;
using System.Numerics;
using PerfectNumbers.Core;
@@ -6,6 +5,18 @@ using PerfectNumbers.Core.Gpu;
namespace EvenPerfectBitScanner;
internal enum ByDivisorKIncrementMode
{
Sequential,
Pow2Groups,
Predictive,
Percentile,
Additive,
TopDown,
BitContradiction,
BitTree,
}
internal readonly struct CliArguments
{
private const string DefaultCyclesPath = "divisor_cycles.bin";
@@ -26,14 +37,17 @@ internal readonly struct CliArguments
internal readonly bool UseResidue;
internal readonly bool UseDivisor;
internal readonly bool UseByDivisor;
internal readonly ByDivisorKIncrementMode ByDivisorKIncrementMode;
internal readonly int ByDivisorSpecialRange;
internal readonly bool UseGcdFilter;
internal readonly bool TestMode;
internal readonly bool UseGpuCycles;
internal readonly bool UseMersenneOnGpu;
internal readonly bool UseOrderOnGpu;
internal readonly ComputationDevice MersenneDevice;
internal readonly ComputationDevice OrderDevice;
internal readonly int ScanBatchSize;
internal readonly int SliceSize;
internal readonly ulong ResidueKMax;
internal readonly ulong MaxKLimit;
internal readonly bool MaxKConfigured;
internal readonly string FilterFile;
internal readonly bool ForcePrimeKernelsOnCpu;
internal readonly ModReductionMode ModReductionMode;
@@ -52,50 +66,57 @@ internal readonly struct CliArguments
internal readonly double ZeroFractionHard;
internal readonly double ZeroFractionConjecture;
internal readonly int MaxZeroConjecture;
internal readonly BigInteger MinK;
internal readonly int GpuRatio;
private CliArguments(
ulong startPrime,
bool startPrimeProvided,
UInt128 maxPrimeLimit,
bool maxPrimeConfigured,
int threadCount,
int blockSize,
int gpuPrimeThreads,
int gpuPrimeBatch,
GpuKernelType kernelType,
bool useOrder,
bool showHelp,
bool useBitTransform,
bool useLucas,
bool useResidue,
bool useDivisor,
bool useByDivisor,
bool useGcdFilter,
bool testMode,
bool useGpuCycles,
bool useMersenneOnGpu,
bool useOrderOnGpu,
int scanBatchSize,
int sliceSize,
ulong residueKMax,
string filterFile,
bool forcePrimeKernelsOnCpu,
ModReductionMode modReductionMode,
NttBackend nttBackend,
string? resultsDirectory,
string? resultsPrefix,
int writeBatchSize,
string cyclesPath,
bool continueCyclesGeneration,
int cyclesBatchSize,
ulong divisorCyclesSearchLimit,
ulong? orderWarmupLimitOverride,
string? rleBlacklistPath,
ulong rleHardMaxP,
bool rleOnlyLast7,
double zeroFractionHard,
double zeroFractionConjecture,
int maxZeroConjecture)
ulong startPrime,
bool startPrimeProvided,
UInt128 maxPrimeLimit,
bool maxPrimeConfigured,
int threadCount,
int blockSize,
int gpuPrimeThreads,
int gpuPrimeBatch,
GpuKernelType kernelType,
bool useOrder,
bool showHelp,
bool useBitTransform,
bool useLucas,
bool useResidue,
bool useDivisor,
bool useByDivisor,
bool useGcdFilter,
ByDivisorKIncrementMode byDivisorKIncrementMode,
int byDivisorSpecialRange,
bool testMode,
bool useGpuCycles,
ComputationDevice mersenneDevice,
ComputationDevice orderDevice,
int scanBatchSize,
int sliceSize,
ulong maxKLimit,
bool maxKConfigured,
string filterFile,
bool forcePrimeKernelsOnCpu,
ModReductionMode modReductionMode,
NttBackend nttBackend,
string? resultsDirectory,
string? resultsPrefix,
int writeBatchSize,
string cyclesPath,
bool continueCyclesGeneration,
int cyclesBatchSize,
ulong divisorCyclesSearchLimit,
ulong? orderWarmupLimitOverride,
string? rleBlacklistPath,
ulong rleHardMaxP,
bool rleOnlyLast7,
double zeroFractionHard,
double zeroFractionConjecture,
int maxZeroConjecture,
BigInteger minK,
int gpuRatio)
{
StartPrime = startPrime;
StartPrimeProvided = startPrimeProvided;
@@ -113,14 +134,17 @@ internal readonly struct CliArguments
UseResidue = useResidue;
UseDivisor = useDivisor;
UseByDivisor = useByDivisor;
ByDivisorKIncrementMode = byDivisorKIncrementMode;
ByDivisorSpecialRange = byDivisorSpecialRange;
UseGcdFilter = useGcdFilter;
TestMode = testMode;
UseGpuCycles = useGpuCycles;
UseMersenneOnGpu = useMersenneOnGpu;
UseOrderOnGpu = useOrderOnGpu;
MersenneDevice = mersenneDevice;
OrderDevice = orderDevice;
ScanBatchSize = scanBatchSize;
SliceSize = sliceSize;
ResidueKMax = residueKMax;
MaxKLimit = maxKLimit;
MaxKConfigured = maxKConfigured;
FilterFile = filterFile;
ForcePrimeKernelsOnCpu = forcePrimeKernelsOnCpu;
ModReductionMode = modReductionMode;
@@ -139,6 +163,8 @@ internal readonly struct CliArguments
ZeroFractionHard = zeroFractionHard;
ZeroFractionConjecture = zeroFractionConjecture;
MaxZeroConjecture = maxZeroConjecture;
MinK = minK;
GpuRatio = gpuRatio;
}
internal bool UseFilter => !TestMode && !string.IsNullOrEmpty(FilterFile);
@@ -161,14 +187,17 @@ internal readonly struct CliArguments
bool useResidue = false;
bool useDivisor = false;
bool useByDivisor = false;
ByDivisorKIncrementMode byDivisorKIncrementMode = ByDivisorKIncrementMode.Sequential;
int byDivisorSpecialRange = 0;
bool useGcdFilter = false;
bool testMode = false;
bool useGpuCycles = true;
bool useMersenneOnGpu = true;
bool useOrderOnGpu = true;
ComputationDevice mersenneDevice = ComputationDevice.Gpu;
ComputationDevice orderDevice = ComputationDevice.Gpu;
int scanBatchSize = 2_097_152;
int sliceSize = 32;
ulong residueKMax = 5_000_000UL;
ulong maxKLimit = 5_000_000UL;
bool maxKConfigured = false;
string filterFile = string.Empty;
bool forcePrimeKernelsOnCpu = false;
ModReductionMode modReductionMode = ModReductionMode.Auto;
@@ -187,6 +216,8 @@ internal readonly struct CliArguments
double zeroFractionHard = -1.0;
double zeroFractionConjecture = -1.0;
int maxZeroConjecture = -1;
BigInteger minK = BigInteger.One;
int gpuRatio = PerfectNumberConstants.GpuRatio;
foreach (string argument in args)
{
@@ -202,14 +233,15 @@ internal readonly struct CliArguments
if (argument.StartsWith("--prime=", StringComparison.OrdinalIgnoreCase))
{
startPrime = Utf8CliParser.ParseUInt64(argument.AsSpan(argument.IndexOf('=') + 1));
ReadOnlySpan<char> primeValue = argument.AsSpan("--prime=".Length);
startPrime = Utf8CliParser.ParseUInt64(primeValue);
startPrimeProvided = true;
continue;
}
if (argument.StartsWith("--max-prime=", StringComparison.OrdinalIgnoreCase))
{
ReadOnlySpan<char> value = argument.AsSpan(argument.IndexOf('=') + 1);
ReadOnlySpan<char> value = argument.AsSpan("--max-prime=".Length);
if (UInt128.TryParse(value, NumberStyles.None, CultureInfo.InvariantCulture, out UInt128 parsedMaxPrime))
{
maxPrimeLimit = parsedMaxPrime;
@@ -236,15 +268,34 @@ internal readonly struct CliArguments
continue;
}
if (argument.StartsWith("--gpu-ratio=", StringComparison.OrdinalIgnoreCase))
{
gpuRatio = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan("--gpu-ratio=".Length)));
continue;
}
if (argument.StartsWith("--threads=", StringComparison.OrdinalIgnoreCase))
{
threadCount = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan(argument.IndexOf('=') + 1)));
threadCount = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan("--threads=".Length)));
continue;
}
if (argument.Equals("--use-order", StringComparison.OrdinalIgnoreCase))
{
useOrder = true;
continue;
}
if (argument.StartsWith("--max-k=", StringComparison.OrdinalIgnoreCase))
{
maxKLimit = Utf8CliParser.ParseUInt64(argument.AsSpan("--max-k=".Length));
maxKConfigured = true;
continue;
}
if (argument.StartsWith("--mersenne=", StringComparison.OrdinalIgnoreCase))
{
ReadOnlySpan<char> value = argument.AsSpan(argument.IndexOf('=') + 1);
ReadOnlySpan<char> value = argument.AsSpan("--mersenne=".Length);
if (value.Equals("pow2mod", StringComparison.OrdinalIgnoreCase))
{
kernelType = GpuKernelType.Pow2Mod;
@@ -279,51 +330,48 @@ internal readonly struct CliArguments
continue;
}
if (argument.StartsWith("--divisor-cycles-limit=", StringComparison.OrdinalIgnoreCase))
if (argument.StartsWith("--bydivisor-k-increment=", StringComparison.OrdinalIgnoreCase))
{
if (Utf8CliParser.TryParseUInt64(argument.AsSpan(argument.IndexOf('=') + 1), out ulong parsedLimit))
ReadOnlySpan<char> value = argument.AsSpan("--bydivisor-k-increment=".Length);
if (value.Equals("pow2groups", StringComparison.OrdinalIgnoreCase))
{
divisorCyclesSearchLimit = parsedLimit;
byDivisorKIncrementMode = ByDivisorKIncrementMode.Pow2Groups;
}
else if (value.Equals("predictive", StringComparison.OrdinalIgnoreCase))
{
byDivisorKIncrementMode = ByDivisorKIncrementMode.Predictive;
}
else if (value.Equals("percentile", StringComparison.OrdinalIgnoreCase))
{
byDivisorKIncrementMode = ByDivisorKIncrementMode.Percentile;
}
else if (value.Equals("additive", StringComparison.OrdinalIgnoreCase))
{
byDivisorKIncrementMode = ByDivisorKIncrementMode.Additive;
}
else if (value.Equals("topdown", StringComparison.OrdinalIgnoreCase))
{
byDivisorKIncrementMode = ByDivisorKIncrementMode.TopDown;
}
else if (value.Equals("bitcontradiction", StringComparison.OrdinalIgnoreCase))
{
byDivisorKIncrementMode = ByDivisorKIncrementMode.BitContradiction;
}
else if (value.Equals("bittree", StringComparison.OrdinalIgnoreCase))
{
byDivisorKIncrementMode = ByDivisorKIncrementMode.BitTree;
}
else
{
byDivisorKIncrementMode = ByDivisorKIncrementMode.Sequential;
}
continue;
}
if (argument.StartsWith("--residue-max-k=", StringComparison.OrdinalIgnoreCase))
if (argument.StartsWith("--bydivisor-special-range=", StringComparison.OrdinalIgnoreCase))
{
if (Utf8CliParser.TryParseUInt64(argument.AsSpan(argument.IndexOf('=') + 1), out ulong parsedResidueMax))
{
residueKMax = parsedResidueMax;
}
continue;
}
if (argument.StartsWith("--mersenne-device=", StringComparison.OrdinalIgnoreCase))
{
useMersenneOnGpu = !argument.AsSpan(argument.IndexOf('=') + 1).Equals("cpu", StringComparison.OrdinalIgnoreCase);
continue;
}
if (argument.Equals("--test", StringComparison.OrdinalIgnoreCase))
{
testMode = true;
continue;
}
if (argument.Equals("--use-order", StringComparison.OrdinalIgnoreCase))
{
useOrder = true;
continue;
}
if (argument.StartsWith("--order-warmup-limit=", StringComparison.OrdinalIgnoreCase))
{
if (Utf8CliParser.TryParseUInt64(argument.AsSpan(argument.IndexOf('=') + 1), out ulong parsedLimit))
{
orderWarmupLimitOverride = parsedLimit;
}
byDivisorSpecialRange = Utf8CliParser.ParseInt32(argument.AsSpan("--bydivisor-special-range=".Length));
continue;
}
@@ -333,17 +381,71 @@ internal readonly struct CliArguments
continue;
}
if (argument.StartsWith("--ntt=", StringComparison.OrdinalIgnoreCase))
if (argument.Equals("--test-mode", StringComparison.OrdinalIgnoreCase))
{
ReadOnlySpan<char> value = argument.AsSpan(argument.IndexOf('=') + 1);
nttBackend = value.Equals("staged", StringComparison.OrdinalIgnoreCase) ? NttBackend.Staged : NttBackend.Reference;
testMode = true;
continue;
}
if (argument.StartsWith("--mersenne-device=", StringComparison.OrdinalIgnoreCase))
{
mersenneDevice = ParseDevice(argument.AsSpan("--mersenne-device=".Length));
continue;
}
if (argument.StartsWith("--primes=", StringComparison.OrdinalIgnoreCase) ||
argument.StartsWith("--gpu-kernels=", StringComparison.OrdinalIgnoreCase) ||
argument.StartsWith("--accelerator=", StringComparison.OrdinalIgnoreCase))
{
ReadOnlySpan<char> value = argument.Contains('=') ? argument.AsSpan(argument.IndexOf('=') + 1) : argument.AsSpan();
forcePrimeKernelsOnCpu = value.Equals("cpu", StringComparison.OrdinalIgnoreCase);
continue;
}
if (argument.StartsWith("--order-device=", StringComparison.OrdinalIgnoreCase))
{
orderDevice = ParseDevice(argument.AsSpan("--order-device=".Length));
continue;
}
if (argument.StartsWith("--gpu-prime-batch=", StringComparison.OrdinalIgnoreCase))
{
gpuPrimeBatch = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan("--gpu-prime-batch=".Length)));
continue;
}
if (argument.StartsWith("--gpu-prime-threads=", StringComparison.OrdinalIgnoreCase))
{
gpuPrimeThreads = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan("--gpu-prime-threads=".Length)));
continue;
}
if (argument.StartsWith("--ll-slice=", StringComparison.OrdinalIgnoreCase))
{
sliceSize = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan("--ll-slice=".Length)));
continue;
}
if (argument.StartsWith("--gpu-scan-batch=", StringComparison.OrdinalIgnoreCase))
{
scanBatchSize = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan("--gpu-scan-batch=".Length)));
continue;
}
if (argument.StartsWith("--block-size=", StringComparison.OrdinalIgnoreCase))
{
blockSize = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan("--block-size=".Length)));
continue;
}
if (argument.StartsWith("--mod-reduction=", StringComparison.OrdinalIgnoreCase))
{
ReadOnlySpan<char> value = argument.AsSpan(argument.IndexOf('=') + 1);
if (value.Equals("mont64", StringComparison.OrdinalIgnoreCase))
ReadOnlySpan<char> value = argument.AsSpan("--mod-reduction=".Length);
if (value.Equals("uint128", StringComparison.OrdinalIgnoreCase))
{
modReductionMode = ModReductionMode.GpuUInt128;
}
else if (value.Equals("mont64", StringComparison.OrdinalIgnoreCase))
{
modReductionMode = ModReductionMode.Mont64;
}
@@ -351,10 +453,6 @@ internal readonly struct CliArguments
{
modReductionMode = ModReductionMode.Barrett128;
}
else if (value.Equals("uint128", StringComparison.OrdinalIgnoreCase))
{
modReductionMode = ModReductionMode.GpuUInt128;
}
else
{
modReductionMode = ModReductionMode.Auto;
@@ -363,203 +461,116 @@ internal readonly struct CliArguments
continue;
}
if (argument.StartsWith("--primes-device=", StringComparison.OrdinalIgnoreCase))
if (argument.StartsWith("--ntt=", StringComparison.OrdinalIgnoreCase))
{
forcePrimeKernelsOnCpu = argument.AsSpan(argument.IndexOf('=') + 1).Equals("cpu", StringComparison.OrdinalIgnoreCase);
ReadOnlySpan<char> value = argument.AsSpan("--ntt=".Length);
nttBackend = value.Equals("staged", StringComparison.OrdinalIgnoreCase) ? NttBackend.Staged : NttBackend.Reference;
continue;
}
if (argument.StartsWith("--order-device=", StringComparison.OrdinalIgnoreCase))
if (argument.StartsWith("--order-warmup-limit=", StringComparison.OrdinalIgnoreCase))
{
useOrderOnGpu = !argument.AsSpan(argument.IndexOf('=') + 1).Equals("cpu", StringComparison.OrdinalIgnoreCase);
orderWarmupLimitOverride = Utf8CliParser.ParseUInt64(argument.AsSpan("--order-warmup-limit=".Length));
continue;
}
if (argument.StartsWith("--rle-blacklist=", StringComparison.OrdinalIgnoreCase))
if (argument.StartsWith("--divisor-cycles-limit=", StringComparison.OrdinalIgnoreCase))
{
rleBlacklistPath = argument[(argument.IndexOf('=') + 1)..];
divisorCyclesSearchLimit = Utf8CliParser.ParseUInt64(argument.AsSpan("--divisor-cycles-limit=".Length));
continue;
}
if (argument.StartsWith("--rle-hard-max=", StringComparison.OrdinalIgnoreCase))
if (argument.StartsWith("--min-k=", StringComparison.OrdinalIgnoreCase))
{
if (Utf8CliParser.TryParseUInt64(argument.AsSpan(argument.IndexOf('=') + 1), out ulong parsedMax))
{
rleHardMaxP = parsedMax;
}
continue;
}
if (argument.StartsWith("--rle-only-last7=", StringComparison.OrdinalIgnoreCase))
{
ReadOnlySpan<char> value = argument.AsSpan(argument.IndexOf('=') + 1);
rleOnlyLast7 = !value.Equals("false", StringComparison.OrdinalIgnoreCase) && !value.Equals("0", StringComparison.OrdinalIgnoreCase);
continue;
}
if (argument.StartsWith("--zero-hard=", StringComparison.OrdinalIgnoreCase))
{
if (Utf8CliParser.TryParseDouble(argument.AsSpan(argument.IndexOf('=') + 1), out double zeroFraction))
{
zeroFractionHard = zeroFraction;
}
continue;
}
if (argument.StartsWith("--zero-conj=", StringComparison.OrdinalIgnoreCase))
{
ReadOnlySpan<char> value = argument.AsSpan(argument.IndexOf('=') + 1);
int colon = value.IndexOf(':');
if (colon > 0)
{
if (Utf8CliParser.TryParseDouble(value[..colon], out double zeroFrac) &&
Utf8CliParser.TryParseInt32(value[(colon + 1)..], out int maxZero))
{
zeroFractionConjecture = zeroFrac;
maxZeroConjecture = maxZero;
}
}
continue;
}
if (argument.StartsWith("--lucas=", StringComparison.OrdinalIgnoreCase))
{
useMersenneOnGpu = !argument.AsSpan(argument.IndexOf('=') + 1).Equals("cpu", StringComparison.OrdinalIgnoreCase);
continue;
}
if (argument.StartsWith("--primes=", StringComparison.OrdinalIgnoreCase) ||
argument.StartsWith("--gpu-kernels=", StringComparison.OrdinalIgnoreCase) ||
argument.StartsWith("--accelerator=", StringComparison.OrdinalIgnoreCase))
{
forcePrimeKernelsOnCpu = argument.AsSpan(argument.IndexOf('=') + 1).Equals("cpu", StringComparison.OrdinalIgnoreCase);
continue;
}
if (argument.StartsWith("--results-dir=", StringComparison.OrdinalIgnoreCase))
{
resultsDirectory = argument[(argument.IndexOf('=') + 1)..];
continue;
}
if (argument.StartsWith("--results-prefix=", StringComparison.OrdinalIgnoreCase))
{
resultsPrefix = argument[(argument.IndexOf('=') + 1)..];
continue;
}
if (argument.StartsWith("--gpu-prime-threads=", StringComparison.OrdinalIgnoreCase))
{
gpuPrimeThreads = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan(argument.IndexOf('=') + 1)));
continue;
}
if (argument.StartsWith("--gpu-prime-batch=", StringComparison.OrdinalIgnoreCase))
{
gpuPrimeBatch = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan(argument.IndexOf('=') + 1)));
continue;
}
if (argument.StartsWith("--ll-slice=", StringComparison.OrdinalIgnoreCase))
{
sliceSize = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan(argument.IndexOf('=') + 1)));
continue;
}
if (argument.StartsWith("--gpu-scan-batch=", StringComparison.OrdinalIgnoreCase))
{
scanBatchSize = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan(argument.IndexOf('=') + 1)));
continue;
}
if (argument.StartsWith("--block-size=", StringComparison.OrdinalIgnoreCase))
{
blockSize = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan(argument.IndexOf('=') + 1)));
minK = BigInteger.Parse(argument.AsSpan("--min-k=".Length), NumberStyles.None, CultureInfo.InvariantCulture);
continue;
}
if (argument.StartsWith("--filter-p=", StringComparison.OrdinalIgnoreCase))
{
filterFile = argument[(argument.IndexOf('=') + 1)..];
filterFile = argument["--filter-p=".Length..];
continue;
}
if (argument.StartsWith("--write-batch-size=", StringComparison.OrdinalIgnoreCase))
{
writeBatchSize = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan(argument.IndexOf('=') + 1)));
writeBatchSize = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan("--write-batch-size=".Length)));
continue;
}
if (argument.StartsWith("--divisor-cycles=", StringComparison.OrdinalIgnoreCase))
{
cyclesPath = argument[(argument.IndexOf('=') + 1)..];
cyclesPath = argument["--divisor-cycles=".Length..];
continue;
}
if (argument.StartsWith("--divisor-cycles-device=", StringComparison.OrdinalIgnoreCase))
{
useGpuCycles = !argument.AsSpan(argument.IndexOf('=') + 1).Equals("cpu", StringComparison.OrdinalIgnoreCase);
useGpuCycles = !argument.AsSpan("--divisor-cycles-device=".Length).Equals("cpu", StringComparison.OrdinalIgnoreCase);
continue;
}
if (argument.StartsWith("--divisor-cycles-batch=", StringComparison.OrdinalIgnoreCase))
{
cyclesBatchSize = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan(argument.IndexOf('=') + 1)));
cyclesBatchSize = Math.Max(1, Utf8CliParser.ParseInt32(argument.AsSpan("--divisor-cycles-batch=".Length)));
continue;
}
if (argument.Equals("--divisor-cycles-continue", StringComparison.OrdinalIgnoreCase))
{
continueCyclesGeneration = true;
continue;
}
}
return new CliArguments(
startPrime,
startPrimeProvided,
maxPrimeLimit,
maxPrimeConfigured,
threadCount,
blockSize,
gpuPrimeThreads,
gpuPrimeBatch,
kernelType,
useOrder,
showHelp,
useBitTransform,
useLucas,
useResidue,
useDivisor,
useByDivisor,
useGcdFilter,
testMode,
useGpuCycles,
useMersenneOnGpu,
useOrderOnGpu,
scanBatchSize,
sliceSize,
residueKMax,
filterFile,
forcePrimeKernelsOnCpu,
modReductionMode,
nttBackend,
resultsDirectory,
resultsPrefix,
writeBatchSize,
cyclesPath,
continueCyclesGeneration,
cyclesBatchSize,
divisorCyclesSearchLimit,
orderWarmupLimitOverride,
rleBlacklistPath,
rleHardMaxP,
rleOnlyLast7,
zeroFractionHard,
zeroFractionConjecture,
maxZeroConjecture);
startPrime,
startPrimeProvided,
maxPrimeLimit,
maxPrimeConfigured,
threadCount,
blockSize,
gpuPrimeThreads,
gpuPrimeBatch,
kernelType,
useOrder,
showHelp,
useBitTransform,
useLucas,
useResidue,
useDivisor,
useByDivisor,
useGcdFilter,
byDivisorKIncrementMode,
byDivisorSpecialRange,
testMode,
useGpuCycles,
mersenneDevice,
orderDevice,
scanBatchSize,
sliceSize,
maxKLimit,
maxKConfigured,
filterFile,
forcePrimeKernelsOnCpu,
modReductionMode,
nttBackend,
resultsDirectory,
resultsPrefix,
writeBatchSize,
cyclesPath,
continueCyclesGeneration,
cyclesBatchSize,
divisorCyclesSearchLimit,
orderWarmupLimitOverride,
rleBlacklistPath,
rleHardMaxP,
rleOnlyLast7,
zeroFractionHard,
zeroFractionConjecture,
maxZeroConjecture,
minK,
gpuRatio);
}
internal static void PrintHelp()
@@ -567,22 +578,25 @@ internal readonly struct CliArguments
Console.WriteLine("Usage: EvenPerfectBitScanner [options]");
Console.WriteLine();
Console.WriteLine("Options:");
Console.WriteLine(" --block-size=<value> values processed per thread batch");
Console.WriteLine(" --prime=<value> starting exponent (p)");
Console.WriteLine(" --max-prime=<value> inclusive upper bound for primes from filter files");
Console.WriteLine(" --increment=bit|add exponent increment method");
Console.WriteLine(" --increment=bit|add exponent increment method (default add)");
Console.WriteLine(" --threads=<value> number of worker threads");
Console.WriteLine(" --block-size=<value> values processed per thread batch");
Console.WriteLine(" --mersenne=pow2mod|incremental|lucas|residue|divisor|bydivisor Mersenne test method");
Console.WriteLine(" --residue-max-k=<value> max k for residue Mersenne test (q = 2*p*k + 1)");
Console.WriteLine(" --mersenne-device=cpu|gpu Device for Mersenne method (default gpu)");
Console.WriteLine(" --primes-device=cpu|gpu Device for prime-scan kernels (default gpu)");
Console.WriteLine(" --gpu-prime-batch=<n> Batch size for GPU primality sieve (default 262144)");
Console.WriteLine(" --order-device=cpu|gpu Device for order computations (default gpu)");
Console.WriteLine(" --ntt=reference|staged GPU NTT backend (default staged)");
Console.WriteLine(" --mod-reduction=auto|uint128|mont64|barrett128 staged NTT reduction (default auto)");
Console.WriteLine(" --bydivisor-k-increment=sequential|pow2groups|predictive|percentile|additive|topdown|bitcontradiction|bittree k iteration strategy for --mersenne=bydivisor (default sequential)");
Console.WriteLine(" --bydivisor-special-range=<n> widen pow2groups special values to +/- n percent (default 0 = points)");
Console.WriteLine(" --max-k=<value> max k for Mersenne tests (q = 2*p*k + 1), including --mersenne=bydivisor");
Console.WriteLine(" --mersenne-device=cpu|gpu|hybrid Device for Mersenne method (default gpu)");
Console.WriteLine(" --primes-device=cpu|gpu device for prime-scan kernels (default gpu)");
Console.WriteLine($" --gpu-ratio=<n> ratio of GPU operations vs CPU in hybrid device mode (default {PerfectNumberConstants.GpuRatio})");
Console.WriteLine(" --gpu-prime-threads=<value> max concurrent GPU prime checks (default 1)");
Console.WriteLine(" --ll-slice=<value> Lucas–Lehmer iterations per slice (default 32)");
Console.WriteLine(" --gpu-prime-batch=<n> batch size for GPU primality sieve (default 262144)");
Console.WriteLine(" --gpu-scan-batch=<value> GPU q-scan batch size (default 2_097_152)");
Console.WriteLine(" --order-device=cpu|gpu|hybrid Device for order computations (default gpu)");
Console.WriteLine(" --ll-slice=<value> Lucas–Lehmer iterations per slice (default 32)");
Console.WriteLine(" --mod-reduction=auto|uint128|mont64|barrett128 staged NTT reduction (default auto)");
Console.WriteLine(" --ntt=reference|staged GPU NTT backend (default staged)");
Console.WriteLine(" --order-warmup-limit=<value> Warm-up order candidates (default 5_000_000)");
Console.WriteLine(" --rle-blacklist=<path> enable RLE blacklist for p (hard filter up to --rle-hard-max)");
Console.WriteLine(" --rle-hard-max=<p> apply RLE blacklist only for p <= this (default ulong.MaxValue = no limit)");
@@ -600,6 +614,22 @@ internal readonly struct CliArguments
Console.WriteLine(" --filter-p=<path> process only p from previous run results (required for --mersenne=bydivisor)");
Console.WriteLine(" --write-batch-size=<value> overwrite frequency of disk writes (default 100 lines)");
Console.WriteLine(" --gcd-filter enable early sieve based on GCD");
Console.WriteLine(" --min-k=<value> starting k for --mersenne=bydivisor divisor scan (default 1)");
Console.WriteLine(" --help, -help, --?, -?, /? show this help message");
}
private static ComputationDevice ParseDevice(ReadOnlySpan<char> value)
{
if (value.Equals("cpu", StringComparison.OrdinalIgnoreCase))
{
return ComputationDevice.Cpu;
}
if (value.Equals("hybrid", StringComparison.OrdinalIgnoreCase))
{
return ComputationDevice.Hybrid;
}
return ComputationDevice.Gpu;
}
}
@@ -13,7 +13,16 @@
</AssemblyAttribute>
</ItemGroup>
<ItemGroup>
<PackageReference Include="Microsoft.ML" Version="3.0.1" />
<PackageReference Include="Microsoft.ML.FastTree" Version="3.0.1" />
<PackageReference Include="Microsoft.ML.LightGbm" Version="3.0.1" />
<PackageReference Include="Open.Numeric" Version="3.0.1" />
<PackageReference Include="Open.Numeric.Primes" Version="4.0.4" />
<PackageReference Include="Plotly.NET" Version="3.0.1" />
</ItemGroup>
</Project>
<ItemGroup Label="MLModel1">
<None Include="MLModel1.mlnet">
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
</None>
</ItemGroup>
</Project>
@@ -1,7 +1,6 @@
using Open.Collections;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu;
using EvenPerfectBitScanner;
namespace EvenPerfectBitScanner.IO;
@@ -14,7 +13,7 @@ internal static class CalculationResultsFile
using FileStream readStream = new(candidateFile, FileMode.Open, FileAccess.Read, FileShare.ReadWrite);
using StreamReader reader = new(readStream);
string? line;
ReadOnlySpan<char> span;
ReadOnlySpan<char> trimmed;
while ((line = reader.ReadLine()) is not null)
{
if (string.IsNullOrWhiteSpace(line))
@@ -22,36 +21,67 @@ internal static class CalculationResultsFile
continue;
}
span = line.AsSpan().Trim();
if (span.IsEmpty || span[0] == '#')
trimmed = line.AsSpan().Trim();
if (trimmed.IsEmpty || trimmed[0] == '#')
{
continue;
}
int length = trimmed.Length;
int index = 0;
while (index < span.Length)
if (!maxPrimeConfigured)
{
if (!char.IsDigit(span[index]))
while (index < length)
{
index++;
continue;
}
char current = trimmed[index];
uint digit = (uint)(current - '0');
if (digit > 9U)
{
index++;
continue;
}
int start = index;
index++;
while (index < span.Length && char.IsDigit(span[index]))
{
index++;
}
int start = index++;
while (index < length && (uint)(trimmed[index] - '0') <= 9U)
{
index++;
}
if (Utf8CliParser.TryParseUInt64(span[start..index], out ulong parsed))
{
if (!maxPrimeConfigured || (UInt128)parsed <= maxPrimeLimit)
if (Utf8CliParser.TryParseUInt64(trimmed[start..index], out ulong parsed))
{
candidates.Add(parsed);
}
else
}
}
else
{
UInt128 limit = maxPrimeLimit;
while (index < length)
{
char current = trimmed[index];
uint digit = (uint)(current - '0');
if (digit > 9U)
{
skippedByLimit++;
index++;
continue;
}
int start = index++;
while (index < length && (uint)(trimmed[index] - '0') <= 9U)
{
index++;
}
if (Utf8CliParser.TryParseUInt64(trimmed[start..index], out ulong parsed))
{
if ((UInt128)parsed <= limit)
{
candidates.Add(parsed);
}
else
{
skippedByLimit++;
}
}
}
}
@@ -70,6 +100,7 @@ internal static class CalculationResultsFile
int first = 0;
int second = 0;
int third = 0;
int fourth = 0;
ulong parsedP = 0UL;
ReadOnlySpan<char> detailedSpan = default;
ReadOnlySpan<char> passedAllTestsSpan = default;
@@ -109,8 +140,15 @@ internal static class CalculationResultsFile
continue;
}
detailedSpan = span[..third];
passedAllTestsSpan = span[(third + 1)..];
span = span[(third + 1)..];
fourth = span.IndexOf(',');
if (fourth < 0)
{
continue;
}
detailedSpan = span[..fourth];
passedAllTestsSpan = span[(fourth + 1)..];
if (Utf8CliParser.TryParseBoolean(detailedSpan, out detailed) && Utf8CliParser.TryParseBoolean(passedAllTestsSpan, out passedAllTests))
{
@@ -0,0 +1,103 @@
// This file was auto-generated by ML.NET Model Builder.
using Microsoft.ML;
using Microsoft.ML.Data;
using System;
using System.Linq;
using System.IO;
using System.Collections.Generic;
namespace EvenPerfectBitScanner
{
public partial class MLModel1
{
/// <summary>
/// model input class for MLModel1.
/// </summary>
#region model input class
public class ModelInput
{
[LoadColumn(0)]
[ColumnName(@"p")]
public float P { get; set; }
[LoadColumn(1)]
[ColumnName(@"divisor")]
public float Divisor { get; set; }
[LoadColumn(2)]
[ColumnName(@"lastDigit")]
public float LastDigit { get; set; }
[LoadColumn(3)]
[ColumnName(@"k")]
public float K { get; set; }
[LoadColumn(4)]
[ColumnName(@"lastMersenneDigit")]
public float LastMersenneDigit { get; set; }
[LoadColumn(5)]
[ColumnName(@"isNextKHigher")]
public float IsNextKHigher { get; set; }
}
#endregion
/// <summary>
/// model output class for MLModel1.
/// </summary>
#region model output class
public class ModelOutput
{
[ColumnName(@"p")]
public float P { get; set; }
[ColumnName(@"divisor")]
public float Divisor { get; set; }
[ColumnName(@"lastDigit")]
public float LastDigit { get; set; }
[ColumnName(@"k")]
public float K { get; set; }
[ColumnName(@"lastMersenneDigit")]
public float LastMersenneDigit { get; set; }
[ColumnName(@"isNextKHigher")]
public float IsNextKHigher { get; set; }
[ColumnName(@"Features")]
public float[] Features { get; set; }
[ColumnName(@"Score")]
public float Score { get; set; }
}
#endregion
private static string MLNetModelPath = Path.GetFullPath("MLModel1.mlnet");
public static readonly Lazy<PredictionEngine<ModelInput, ModelOutput>> PredictEngine = new Lazy<PredictionEngine<ModelInput, ModelOutput>>(() => CreatePredictEngine(), true);
private static PredictionEngine<ModelInput, ModelOutput> CreatePredictEngine()
{
var mlContext = new MLContext();
ITransformer mlModel = mlContext.Model.Load(MLNetModelPath, out var _);
return mlContext.Model.CreatePredictionEngine<ModelInput, ModelOutput>(mlModel);
}
/// <summary>
/// Use this method to predict on <see cref="ModelInput"/>.
/// </summary>
/// <param name="input">model input.</param>
/// <returns><seealso cref=" ModelOutput"/></returns>
public static ModelOutput Predict(ModelInput input)
{
var predEngine = PredictEngine.Value;
return predEngine.Predict(input);
}
}
}
+125
View File
@@ -0,0 +1,125 @@
// This file was auto-generated by ML.NET Model Builder.
using Microsoft.ML.Data;
using Microsoft.ML;
using System;
using System.Collections.Generic;
using System.Linq;
using Plotly.NET;
using Plotly.NET.LayoutObjects;
namespace EvenPerfectBitScanner
{
public partial class MLModel1
{
/// <summary>
/// Permutation feature importance (PFI) is a technique to determine the importance
/// of features in a trained machine learning model. PFI works by taking a labeled dataset,
/// choosing a feature, and permuting the values for that feature across all the examples,
/// so that each example now has a random value for the feature and the original values for all other features.
/// The evaluation metric (e.g. R-squared) is then calculated for this modified dataset,
/// and the change in the evaluation metric from the original dataset is computed.
/// The larger the change in the evaluation metric, the more important the feature is to the model.
///
/// PFI typically takes a long time to compute, as the evaluation metric is calculated
/// many times to determine the importance of each feature.
///
/// </summary>
/// <param name="mlContext">The common context for all ML.NET operations.</param>
/// <param name="trainData">IDataView used to evaluate the model.</param>
/// <param name="model">Model to evaluate.</param>
/// <param name="labelColumnName">Label column being predicted.</param>
/// <returns>A list of each feature and its importance.</returns>
public static List<Tuple<string, double>> CalculatePFI(MLContext mlContext, IDataView trainData, ITransformer model, string labelColumnName)
{
var preprocessedTrainData = model.Transform(trainData);
var permutationFeatureImportance =
mlContext.Regression
.PermutationFeatureImportance(
model,
preprocessedTrainData,
labelColumnName: labelColumnName);
var featureImportanceMetrics =
permutationFeatureImportance
.Select((kvp) => new { kvp.Key, kvp.Value.RSquared })
.OrderByDescending(myFeatures => Math.Abs(myFeatures.RSquared.Mean));
var featurePFI = new List<Tuple<string, double>>();
foreach (var feature in featureImportanceMetrics)
{
var pfiValue = Math.Abs(feature.RSquared.Mean);
featurePFI.Add(new Tuple<string, double>(feature.Key, pfiValue));
}
return featurePFI;
}
/// <summary>
/// R Squared is a measure of variation between the values predicted by the model and the true values.
/// In a "perfect" model, there would be no variation between predictions and true values.
///
/// Here we will plot the predicted values vs the true values for the trained model. This RegressionChart.html
/// is then saved to the location specified by <param name="folderPath"></param>.
///
/// See more information on R Squared at https://en.wikipedia.org/wiki/Coefficient_of_determination.
/// </summary>
/// <param name="trainData">IDataView used to train the model.</param>
/// <param name="model">Model used for predictions.</param>
/// <param name="labelColumnName">Name of the predicted label column.</param>
/// <param name="folderPath">Folder path to save the RegressionChart.html file into.</param>
public static void PlotRSquaredValues(IDataView trainData, ITransformer model, string labelColumnName, string folderPath)
{
// Number of rows to display in charts.
int numberOfRows = 1000;
// Use the model to make batch predictions on training data
var testResults = model.Transform(trainData);
// Get the actual values from the dataset
var trueValues = testResults.GetColumn<float>(labelColumnName).Take(numberOfRows); ;
// Get the predicted values from the test results
var predictedValues = testResults.GetColumn<float>("Score").Take(numberOfRows);
// Setup what the graph looks like
var title = Title.init(Text: "R-Squared Plot");
var layout = Layout.init<IConvertible>(Title: title, PlotBGColor: Plotly.NET.Color.fromString("#e5ecf6"));
var xAxis = LinearAxis.init<IConvertible, IConvertible, IConvertible, IConvertible, IConvertible, IConvertible>(
Title: Title.init("True Values"),
ZeroLineColor: Plotly.NET.Color.fromString("#ffff"),
GridColor: Plotly.NET.Color.fromString("#ffff"),
ZeroLineWidth: 2);
var yAxis = LinearAxis.init<IConvertible, IConvertible, IConvertible, IConvertible, IConvertible, IConvertible>(
Title: Title.init("Predicted Values"),
ZeroLineColor: Plotly.NET.Color.fromString("#ffff"),
GridColor: Plotly.NET.Color.fromString("#ffff"),
ZeroLineWidth: 2);
// We will plot the line that shows the perfect result. Setup that line here.
var maximumValue = Math.Max(trueValues.Max(), predictedValues.Max());
var perfectX = new[] { 0, maximumValue };
var perfectY = new[] { 0, maximumValue };
// Create the scatterplot that shows the true values vs the predicted values
var trueAndPredictedValues = Chart2D.Chart.Scatter<float, float, string>(x: trueValues, y: predictedValues, mode: StyleParam.Mode.Markers)
.WithLayout(layout)
.WithXAxis(xAxis)
.WithYAxis(yAxis);
// Setup the line that shows what a perfect prediction would look like
var perfectLineGraph = Chart2D.Chart.Line<float, float, string>(x: perfectX, y: perfectY)
.WithLayout(layout)
.WithLine(Line.init(Width: 1.5));
var chartWithValuesAndIdealLine = Chart.Combine(new[] { trueAndPredictedValues, perfectLineGraph });
var chartFilePath = folderPath + "\\RegressionChart.html";
chartWithValuesAndIdealLine.SaveHtml(chartFilePath);
}
}
}
+337
View File
@@ -0,0 +1,337 @@
{
"Scenario": "Regression",
"DataSource": {
"Version": 3,
"EscapeCharacter": "\"",
"ReadMultiLines": false,
"KeepDiacritics": false,
"KeepPunctuations": false,
"AllowQuoting": false,
"Type": "TabularFile",
"FilePath": "C:\\Users\\marek\\source\\repos\\even-perfect-numbers-scanner\\BuildDivisorTransitions\\bin\\Release\\net8.0\\NextKForecastTraning.csv",
"Delimiter": ",",
"DecimalMarker": ".",
"HasHeader": true,
"ColumnProperties": [
{
"ColumnName": "p",
"ColumnPurpose": "Feature",
"ColumnDataFormat": "Single",
"IsCategorical": false,
"Type": "Column",
"Version": 5
},
{
"ColumnName": "divisor",
"ColumnPurpose": "Feature",
"ColumnDataFormat": "Single",
"IsCategorical": false,
"Type": "Column",
"Version": 5
},
{
"ColumnName": "lastDigit",
"ColumnPurpose": "Feature",
"ColumnDataFormat": "Single",
"IsCategorical": true,
"Type": "Column",
"Version": 5
},
{
"ColumnName": "k",
"ColumnPurpose": "Feature",
"ColumnDataFormat": "Single",
"IsCategorical": false,
"Type": "Column",
"Version": 5
},
{
"ColumnName": "lastMersenneDigit",
"ColumnPurpose": "Feature",
"ColumnDataFormat": "Single",
"IsCategorical": true,
"Type": "Column",
"Version": 5
},
{
"ColumnName": "isNextKHigher",
"ColumnPurpose": "Label",
"ColumnDataFormat": "Single",
"IsCategorical": true,
"Type": "Column",
"Version": 5
}
]
},
"Environment": {
"Type": "LocalCPU",
"Version": 1
},
"RunHistory": {
"Version": 3,
"Type": "Result",
"Trials": [
{
"Version": 1,
"Type": "Trial",
"TrainerName": "FastTreeRegression",
"Score": 0.30006118613190746,
"RuntimeInSeconds": 1.489,
"Parameter": {
"_SCHEMA_": "e0 * e1 * e2",
"e0": {
"OutputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
],
"InputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
]
},
"e1": {
"InputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
],
"OutputColumnName": "Features"
},
"e2": {
"NumberOfLeaves": 4,
"MinimumExampleCountPerLeaf": 9,
"NumberOfTrees": 8,
"MaximumBinCountPerFeature": 317,
"FeatureFraction": 0.98434331463123226,
"LearningRate": 0.3857390791447961,
"LabelColumnName": "isNextKHigher",
"FeatureColumnName": "Features",
"DiskTranspose": false
}
}
},
{
"Version": 1,
"Type": "Trial",
"TrainerName": "FastTreeRegression",
"Score": 0.299969238277351,
"RuntimeInSeconds": 1.496,
"Parameter": {
"_SCHEMA_": "e0 * e1 * e2",
"e0": {
"OutputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
],
"InputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
]
},
"e1": {
"InputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
],
"OutputColumnName": "Features"
},
"e2": {
"NumberOfLeaves": 4,
"MinimumExampleCountPerLeaf": 9,
"NumberOfTrees": 8,
"MaximumBinCountPerFeature": 317,
"FeatureFraction": 0.98444606904931908,
"LearningRate": 0.38567641892007121,
"LabelColumnName": "isNextKHigher",
"FeatureColumnName": "Features",
"DiskTranspose": false
}
}
},
{
"Version": 1,
"Type": "Trial",
"TrainerName": "FastTreeRegression",
"Score": 0.29992424440705012,
"RuntimeInSeconds": 0.993,
"Parameter": {
"_SCHEMA_": "e0 * e1 * e2",
"e0": {
"OutputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
],
"InputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
]
},
"e1": {
"InputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
],
"OutputColumnName": "Features"
},
"e2": {
"NumberOfLeaves": 4,
"MinimumExampleCountPerLeaf": 9,
"NumberOfTrees": 8,
"MaximumBinCountPerFeature": 317,
"FeatureFraction": 0.98445819026817927,
"LearningRate": 0.38613186537816252,
"LabelColumnName": "isNextKHigher",
"FeatureColumnName": "Features",
"DiskTranspose": false
}
}
},
{
"Version": 1,
"Type": "Trial",
"TrainerName": "FastTreeRegression",
"Score": 0.29992046748552242,
"RuntimeInSeconds": 1.389,
"Parameter": {
"_SCHEMA_": "e0 * e1 * e2",
"e0": {
"OutputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
],
"InputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
]
},
"e1": {
"InputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
],
"OutputColumnName": "Features"
},
"e2": {
"NumberOfLeaves": 4,
"MinimumExampleCountPerLeaf": 9,
"NumberOfTrees": 8,
"MaximumBinCountPerFeature": 317,
"FeatureFraction": 0.984395476164661,
"LearningRate": 0.3858463322510558,
"LabelColumnName": "isNextKHigher",
"FeatureColumnName": "Features",
"DiskTranspose": false
}
}
},
{
"Version": 1,
"Type": "Trial",
"TrainerName": "FastTreeRegression",
"Score": 0.29984566377505206,
"RuntimeInSeconds": 1.512,
"Parameter": {
"_SCHEMA_": "e0 * e1 * e2",
"e0": {
"OutputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
],
"InputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
]
},
"e1": {
"InputColumnNames": [
"p",
"divisor",
"lastDigit",
"k",
"lastMersenneDigit"
],
"OutputColumnName": "Features"
},
"e2": {
"NumberOfLeaves": 4,
"MinimumExampleCountPerLeaf": 8,
"NumberOfTrees": 8,
"MaximumBinCountPerFeature": 317,
"FeatureFraction": 0.98439134546037266,
"LearningRate": 0.38521733136295422,
"LabelColumnName": "isNextKHigher",
"FeatureColumnName": "Features",
"DiskTranspose": false
}
}
}
],
"Estimators": {
"e0": "ReplaceMissingValues",
"e1": "Concatenate",
"e2": "FastTreeRegression",
"e3": "FastForestRegression",
"e4": "LightGbmRegression",
"e5": "LbfgsPoissonRegressionRegression",
"e6": "SdcaRegression"
},
"Schema": "e0 * e1 * (e2 + e3 + e4 + e5 + e6)",
"MetricName": "RSquared",
"ModelFilePath": "C:\\Users\\marek\\source\\repos\\even-perfect-numbers-scanner\\EvenPerfectBitScanner\\MLModel1.mlnet"
},
"Type": "TrainingConfig",
"Version": 5,
"TrainingOption": {
"Version": 2,
"Subsampling": false,
"Type": "RegressionTrainingOption",
"TrainingTime": 3600,
"LabelColumn": "isNextKHigher",
"ValidationOption": {
"Version": 0,
"Type": "CrossValidationValidationOption",
"NumberOfFolds": 10
}
}
}
Binary file not shown.
+100
View File
@@ -0,0 +1,100 @@
// This file was auto-generated by ML.NET Model Builder.
using System;
using System.IO;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Microsoft.ML;
using Microsoft.ML.Data;
using Microsoft.ML.Trainers;
using Microsoft.ML.Trainers.FastTree;
namespace EvenPerfectBitScanner
{
public partial class MLModel1
{
public const string RetrainFilePath = @"C:\Users\marek\source\repos\even-perfect-numbers-scanner\BuildDivisorTransitions\bin\Release\net8.0\NextKForecastTraning.csv";
public const char RetrainSeparatorChar = ',';
public const bool RetrainHasHeader = true;
public const bool RetrainAllowQuoting = false;
/// <summary>
/// Train a new model with the provided dataset.
/// </summary>
/// <param name="outputModelPath">File path for saving the model. Should be similar to "C:\YourPath\ModelName.mlnet"</param>
/// <param name="inputDataFilePath">Path to the data file for training.</param>
/// <param name="separatorChar">Separator character for delimited training file.</param>
/// <param name="hasHeader">Boolean if training file has a header.</param>
public static void Train(string outputModelPath, string inputDataFilePath = RetrainFilePath, char separatorChar = RetrainSeparatorChar, bool hasHeader = RetrainHasHeader, bool allowQuoting = RetrainAllowQuoting)
{
var mlContext = new MLContext();
var data = LoadIDataViewFromFile(mlContext, inputDataFilePath, separatorChar, hasHeader, allowQuoting);
var model = RetrainModel(mlContext, data);
SaveModel(mlContext, model, data, outputModelPath);
}
/// <summary>
/// Load an IDataView from a file path.
/// </summary>
/// <param name="mlContext">The common context for all ML.NET operations.</param>
/// <param name="inputDataFilePath">Path to the data file for training.</param>
/// <param name="separatorChar">Separator character for delimited training file.</param>
/// <param name="hasHeader">Boolean if training file has a header.</param>
/// <returns>IDataView with loaded training data.</returns>
public static IDataView LoadIDataViewFromFile(MLContext mlContext, string inputDataFilePath, char separatorChar, bool hasHeader, bool allowQuoting)
{
return mlContext.Data.LoadFromTextFile<ModelInput>(inputDataFilePath, separatorChar, hasHeader, allowQuoting: allowQuoting);
}
/// <summary>
/// Save a model at the specified path.
/// </summary>
/// <param name="mlContext">The common context for all ML.NET operations.</param>
/// <param name="model">Model to save.</param>
/// <param name="data">IDataView used to train the model.</param>
/// <param name="modelSavePath">File path for saving the model. Should be similar to "C:\YourPath\ModelName.mlnet.</param>
public static void SaveModel(MLContext mlContext, ITransformer model, IDataView data, string modelSavePath)
{
// Pull the data schema from the IDataView used for training the model
DataViewSchema dataViewSchema = data.Schema;
using (var fs = File.Create(modelSavePath))
{
mlContext.Model.Save(model, dataViewSchema, fs);
}
}
/// <summary>
/// Retrain model using the pipeline generated as part of the training process.
/// </summary>
/// <param name="mlContext"></param>
/// <param name="trainData"></param>
/// <returns></returns>
public static ITransformer RetrainModel(MLContext mlContext, IDataView trainData)
{
var pipeline = BuildPipeline(mlContext);
var model = pipeline.Fit(trainData);
return model;
}
/// <summary>
/// build the pipeline that is used from model builder. Use this function to retrain model.
/// </summary>
/// <param name="mlContext"></param>
/// <returns></returns>
public static IEstimator<ITransformer> BuildPipeline(MLContext mlContext)
{
// Data process configuration with pipeline data transformations
var pipeline = mlContext.Transforms.ReplaceMissingValues(new []{new InputOutputColumnPair(@"p", @"p"),new InputOutputColumnPair(@"divisor", @"divisor"),new InputOutputColumnPair(@"lastDigit", @"lastDigit"),new InputOutputColumnPair(@"k", @"k"),new InputOutputColumnPair(@"lastMersenneDigit", @"lastMersenneDigit")})
.Append(mlContext.Transforms.Concatenate(@"Features", new []{@"p",@"divisor",@"lastDigit",@"k",@"lastMersenneDigit"}))
.Append(mlContext.Regression.Trainers.FastTree(new FastTreeRegressionTrainer.Options(){NumberOfLeaves=4,MinimumExampleCountPerLeaf=9,NumberOfTrees=8,MaximumBinCountPerFeature=317,FeatureFraction=0.9843433146312323,LearningRate=0.3857390791447961,LabelColumnName=@"isNextKHigher",FeatureColumnName=@"Features",DiskTranspose=false}));
return pipeline;
}
}
}
File diff suppressed because it is too large. Load diff
+15 -1
View File
@@ -1,4 +1,3 @@
using System;
using System.Buffers;
using System.Buffers.Text;
using System.Text;
@@ -30,11 +29,26 @@ internal static class Utf8CliParser
return result;
}
public static uint ParseUInt32(ReadOnlySpan<char> value)
{
if (!TryParseUInt32(value, out uint result))
{
ThrowFormatException(value);
}
return result;
}
public static bool TryParseUInt64(ReadOnlySpan<char> value, out ulong result)
{
return TryParse(value, static (ReadOnlySpan<byte> source, out ulong parsed, out int consumed) => Utf8Parser.TryParse(source, out parsed, out consumed), out result);
}
public static bool TryParseUInt32(ReadOnlySpan<char> value, out uint result)
{
return TryParse(value, static (ReadOnlySpan<byte> source, out uint parsed, out int consumed) => Utf8Parser.TryParse(source, out parsed, out consumed), out result);
}
public static bool TryParseInt32(ReadOnlySpan<char> value, out int result)
{
return TryParse(value, static (ReadOnlySpan<byte> source, out int parsed, out int consumed) => Utf8Parser.TryParse(source, out parsed, out consumed), out result);
+99 -4
View File
@@ -1,4 +1,5 @@
Microsoft Visual Studio Solution File, Format Version 12.00
Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio Version 17
VisualStudioVersion = 17.0.31903.59
MinimumVisualStudioVersion = 10.0.40219.1
@@ -14,38 +15,132 @@ Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "EvenPerfectBitScanner.Resul
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "EvenPerfectBitScanner.Benchmarks", "EvenPerfectBitScanner.Benchmarks\EvenPerfectBitScanner.Benchmarks.csproj", "{83551FCC-41FA-4162-B541-AFCB5666A29F}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "BuildDivisorTransitions", "BuildDivisorTransitions\BuildDivisorTransitions.csproj", "{0A936837-5082-4C0B-AC3B-840AD2E11057}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "DeviceDependentGenerator", "DeviceDependentGenerator\DeviceDependentGenerator.csproj", "{E900CE3B-0DA4-4D7A-B825-851D6227ED67}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "DeviceDependentGenerator.Tests", "DeviceDependentGenerator.Tests\DeviceDependentGenerator.Tests.csproj", "{2C632996-9606-4CB5-B046-38AB91D6F6DC}"
EndProject
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Release|x86 = Release|x86
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EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
EndGlobalSection
EndGlobal
@@ -0,0 +1,78 @@
using System.Numerics;
using FluentAssertions;
using PerfectNumbers.Core.ByDivisor;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class BitContradictionIntegrationTests
{
// 2^11 - 1 = 2047 = 23 * 89
[Fact]
public void BitContradictionAcceptsKnownDivisorWithDecision()
{
BigInteger divisor = 23;
ulong p = 11;
bool decided = Invoke(divisor, p, out bool divides);
decided.Should().BeTrue("small p should be decided exactly");
divides.Should().BeTrue();
}
[Fact]
public void BitContradictionRejectsEvenDivisorQuickly()
{
BigInteger divisor = 24;
ulong p = 11;
bool decided = Invoke(divisor, p, out bool divides);
decided.Should().BeTrue();
divides.Should().BeFalse();
}
[Fact]
public void BitContradictionRejectsTooLongDivisor()
{
// q bit length >= p => impossible
BigInteger divisor = (BigInteger.One << 15) + 1;
ulong p = 11;
bool decided = Invoke(divisor, p, out bool divides);
decided.Should().BeTrue();
divides.Should().BeFalse();
}
[Fact]
public void BitContradictionRejectsNonDivisorWithDecision()
{
// 2^11 - 1 is not divisible by 25
BigInteger divisor = 25;
ulong p = 11;
bool decided = Invoke(divisor, p, out bool divides);
decided.Should().BeTrue("small p should be decided exactly");
divides.Should().BeFalse();
}
private static bool Invoke(BigInteger divisor, ulong p, out bool divides)
{
int bitLen = GetBitLength(divisor);
Span<int> offsets = stackalloc int[bitLen];
int count = 0;
for (int i = 0; i < bitLen; i++)
{
if (((divisor >> i) & BigInteger.One) == BigInteger.One)
{
offsets[count++] = i;
}
}
return BitContradictionSolverWithAMultiplier.TryCheckDivisibilityFromOneOffsets(offsets[..count], p, out divides);
}
private static int GetBitLength(BigInteger value)
{
if (value.IsZero)
{
return 0;
}
return (int)Math.Floor(BigInteger.Log(value, 2.0)) + 1;
}
}
@@ -0,0 +1,51 @@
using FluentAssertions;
using PerfectNumbers.Core.ByDivisor;
using Xunit;
using static PerfectNumbers.Core.ByDivisor.BitContradictionSolverWithAMultiplier;
namespace PerfectNumbers.Core.Tests;
public class BitContradictionSolverTests
{
[Fact]
public void ComputeColumnBounds_TracksForcedAndPossibleOnes()
{
bool[] a = [true, false];
bool[] q = [true, true];
ColumnBounds bounds = ComputeColumnBounds(a, q, 1);
bounds.ForcedOnes.Should().Be(1);
bounds.PossibleOnes.Should().Be(1);
}
[Fact]
public void TryPropagateCarry_FailsWhenParityUnreachable()
{
CarryRange carry = CarryRange.Single(0);
bool success = TryPropagateCarry(
currentCarry: ref carry,
forcedOnes: 0,
possibleOnes: 0,
requiredResultBit: 1);
success.Should().BeFalse();
carry.Min.Should().Be(0);
carry.Max.Should().Be(0);
}
[Fact]
public void TryPropagateCarry_ComputesNextCarryRange()
{
CarryRange carry = new(0, 1);
bool success = TryPropagateCarry(
currentCarry: ref carry,
forcedOnes: 1,
possibleOnes: 3,
requiredResultBit: 1);
success.Should().BeTrue();
carry.Min.Should().Be(0);
carry.Max.Should().Be(1);
}
}
@@ -0,0 +1,43 @@
using System.Numerics;
using FluentAssertions;
using PerfectNumbers.Core.Cpu;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class BitTreeSolverTests
{
[Fact]
public void BitTree_FindsKnownDivisor()
{
// 2^11-1 = 2047 = 23 * 89, so k=1 yields divisor 23.
var tester = new MersenneNumberDivisorByDivisorCpuTesterWithForBitTreeDivisorSetForCpuOrder
{
DivisorLimit = new BigInteger(1000),
MinK = BigInteger.One,
};
bool isPrime = tester.IsPrime(11, out bool exhausted, out BigInteger divisor);
isPrime.Should().BeFalse();
exhausted.Should().BeTrue();
divisor.Should().Be(23);
}
[Fact]
public void BitTree_ReportsPrimeWhenNoDivisorFound()
{
// 2^5-1 = 31 is prime.
var tester = new MersenneNumberDivisorByDivisorCpuTesterWithForBitTreeDivisorSetForCpuOrder
{
DivisorLimit = new BigInteger(10_000),
MinK = BigInteger.One,
};
bool isPrime = tester.IsPrime(5, out bool exhausted, out BigInteger divisor);
isPrime.Should().BeTrue();
exhausted.Should().BeTrue();
divisor.Should().Be(BigInteger.Zero);
}
}
@@ -0,0 +1,213 @@
using System;
using System.IO;
using System.Linq;
using System.Numerics;
using FluentAssertions;
using PerfectNumbers.Core.ByDivisor;
using Xunit;
using System.Text.Json;
namespace PerfectNumbers.Core.Tests;
public sealed class ByDivisorClassModelTests
{
[Fact]
public void LoadOrBuild_builds_model_from_results_file()
{
string tempPath = Path.GetTempFileName();
try
{
File.WriteAllLines(
tempPath,
new[]
{
"p,divisor,searchedMersenne,detailedCheck,passedAllTests",
"5,31,true,true,false",
"5,0,true,true,true",
"13,8191,true,true,false",
});
string modelPath = tempPath + ".model";
ByDivisorScanTuning tuning = new()
{
CheapLimit = 32,
};
ByDivisorClassModel model = ByDivisorClassModelLoader.LoadOrBuild(modelPath, tempPath, tuning, tuning.CheapLimit);
ByDivisorClassEntry classFive = model.Entries[5];
classFive.K50.Should().Be(3d);
classFive.K75.Should().Be(3d);
classFive.GapProbability.Should().BeApproximately(0.5d, 1e-12);
classFive.SampleCount.Should().Be(2);
classFive.GapCount.Should().Be(1);
ByDivisorClassEntry classThirteen = model.Entries[13];
classThirteen.K50.Should().Be(315d);
classThirteen.K75.Should().Be(315d);
classThirteen.GapProbability.Should().Be(0d);
}
finally
{
TryDelete(tempPath);
TryDelete(tempPath + ".model");
}
}
[Fact]
public void BuildPlan_uses_aggressive_tuning_for_hard_class()
{
var model = new ByDivisorClassModel
{
CheapLimit = 50,
};
model.Entries[0] = new ByDivisorClassEntry
{
K50 = 1000d,
K75 = 2000d,
GapProbability = 0.8d,
Stability = "escaping",
};
ByDivisorScanTuning tuning = new()
{
CheapLimit = 50,
Gamma50 = 0.8d,
Gamma75 = 1.2d,
AggressiveGamma50 = 1.0d,
AggressiveGamma75 = 1.4d,
Rho1 = 1.35d,
Rho2 = 1.6d,
AggressiveRho2 = 1.8d,
HardGapThreshold = 0.75d,
};
ByDivisorScanPlan plan = model.BuildPlan(2UL, BigInteger.Zero, tuning);
plan.CheapLimit.Should().Be(50d);
plan.Start.Should().Be(1000d);
plan.Target.Should().Be(2800d);
plan.Rho1.Should().Be(1.35d);
plan.Rho2.Should().Be(1.8d);
}
[Fact]
public void BuildPlan_exposes_percentiles_and_additive_delta()
{
var model = new ByDivisorClassModel
{
CheapLimit = 10_000,
};
var entries = new ByDivisorClassEntry[1024];
entries[0] = new ByDivisorClassEntry
{
K10 = 10d,
K25 = 20d,
K50 = 30d,
K75 = 40d,
GapProbability = 0.1d,
Stability = "stable",
};
model.Entries = entries;
ByDivisorScanTuning tuning = ByDivisorScanTuning.Default;
ByDivisorScanPlan plan = model.BuildPlan(0UL, BigInteger.Zero, tuning);
plan.K10.Should().Be(10d);
plan.K25.Should().Be(20d);
plan.K50.Should().Be(30d);
plan.K75.Should().Be(40d);
plan.Start.Should().Be(24d); // ceil(0.8 * 30)
plan.Target.Should().Be(48d); // ceil(1.2 * 40)
plan.DeltaK.Should().Be(4d); // ceil(24 * 0.15)
}
[Fact]
public void BuildPlan_clamps_all_ranges_to_allowed_max()
{
var model = new ByDivisorClassModel
{
CheapLimit = 1000d,
};
var entries = new ByDivisorClassEntry[1024];
entries[0] = new ByDivisorClassEntry
{
K10 = 50d,
K25 = 60d,
K50 = 70d,
K75 = 80d,
GapProbability = 0.1d,
};
model.Entries = entries;
ByDivisorScanTuning tuning = ByDivisorScanTuning.Default;
// allowedMax = 41 => maxKAllowed = (41-1)/(2*5) = 4
ByDivisorScanPlan plan = model.BuildPlan(5UL, new BigInteger(41), tuning);
plan.CheapLimit.Should().Be(4d);
plan.K10.Should().Be(4d);
plan.K25.Should().Be(4d);
plan.K50.Should().Be(4d);
plan.K75.Should().Be(4d);
plan.Start.Should().Be(4d);
plan.Target.Should().Be(4d);
plan.DeltaK.Should().Be(4d);
}
[Fact]
public void LoadOrBuild_rebuilds_when_results_newer_than_model()
{
string tempResults = Path.GetTempFileName();
string tempModel = tempResults + ".model";
try
{
File.WriteAllLines(
tempResults,
new[]
{
"p,divisor,searchedMersenne,detailedCheck,passedAllTests",
"5,31,true,true,false",
});
// Write a stale model
var staleModel = new ByDivisorClassModel
{
CheapLimit = 10,
};
File.WriteAllText(tempModel, JsonSerializer.Serialize(staleModel));
File.SetLastWriteTimeUtc(tempModel, DateTime.UtcNow.AddMinutes(-10));
File.SetLastWriteTimeUtc(tempResults, DateTime.UtcNow);
ByDivisorScanTuning tuning = new()
{
CheapLimit = 32,
};
ByDivisorClassModel model = ByDivisorClassModelLoader.LoadOrBuild(tempModel, tempResults, tuning, tuning.CheapLimit);
model.Entries[5].K50.Should().Be(3d);
File.GetLastWriteTimeUtc(tempModel).Should().BeAfter(File.GetLastWriteTimeUtc(tempResults).AddSeconds(-2));
}
finally
{
TryDelete(tempResults);
TryDelete(tempModel);
}
}
private static void TryDelete(string path)
{
try
{
if (File.Exists(path))
{
File.Delete(path);
}
}
catch
{
// ignore cleanup failure in tests
}
}
}
@@ -1,7 +1,3 @@
using FluentAssertions;
using ILGPU;
using ILGPU.Runtime;
using PerfectNumbers.Core.Gpu;
using Xunit;
namespace PerfectNumbers.Core.Tests.Gpu;
@@ -9,88 +5,88 @@ namespace PerfectNumbers.Core.Tests.Gpu;
[Collection("GpuNtt")]
public class GpuContextPoolTests
{
[Fact]
[Trait("Category", "Fast")]
public void RentPreferred_cpu_returns_cpu_accelerator()
{
GpuContextPool.DisposeAll();
// [Fact]
// [Trait("Category", "Fast")]
// public void RentPreferred_cpu_returns_cpu_accelerator()
// {
// GpuContextPool.DisposeAll();
GpuContextPool.GpuContextLease lease = GpuContextPool.RentPreferred(preferCpu: true);
try
{
lease.Accelerator.AcceleratorType.Should().Be(AcceleratorType.CPU);
}
finally
{
lease.Dispose();
}
// GpuContextPool.GpuContextLease lease = GpuContextPool.RentPreferred(preferCpu: true);
// try
// {
// lease.Accelerator.AcceleratorType.Should().Be(AcceleratorType.CPU);
// }
// finally
// {
// lease.Dispose();
// }
GpuContextPool.DisposeAll();
}
// GpuContextPool.DisposeAll();
// }
[Fact]
[Trait("Category", "Fast")]
public void RentPreferred_reuses_cpu_context()
{
GpuContextPool.DisposeAll();
// [Fact]
// [Trait("Category", "Fast")]
// public void RentPreferred_reuses_cpu_context()
// {
// GpuContextPool.DisposeAll();
Context firstContext;
Accelerator firstAccelerator;
GpuContextPool.GpuContextLease lease = GpuContextPool.RentPreferred(preferCpu: true);
try
{
firstContext = lease.Context;
firstAccelerator = lease.Accelerator;
}
finally
{
lease.Dispose();
}
// Context firstContext;
// Accelerator firstAccelerator;
// GpuContextPool.GpuContextLease lease = GpuContextPool.RentPreferred(preferCpu: true);
// try
// {
// firstContext = lease.Context;
// firstAccelerator = lease.Accelerator;
// }
// finally
// {
// lease.Dispose();
// }
lease = GpuContextPool.RentPreferred(preferCpu: true);
try
{
lease.Context.Should().BeSameAs(firstContext);
lease.Accelerator.Should().BeSameAs(firstAccelerator);
}
finally
{
lease.Dispose();
}
// lease = GpuContextPool.RentPreferred(preferCpu: true);
// try
// {
// lease.Context.Should().BeSameAs(firstContext);
// lease.Accelerator.Should().BeSameAs(firstAccelerator);
// }
// finally
// {
// lease.Dispose();
// }
GpuContextPool.DisposeAll();
}
// GpuContextPool.DisposeAll();
// }
[Fact]
[Trait("Category", "Fast")]
public void DisposeAll_clears_pooled_contexts()
{
GpuContextPool.DisposeAll();
// [Fact]
// [Trait("Category", "Fast")]
// public void DisposeAll_clears_pooled_contexts()
// {
// GpuContextPool.DisposeAll();
Context firstContext;
GpuContextPool.GpuContextLease lease = GpuContextPool.RentPreferred(preferCpu: true);
try
{
firstContext = lease.Context;
}
finally
{
lease.Dispose();
}
// Context firstContext;
// GpuContextPool.GpuContextLease lease = GpuContextPool.RentPreferred(preferCpu: true);
// try
// {
// firstContext = lease.Context;
// }
// finally
// {
// lease.Dispose();
// }
GpuContextPool.DisposeAll();
// GpuContextPool.DisposeAll();
lease = GpuContextPool.RentPreferred(preferCpu: true);
try
{
lease.Context.Should().NotBeSameAs(firstContext);
}
finally
{
lease.Dispose();
}
// lease = GpuContextPool.RentPreferred(preferCpu: true);
// try
// {
// lease.Context.Should().NotBeSameAs(firstContext);
// }
// finally
// {
// lease.Dispose();
// }
GpuContextPool.DisposeAll();
}
// GpuContextPool.DisposeAll();
// }
}
@@ -1,8 +1,9 @@
using System.Reflection;
using FluentAssertions;
using ILGPU;
using ILGPU.Runtime;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
using PerfectNumbers.Core.Gpu.Kernels;
using Xunit;
namespace PerfectNumbers.Core.Tests.Gpu;
@@ -114,14 +115,10 @@ public class GpuKernelCompilationTests
typeof(PrimeOrderGpuHeuristics).GetMethod("GetPow2ModKernel", BindingFlags.NonPublic | BindingFlags.Static)
?? throw new InvalidOperationException("PrimeOrderGpuHeuristics.GetPow2ModKernel not found.");
private static readonly MethodInfo PrimeOrderGetPow2ModWideKernelMethod =
typeof(PrimeOrderGpuHeuristics).GetMethod("GetPow2ModWideKernel", BindingFlags.NonPublic | BindingFlags.Static)
?? throw new InvalidOperationException("PrimeOrderGpuHeuristics.GetPow2ModWideKernel not found.");
private static readonly Action<Index1D, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>> MersenneDivisorCyclesKernel =
DivisorCycleKernels.GpuDivisorCycleKernel;
private static readonly Action<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<byte>> PrimeTesterSmallPrimeKernel =
private static readonly Action<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>> PrimeTesterSmallPrimeKernel =
PrimeTesterKernels.SmallPrimeSieveKernel;
private static readonly Action<Index1D, ArrayView<ulong>, ArrayView<byte>> PrimeTesterSharesFactorKernel =
@@ -167,23 +164,23 @@ public class GpuKernelCompilationTests
return new object[] { name, loader };
}
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(KernelLoaders))]
public void Kernel_compiles_without_internal_compiler_errors(string name, Action<Accelerator> compile)
{
GpuContextPool.GpuContextLease lease = GpuContextPool.RentPreferred(preferCpu: true);
try
{
var accelerator = lease.Accelerator;
Action action = () => compile(accelerator);
action.Should().NotThrow($"kernel {name} should compile");
}
finally
{
lease.Dispose();
}
}
// [Theory]
// [Trait("Category", "Fast")]
// [MemberData(nameof(KernelLoaders))]
// public void Kernel_compiles_without_internal_compiler_errors(string name, Action<Accelerator> compile)
// {
// GpuContextPool.GpuContextLease lease = GpuContextPool.RentPreferred(preferCpu: true);
// try
// {
// var accelerator = lease.Accelerator;
// Action action = () => compile(accelerator);
// action.Should().NotThrow($"kernel {name} should compile");
// }
// finally
// {
// lease.Dispose();
// }
// }
private static void CompileDivisorCycleCacheKernel(Accelerator accelerator)
{
@@ -325,56 +322,67 @@ public class GpuKernelCompilationTests
private static void CompilePrimeOrderPow2ModWideKernel(Accelerator accelerator)
{
_ = PrimeOrderGetPow2ModWideKernelMethod.Invoke(null, new object[] { accelerator });
var kernel = accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView1D<GpuUInt128, Stride1D.Dense>, GpuUInt128, ArrayView1D<GpuUInt128, Stride1D.Dense>>(PrimeOrderKernels.Pow2ModKernelWide);
_ = kernel;
}
private static void CompileMersenneDivisorCyclesKernel(Accelerator accelerator)
{
var kernel = accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>(MersenneDivisorCyclesKernel);
var kernel = accelerator.LoadAutoGroupedStreamKernel(MersenneDivisorCyclesKernel);
_ = kernel;
}
private static void CompilePrimeTesterSmallPrimeKernel(Accelerator accelerator)
{
var kernel = accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<byte>>(PrimeTesterSmallPrimeKernel);
var kernel = accelerator.LoadAutoGroupedStreamKernel(PrimeTesterSmallPrimeKernel);
_ = kernel;
}
private static void CompilePrimeTesterSharesFactorKernel(Accelerator accelerator)
{
var kernel = accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<ulong>, ArrayView<byte>>(PrimeTesterSharesFactorKernel);
var kernel = accelerator.LoadAutoGroupedStreamKernel(PrimeTesterSharesFactorKernel);
_ = kernel;
}
private static void CompileGpuKernelPoolKernels(Accelerator accelerator)
{
_ = accelerator;
var lease = GpuKernelPool.GetKernel(useGpuOrder: false);
try
{
_ = lease.OrderKernel;
_ = lease.IncrementalKernel;
_ = lease.Pow2ModKernel;
_ = lease.IncrementalOrderKernel;
_ = lease.Pow2ModOrderKernel;
}
finally
{
lease.Dispose();
}
private static KernelType _kernelType = KernelType.Pow2ModKernelScan | KernelType.OrderKernelScan | KernelType.IncrementalKernelScan | KernelType.IncrementalOrderKernelScan | KernelType.Pow2ModOrderKernelScan;
private static void CompileGpuKernelPoolKernels(Accelerator accelerator)
{
var orderLease = GpuKernelPool.GetKernel(useGpuOrder: true);
try
{
_ = orderLease.OrderKernel;
_ = orderLease.IncrementalKernel;
_ = orderLease.Pow2ModKernel;
_ = orderLease.IncrementalOrderKernel;
_ = orderLease.Pow2ModOrderKernel;
}
finally
{
orderLease.Dispose();
}
}
GpuPrimeWorkLimiter.Acquire();
int acceleratorIndex = AcceleratorPool.Shared.Rent();
AcceleratorStream stream = AcceleratorStreamPool.Rent(acceleratorIndex);
try
{
var kernels = GpuKernelPool.GetOrAddKernels(acceleratorIndex, stream, _kernelType);
_ = kernels.Order;
_ = kernels.Incremental;
_ = kernels.Pow2Mod;
_ = kernels.IncrementalOrder;
_ = kernels.Pow2ModOrder;
}
finally
{
stream.Synchronize();
AcceleratorStreamPool.Return(acceleratorIndex, stream);
// GpuPrimeWorkLimiter.Release();
}
stream = AcceleratorStreamPool.Rent(acceleratorIndex);
GpuPrimeWorkLimiter.Acquire();
try
{
var kernels = GpuKernelPool.GetOrAddKernels(acceleratorIndex, stream, _kernelType);
_ = kernels.Order;
_ = kernels.Incremental;
_ = kernels.Pow2Mod;
_ = kernels.IncrementalOrder;
_ = kernels.Pow2ModOrder;
}
finally
{
stream.Synchronize();
AcceleratorStreamPool.Return(acceleratorIndex, stream);
// GpuPrimeWorkLimiter.Release();
}
}
}
@@ -18,22 +18,33 @@ public class GpuPrimeLimiterTests
var startedSecond = new TaskCompletionSource<bool>();
var sw = new Stopwatch();
using var first = GpuPrimeWorkLimiter.Acquire();
GpuPrimeWorkLimiter.Acquire();
sw.Start();
var secondTask = Task.Run(() =>
{
using var second = GpuPrimeWorkLimiter.Acquire();
startedSecond.TrySetResult(true);
GpuPrimeWorkLimiter.Acquire();
try
{
startedSecond.TrySetResult(true);
}
finally
{
GpuPrimeWorkLimiter.Release();
}
});
// Give secondTask a moment to attempt acquire (it should block).
await Task.Delay(50);
startedSecond.Task.IsCompleted.Should().BeFalse();
// Release first after short delay, allowing second to continue.
// (Dispose at scope end, but we want to end now.)
first.Dispose();
try
{
// Give secondTask a moment to attempt acquire (it should block).
await Task.Delay(50);
startedSecond.Task.IsCompleted.Should().BeFalse();
}
finally
{
// Release first after the initial wait so the second task can proceed.
GpuPrimeWorkLimiter.Release();
}
await secondTask.WaitAsync(TimeSpan.FromSeconds(1));
sw.Stop();
@@ -1,5 +1,6 @@
using FluentAssertions;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests.Gpu;
@@ -7,59 +8,91 @@ namespace PerfectNumbers.Core.Tests.Gpu;
[Trait("Category", "Slow")]
public class LucasLehmerPrimeTesterTests
{
[Theory]
[InlineData(3UL, true)]
[InlineData(5UL, true)]
[InlineData(11UL, false)]
[Trait("Category", "Fast")]
public void IsMersennePrime_gpu_returns_expected_results(ulong p, bool expected)
{
new MersenneNumberLucasLehmerGpuTester().IsMersennePrime(p).Should().Be(expected);
}
[Theory]
[InlineData(3UL, true)]
[InlineData(5UL, true)]
[InlineData(11UL, false)]
[Trait("Category", "Fast")]
public void IsMersennePrime_gpu_returns_expected_results(ulong p, bool expected)
{
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
new MersenneNumberLucasLehmerGpuTester().IsPrime(gpu, p, true).Should().Be(expected);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Fact]
[Trait("Category", "Fast")]
public void IsMersennePrime_gpu_large_exponent_without_cpu_fallback()
{
// Use a modest exponent that still exercises the NTT path while keeping
// runtime short enough for the unit test environment.
const ulong exponent = 128UL;
var tester = new MersenneNumberLucasLehmerGpuTester();
tester.WarmUpNttParameters(exponent);
tester.IsMersennePrime(exponent).Should().BeFalse();
}
[Fact]
[Trait("Category", "Fast")]
public void IsMersennePrime_gpu_large_exponent_without_cpu_fallback()
{
// Use a modest exponent that still exercises the NTT path while keeping
// runtime short enough for the unit test environment.
const ulong exponent = 128UL;
var tester = new MersenneNumberLucasLehmerGpuTester();
tester.WarmUpNttParameters(exponent);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.IsPrime(gpu, exponent, true).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Fact]
[Trait("Category", "Fast")]
public void IsMersennePrimeBatch_matches_individual()
{
ulong[] exponents = new ulong[] { 3UL, 5UL, 7UL, 11UL, 13UL, 17UL, 19UL, 23UL };
bool[] expected = new bool[] { true, true, true, false, true, true, true, false };
var tester = new MersenneNumberLucasLehmerGpuTester();
bool[] results = new bool[exponents.Length];
tester.IsMersennePrimeBatch(exponents, results);
results.Should().Equal(expected);
}
[Fact]
[Trait("Category", "Fast")]
public void IsMersennePrimeBatch_matches_individual()
{
ulong[] exponents = new ulong[] { 3UL, 5UL, 7UL, 11UL, 13UL, 17UL, 19UL, 23UL };
bool[] expected = new bool[] { true, true, true, false, true, true, true, false };
var tester = new MersenneNumberLucasLehmerGpuTester();
bool[] results = new bool[exponents.Length];
tester.IsMersennePrimeBatch(exponents, results);
results.Should().Equal(expected);
}
[Theory]
[InlineData(132UL)]
[InlineData(1000UL)]
[Trait("Category", "Slow")]
public void WarmUpNttParameters_populates_cache_for_large_exponent(ulong exponent)
{
var tester = new MersenneNumberLucasLehmerGpuTester();
tester.WarmUpNttParameters(exponent);
tester.IsMersennePrime(exponent).Should().BeFalse();
}
[Theory]
[InlineData(132UL)]
[InlineData(1000UL)]
[Trait("Category", "Slow")]
public void WarmUpNttParameters_populates_cache_for_large_exponent(ulong exponent)
{
var tester = new MersenneNumberLucasLehmerGpuTester();
tester.WarmUpNttParameters(exponent);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.IsPrime(gpu, exponent, true).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Theory]
[InlineData(3UL, true)]
[InlineData(5UL, true)]
[InlineData(11UL, false)]
[Trait("Category", "Fast")]
public void IsMersennePrime_cpu_matches_expected_results(ulong p, bool expected)
{
new MersenneNumberLucasLehmerCpuTester().IsPrime(p).Should().Be(expected);
}
[Theory]
[InlineData(3UL, true)]
[InlineData(5UL, true)]
[InlineData(11UL, false)]
[Trait("Category", "Fast")]
public void IsMersennePrime_cpu_matches_expected_results(ulong p, bool expected)
{
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
new MersenneNumberLucasLehmerCpuTester().IsPrime(gpu, p).Should().Be(expected);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
+328 -343
View File
@@ -13,367 +13,352 @@ namespace PerfectNumbers.Core.Tests.Gpu;
[Collection("GpuNtt")]
public class NttGpuMathTests
{
[Fact]
[Trait("Category", "Fast")]
public void ForwardGpu_reference_matches_cpu_forward()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Reference;
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
cpu[0] = new GpuUInt128(0UL, 1UL);
cpu[1] = new GpuUInt128(0UL, 2UL);
cpu[2] = new GpuUInt128(0UL, 3UL);
cpu[3] = new GpuUInt128(0UL, 4UL);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
cpu.CopyTo(gpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Forward(cpu, modulus, primitiveRoot);
NttGpuMath.ForwardGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < cpu.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void ForwardGpu_reference_matches_cpu_forward()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Reference;
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
cpu[0] = new GpuUInt128(0UL, 1UL);
cpu[1] = new GpuUInt128(0UL, 2UL);
cpu[2] = new GpuUInt128(0UL, 3UL);
cpu[3] = new GpuUInt128(0UL, 4UL);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
cpu.CopyTo(gpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Forward(cpu, modulus, primitiveRoot);
NttGpuMath.ForwardGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < cpu.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void ForwardGpu_staged_matches_cpu_forward()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Staged;
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
cpu[0] = new GpuUInt128(0UL, 1UL);
cpu[1] = new GpuUInt128(0UL, 2UL);
cpu[2] = new GpuUInt128(0UL, 3UL);
cpu[3] = new GpuUInt128(0UL, 4UL);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
cpu.CopyTo(gpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Forward(cpu, modulus, primitiveRoot);
NttGpuMath.ForwardGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < cpu.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void ForwardGpu_staged_matches_cpu_forward()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Staged;
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
cpu[0] = new GpuUInt128(0UL, 1UL);
cpu[1] = new GpuUInt128(0UL, 2UL);
cpu[2] = new GpuUInt128(0UL, 3UL);
cpu[3] = new GpuUInt128(0UL, 4UL);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
cpu.CopyTo(gpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Forward(cpu, modulus, primitiveRoot);
NttGpuMath.ForwardGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < cpu.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void InverseGpu_reference_matches_cpu_inverse()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Reference;
Span<GpuUInt128> input = stackalloc GpuUInt128[4];
input[0] = new GpuUInt128(0UL, 5UL);
input[1] = new GpuUInt128(0UL, 7UL);
input[2] = new GpuUInt128(0UL, 9UL);
input[3] = new GpuUInt128(0UL, 11UL);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
Span<GpuUInt128> transformed = stackalloc GpuUInt128[4];
input.CopyTo(transformed);
NttGpuMath.Forward(transformed, modulus, primitiveRoot);
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
transformed.CopyTo(cpu);
NttGpuMath.Inverse(cpu, modulus, primitiveRoot);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
transformed.CopyTo(gpu);
NttGpuMath.InverseGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < input.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void InverseGpu_reference_matches_cpu_inverse()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Reference;
Span<GpuUInt128> input = stackalloc GpuUInt128[4];
input[0] = new GpuUInt128(0UL, 5UL);
input[1] = new GpuUInt128(0UL, 7UL);
input[2] = new GpuUInt128(0UL, 9UL);
input[3] = new GpuUInt128(0UL, 11UL);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
Span<GpuUInt128> transformed = stackalloc GpuUInt128[4];
input.CopyTo(transformed);
NttGpuMath.Forward(transformed, modulus, primitiveRoot);
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
transformed.CopyTo(cpu);
NttGpuMath.Inverse(cpu, modulus, primitiveRoot);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
transformed.CopyTo(gpu);
NttGpuMath.InverseGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < input.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void InverseGpu_staged_matches_cpu_inverse()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Staged;
Span<GpuUInt128> input = stackalloc GpuUInt128[4];
input[0] = new GpuUInt128(0UL, 5UL);
input[1] = new GpuUInt128(0UL, 7UL);
input[2] = new GpuUInt128(0UL, 9UL);
input[3] = new GpuUInt128(0UL, 11UL);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
Span<GpuUInt128> transformed = stackalloc GpuUInt128[4];
input.CopyTo(transformed);
NttGpuMath.Forward(transformed, modulus, primitiveRoot);
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
transformed.CopyTo(cpu);
NttGpuMath.Inverse(cpu, modulus, primitiveRoot);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
transformed.CopyTo(gpu);
NttGpuMath.InverseGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < input.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void InverseGpu_staged_matches_cpu_inverse()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Staged;
Span<GpuUInt128> input = stackalloc GpuUInt128[4];
input[0] = new GpuUInt128(0UL, 5UL);
input[1] = new GpuUInt128(0UL, 7UL);
input[2] = new GpuUInt128(0UL, 9UL);
input[3] = new GpuUInt128(0UL, 11UL);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
Span<GpuUInt128> transformed = stackalloc GpuUInt128[4];
input.CopyTo(transformed);
NttGpuMath.Forward(transformed, modulus, primitiveRoot);
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
transformed.CopyTo(cpu);
NttGpuMath.Inverse(cpu, modulus, primitiveRoot);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
transformed.CopyTo(gpu);
NttGpuMath.InverseGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < input.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void Montgomery_twiddle_inverses_multiply_to_r2()
{
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
[Fact]
[Trait("Category", "Fast")]
public void Montgomery_twiddle_inverses_multiply_to_r2()
{
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
GpuContextPool.GpuContextLease gpu = GpuContextPool.Rent();
try
{
var accelerator = gpu.Accelerator;
var accelerator = SharedGpuContext.CreateAccelerator();
var stream = accelerator.CreateStream();
var method = typeof(NttGpuMath).GetMethod("GetSquareCache", BindingFlags.NonPublic | BindingFlags.Static);
method.Should().NotBeNull();
var cache = method!.Invoke(null, new object[] { accelerator, 8, modulus, primitiveRoot })!;
var cacheType = cache.GetType();
var method = typeof(NttGpuMath).GetMethod("GetSquareCache", BindingFlags.NonPublic | BindingFlags.Static);
method.Should().NotBeNull();
var cache = method!.Invoke(null, new object[] { accelerator, 8, modulus, primitiveRoot })!;
var cacheType = cache.GetType();
var twiddlesMont = (MemoryBuffer1D<GpuUInt128, Stride1D.Dense>)cacheType.GetProperty("TwiddlesMont")!.GetValue(cache)!;
var twiddlesInvMont = (MemoryBuffer1D<GpuUInt128, Stride1D.Dense>)cacheType.GetProperty("TwiddlesInvMont")!.GetValue(cache)!;
var r2 = (ulong)cacheType.GetProperty("MontR2Mod64")!.GetValue(cache)!;
var mod = (ulong)cacheType.GetProperty("ModulusLow")!.GetValue(cache)!;
var twiddlesMont = (MemoryBuffer1D<GpuUInt128, Stride1D.Dense>)cacheType.GetProperty("TwiddlesMont")!.GetValue(cache)!;
var twiddlesInvMont = (MemoryBuffer1D<GpuUInt128, Stride1D.Dense>)cacheType.GetProperty("TwiddlesInvMont")!.GetValue(cache)!;
var r2 = (ulong)cacheType.GetProperty("MontR2Mod64")!.GetValue(cache)!;
var mod = (ulong)cacheType.GetProperty("ModulusLow")!.GetValue(cache)!;
int count = 7; // length 8 -> 7 twiddles
var forward = new GpuUInt128[count];
var inverse = new GpuUInt128[count];
twiddlesMont.CopyToCPU(forward);
twiddlesInvMont.CopyToCPU(inverse);
int count = 7; // length 8 -> 7 twiddles
var forward = new GpuUInt128[count];
var inverse = new GpuUInt128[count];
twiddlesMont.CopyToCPU(stream, forward);
twiddlesInvMont.CopyToCPU(stream, inverse);
stream.Synchronize();
stream.Dispose();
accelerator.Dispose();
for (int i = 0; i < count; i++)
{
ulong prod = (ulong)((((BigInteger)forward[i].Low) * inverse[i].Low) % mod);
prod.Should().Be(r2);
}
}
finally
{
gpu.Dispose();
}
}
for (int i = 0; i < count; i++)
{
ulong prod = (ulong)((((BigInteger)forward[i].Low) * inverse[i].Low) % mod);
prod.Should().Be(r2);
}
}
[Fact]
[Trait("Category", "Fast")]
public void ConvolveGpu_reference_matches_cpu_convolve()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Reference;
Span<GpuUInt128> leftCpu = stackalloc GpuUInt128[4];
Span<GpuUInt128> rightCpu = stackalloc GpuUInt128[4];
leftCpu[0] = new GpuUInt128(0UL, 1UL);
leftCpu[1] = new GpuUInt128(0UL, 2UL);
leftCpu[2] = new GpuUInt128(0UL, 3UL);
leftCpu[3] = new GpuUInt128(0UL, 4UL);
rightCpu[0] = new GpuUInt128(0UL, 5UL);
rightCpu[1] = new GpuUInt128(0UL, 6UL);
rightCpu[2] = new GpuUInt128(0UL, 7UL);
rightCpu[3] = new GpuUInt128(0UL, 8UL);
Span<GpuUInt128> leftGpu = stackalloc GpuUInt128[4];
Span<GpuUInt128> rightGpu = stackalloc GpuUInt128[4];
leftCpu.CopyTo(leftGpu);
rightCpu.CopyTo(rightGpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Convolve(leftCpu, rightCpu, modulus, primitiveRoot);
NttGpuMath.ConvolveGpu(leftGpu, rightGpu, modulus, primitiveRoot);
for (int i = 0; i < leftCpu.Length; i++)
{
leftGpu[i].Should().Be(leftCpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void ConvolveGpu_reference_matches_cpu_convolve()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Reference;
Span<GpuUInt128> leftCpu = stackalloc GpuUInt128[4];
Span<GpuUInt128> rightCpu = stackalloc GpuUInt128[4];
leftCpu[0] = new GpuUInt128(0UL, 1UL);
leftCpu[1] = new GpuUInt128(0UL, 2UL);
leftCpu[2] = new GpuUInt128(0UL, 3UL);
leftCpu[3] = new GpuUInt128(0UL, 4UL);
rightCpu[0] = new GpuUInt128(0UL, 5UL);
rightCpu[1] = new GpuUInt128(0UL, 6UL);
rightCpu[2] = new GpuUInt128(0UL, 7UL);
rightCpu[3] = new GpuUInt128(0UL, 8UL);
Span<GpuUInt128> leftGpu = stackalloc GpuUInt128[4];
Span<GpuUInt128> rightGpu = stackalloc GpuUInt128[4];
leftCpu.CopyTo(leftGpu);
rightCpu.CopyTo(rightGpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Convolve(leftCpu, rightCpu, modulus, primitiveRoot);
NttGpuMath.ConvolveGpu(leftGpu, rightGpu, modulus, primitiveRoot);
for (int i = 0; i < leftCpu.Length; i++)
{
leftGpu[i].Should().Be(leftCpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void ConvolveGpu_staged_matches_cpu_convolve()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Staged;
Span<GpuUInt128> leftCpu = stackalloc GpuUInt128[4];
Span<GpuUInt128> rightCpu = stackalloc GpuUInt128[4];
leftCpu[0] = new GpuUInt128(0UL, 1UL);
leftCpu[1] = new GpuUInt128(0UL, 2UL);
leftCpu[2] = new GpuUInt128(0UL, 3UL);
leftCpu[3] = new GpuUInt128(0UL, 4UL);
rightCpu[0] = new GpuUInt128(0UL, 5UL);
rightCpu[1] = new GpuUInt128(0UL, 6UL);
rightCpu[2] = new GpuUInt128(0UL, 7UL);
rightCpu[3] = new GpuUInt128(0UL, 8UL);
Span<GpuUInt128> leftGpu = stackalloc GpuUInt128[4];
Span<GpuUInt128> rightGpu = stackalloc GpuUInt128[4];
leftCpu.CopyTo(leftGpu);
rightCpu.CopyTo(rightGpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Convolve(leftCpu, rightCpu, modulus, primitiveRoot);
NttGpuMath.ConvolveGpu(leftGpu, rightGpu, modulus, primitiveRoot);
for (int i = 0; i < leftCpu.Length; i++)
{
leftGpu[i].Should().Be(leftCpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void ConvolveGpu_staged_matches_cpu_convolve()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Staged;
Span<GpuUInt128> leftCpu = stackalloc GpuUInt128[4];
Span<GpuUInt128> rightCpu = stackalloc GpuUInt128[4];
leftCpu[0] = new GpuUInt128(0UL, 1UL);
leftCpu[1] = new GpuUInt128(0UL, 2UL);
leftCpu[2] = new GpuUInt128(0UL, 3UL);
leftCpu[3] = new GpuUInt128(0UL, 4UL);
rightCpu[0] = new GpuUInt128(0UL, 5UL);
rightCpu[1] = new GpuUInt128(0UL, 6UL);
rightCpu[2] = new GpuUInt128(0UL, 7UL);
rightCpu[3] = new GpuUInt128(0UL, 8UL);
Span<GpuUInt128> leftGpu = stackalloc GpuUInt128[4];
Span<GpuUInt128> rightGpu = stackalloc GpuUInt128[4];
leftCpu.CopyTo(leftGpu);
rightCpu.CopyTo(rightGpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Convolve(leftCpu, rightCpu, modulus, primitiveRoot);
NttGpuMath.ConvolveGpu(leftGpu, rightGpu, modulus, primitiveRoot);
for (int i = 0; i < leftCpu.Length; i++)
{
leftGpu[i].Should().Be(leftCpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void SquareGpu_reference_matches_cpu_square()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Reference;
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
cpu[0] = new GpuUInt128(0UL, 1UL);
cpu[1] = new GpuUInt128(0UL, 2UL);
cpu[2] = new GpuUInt128(0UL, 3UL);
cpu[3] = new GpuUInt128(0UL, 4UL);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
cpu.CopyTo(gpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Square(cpu, modulus, primitiveRoot);
NttGpuMath.SquareGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < cpu.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void SquareGpu_reference_matches_cpu_square()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Reference;
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
cpu[0] = new GpuUInt128(0UL, 1UL);
cpu[1] = new GpuUInt128(0UL, 2UL);
cpu[2] = new GpuUInt128(0UL, 3UL);
cpu[3] = new GpuUInt128(0UL, 4UL);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
cpu.CopyTo(gpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Square(cpu, modulus, primitiveRoot);
NttGpuMath.SquareGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < cpu.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void SquareGpu_staged_matches_cpu_square()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Staged;
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
cpu[0] = new GpuUInt128(0UL, 1UL);
cpu[1] = new GpuUInt128(0UL, 2UL);
cpu[2] = new GpuUInt128(0UL, 3UL);
cpu[3] = new GpuUInt128(0UL, 4UL);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
cpu.CopyTo(gpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Square(cpu, modulus, primitiveRoot);
NttGpuMath.SquareGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < cpu.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void SquareGpu_staged_matches_cpu_square()
{
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Staged;
Span<GpuUInt128> cpu = stackalloc GpuUInt128[4];
cpu[0] = new GpuUInt128(0UL, 1UL);
cpu[1] = new GpuUInt128(0UL, 2UL);
cpu[2] = new GpuUInt128(0UL, 3UL);
cpu[3] = new GpuUInt128(0UL, 4UL);
Span<GpuUInt128> gpu = stackalloc GpuUInt128[4];
cpu.CopyTo(gpu);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
NttGpuMath.Square(cpu, modulus, primitiveRoot);
NttGpuMath.SquareGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < cpu.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
[Fact]
[Trait("Category", "Fast")]
public void BitReverseGpu_matches_cpu()
{
GpuUInt128[] cpu = new GpuUInt128[8];
for (ulong i = 0; i < (ulong)cpu.Length; i++)
{
cpu[i] = new GpuUInt128(0UL, i);
}
[Fact]
[Trait("Category", "Fast")]
public void BitReverseGpu_matches_cpu()
{
GpuUInt128[] cpu = new GpuUInt128[8];
for (ulong i = 0; i < (ulong)cpu.Length; i++)
{
cpu[i] = new GpuUInt128(0UL, i);
}
GpuUInt128[] gpu = (GpuUInt128[])cpu.Clone();
NttGpuMath.BitReverse(cpu);
NttGpuMath.BitReverseGpu(gpu);
gpu.Should().Equal(cpu);
}
GpuUInt128[] gpu = (GpuUInt128[])cpu.Clone();
NttGpuMath.BitReverse(cpu);
NttGpuMath.BitReverseGpu(gpu);
gpu.Should().Equal(cpu);
}
[Fact]
[Trait("Category", "Fast")]
public void DisposeAll_clears_ntt_caches()
{
// Ensure the cache starts empty.
NttGpuMath.ClearCaches();
[Fact]
[Trait("Category", "Fast")]
public void DisposeAll_clears_ntt_caches()
{
// Ensure the cache starts empty.
NttGpuMath.ClearCaches();
Span<GpuUInt128> values = stackalloc GpuUInt128[2];
values[0] = new GpuUInt128(0UL, 1UL);
values[1] = new GpuUInt128(0UL, 2UL);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
GpuContextPool.GpuContextLease gpu = GpuContextPool.Rent();
try
{
var buffer = gpu.Accelerator.Allocate1D<GpuUInt128>(values.Length);
try
{
buffer.View.CopyFromCPU(ref values[0], values.Length);
NttGpuMath.SquareDevice(gpu.Accelerator, buffer.View, modulus, primitiveRoot);
}
finally
{
buffer.Dispose();
}
}
finally
{
gpu.Dispose();
}
Span<GpuUInt128> values = stackalloc GpuUInt128[2];
values[0] = new GpuUInt128(0UL, 1UL);
values[1] = new GpuUInt128(0UL, 2UL);
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
Accelerator accelerator = SharedGpuContext.CreateAccelerator();
var stream = accelerator.CreateStream();
var buffer = accelerator.Allocate1D<GpuUInt128>(values.Length);
buffer.View.CopyFromCPU(stream, ref values[0], values.Length);
NttGpuMath.SquareDevice(accelerator, stream, buffer.View, modulus, primitiveRoot);
stream.Synchronize();
stream.Dispose();
buffer.Dispose();
accelerator.Dispose();
// Verify that the square cache now holds entries for the accelerator.
var field = typeof(NttGpuMath).GetField("SquareCache", BindingFlags.NonPublic | BindingFlags.Static)!;
var cacheObj = field.GetValue(null)!;
int count = (int)cacheObj.GetType().GetProperty("Count")!.GetValue(cacheObj)!;
count.Should().BeGreaterThan(0);
// Verify that the square cache now holds entries for the accelerator.
var field = typeof(NttGpuMath).GetField("SquareCache", BindingFlags.NonPublic | BindingFlags.Static)!;
var cacheObj = field.GetValue(null)!;
int count = (int)cacheObj.GetType().GetProperty("Count")!.GetValue(cacheObj)!;
count.Should().BeGreaterThan(0);
GpuContextPool.DisposeAll();
count = (int)cacheObj.GetType().GetProperty("Count")!.GetValue(cacheObj)!;
count.Should().Be(0);
}
count = (int)cacheObj.GetType().GetProperty("Count")!.GetValue(cacheObj)!;
count.Should().Be(0);
}
}
@@ -9,86 +9,83 @@ namespace PerfectNumbers.Core.Tests.Gpu;
[Trait("Category", "Fast")]
public class NttMontgomeryTests
{
[Fact]
[Trait("Category", "Fast")]
public void SquareDevice_montgomery64_matches_cpu_square_on_small_input()
{
// Small 64-bit modulus and tiny input to keep runtime trivial.
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
[Fact]
[Trait("Category", "Fast")]
public void SquareDevice_montgomery64_matches_cpu_square_on_small_input()
{
// Small 64-bit modulus and tiny input to keep runtime trivial.
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
Span<GpuUInt128> cpu = stackalloc GpuUInt128[8];
for (ulong i = 0; i < (ulong)cpu.Length; i++)
{
cpu[(int)i] = new GpuUInt128(0UL, i + 1UL);
}
Span<GpuUInt128> gpu = stackalloc GpuUInt128[16];
cpu.CopyTo(gpu);
for (int i = cpu.Length; i < gpu.Length; i++)
{
gpu[i] = new GpuUInt128(0UL, 0UL);
}
Span<GpuUInt128> cpu = stackalloc GpuUInt128[8];
for (ulong i = 0; i < (ulong)cpu.Length; i++)
{
cpu[(int)i] = new GpuUInt128(0UL, i + 1UL);
}
Span<GpuUInt128> gpu = stackalloc GpuUInt128[16];
cpu.CopyTo(gpu);
for (int i = cpu.Length; i < gpu.Length; i++)
{
gpu[i] = new GpuUInt128(0UL, 0UL);
}
// CPU reference
NttGpuMath.Square(cpu, modulus, primitiveRoot);
// CPU reference
NttGpuMath.Square(cpu, modulus, primitiveRoot);
// Device execution
GpuContextPool.GpuContextLease context = GpuContextPool.Rent();
try
{
var accelerator = context.Accelerator;
using var buffer = accelerator.Allocate1D<GpuUInt128>(gpu.Length);
buffer.View.CopyFromCPU(ref gpu[0], gpu.Length);
NttGpuMath.SquareDevice(accelerator, buffer.View, modulus, primitiveRoot);
buffer.View.CopyToCPU(ref gpu[0], gpu.Length);
// Device execution
var accelerator = SharedGpuContext.CreateAccelerator();
var stream = accelerator.CreateStream();
using var buffer = accelerator.Allocate1D<GpuUInt128>(gpu.Length);
buffer.View.CopyFromCPU(stream, ref gpu[0], gpu.Length);
NttGpuMath.SquareDevice(accelerator, stream, buffer.View, modulus, primitiveRoot);
buffer.View.CopyToCPU(stream, ref gpu[0], gpu.Length);
stream.Synchronize();
stream.Dispose();
accelerator.Dispose();
for (int i = 0; i < cpu.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
context.Dispose();
}
}
for (int i = 0; i < cpu.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
[Fact]
[Trait("Category", "Fast")]
public void InverseDevice_montgomery64_matches_cpu_inverse_on_small_input()
{
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
}
Span<GpuUInt128> input = stackalloc GpuUInt128[8];
for (ulong i = 0; i < (ulong)input.Length; i++)
{
input[(int)i] = new GpuUInt128(0UL, i + 1UL);
}
[Fact]
[Trait("Category", "Fast")]
public void InverseDevice_montgomery64_matches_cpu_inverse_on_small_input()
{
var modulus = new GpuUInt128(0UL, 17UL);
var primitiveRoot = new GpuUInt128(0UL, 3UL);
Span<GpuUInt128> transformed = stackalloc GpuUInt128[input.Length];
input.CopyTo(transformed);
NttGpuMath.Forward(transformed, modulus, primitiveRoot);
Span<GpuUInt128> input = stackalloc GpuUInt128[8];
for (ulong i = 0; i < (ulong)input.Length; i++)
{
input[(int)i] = new GpuUInt128(0UL, i + 1UL);
}
Span<GpuUInt128> cpu = stackalloc GpuUInt128[input.Length];
transformed.CopyTo(cpu);
NttGpuMath.Inverse(cpu, modulus, primitiveRoot);
Span<GpuUInt128> transformed = stackalloc GpuUInt128[input.Length];
input.CopyTo(transformed);
NttGpuMath.Forward(transformed, modulus, primitiveRoot);
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Staged;
Span<GpuUInt128> gpu = stackalloc GpuUInt128[input.Length];
transformed.CopyTo(gpu);
NttGpuMath.InverseGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < input.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
Span<GpuUInt128> cpu = stackalloc GpuUInt128[input.Length];
transformed.CopyTo(cpu);
NttGpuMath.Inverse(cpu, modulus, primitiveRoot);
var original = NttGpuMath.GpuTransformBackend;
try
{
NttGpuMath.GpuTransformBackend = NttBackend.Staged;
Span<GpuUInt128> gpu = stackalloc GpuUInt128[input.Length];
transformed.CopyTo(gpu);
NttGpuMath.InverseGpu(gpu, modulus, primitiveRoot);
for (int i = 0; i < input.Length; i++)
{
gpu[i].Should().Be(cpu[i]);
}
}
finally
{
NttGpuMath.GpuTransformBackend = original;
}
}
}
@@ -2,374 +2,410 @@ using System.Numerics;
using System.Reflection;
using FluentAssertions;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
namespace PerfectNumbers.Core.Tests.Gpu;
[Trait("Category", "Fast")]
public class PrimeOrderGpuHeuristicsTests
{
public PrimeOrderGpuHeuristicsTests()
{
PrimeOrderGpuHeuristics.OverflowRegistry.Clear();
PrimeOrderGpuHeuristics.OverflowRegistryWide.Clear();
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
}
public PrimeOrderGpuHeuristicsTests()
{
PrimeOrderGpuHeuristics.OverflowRegistry.Clear();
PrimeOrderGpuHeuristics.OverflowRegistryWide.Clear();
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
}
[Fact]
public void TryPow2Mod_returns_overflow_for_marked_prime()
{
const ulong prime = 97UL;
try
{
PrimeOrderGpuHeuristics.OverflowRegistry[prime] = 0;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(1UL, prime, out ulong remainder, divisorData);
[Fact]
public void TryPow2Mod_returns_overflow_for_marked_prime()
{
const ulong prime = 97UL;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
PrimeOrderGpuHeuristics.OverflowRegistry[prime] = 0;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(gpu, 1UL, prime, out ulong remainder, divisorData);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(0UL);
}
finally
{
PrimeOrderGpuHeuristics.OverflowRegistry.TryRemove(prime, out _);
}
}
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(0UL);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
PrimeOrderGpuHeuristics.OverflowRegistry.TryRemove(prime, out _);
}
}
[Fact]
public void TryPow2Mod_returns_success_for_supported_prime()
{
const ulong exponent = 138_000_001UL;
const ulong prime = 138_000_001UL;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(exponent, prime, out ulong remainder, divisorData);
[Fact]
public void TryPow2Mod_returns_success_for_supported_prime()
{
const ulong exponent = 138_000_001UL;
const ulong prime = 138_000_001UL;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(gpu, exponent, prime, out ulong remainder, divisorData);
status.Should().Be(GpuPow2ModStatus.Success);
remainder.Should().Be(2UL);
}
PrimeOrderCalculatorAccelerator.Return(gpu);
[Fact]
public void TryPow2Mod_returns_overflow_when_modulus_exceeds_capability()
{
const ulong prime = 97UL;
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(6, 64);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(1UL, prime, out ulong remainder, divisorData);
status.Should().Be(GpuPow2ModStatus.Success);
remainder.Should().Be(2UL);
}
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(0UL);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
PrimeOrderGpuHeuristics.OverflowRegistry.TryRemove(prime, out _);
}
}
[Fact]
public void TryPow2Mod_returns_overflow_when_modulus_exceeds_capability()
{
const ulong prime = 97UL;
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(6, 64);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(gpu, 1UL, prime, out ulong remainder, divisorData);
[Fact]
public void TryPow2Mod_returns_overflow_when_exponent_exceeds_capability()
{
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(64, 3);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
const ulong prime = 193UL;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(16UL, prime, out ulong remainder, divisorData);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(0UL);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
PrimeOrderGpuHeuristics.OverflowRegistry.TryRemove(prime, out _);
}
}
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(0UL);
[Fact]
public void TryPow2Mod_returns_overflow_when_exponent_exceeds_capability()
{
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(64, 3);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
const ulong prime = 193UL;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(gpu, 16UL, prime, out ulong remainder, divisorData);
GpuPow2ModStatus followUp = PrimeOrderGpuHeuristics.TryPow2Mod(4UL, prime, out ulong followUpRemainder, divisorData);
followUp.Should().Be(GpuPow2ModStatus.Success);
followUpRemainder.Should().Be(16UL);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
}
}
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(0UL);
[Fact]
public void TryPow2ModBatch_returns_overflow_for_marked_prime()
{
const ulong prime = 193UL;
try
{
PrimeOrderGpuHeuristics.OverflowRegistry[prime] = 0;
GpuPow2ModStatus followUp = PrimeOrderGpuHeuristics.TryPow2Mod(gpu, 4UL, prime, out ulong followUpRemainder, divisorData);
followUp.Should().Be(GpuPow2ModStatus.Success);
followUpRemainder.Should().Be(16UL);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
}
}
ulong[] remainders = new ulong[2];
ulong[] exponents = { 1UL, 2UL };
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(exponents, prime, remainders, divisorData);
[Fact]
public void TryPow2ModBatch_returns_overflow_for_marked_prime()
{
const ulong prime = 193UL;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
PrimeOrderGpuHeuristics.OverflowRegistry[prime] = 0;
status.Should().Be(GpuPow2ModStatus.Overflow);
remainders[0].Should().Be(0UL);
remainders[1].Should().Be(0UL);
}
finally
{
PrimeOrderGpuHeuristics.OverflowRegistry.TryRemove(prime, out _);
}
}
ulong[] remainders = new ulong[2];
ulong[] exponents = { 1UL, 2UL };
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(gpu, exponents, prime, remainders, divisorData);
[Fact]
public void TryPow2ModBatch_returns_success_for_supported_prime()
{
ulong[] remainders = { 123UL, 456UL };
ulong[] exponents = { 138_000_001UL, 138_000_011UL };
const ulong prime = 138_000_001UL;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(exponents, prime, remainders, divisorData);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainders[0].Should().Be(0UL);
remainders[1].Should().Be(0UL);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
PrimeOrderGpuHeuristics.OverflowRegistry.TryRemove(prime, out _);
}
}
ulong expectedFirst = (ulong)BigInteger.ModPow(2, exponents[0], prime);
ulong expectedSecond = (ulong)BigInteger.ModPow(2, exponents[1], prime);
[Fact]
public void TryPow2ModBatch_returns_success_for_supported_prime()
{
ulong[] remainders = { 123UL, 456UL };
ulong[] exponents = { 138_000_001UL, 138_000_011UL };
const ulong prime = 138_000_001UL;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
status.Should().Be(GpuPow2ModStatus.Success);
expectedFirst.Should().Be(2UL);
expectedSecond.Should().Be(2048UL);
remainders[0].Should().Be(expectedFirst);
remainders[1].Should().Be(expectedSecond);
}
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(gpu, exponents, prime, remainders, divisorData);
PrimeOrderCalculatorAccelerator.Return(gpu);
[Fact]
public void TryPow2ModBatch_returns_overflow_when_modulus_exceeds_capability()
{
const ulong prime = 97UL;
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(6, 64);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
ulong[] exponents = { 1UL, 2UL };
ulong[] remainders = { 5UL, 6UL };
ulong expectedFirst = (ulong)BigInteger.ModPow(2, exponents[0], prime);
ulong expectedSecond = (ulong)BigInteger.ModPow(2, exponents[1], prime);
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(exponents, prime, remainders, divisorData);
status.Should().Be(GpuPow2ModStatus.Success);
expectedFirst.Should().Be(2UL);
expectedSecond.Should().Be(2048UL);
remainders[0].Should().Be(expectedFirst);
remainders[1].Should().Be(expectedSecond);
}
status.Should().Be(GpuPow2ModStatus.Overflow);
remainders[0].Should().Be(0UL);
remainders[1].Should().Be(0UL);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
PrimeOrderGpuHeuristics.OverflowRegistry.TryRemove(prime, out _);
}
}
[Fact]
public void TryPow2ModBatch_returns_overflow_when_modulus_exceeds_capability()
{
const ulong prime = 97UL;
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(6, 64);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
ulong[] exponents = { 1UL, 2UL };
ulong[] remainders = { 5UL, 6UL };
[Fact]
public void TryPow2ModBatch_returns_overflow_when_any_exponent_exceeds_capability()
{
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(64, 3);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
ulong[] exponents = { 2UL, 16UL };
ulong[] remainders = { 9UL, 11UL };
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(gpu, exponents, prime, remainders, divisorData);
const ulong prime = 193UL;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(exponents, prime, remainders, divisorData);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainders[0].Should().Be(0UL);
remainders[1].Should().Be(0UL);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
PrimeOrderGpuHeuristics.OverflowRegistry.TryRemove(prime, out _);
}
}
status.Should().Be(GpuPow2ModStatus.Overflow);
remainders[0].Should().Be(0UL);
remainders[1].Should().Be(0UL);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
}
}
[Fact]
public void TryPow2ModBatch_returns_overflow_when_any_exponent_exceeds_capability()
{
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(64, 3);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
ulong[] exponents = { 2UL, 16UL };
ulong[] remainders = { 9UL, 11UL };
[Fact]
public void TryPow2ModWide_returns_overflow_for_marked_prime()
{
UInt128 prime = ((UInt128)1 << 80) + 7;
try
{
PrimeOrderGpuHeuristics.OverflowRegistryWide[prime] = 0;
const ulong prime = 193UL;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(gpu, exponents, prime, remainders, divisorData);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(UInt128.One, prime, out UInt128 remainder);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainders[0].Should().Be(0UL);
remainders[1].Should().Be(0UL);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
}
}
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(UInt128.Zero);
}
finally
{
PrimeOrderGpuHeuristics.OverflowRegistryWide.TryRemove(prime, out _);
}
}
[Fact]
public void TryPow2ModWide_returns_overflow_for_marked_prime()
{
UInt128 prime = ((UInt128)1 << 80) + 7;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
PrimeOrderGpuHeuristics.OverflowRegistryWide[prime] = 0;
[Fact]
public void TryPow2ModWide_returns_success_for_supported_prime()
{
UInt128 prime = ((UInt128)1 << 96) + 11;
UInt128 exponent = ((UInt128)1 << 64) + 3;
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(gpu, UInt128.One, prime, out UInt128 remainder);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(exponent, prime, out UInt128 remainder);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(UInt128.Zero);
}
finally
{
PrimeOrderGpuHeuristics.OverflowRegistryWide.TryRemove(prime, out _);
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
status.Should().Be(GpuPow2ModStatus.Success);
UInt128 expected = (UInt128)BigInteger.ModPow(2, (BigInteger)exponent, (BigInteger)prime);
remainder.Should().Be(expected);
}
[Fact]
public void TryPow2ModWide_returns_success_for_supported_prime()
{
UInt128 prime = ((UInt128)1 << 96) + 11;
UInt128 exponent = ((UInt128)1 << 64) + 3;
[Theory]
[InlineData("193", "31")]
[InlineData("193", "255")]
[InlineData("79228162514264337593543950347", "36893488147419103251")]
public void Pow2ModKernelCore_matches_cpu_windowed_path(string modulusText, string exponentText)
{
UInt128 modulus = UInt128.Parse(modulusText);
UInt128 exponent = UInt128.Parse(exponentText);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(gpu, exponent, prime, out UInt128 remainder);
PrimeOrderCalculatorAccelerator.Return(gpu);
var method = typeof(PrimeOrderGpuHeuristics).GetMethod("Pow2ModKernelCore", BindingFlags.NonPublic | BindingFlags.Static);
method.Should().NotBeNull();
status.Should().Be(GpuPow2ModStatus.Success);
UInt128 expected = (UInt128)BigInteger.ModPow(2, (BigInteger)exponent, (BigInteger)prime);
remainder.Should().Be(expected);
}
object? gpuResultObject = method!.Invoke(null, new object[] { new GpuUInt128(exponent), new GpuUInt128(modulus) });
GpuUInt128 gpuResult = (GpuUInt128)gpuResultObject!;
UInt128 expected = exponent.Pow2MontgomeryModWindowed(modulus);
[Theory]
[InlineData("193", "31")]
[InlineData("193", "255")]
[InlineData("79228162514264337593543950347", "36893488147419103251")]
public void Pow2ModKernelCore_matches_cpu_windowed_path(string modulusText, string exponentText)
{
UInt128 modulus = UInt128.Parse(modulusText);
UInt128 exponent = UInt128.Parse(exponentText);
((UInt128)gpuResult).Should().Be(expected);
}
var method = typeof(PrimeOrderGpuHeuristics).GetMethod("Pow2ModKernelCore", BindingFlags.NonPublic | BindingFlags.Static);
method.Should().NotBeNull();
[Fact]
public void TryPow2ModWide_returns_overflow_when_modulus_exceeds_capability()
{
UInt128 prime = ((UInt128)1 << 80) + 9;
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(64, 128);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(UInt128.One, prime, out UInt128 remainder);
object? gpuResultObject = method!.Invoke(null, new object[] { new GpuUInt128(exponent), new GpuUInt128(modulus) });
GpuUInt128 gpuResult = (GpuUInt128)gpuResultObject!;
UInt128 expected = exponent.Pow2MontgomeryModWindowed(modulus);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(UInt128.Zero);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
PrimeOrderGpuHeuristics.OverflowRegistryWide.TryRemove(prime, out _);
}
}
((UInt128)gpuResult).Should().Be(expected);
}
[Fact]
public void TryPow2ModWide_returns_overflow_when_exponent_exceeds_capability()
{
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(128, 4);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
UInt128 exponent = UInt128.One << 8;
UInt128 prime = ((UInt128)1 << 70) + 3;
[Fact]
public void TryPow2ModWide_returns_overflow_when_modulus_exceeds_capability()
{
UInt128 prime = ((UInt128)1 << 80) + 9;
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(64, 128);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(gpu, UInt128.One, prime, out UInt128 remainder);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(exponent, prime, out UInt128 remainder);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(UInt128.Zero);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
PrimeOrderGpuHeuristics.OverflowRegistryWide.TryRemove(prime, out _);
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(UInt128.Zero);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
}
}
[Fact]
public void TryPow2ModWide_returns_overflow_when_exponent_exceeds_capability()
{
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(128, 4);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
UInt128 exponent = UInt128.One << 8;
UInt128 prime = ((UInt128)1 << 70) + 3;
[Fact]
public void TryPow2ModBatchWide_returns_success_for_supported_prime()
{
UInt128 prime = ((UInt128)1 << 90) + 19;
UInt128[] exponents = { UInt128.One, ((UInt128)1 << 64) + 5 };
UInt128[] remainders = { UInt128.Zero, UInt128.Zero };
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2Mod(gpu, exponent, prime, out UInt128 remainder);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(exponents, prime, remainders);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainder.Should().Be(UInt128.Zero);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
status.Should().Be(GpuPow2ModStatus.Success);
for (int i = 0; i < exponents.Length; i++)
{
UInt128 expected = (UInt128)BigInteger.ModPow(2, (BigInteger)exponents[i], (BigInteger)prime);
remainders[i].Should().Be(expected);
}
}
[Fact]
public void TryPow2ModBatchWide_returns_success_for_supported_prime()
{
UInt128 prime = ((UInt128)1 << 90) + 19;
UInt128[] exponents = { UInt128.One, ((UInt128)1 << 64) + 5 };
UInt128[] remainders = { UInt128.Zero, UInt128.Zero };
[Fact]
public void TryPow2ModBatchWide_returns_overflow_when_modulus_exceeds_capability()
{
UInt128 prime = ((UInt128)1 << 88) + 13;
UInt128[] exponents = { UInt128.One, (UInt128)5 };
UInt128[] remainders = { UInt128.Zero, UInt128.Zero };
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(64, 128);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(exponents, prime, remainders);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(gpu, exponents, prime, remainders);
PrimeOrderCalculatorAccelerator.Return(gpu);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainders[0].Should().Be(UInt128.Zero);
remainders[1].Should().Be(UInt128.Zero);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
PrimeOrderGpuHeuristics.OverflowRegistryWide.TryRemove(prime, out _);
}
}
status.Should().Be(GpuPow2ModStatus.Success);
for (int i = 0; i < exponents.Length; i++)
{
UInt128 expected = (UInt128)BigInteger.ModPow(2, (BigInteger)exponents[i], (BigInteger)prime);
remainders[i].Should().Be(expected);
}
}
[Fact]
public void TryPow2ModBatchWide_returns_overflow_when_any_exponent_exceeds_capability()
{
UInt128 prime = ((UInt128)1 << 72) + 23;
UInt128[] exponents = { UInt128.One << 5, UInt128.One << 9 };
UInt128[] remainders = { UInt128.Zero, UInt128.Zero };
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(128, 6);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
try
{
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(exponents, prime, remainders);
[Fact]
public void TryPow2ModBatchWide_returns_overflow_when_modulus_exceeds_capability()
{
UInt128 prime = ((UInt128)1 << 88) + 13;
UInt128[] exponents = { UInt128.One, (UInt128)5 };
UInt128[] remainders = { UInt128.Zero, UInt128.Zero };
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(64, 128);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(gpu, exponents, prime, remainders);
status.Should().Be(GpuPow2ModStatus.Overflow);
remainders[0].Should().Be(UInt128.Zero);
remainders[1].Should().Be(UInt128.Zero);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
}
}
status.Should().Be(GpuPow2ModStatus.Overflow);
remainders[0].Should().Be(UInt128.Zero);
remainders[1].Should().Be(UInt128.Zero);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
PrimeOrderGpuHeuristics.OverflowRegistryWide.TryRemove(prime, out _);
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
// This will never happen in production code because the caller ensures the remainder span is large enough.
// [Fact]
// public void TryPow2ModBatch_throws_when_remainder_span_is_too_small()
// {
// ulong[] remainders = new ulong[1];
// ulong[] exponents = { 1UL, 2UL };
[Fact]
public void TryPow2ModBatchWide_returns_overflow_when_any_exponent_exceeds_capability()
{
UInt128 prime = ((UInt128)1 << 72) + 23;
UInt128[] exponents = { UInt128.One << 5, UInt128.One << 9 };
UInt128[] remainders = { UInt128.Zero, UInt128.Zero };
var capability = new PrimeOrderGpuHeuristics.PrimeOrderGpuCapability(128, 6);
PrimeOrderGpuHeuristics.OverrideCapabilitiesForTesting(capability);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
GpuPow2ModStatus status = PrimeOrderGpuHeuristics.TryPow2ModBatch(gpu, exponents, prime, remainders);
// Action act = () =>
// {
// const ulong prime = 5UL;
// MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
// PrimeOrderGpuHeuristics.TryPow2ModBatch(exponents, prime, remainders, divisorData);
// };
status.Should().Be(GpuPow2ModStatus.Overflow);
remainders[0].Should().Be(UInt128.Zero);
remainders[1].Should().Be(UInt128.Zero);
}
finally
{
PrimeOrderGpuHeuristics.ResetCapabilitiesForTesting();
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
// act.Should().Throw<ArgumentException>();
// }
// This will never happen in production code because the caller ensures the remainder span is large enough.
// [Fact]
// public void TryPow2ModBatch_throws_when_remainder_span_is_too_small()
// {
// ulong[] remainders = new ulong[1];
// ulong[] exponents = { 1UL, 2UL };
[Fact]
public void Calculate_falls_back_to_cpu_when_gpu_overflow_is_marked()
{
const ulong prime = 7UL;
try
{
PrimeOrderGpuHeuristics.OverflowRegistry[prime] = 0;
// Action act = () =>
// {
// const ulong prime = 5UL;
// MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
// PrimeOrderGpuHeuristics.TryPow2ModBatch(exponents, prime, remainders, divisorData);
// };
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
ulong result = PrimeOrderCalculator.Calculate(prime, null, divisorData, PrimeOrderCalculator.PrimeOrderSearchConfig.HeuristicDefault, PrimeOrderCalculator.PrimeOrderHeuristicDevice.Gpu);
// act.Should().Throw<ArgumentException>();
// }
result.Should().Be(3UL);
}
finally
{
PrimeOrderGpuHeuristics.OverflowRegistry.TryRemove(prime, out _);
}
}
[Fact]
public void Calculate_falls_back_to_cpu_when_gpu_overflow_is_marked()
{
const ulong prime = 7UL;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
PrimeOrderGpuHeuristics.OverflowRegistry[prime] = 0;
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(prime);
ulong result = PrimeOrderCalculatorGpu.Calculate(gpu, prime, null, divisorData, PrimeOrderCalculatorConfig.HeuristicDefault);
result.Should().Be(3UL);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
PrimeOrderGpuHeuristics.OverflowRegistry.TryRemove(prime, out _);
}
}
}
@@ -1,5 +1,5 @@
using FluentAssertions;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests.Gpu;
@@ -7,44 +7,39 @@ namespace PerfectNumbers.Core.Tests.Gpu;
[Trait("Category", "Fast")]
public class PrimeTesterGpuTests
{
[Fact]
public void IsPrimeGpu_accepts_known_primes()
{
GpuContextPool.ForceCpu = false;
try
{
var tester = new PrimeTester();
ulong[] primes = [31UL, 61UL, 89UL, 107UL, 127UL, 521UL];
foreach (ulong prime in primes)
{
tester.IsPrimeGpu(prime, CancellationToken.None).Should().BeTrue();
}
}
finally
{
GpuContextPool.ForceCpu = false;
GpuContextPool.DisposeAll();
}
}
[Fact]
public void IsPrimeGpu_rejects_composites()
{
GpuContextPool.ForceCpu = false;
try
{
var tester = new PrimeTester();
ulong[] composites = [33UL, 39UL, 51UL, 77UL, 91UL];
foreach (ulong composite in composites)
{
tester.IsPrimeGpu(composite, CancellationToken.None).Should().BeFalse();
}
}
finally
{
GpuContextPool.ForceCpu = false;
GpuContextPool.DisposeAll();
}
}
[Fact]
public void IsPrimeGpu_accepts_known_primes()
{
ulong[] primes = [31UL, 61UL, 89UL, 107UL, 127UL, 521UL];
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
foreach (ulong prime in primes)
{
PrimeTester.IsPrimeGpu(gpu, prime).Should().BeTrue();
}
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Fact]
public void IsPrimeGpu_rejects_composites()
{
ulong[] composites = [33UL, 39UL, 51UL, 77UL, 91UL];
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
foreach (ulong composite in composites)
{
PrimeTester.IsPrimeGpu(gpu, composite).Should().BeFalse();
}
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
@@ -1,6 +1,6 @@
using FluentAssertions;
using PerfectNumbers.Core;
using Xunit;
using PerfectNumbers.Core.Gpu.Kernels;
namespace PerfectNumbers.Core.Tests.Gpu;
@@ -19,7 +19,7 @@ public class ULongExtensionsGpuTests
public void Pow2ModWindowedGpu_matches_montgomery_cpu_for_known_values(ulong exponent, ulong modulus)
{
MontgomeryDivisorData divisor = MontgomeryDivisorData.FromModulus(modulus);
ulong expected = exponent.Pow2MontgomeryModWindowedCpu(divisor, keepMontgomery: false);
ulong expected = exponent.Pow2MontgomeryModWindowedConvertToStandardCpu(divisor);
exponent.Pow2ModWindowedGpu(modulus).Should().Be(expected);
}
@@ -55,7 +55,7 @@ public class ULongExtensionsGpuTests
MontgomeryDivisorData divisor = MontgomeryDivisorData.FromModulus(modulus);
foreach (ulong exponent in exponents)
{
ulong expected = exponent.Pow2MontgomeryModWindowedCpu(divisor, keepMontgomery: false);
ulong expected = exponent.Pow2MontgomeryModWindowedConvertToStandardCpu(divisor);
exponent.Pow2ModWindowedGpu(modulus).Should().Be(expected);
}
}
+18 -18
View File
@@ -7,26 +7,26 @@ namespace PerfectNumbers.Core.Tests;
[Collection("GpuNtt")]
public class GpuKernelPoolTests
{
[Fact]
[Trait("Category", "Fast")]
public void EnsureSmallCyclesOnDevice_returns_same_view_on_subsequent_calls()
{
GpuContextPool.GpuContextLease lease = GpuContextPool.RentPreferred(preferCpu: true);
try
{
var accelerator = lease.Accelerator;
// [Fact]
// [Trait("Category", "Fast")]
// public void EnsureSmallCyclesOnDevice_returns_same_view_on_subsequent_calls()
// {
// GpuContextPool.GpuContextLease lease = GpuContextPool.RentPreferred(preferCpu: true);
// try
// {
// var accelerator = lease.Accelerator;
var first = GpuKernelPool.EnsureSmallCyclesOnDevice(accelerator);
var second = GpuKernelPool.EnsureSmallCyclesOnDevice(accelerator);
// var first = GpuKernelPool.EnsureSmallCyclesOnDevice(accelerator);
// var second = GpuKernelPool.EnsureSmallCyclesOnDevice(accelerator);
second.Equals(first).Should().BeTrue();
second.Length.Should().Be(MersenneDivisorCycles.SmallDivisorsMax + 1);
}
finally
{
lease.Dispose();
}
}
// second.Equals(first).Should().BeTrue();
// second.Length.Should().Be(MersenneDivisorCycles.SmallDivisorsMax + 1);
// }
// finally
// {
// lease.Dispose();
// }
// }
[Fact]
[Trait("Category", "Fast")]
@@ -17,19 +17,31 @@ public class GpuWorkLimiterTests
var startedSecond = new TaskCompletionSource<bool>();
var sw = new Stopwatch();
using var first = GpuWorkLimiter.Acquire();
var first = GpuWorkLimiter.Acquire();
sw.Start();
var secondTask = Task.Run(() =>
{
using var second = GpuWorkLimiter.Acquire();
startedSecond.TrySetResult(true);
var second = GpuWorkLimiter.Acquire();
try
{
startedSecond.TrySetResult(true);
}
finally
{
second.Dispose();
}
});
await Task.Delay(50);
startedSecond.Task.IsCompleted.Should().BeFalse();
first.Dispose();
try
{
await Task.Delay(50);
startedSecond.Task.IsCompleted.Should().BeFalse();
}
finally
{
first.Dispose();
}
await secondTask.WaitAsync(TimeSpan.FromSeconds(1));
sw.Stop();
@@ -0,0 +1,232 @@
using FluentAssertions;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class HeuristicCombinedPrimeTesterTests
{
[Theory]
[Trait("Category", "Fast")]
[InlineData((byte)1)]
[InlineData((byte)7)]
[InlineData((byte)9)]
public void Enumerator_uses_one_a_one_b_schedule_by_default(byte lastDigit)
{
var enumerator = HeuristicCombinedPrimeTester.CreateHeuristicDivisorEnumerator(500UL * 500UL, lastDigit);
var results = new List<HeuristicCombinedPrimeTester.HeuristicDivisorCandidate>(32);
while (results.Count < 20 && enumerator.TryGetNext(out var candidate))
{
results.Add(candidate);
}
const int segmentsToCheck = 6;
results.Count.Should().BeGreaterThanOrEqualTo(4 + segmentsToCheck * 2);
results[0].Value.Should().Be(3UL);
results[0].Group.Should().Be(HeuristicCombinedPrimeTester.HeuristicDivisorGroup.GroupAConstant);
results[1].Value.Should().Be(7UL);
results[1].Group.Should().Be(HeuristicCombinedPrimeTester.HeuristicDivisorGroup.GroupAConstant);
results[2].Value.Should().Be(11UL);
results[2].Group.Should().Be(HeuristicCombinedPrimeTester.HeuristicDivisorGroup.GroupAConstant);
results[3].Value.Should().Be(13UL);
results[3].Group.Should().Be(HeuristicCombinedPrimeTester.HeuristicDivisorGroup.GroupAConstant);
int index = 4;
for (int segment = 0; segment < segmentsToCheck; segment++)
{
HeuristicCombinedPrimeTester.HeuristicDivisorCandidate groupACandidate = results[index++];
groupACandidate.Value.Should().BeGreaterThan(13UL);
(groupACandidate.Value % 10UL).Should().Be(3UL);
groupACandidate.Group.Should().NotBe(HeuristicCombinedPrimeTester.HeuristicDivisorGroup.GroupB);
HeuristicCombinedPrimeTester.HeuristicDivisorCandidate groupBCandidate = results[index++];
groupBCandidate.Value.Should().BeGreaterThan(13UL);
(groupBCandidate.Value % 10UL).Should().NotBe(3UL);
groupBCandidate.Group.Should().Be(HeuristicCombinedPrimeTester.HeuristicDivisorGroup.GroupB);
}
}
[Theory]
[Trait("Category", "Fast")]
[InlineData((byte)1)]
[InlineData((byte)7)]
[InlineData((byte)9)]
public void One_a_one_b_pattern_interleaves_group_a_and_group_b_values(byte lastDigit)
{
ReadOnlySpan<ulong> combined = HeuristicCombinedPrimeTester.GetCombinedDivisors(
lastDigit,
HeuristicCombinedPrimeTester.CombinedDivisorPattern.OneAOneB);
combined.Length.Should().BeGreaterThan(18);
combined[0].Should().Be(3UL);
combined[1].Should().Be(7UL);
combined[2].Should().Be(11UL);
combined[3].Should().Be(13UL);
int index = 4;
const int segmentsToCheck = 6;
for (int segment = 0; segment < segmentsToCheck; segment++)
{
ulong groupAValue = combined[index++];
groupAValue.Should().BeGreaterThan(13UL);
(groupAValue % 10UL).Should().Be(3UL);
ulong groupBValue = combined[index++];
groupBValue.Should().BeGreaterThan(13UL);
(groupBValue % 10UL).Should().NotBe(3UL);
}
}
[Theory]
[Trait("Category", "Fast")]
[InlineData((byte)1)]
[InlineData((byte)7)]
[InlineData((byte)9)]
public void Two_a_one_b_pattern_interleaves_two_group_a_values_before_group_b(byte lastDigit)
{
ReadOnlySpan<ulong> combined = HeuristicCombinedPrimeTester.GetCombinedDivisors(
lastDigit,
HeuristicCombinedPrimeTester.CombinedDivisorPattern.TwoAOneB);
combined.Length.Should().BeGreaterThan(20);
combined[0].Should().Be(3UL);
combined[1].Should().Be(7UL);
combined[2].Should().Be(11UL);
combined[3].Should().Be(13UL);
int index = 4;
const int segmentsToCheck = 5;
for (int segment = 0; segment < segmentsToCheck; segment++)
{
for (int i = 0; i < 2; i++)
{
ulong groupAValue = combined[index++];
groupAValue.Should().BeGreaterThan(13UL);
(groupAValue % 10UL).Should().Be(3UL);
}
ulong groupBValue = combined[index++];
groupBValue.Should().BeGreaterThan(13UL);
(groupBValue % 10UL).Should().NotBe(3UL);
}
}
[Theory]
[Trait("Category", "Fast")]
[InlineData((byte)1)]
[InlineData((byte)7)]
[InlineData((byte)9)]
public void Three_a_two_b_pattern_interleaves_three_group_a_values_before_two_group_b_values(byte lastDigit)
{
ReadOnlySpan<ulong> combined = HeuristicCombinedPrimeTester.GetCombinedDivisors(
lastDigit,
HeuristicCombinedPrimeTester.CombinedDivisorPattern.ThreeATwoB);
combined.Length.Should().BeGreaterThan(28);
combined[0].Should().Be(3UL);
combined[1].Should().Be(7UL);
combined[2].Should().Be(11UL);
combined[3].Should().Be(13UL);
int index = 4;
const int segmentsToCheck = 4;
for (int segment = 0; segment < segmentsToCheck; segment++)
{
for (int i = 0; i < 3; i++)
{
ulong groupAValue = combined[index++];
groupAValue.Should().BeGreaterThan(13UL);
(groupAValue % 10UL).Should().Be(3UL);
}
for (int i = 0; i < 2; i++)
{
ulong groupBValue = combined[index++];
groupBValue.Should().BeGreaterThan(13UL);
(groupBValue % 10UL).Should().NotBe(3UL);
}
}
}
[Theory]
[Trait("Category", "Fast")]
[InlineData((byte)1)]
[InlineData((byte)7)]
[InlineData((byte)9)]
public void Three_a_one_b_pattern_interleaves_three_group_a_values_before_group_b(byte lastDigit)
{
ReadOnlySpan<ulong> combined = HeuristicCombinedPrimeTester.GetCombinedDivisors(
lastDigit,
HeuristicCombinedPrimeTester.CombinedDivisorPattern.ThreeAOneB);
combined.Length.Should().BeGreaterThan(24);
combined[0].Should().Be(3UL);
combined[1].Should().Be(7UL);
combined[2].Should().Be(11UL);
combined[3].Should().Be(13UL);
int index = 4;
const int segmentsToCheck = 4;
for (int segment = 0; segment < segmentsToCheck; segment++)
{
for (int i = 0; i < 3; i++)
{
ulong groupAValue = combined[index++];
groupAValue.Should().BeGreaterThan(13UL);
(groupAValue % 10UL).Should().Be(3UL);
}
ulong groupBValue = combined[index++];
groupBValue.Should().BeGreaterThan(13UL);
(groupBValue % 10UL).Should().NotBe(3UL);
}
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL)]
[InlineData(1UL)]
[InlineData(2UL)]
[InlineData(3UL)]
[InlineData(4UL)]
[InlineData(5UL)]
[InlineData(8UL)]
[InlineData(9UL)]
[InlineData(15UL)]
[InlineData(16UL)]
[InlineData(17UL)]
[InlineData(24UL)]
[InlineData(25UL)]
[InlineData(26UL)]
[InlineData(255UL)]
[InlineData(256UL)]
[InlineData(257UL)]
[InlineData(1_000UL)]
[InlineData(1_048_575UL)]
[InlineData(1_048_576UL)]
[InlineData(1_048_577UL)]
[InlineData(4_000_000UL)]
[InlineData(4_000_001UL)]
[InlineData(4_000_004UL)]
[InlineData(65_535_999UL)]
[InlineData(65_536_000UL)]
[InlineData(65_536_001UL)]
[InlineData(4_294_967_295UL)]
[InlineData(4_294_967_296UL)]
[InlineData(4_294_967_297UL)]
[InlineData(18_446_744_073_709_551_615UL)]
[InlineData(18_446_744_073_709_551_614UL)]
[InlineData(18_446_744_073_709_551_613UL)]
public void ComputeHeuristicDivisorSquareLimit_returns_input_value(ulong value)
{
ulong limit = HeuristicCombinedPrimeTester.ComputeHeuristicDivisorSquareLimit(value);
limit.Should().Be(value);
}
}
@@ -1,107 +1,110 @@
using FluentAssertions;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class MersenneDivisorCyclesGenerateGpuTests
{
[Fact]
[Trait("Category", "Fast")]
public void GenerateGpu_produces_expected_cycles_for_small_range()
{
string path = Path.GetTempFileName();
try
{
MersenneDivisorCycles.GenerateGpu(path, maxDivisor: 50UL, batchSize: 16, skipCount: 0, nextPosition: 0);
var pairs = new List<(ulong divisor, ulong cycle)>();
using var stream = new FileStream(path, FileMode.Open, FileAccess.Read);
using var reader = new BinaryReader(stream);
while (stream.Position < stream.Length)
{
ulong d = reader.ReadUInt64();
ulong c = reader.ReadUInt64();
pairs.Add((d, c));
}
[Fact]
[Trait("Category", "Fast")]
public void GenerateGpu_produces_expected_cycles_for_small_range()
{
string path = Path.GetTempFileName();
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
MersenneDivisorCyclesGpu.GenerateGpu(path, maxDivisor: 50UL, batchSize: 16, skipCount: 0, nextPosition: 0);
var pairs = new List<(ulong divisor, ulong cycle)>();
using var stream = new FileStream(path, FileMode.Open, FileAccess.Read);
using var reader = new BinaryReader(stream);
while (stream.Position < stream.Length)
{
ulong d = reader.ReadUInt64();
ulong c = reader.ReadUInt64();
pairs.Add((d, c));
}
var expected = new List<ulong>();
for (ulong d = 3; d <= 50; d++)
{
if ((d & 1UL) == 0UL || d % 3UL == 0UL || d % 5UL == 0UL || d % 7UL == 0UL || d % 11UL == 0UL)
{
continue;
}
var expected = new List<ulong>();
for (ulong d = 3; d <= 50; d++)
{
if ((d & 1UL) == 0UL || d % 3UL == 0UL || d % 5UL == 0UL || d % 7UL == 0UL || d % 11UL == 0UL)
{
continue;
}
expected.Add(d);
}
expected.Add(d);
}
pairs.Should().HaveCount(expected.Count);
foreach (var pair in pairs)
{
expected.Should().Contain(pair.divisor);
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(pair.divisor);
pair.cycle.Should().Be(MersenneDivisorCycles.CalculateCycleLength(pair.divisor, divisorData));
}
}
finally
{
if (File.Exists(path))
{
File.Delete(path);
}
}
}
pairs.Should().HaveCount(expected.Count);
foreach (var pair in pairs)
{
expected.Should().Contain(pair.divisor);
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(pair.divisor);
pair.cycle.Should().Be(MersenneDivisorCyclesCpu.CalculateCycleLength(pair.divisor, divisorData));
}
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
if (File.Exists(path))
{
File.Delete(path);
}
}
}
[Fact]
[Trait("Category", "Fast")]
public void Generate_produces_unique_cycles_for_expected_divisors()
{
string path = Path.GetTempFileName();
try
{
MersenneDivisorCycles.Generate(path, maxDivisor: 50UL, threads: 4);
[Fact]
[Trait("Category", "Fast")]
public void Generate_produces_unique_cycles_for_expected_divisors()
{
string path = Path.GetTempFileName();
try
{
MersenneDivisorCyclesCpu.Generate(path, maxDivisor: 50UL, threads: 4);
var pairs = new List<(ulong divisor, ulong cycle)>();
using var stream = new FileStream(path, FileMode.Open, FileAccess.Read);
using var reader = new BinaryReader(stream);
while (stream.Position < stream.Length)
{
ulong divisor = reader.ReadUInt64();
ulong cycle = reader.ReadUInt64();
pairs.Add((divisor, cycle));
}
var pairs = new List<(ulong divisor, ulong cycle)>();
using var stream = new FileStream(path, FileMode.Open, FileAccess.Read);
using var reader = new BinaryReader(stream);
while (stream.Position < stream.Length)
{
ulong divisor = reader.ReadUInt64();
ulong cycle = reader.ReadUInt64();
pairs.Add((divisor, cycle));
}
var expected = new List<ulong>();
for (ulong divisor = 3; divisor <= 50; divisor++)
{
if ((divisor & 1UL) == 0UL || divisor % 3UL == 0UL || divisor % 5UL == 0UL || divisor % 7UL == 0UL || divisor % 11UL == 0UL)
{
continue;
}
var expected = new List<ulong>();
for (ulong divisor = 3; divisor <= 50; divisor++)
{
if ((divisor & 1UL) == 0UL || divisor % 3UL == 0UL || divisor % 5UL == 0UL || divisor % 7UL == 0UL || divisor % 11UL == 0UL)
{
continue;
}
expected.Add(divisor);
}
expected.Add(divisor);
}
pairs.Should().HaveCount(expected.Count);
pairs.Should().HaveCount(expected.Count);
HashSet<ulong> uniqueDivisors = new();
foreach (var pair in pairs)
{
uniqueDivisors.Add(pair.divisor).Should().BeTrue();
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(pair.divisor);
pair.cycle.Should().Be(MersenneDivisorCycles.CalculateCycleLength(pair.divisor, divisorData));
}
HashSet<ulong> uniqueDivisors = new();
foreach (var pair in pairs)
{
uniqueDivisors.Add(pair.divisor).Should().BeTrue();
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(pair.divisor);
pair.cycle.Should().Be(MersenneDivisorCyclesCpu.CalculateCycleLength(pair.divisor, divisorData));
}
uniqueDivisors.Should().BeEquivalentTo(expected);
uniqueDivisors.Should().BeEquivalentTo(expected);
var (_, completeCount) = MersenneDivisorCycles.FindLast(path);
completeCount.Should().Be(expected.Count);
}
finally
{
if (File.Exists(path))
{
File.Delete(path);
}
}
}
var (_, completeCount) = MersenneDivisorCyclesCpu.FindLast(path);
completeCount.Should().Be(expected.Count);
}
finally
{
if (File.Exists(path))
{
File.Delete(path);
}
}
}
}
@@ -1,26 +1,35 @@
using FluentAssertions;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class MersenneDivisorCyclesTests
{
public static IEnumerable<object[]> Divisors() =>
new[]
{
new object[] {3UL, 2UL},
new object[] {7UL, 3UL},
new object[] {11UL, 10UL},
};
public static IEnumerable<object[]> Divisors() =>
new[]
{
new object[] {3UL, 2UL},
new object[] {7UL, 3UL},
new object[] {11UL, 10UL},
};
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(Divisors))]
public void CalculateCycleLength_returns_expected_value(ulong divisor, ulong expected)
{
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(divisor);
MersenneDivisorCycles.CalculateCycleLength(divisor, divisorData).Should().Be(expected);
MersenneDivisorCycles.CalculateCycleLengthGpu(divisor).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(Divisors))]
public void CalculateCycleLength_returns_expected_value(ulong divisor, ulong expected)
{
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(divisor);
MersenneDivisorCyclesCpu.CalculateCycleLength(divisor, divisorData).Should().Be(expected);
MersenneDivisorCyclesGpu.CalculateCycleLength(gpu, divisor, divisorData).Should().Be(expected);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
@@ -1,4 +1,6 @@
using System.Numerics;
using FluentAssertions;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
@@ -11,7 +13,7 @@ public class MersenneNumberDivisorByDivisorTesterTests
{
var candidates = new List<ulong> { 5UL, 7UL, 11UL, 13UL };
var tester = new FakeTester();
var results = new List<(ulong Prime, bool Searched, bool Detailed, bool Passed)>();
var results = new List<(ulong Prime, bool Searched, bool Detailed, bool Passed, BigInteger Divisor)>();
int compositeMarks = 0;
int clearedMarks = 0;
@@ -22,7 +24,7 @@ public class MersenneNumberDivisorByDivisorTesterTests
startPrime: 0UL,
markComposite: () => compositeMarks++,
clearComposite: () => clearedMarks++,
printResult: (prime, searched, detailed, passed) => results.Add((prime, searched, detailed, passed)),
printResult: (prime, searched, detailed, passed, divisor) => results.Add((prime, searched, detailed, passed, divisor)),
threadCount: 1,
primesPerTask: 2);
@@ -30,12 +32,12 @@ public class MersenneNumberDivisorByDivisorTesterTests
compositeMarks.Should().Be(2);
clearedMarks.Should().Be(2);
results.Should().Equal(
new[]
new (ulong Prime, bool Searched, bool Detailed, bool Passed, BigInteger Divisor)[]
{
(5UL, true, true, true),
(7UL, true, true, false),
(11UL, true, true, false),
(13UL, true, true, true),
(5UL, true, true, true, BigInteger.Zero),
(7UL, true, true, false, new BigInteger(7)),
(11UL, true, true, false, new BigInteger(11)),
(13UL, true, true, true, BigInteger.Zero),
});
}
@@ -45,31 +47,47 @@ public class MersenneNumberDivisorByDivisorTesterTests
public int BatchSize { get; set; }
public BigInteger MinK { get; set; }
public string? StateFilePath { get; set; }
public void ResetStateTracking()
{
}
public void ResumeFromState(in string stateFile, in BigInteger lastSavedK, in BigInteger minK)
{
}
public ulong DivisorLimit => ConfiguredMaxPrime + 100UL;
public void ConfigureFromMaxPrime(ulong maxPrime)
{
ConfiguredMaxPrime = maxPrime;
}
public ulong GetAllowedMaxDivisor(ulong prime)
{
return DivisorLimit;
}
public bool IsPrime(ulong prime, out bool divisorsExhausted)
public bool IsPrime(ulong prime, out bool divisorsExhausted, out BigInteger divisor)
{
divisorsExhausted = true;
return prime % 7UL != 0UL && prime % 11UL != 0UL;
if (prime % 7UL == 0UL)
{
divisor = 7UL;
return false;
}
if (prime % 11UL == 0UL)
{
divisor = 11UL;
return false;
}
divisor = 0UL;
return true;
}
public IMersenneNumberDivisorByDivisorTester.IDivisorScanSession CreateDivisorSession()
public IMersenneNumberDivisorByDivisorTester.IDivisorScanSession CreateDivisorSession(PrimeOrderCalculatorAccelerator gpu)
{
return new DummySession();
}
public void PrepareCandidates(in ReadOnlySpan<ulong> primes, Span<ulong> allowedMaxValues)
public void PrepareCandidates(ulong maxPrime, in ReadOnlySpan<ulong> primes, Span<ulong> allowedMaxValues)
{
ConfiguredMaxPrime = maxPrime;
for (int i = 0; i < primes.Length; i++)
{
allowedMaxValues[i] = 100UL;
@@ -78,12 +96,12 @@ public class MersenneNumberDivisorByDivisorTesterTests
private sealed class DummySession : IMersenneNumberDivisorByDivisorTester.IDivisorScanSession
{
public void CheckDivisor(ulong divisor, in MontgomeryDivisorData divisorData, ulong divisorCycle, in ReadOnlySpan<ulong> primes, Span<byte> hits)
public bool CheckDivisor(ulong divisor, in MontgomeryDivisorData divisorData, ulong divisorCycle, in ReadOnlySpan<ulong> primes)
{
throw new NotSupportedException();
}
public void Dispose()
public void Return()
{
}
}
@@ -1,83 +1,138 @@
using System.Numerics;
using System.Reflection;
using FluentAssertions;
using PerfectNumbers.Core.Cpu;
using MersenneNumberDivisorByDivisorCpuTesterWithCpuOrder = PerfectNumbers.Core.Cpu.MersenneNumberDivisorByDivisorCpuTesterWithForSequentialDivisorSetForCpuOrder;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class MersenneNumberDivisorCpuTesterTests
{
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_tester_tracks_divisors_across_primes()
{
var tester = new MersenneNumberDivisorByDivisorCpuTester();
tester.ConfigureFromMaxPrime(11UL);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_tester_tracks_divisors_across_primes()
{
var tester = new MersenneNumberDivisorByDivisorCpuTesterWithCpuOrder();
tester.IsPrime(5UL, out bool divisorsExhausted).Should().BeTrue();
divisorsExhausted.Should().BeTrue();
ulong[] primes = [5UL, 7UL, 11UL];
ulong[] allowedMax = new ulong[primes.Length];
tester.PrepareCandidates(maxPrime: 11UL, primes, allowedMax);
tester.IsPrime(7UL, out divisorsExhausted).Should().BeTrue();
divisorsExhausted.Should().BeTrue();
tester.ResumeFromState(Path.Combine(Path.GetTempPath(), "bydivisor-cpu-tests.bin"), BigInteger.Zero, BigInteger.One);
tester.ResetStateTracking();
tester.IsPrime(11UL, out divisorsExhausted).Should().BeFalse();
divisorsExhausted.Should().BeTrue();
}
tester.IsPrime(5UL, out bool divisorsExhausted, out BigInteger divisor).Should().BeTrue();
divisorsExhausted.Should().BeTrue();
divisor.Should().Be(BigInteger.Zero);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_checks_divisors_across_primes()
{
var tester = new MersenneNumberDivisorByDivisorCpuTester();
tester.ConfigureFromMaxPrime(13UL);
tester.IsPrime(7UL, out divisorsExhausted, out divisor).Should().BeTrue();
divisorsExhausted.Should().BeTrue();
divisor.Should().Be(BigInteger.Zero);
using var session = tester.CreateDivisorSession();
ulong[] primes = { 5UL, 7UL, 11UL, 13UL };
byte[] hits = new byte[primes.Length];
tester.IsPrime(11UL, out divisorsExhausted, out divisor).Should().BeFalse();
divisorsExhausted.Should().BeTrue();
divisor.Should().BeGreaterThan(BigInteger.Zero);
}
ulong cycle23 = MersenneDivisorCycles.CalculateCycleLength(23UL, MontgomeryDivisorData.FromModulus(23UL));
session.CheckDivisor(23UL, MontgomeryDivisorData.FromModulus(23UL), cycle23, primes, hits);
hits.Should().ContainInOrder(new byte[] { 0, 0, 1, 0 });
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_checks_divisors_across_primes()
{
var session = new MersenneCpuDivisorScanSessionWithCpuOrder();
Array.Fill(hits, (byte)0);
ulong cycle31 = MersenneDivisorCycles.CalculateCycleLength(31UL, MontgomeryDivisorData.FromModulus(31UL));
session.CheckDivisor(31UL, MontgomeryDivisorData.FromModulus(31UL), cycle31, primes, hits);
hits.Should().ContainInOrder(new byte[] { 1, 0, 0, 0 });
}
ulong[] primes = [5UL, 7UL, 11UL, 13UL];
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_marks_mersenne_numbers_divisible_by_seven_as_composite()
{
var tester = new MersenneNumberDivisorByDivisorCpuTester();
tester.ConfigureFromMaxPrime(43UL);
ulong cycle23 = MersenneDivisorCyclesCpu.CalculateCycleLength(23UL, MontgomeryDivisorData.FromModulus(23UL));
session.CheckDivisor(23UL, MontgomeryDivisorData.FromModulus(23UL), cycle23, primes).Should().BeTrue();
using var session = tester.CreateDivisorSession();
ulong[] exponents = { 6UL, 7UL, 9UL, 10UL, 12UL };
byte[] hits = new byte[exponents.Length];
ulong[] primesWithoutHit = [5UL, 7UL, 13UL];
session.CheckDivisor(23UL, MontgomeryDivisorData.FromModulus(23UL), cycle23, primesWithoutHit).Should().BeFalse();
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(7UL);
ulong cycle = MersenneDivisorCycles.CalculateCycleLength(7UL, divisorData);
session.CheckDivisor(7UL, divisorData, cycle, exponents, hits);
ulong cycle31 = MersenneDivisorCyclesCpu.CalculateCycleLength(31UL, MontgomeryDivisorData.FromModulus(31UL));
session.CheckDivisor(31UL, MontgomeryDivisorData.FromModulus(31UL), cycle31, primes).Should().BeTrue();
hits.Should().Equal(new byte[] { 1, 0, 1, 0, 1 });
}
ulong[] primesBeforeHit = [7UL, 11UL, 13UL];
session.CheckDivisor(31UL, MontgomeryDivisorData.FromModulus(31UL), cycle31, primesBeforeHit).Should().BeFalse();
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_marks_mersenne_numbers_divisible_by_eleven_as_composite()
{
var tester = new MersenneNumberDivisorByDivisorCpuTester();
tester.ConfigureFromMaxPrime(61UL);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_marks_mersenne_numbers_divisible_by_seven_as_composite()
{
var session = new MersenneCpuDivisorScanSessionWithCpuOrder();
using var session = tester.CreateDivisorSession();
ulong[] exponents = { 10UL, 11UL, 20UL, 21UL, 30UL };
byte[] hits = new byte[exponents.Length];
ulong[] exponents = [6UL, 7UL, 9UL, 10UL, 12UL];
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(11UL);
ulong cycle = MersenneDivisorCycles.CalculateCycleLength(11UL, divisorData);
session.CheckDivisor(11UL, divisorData, cycle, exponents, hits);
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(7UL);
ulong cycle = MersenneDivisorCyclesCpu.CalculateCycleLength(7UL, divisorData);
session.CheckDivisor(7UL, divisorData, cycle, exponents).Should().BeTrue();
ulong[] nonDivisibleExponents = [5UL, 11UL];
session.CheckDivisor(7UL, divisorData, cycle, nonDivisibleExponents).Should().BeFalse();
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_marks_mersenne_numbers_divisible_by_eleven_as_composite()
{
var session = new MersenneCpuDivisorScanSessionWithCpuOrder();
ulong[] exponents = [10UL, 11UL, 20UL, 21UL, 30UL];
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(11UL);
ulong cycle = MersenneDivisorCyclesCpu.CalculateCycleLength(11UL, divisorData);
session.CheckDivisor(11UL, divisorData, cycle, exponents).Should().BeTrue();
ulong[] nonDivisibleExponents = [5UL, 17UL];
session.CheckDivisor(11UL, divisorData, cycle, nonDivisibleExponents).Should().BeFalse();
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_does_not_mark_mersenne_prime_as_composite_via_self_divisor()
{
var tester = new MersenneNumberDivisorByDivisorCpuTesterWithCpuOrder();
tester.DivisorLimit = (BigInteger.One << 30) - BigInteger.One;
BigInteger kSelf = ((BigInteger.One << 31) - 2) / 62; // (2^p - 2) / (2p) for p=31.
tester.ResumeFromState(Path.Combine(Path.GetTempPath(), "bydivisor-selfdivisor.bin"), BigInteger.Zero, kSelf);
tester.ResetStateTracking();
tester.IsPrime(31UL, out bool divisorsExhausted, out BigInteger divisor).Should().BeTrue();
divisorsExhausted.Should().BeTrue();
divisor.Should().Be(BigInteger.Zero);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(127UL, 127, true)]
[InlineData(127UL, 89, false)]
[InlineData(89UL, 61, false)]
public void IsMersenneValue_flags_only_matching_exponent_as_trivial(ulong prime, int exponent, bool expected)
{
BigInteger divisor = (BigInteger.One << exponent) - BigInteger.One;
InvokeIsMersenneValue(prime, divisor).Should().Be(expected);
}
[Fact]
[Trait("Category", "Fast")]
public void IsMersenneValue_ignores_mersenne_shaped_divisors_above_prime()
{
ulong prime = 89UL;
BigInteger divisor = (BigInteger.One << 101) - BigInteger.One;
InvokeIsMersenneValue(prime, divisor).Should().BeFalse();
}
private static bool InvokeIsMersenneValue(ulong prime, BigInteger divisor)
{
MethodInfo? method = typeof(MersenneNumberDivisorByDivisorCpuTesterWithCpuOrder)
.GetMethod("IsMersenneValue", BindingFlags.NonPublic | BindingFlags.Static);
method.Should().NotBeNull("IsMersenneValue should exist as a private static helper on the tester type.");
return (bool)method!.Invoke(null, new object[] { prime, divisor })!;
}
hits.Should().Equal(new byte[] { 1, 0, 1, 0, 1 });
}
}
@@ -1,310 +1,402 @@
using System.Numerics;
using System.Reflection;
using FluentAssertions;
using PerfectNumbers.Core.Cpu;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class MersenneNumberDivisorGpuTesterTests
{
[Theory]
[InlineData(33UL, 7UL, true)]
[InlineData(35UL, 31UL, true)]
[InlineData(37UL, 223UL, true)]
[InlineData(33UL, 13UL, false)]
[InlineData(35UL, 73UL, false)]
[InlineData(37UL, 227UL, false)]
[Trait("Category", "Fast")]
public void IsDivisible_returns_expected(ulong exponent, ulong divisor, bool expected)
{
var tester = new MersenneNumberDivisorGpuTester();
ReadOnlyGpuUInt128 divisorValue = new ReadOnlyGpuUInt128(divisor);
tester.IsDivisible(exponent, in divisorValue).Should().Be(expected);
}
[Theory]
[InlineData(33UL, 7UL, true)]
[InlineData(35UL, 31UL, true)]
[InlineData(37UL, 223UL, true)]
[InlineData(33UL, 13UL, false)]
[InlineData(35UL, 73UL, false)]
[InlineData(37UL, 227UL, false)]
[Trait("Category", "Fast")]
public void IsDivisible_returns_expected(ulong exponent, ulong divisor, bool expected)
{
var tester = new MersenneNumberDivisorGpuTester();
ReadOnlyGpuUInt128 divisorValue = new ReadOnlyGpuUInt128(divisor);
tester.IsDivisible(exponent, in divisorValue).Should().Be(expected);
}
[Fact]
[Trait("Category", "Fast")]
public void IsDivisible_handles_large_divisors()
{
var tester = new MersenneNumberDivisorGpuTester();
UInt128 divisor = (UInt128.One << 65) - UInt128.One;
ReadOnlyGpuUInt128 divisorValue = new ReadOnlyGpuUInt128(divisor);
tester.IsDivisible(65UL, in divisorValue).Should().BeTrue();
divisorValue = new ReadOnlyGpuUInt128(divisor + 2); // Reusing divisorValue for the shifted candidate.
tester.IsDivisible(65UL, in divisorValue).Should().BeFalse();
}
[Fact]
[Trait("Category", "Fast")]
public void IsDivisible_handles_large_divisors()
{
var tester = new MersenneNumberDivisorGpuTester();
UInt128 divisor = (UInt128.One << 65) - UInt128.One;
ReadOnlyGpuUInt128 divisorValue = new ReadOnlyGpuUInt128(divisor);
tester.IsDivisible(65UL, in divisorValue).Should().BeTrue();
divisorValue = new ReadOnlyGpuUInt128(divisor + 2); // Reusing divisorValue for the shifted candidate.
tester.IsDivisible(65UL, in divisorValue).Should().BeFalse();
}
[Fact]
[Trait("Category", "Fast")]
public void IsPrime_sets_divisorsExhausted_false_when_search_range_not_exhausted()
{
var tester = new MersenneNumberDivisorGpuTester();
typeof(MersenneNumberDivisorGpuTester)
.GetField("_divisorCandidates", BindingFlags.NonPublic | BindingFlags.Static)!
.SetValue(null, Array.Empty<(ulong, uint)>());
[Fact]
[Trait("Category", "Fast")]
public void IsPrime_sets_divisorsExhausted_false_when_search_range_not_exhausted()
{
var tester = new MersenneNumberDivisorGpuTester();
typeof(MersenneNumberDivisorGpuTester)
.GetField("_divisorCandidates", BindingFlags.NonPublic | BindingFlags.Static)!
.SetValue(null, Array.Empty<(ulong, uint)>());
tester.IsPrime(31UL, UInt128.Zero, 0UL, out bool divisorsExhausted).Should().BeTrue();
divisorsExhausted.Should().BeFalse();
}
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.IsPrime(gpu, 31UL, UInt128.Zero, 0UL, out bool divisorsExhausted).Should().BeTrue();
divisorsExhausted.Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Fact]
[Trait("Category", "Fast")]
public void IsPrime_sets_divisorsExhausted_true_when_divisible_by_specified_divisor()
{
var tester = new MersenneNumberDivisorGpuTester();
tester.IsPrime(35UL, 31UL, 0UL, out bool divisorsExhausted).Should().BeFalse();
divisorsExhausted.Should().BeTrue();
}
[Fact]
[Trait("Category", "Fast")]
public void IsPrime_sets_divisorsExhausted_true_when_divisible_by_specified_divisor()
{
var tester = new MersenneNumberDivisorGpuTester();
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.IsPrime(gpu, 35UL, 31UL, 0UL, out bool divisorsExhausted).Should().BeFalse();
divisorsExhausted.Should().BeTrue();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Fact]
[Trait("Category", "Fast")]
public void IsPrime_accepts_large_search_limits()
{
var tester = new MersenneNumberDivisorGpuTester();
tester.IsPrime(35UL, 31UL, ulong.MaxValue, out bool exhausted).Should().BeFalse();
exhausted.Should().BeTrue();
}
[Fact]
[Trait("Category", "Fast")]
public void IsPrime_accepts_large_search_limits()
{
var tester = new MersenneNumberDivisorGpuTester();
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.IsPrime(gpu, 35UL, 31UL, ulong.MaxValue, out bool exhausted).Should().BeFalse();
exhausted.Should().BeTrue();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_tester_tracks_divisors_across_primes()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
tester.ConfigureFromMaxPrime(43UL);
private static void ConfigureByDivisorTester(MersenneNumberDivisorByDivisorGpuTester tester, ulong maxPrime)
{
tester.PrepareCandidates(maxPrime, ReadOnlySpan<ulong>.Empty, Span<ulong>.Empty);
tester.ResumeFromState(Path.Combine(Path.GetTempPath(), "bydivisor-gpu-tests.bin"), BigInteger.Zero, BigInteger.One);
tester.ResetStateTracking();
}
tester.IsPrime(31UL, out bool exhausted).Should().BeTrue();
exhausted.Should().BeTrue();
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_tester_tracks_divisors_across_primes()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
ConfigureByDivisorTester(tester, maxPrime: 43UL);
tester.IsPrime(37UL, out exhausted).Should().BeFalse();
exhausted.Should().BeTrue();
tester.IsPrime(31UL, out bool exhausted, out BigInteger divisor).Should().BeTrue();
exhausted.Should().BeTrue();
divisor.Should().Be(BigInteger.Zero);
tester.IsPrime(43UL, out exhausted).Should().BeFalse();
exhausted.Should().BeTrue();
}
tester.IsPrime(37UL, out exhausted, out divisor).Should().BeFalse();
exhausted.Should().BeTrue();
divisor.Should().BeGreaterThan(BigInteger.Zero);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_tester_defaults_to_zero_limit_before_configuration()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
tester.IsPrime(43UL, out exhausted, out divisor).Should().BeFalse();
exhausted.Should().BeTrue();
divisor.Should().BeGreaterThan(BigInteger.Zero);
}
tester.DivisorLimit.Should().Be(0UL);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_tester_defaults_to_zero_limit_before_prepare_candidates()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
tester.DivisorLimit.Should().Be(0UL);
ulong[] primes = { 31UL, 37UL };
ulong[] allowed = new ulong[primes.Length];
ulong[] primes = [31UL, 37UL];
ulong[] allowed = new ulong[primes.Length];
tester.PrepareCandidates(maxPrime: 37UL, primes, allowed);
tester.PrepareCandidates(primes, allowed);
allowed.Should().OnlyContain(value => value == 0UL);
}
tester.DivisorLimit.Should().BeGreaterThan(0UL);
allowed.Should().OnlyContain(value => value > 0UL);
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_tester_respects_filter_based_limit()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
tester.ConfigureFromMaxPrime(41UL);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_tester_respects_filter_based_limit()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
ConfigureByDivisorTester(tester, maxPrime: 41UL);
tester.IsPrime(31UL, out _).Should().BeTrue();
tester.IsPrime(37UL, out bool exhausted).Should().BeFalse();
exhausted.Should().BeTrue();
tester.IsPrime(31UL, out _, out BigInteger divisor).Should().BeTrue();
divisor.Should().Be(BigInteger.Zero);
tester.IsPrime(41UL, out bool divisorsExhausted).Should().BeFalse();
divisorsExhausted.Should().BeTrue();
}
tester.IsPrime(37UL, out bool exhausted, out divisor).Should().BeFalse();
exhausted.Should().BeTrue();
divisor.Should().BeGreaterThan(BigInteger.Zero);
tester.IsPrime(41UL, out bool divisorsExhausted, out divisor).Should().BeFalse();
divisorsExhausted.Should().BeTrue();
divisor.Should().BeGreaterThan(BigInteger.Zero);
}
[Theory]
[InlineData(71UL, false)]
[InlineData(89UL, true)]
[InlineData(127UL, true)]
[Trait("Category", "Fast")]
public void ByDivisor_tester_matches_incremental_expectations(ulong exponent, bool expectedPrime)
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
tester.ConfigureFromMaxPrime(exponent);
[Theory]
[InlineData(71UL, false)]
[InlineData(89UL, true)]
[InlineData(127UL, true)]
[Trait("Category", "Fast")]
public void ByDivisor_tester_matches_incremental_expectations(ulong exponent, bool expectedPrime)
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
ConfigureByDivisorTester(tester, maxPrime: exponent);
tester.IsPrime(exponent, out bool exhausted).Should().Be(expectedPrime);
exhausted.Should().BeTrue();
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_gpu_tester_uses_cycle_remainders_per_divisor()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester
{
GpuBatchSize = 8,
};
tester.IsPrime(exponent, out bool exhausted, out BigInteger divisor).Should().Be(expectedPrime);
tester.ConfigureFromMaxPrime(43UL);
exhausted.Should().BeTrue();
if (expectedPrime)
{
divisor.Should().Be(BigInteger.Zero);
}
else
{
divisor.Should().BeGreaterThan(BigInteger.Zero);
}
}
tester.IsPrime(41UL, out bool divisorsExhausted).Should().BeFalse();
divisorsExhausted.Should().BeTrue();
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_gpu_tester_uses_cycle_remainders_per_divisor()
{
int originalBatchSize = EnvironmentConfiguration.GpuBatchSize;
try
{
EnvironmentConfiguration.GpuBatchSize = 8;
var tester = new MersenneNumberDivisorByDivisorGpuTester();
ConfigureByDivisorTester(tester, maxPrime: 43UL);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_computes_cycle_when_zero_is_provided()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
tester.ConfigureFromMaxPrime(43UL);
tester.IsPrime(41UL, out bool divisorsExhausted, out BigInteger divisor).Should().BeFalse();
divisorsExhausted.Should().BeTrue();
divisor.Should().BeGreaterThan(BigInteger.Zero);
}
finally
{
EnvironmentConfiguration.GpuBatchSize = originalBatchSize;
}
}
using var session = tester.CreateDivisorSession();
ulong[] primes = { 31UL, 37UL, 41UL };
byte[] hits = new byte[primes.Length];
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_computes_cycle_when_zero_is_provided()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
ConfigureByDivisorTester(tester, maxPrime: 43UL);
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), 0UL, primes, hits);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
var session = tester.CreateDivisorSession(gpu);
hits.Should().ContainInOrder(new byte[] { 0, 1, 0 });
}
ulong[] primes = [31UL, 37UL, 41UL];
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), 0UL, primes).Should().BeTrue();
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_checks_divisors_across_primes()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
tester.ConfigureFromMaxPrime(43UL);
ulong[] primesWithoutHit = [31UL, 41UL];
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), 0UL, primesWithoutHit).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
using var session = tester.CreateDivisorSession();
ulong[] primes = { 31UL, 37UL, 41UL, 43UL };
byte[] hits = new byte[primes.Length];
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_checks_divisors_across_primes()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
ConfigureByDivisorTester(tester, maxPrime: 43UL);
ulong cycle223 = MersenneDivisorCycles.CalculateCycleLength(223UL, MontgomeryDivisorData.FromModulus(223UL));
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), cycle223, primes, hits);
hits.Should().ContainInOrder(new byte[] { 0, 1, 0, 0 });
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
var session = tester.CreateDivisorSession(gpu);
Array.Fill(hits, (byte)0);
ulong cycle13367 = MersenneDivisorCycles.CalculateCycleLength(13367UL, MontgomeryDivisorData.FromModulus(13367UL));
session.CheckDivisor(13367UL, MontgomeryDivisorData.FromModulus(13367UL), cycle13367, primes, hits);
hits.Should().ContainInOrder(new byte[] { 0, 0, 1, 0 });
}
ulong[] primes = [31UL, 37UL, 41UL, 43UL];
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_gpu_session_reuses_cycle_remainders_across_batches()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester
{
GpuBatchSize = 2,
};
ulong cycle223 = MersenneDivisorCyclesGpu.CalculateCycleLength(gpu, 223UL, MontgomeryDivisorData.FromModulus(223UL));
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), cycle223, primes).Should().BeTrue();
tester.ConfigureFromMaxPrime(47UL);
ulong[] primesBeforeHit = [31UL];
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), cycle223, primesBeforeHit).Should().BeFalse();
using var session = tester.CreateDivisorSession();
ulong[] primes = { 31UL, 37UL, 41UL, 43UL, 47UL };
byte[] hits = new byte[primes.Length];
ulong cycle13367 = MersenneDivisorCyclesGpu.CalculateCycleLength(gpu, 13367UL, MontgomeryDivisorData.FromModulus(13367UL));
session.CheckDivisor(13367UL, MontgomeryDivisorData.FromModulus(13367UL), cycle13367, primes).Should().BeTrue();
ulong cycle223 = MersenneDivisorCycles.CalculateCycleLength(223UL, MontgomeryDivisorData.FromModulus(223UL));
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), cycle223, primes, hits);
ulong[] primesWithoutMatchingExponent = [31UL, 37UL, 43UL];
session.CheckDivisor(13367UL, MontgomeryDivisorData.FromModulus(13367UL), cycle13367, primesWithoutMatchingExponent).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
hits.Should().ContainInOrder(new byte[] { 0, 1, 0, 0, 0 });
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_gpu_session_reuses_cycle_remainders_across_batches()
{
int originalBatchSize = EnvironmentConfiguration.GpuBatchSize;
try
{
EnvironmentConfiguration.GpuBatchSize = 2;
var tester = new MersenneNumberDivisorByDivisorGpuTester();
ConfigureByDivisorTester(tester, maxPrime: 47UL);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_marks_mersenne_numbers_divisible_by_seven_as_composite()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester
{
GpuBatchSize = 5,
};
tester.ConfigureFromMaxPrime(43UL);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
var session = tester.CreateDivisorSession(gpu);
using var session = tester.CreateDivisorSession();
ulong[] exponents = { 6UL, 7UL, 9UL, 10UL, 12UL };
byte[] hits = new byte[exponents.Length];
ulong[] primes = [31UL, 37UL, 41UL, 43UL, 47UL];
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(7UL);
ulong cycle = MersenneDivisorCycles.CalculateCycleLength(7UL, divisorData);
ulong cycle223 = MersenneDivisorCyclesGpu.CalculateCycleLength(gpu, 223UL, MontgomeryDivisorData.FromModulus(223UL));
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), cycle223, primes).Should().BeTrue();
session.CheckDivisor(7UL, divisorData, cycle, exponents, hits);
ulong[] primesBeforeHit = [31UL];
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), cycle223, primesBeforeHit).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
finally
{
EnvironmentConfiguration.GpuBatchSize = originalBatchSize;
}
}
hits.Should().Equal(new byte[] { 1, 0, 1, 0, 1 });
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_marks_mersenne_numbers_divisible_by_seven_as_composite()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
ConfigureByDivisorTester(tester, maxPrime: 43UL);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_marks_mersenne_numbers_divisible_by_eleven_as_composite()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester
{
GpuBatchSize = 5,
};
tester.ConfigureFromMaxPrime(61UL);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
var session = tester.CreateDivisorSession(gpu);
ulong[] exponents = [6UL, 7UL, 9UL, 10UL, 12UL];
using var session = tester.CreateDivisorSession();
ulong[] exponents = { 10UL, 11UL, 20UL, 21UL, 30UL };
byte[] hits = new byte[exponents.Length];
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(7UL);
ulong cycle = MersenneDivisorCyclesGpu.CalculateCycleLength(gpu, 7UL, divisorData);
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(11UL);
ulong cycle = MersenneDivisorCycles.CalculateCycleLength(11UL, divisorData);
session.CheckDivisor(7UL, divisorData, cycle, exponents).Should().BeTrue();
session.CheckDivisor(11UL, divisorData, cycle, exponents, hits);
ulong[] nonDivisibleExponents = [5UL, 11UL];
session.CheckDivisor(7UL, divisorData, cycle, nonDivisibleExponents).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
hits.Should().Equal(new byte[] { 1, 0, 1, 0, 1 });
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_session_marks_mersenne_numbers_divisible_by_eleven_as_composite()
{
var tester = new MersenneNumberDivisorByDivisorGpuTester();
ConfigureByDivisorTester(tester, maxPrime: 61UL);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_gpu_tester_skips_divisors_excluded_by_small_cycle_generation()
{
var cycles = MersenneDivisorCycles.Shared;
var tableField = typeof(MersenneDivisorCycles).GetField("_table", BindingFlags.NonPublic | BindingFlags.Instance)!;
var smallCyclesField = typeof(MersenneDivisorCycles).GetField("_smallCycles", BindingFlags.NonPublic | BindingFlags.Instance)!;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
var session = tester.CreateDivisorSession(gpu);
ulong[] exponents = [10UL, 11UL, 20UL, 21UL, 30UL];
var originalTable = (List<(ulong Divisor, ulong Cycle)>)tableField.GetValue(cycles)!;
var originalSmall = (ulong[]?)smallCyclesField.GetValue(cycles);
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(11UL);
ulong cycle = MersenneDivisorCyclesGpu.CalculateCycleLength(gpu, 11UL, divisorData);
try
{
var patchedTable = new List<(ulong Divisor, ulong Cycle)>();
ulong[] patchedSmall = new ulong[PerfectNumberConstants.MaxQForDivisorCycles + 1];
session.CheckDivisor(11UL, divisorData, cycle, exponents).Should().BeTrue();
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(191UL);
patchedSmall[191] = MersenneDivisorCycles.CalculateCycleLength(191UL, divisorData);
ulong[] nonDivisibleExponents = [5UL, 17UL];
session.CheckDivisor(11UL, divisorData, cycle, nonDivisibleExponents).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
tableField.SetValue(cycles, patchedTable);
smallCyclesField.SetValue(cycles, patchedSmall);
DivisorCycleCache.Shared.RefreshSnapshot();
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_gpu_tester_skips_divisors_excluded_by_small_cycle_generation()
{
var cycles = MersenneDivisorCyclesGpu.Shared;
var tableField = typeof(MersenneDivisorCyclesGpu).GetField("_table", BindingFlags.NonPublic | BindingFlags.Instance)!;
var smallCyclesField = typeof(MersenneDivisorCyclesGpu).GetField("_smallCycles", BindingFlags.NonPublic | BindingFlags.Instance)!;
var tester = new MersenneNumberDivisorByDivisorGpuTester();
tester.ConfigureFromMaxPrime(19UL);
var originalTable = (List<(ulong Divisor, ulong Cycle)>)tableField.GetValue(cycles)!;
var originalSmall = (ulong[]?)smallCyclesField.GetValue(cycles);
typeof(MersenneNumberDivisorByDivisorGpuTester)
.GetField("_divisorLimit", BindingFlags.NonPublic | BindingFlags.Instance)!
.SetValue(tester, 200UL);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
var patchedTable = new List<(ulong Divisor, ulong Cycle)>();
ulong[] patchedSmall = new ulong[PerfectNumberConstants.MaxQForDivisorCycles + 1];
tester.IsPrime(19UL, out bool divisorsExhausted).Should().BeTrue();
divisorsExhausted.Should().BeTrue();
}
finally
{
tableField.SetValue(cycles, originalTable);
smallCyclesField.SetValue(cycles, originalSmall);
DivisorCycleCache.Shared.RefreshSnapshot();
GpuContextPool.DisposeAll();
}
}
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(191UL);
patchedSmall[191] = MersenneDivisorCyclesGpu.CalculateCycleLength(gpu, 191UL, divisorData);
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_cpu_session_reuses_cycle_remainders_across_primes()
{
var tester = new MersenneNumberDivisorByDivisorCpuTester
{
BatchSize = 2,
};
tableField.SetValue(cycles, patchedTable);
smallCyclesField.SetValue(cycles, patchedSmall);
DivisorCycleCache.Shared.RefreshSnapshot();
tester.ConfigureFromMaxPrime(47UL);
var tester = new MersenneNumberDivisorByDivisorGpuTester();
ConfigureByDivisorTester(tester, maxPrime: 19UL);
using var session = tester.CreateDivisorSession();
ulong[] primes = { 31UL, 37UL, 41UL, 43UL, 47UL };
byte[] hits = new byte[primes.Length];
typeof(MersenneNumberDivisorByDivisorGpuTester)
.GetField("_divisorLimit", BindingFlags.NonPublic | BindingFlags.Instance)!
.SetValue(tester, 200UL);
ulong cycle223 = MersenneDivisorCycles.CalculateCycleLength(223UL, MontgomeryDivisorData.FromModulus(223UL));
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), cycle223, primes, hits);
tester.IsPrime(19UL, out bool divisorsExhausted, out BigInteger divisor).Should().BeTrue();
divisorsExhausted.Should().BeTrue();
divisor.Should().Be(BigInteger.Zero);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
tableField.SetValue(cycles, originalTable);
smallCyclesField.SetValue(cycles, originalSmall);
DivisorCycleCache.Shared.RefreshSnapshot();
}
}
hits.Should().ContainInOrder(new byte[] { 0, 1, 0, 0, 0 });
}
[Fact]
[Trait("Category", "Fast")]
public void ByDivisor_cpu_session_checks_divisors_across_primes()
{
var session = new MersenneCpuDivisorScanSessionWithCpuOrder();
ulong[] primes = [31UL, 37UL, 41UL, 43UL, 47UL];
ulong cycle223 = MersenneDivisorCyclesCpu.CalculateCycleLength(223UL, MontgomeryDivisorData.FromModulus(223UL));
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), cycle223, primes).Should().BeTrue();
ulong[] primesBeforeHit = [31UL];
session.CheckDivisor(223UL, MontgomeryDivisorData.FromModulus(223UL), cycle223, primesBeforeHit).Should().BeFalse();
}
}
@@ -1,6 +1,6 @@
using FluentAssertions;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Cpu;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
using UInt128 = System.UInt128;
@@ -8,30 +8,38 @@ namespace PerfectNumbers.Core.Tests;
public class MersenneNumberIncrementalCpuTesterTests
{
private static LastDigit GetLastDigit(ulong exponent) => (exponent & 3UL) == 3UL ? LastDigit.Seven : LastDigit.One;
private static LastDigit GetLastDigit(ulong exponent) => (exponent & 3UL) == 3UL ? LastDigit.Seven : LastDigit.One;
[Theory]
[InlineData(GpuKernelType.Incremental)]
[InlineData(GpuKernelType.Pow2Mod)]
[Trait("Category", "Fast")]
public void Scan_handles_various_prime_exponents(GpuKernelType type)
{
var tester = new MersenneNumberIncrementalCpuTester(type);
[Theory]
[InlineData(GpuKernelType.Incremental)]
[InlineData(GpuKernelType.Pow2Mod)]
[Trait("Category", "Fast")]
public void Scan_handles_various_prime_exponents(GpuKernelType type)
{
var tester = new MersenneNumberIncrementalCpuTester(type);
if (type == GpuKernelType.Pow2Mod)
{
RunCase(tester, 11UL, 1UL, expectedPrime: false);
RunCase(tester, 71UL, 341_860UL, expectedPrime: false);
}
if (type == GpuKernelType.Pow2Mod)
{
RunCase(tester, 11UL, 1UL, expectedPrime: false);
RunCase(tester, 71UL, 341_860UL, expectedPrime: false);
}
RunCase(tester, 89UL, 1_000UL, expectedPrime: true);
RunCase(tester, 127UL, 1_000UL, expectedPrime: true);
}
RunCase(tester, 89UL, 1_000UL, expectedPrime: true);
RunCase(tester, 127UL, 1_000UL, expectedPrime: true);
}
private static void RunCase(MersenneNumberIncrementalCpuTester tester, ulong exponent, ulong maxK, bool expectedPrime)
{
bool isPrime = true;
tester.Scan(exponent, (UInt128)exponent << 1, GetLastDigit(exponent), (UInt128)maxK, ref isPrime);
isPrime.Should().Be(expectedPrime);
}
private static void RunCase(MersenneNumberIncrementalCpuTester tester, ulong exponent, ulong maxK, bool expectedPrime)
{
bool isPrime = true;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.Scan(gpu, exponent, (UInt128)exponent << 1, GetLastDigit(exponent), (UInt128)maxK, ref isPrime);
isPrime.Should().Be(expectedPrime);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
@@ -1,5 +1,4 @@
using FluentAssertions;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu;
using Xunit;
using UInt128 = System.UInt128;
@@ -1,6 +1,6 @@
using FluentAssertions;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Cpu;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
using UInt128 = System.UInt128;
@@ -8,31 +8,39 @@ namespace PerfectNumbers.Core.Tests;
public class MersenneNumberOrderCpuTesterTests
{
private static LastDigit GetLastDigit(ulong exponent) => (exponent & 3UL) == 3UL ? LastDigit.Seven : LastDigit.One;
private static LastDigit GetLastDigit(ulong exponent) => (exponent & 3UL) == 3UL ? LastDigit.Seven : LastDigit.One;
[Theory]
[InlineData(GpuKernelType.Incremental)]
[InlineData(GpuKernelType.Pow2Mod)]
[Trait("Category", "Fast")]
public void Scan_handles_various_prime_exponents(GpuKernelType type)
{
var tester = new MersenneNumberOrderCpuTester(type);
[Theory]
[InlineData(GpuKernelType.Incremental)]
[InlineData(GpuKernelType.Pow2Mod)]
[Trait("Category", "Fast")]
public void Scan_handles_various_prime_exponents(GpuKernelType type)
{
var tester = new MersenneNumberOrderCpuTester(type);
if (type == GpuKernelType.Pow2Mod)
{
RunCase(tester, 23UL, 1UL, expectedPrime: false);
RunCase(tester, 29UL, 36UL, expectedPrime: false);
}
if (type == GpuKernelType.Pow2Mod)
{
RunCase(tester, 23UL, 1UL, expectedPrime: false);
RunCase(tester, 29UL, 36UL, expectedPrime: false);
}
RunCase(tester, 89UL, 1_000UL, expectedPrime: true);
RunCase(tester, 127UL, 1_000UL, expectedPrime: true);
}
RunCase(tester, 89UL, 1_000UL, expectedPrime: true);
RunCase(tester, 127UL, 1_000UL, expectedPrime: true);
}
private static void RunCase(MersenneNumberOrderCpuTester tester, ulong exponent, ulong maxK, bool expectedPrime)
{
bool isPrime = true;
tester.Scan(exponent, (UInt128)exponent << 1, GetLastDigit(exponent), (UInt128)maxK, ref isPrime);
isPrime.Should().Be(expectedPrime);
}
private static void RunCase(MersenneNumberOrderCpuTester tester, ulong exponent, ulong maxK, bool expectedPrime)
{
bool isPrime = true;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.Scan(gpu, exponent, (UInt128)exponent << 1, GetLastDigit(exponent), (UInt128)maxK, ref isPrime);
isPrime.Should().Be(expectedPrime);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
@@ -1,6 +1,5 @@
using System.Reflection;
using FluentAssertions;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu;
using Xunit;
using UInt128 = System.UInt128;
@@ -46,16 +45,15 @@ public class MersenneNumberOrderGpuTesterTests
writer.Write((ulong)uint.MaxValue);
}
var cycles = MersenneDivisorCycles.Shared;
var tableField = typeof(MersenneDivisorCycles).GetField("_table", BindingFlags.NonPublic | BindingFlags.Instance)!;
var smallCyclesField = typeof(MersenneDivisorCycles).GetField("_smallCycles", BindingFlags.NonPublic | BindingFlags.Instance)!;
var cycles = MersenneDivisorCyclesGpu.Shared;
var tableField = typeof(MersenneDivisorCyclesGpu).GetField("_table", BindingFlags.NonPublic | BindingFlags.Instance)!;
var smallCyclesField = typeof(MersenneDivisorCyclesGpu).GetField("_smallCycles", BindingFlags.NonPublic | BindingFlags.Instance)!;
var originalTable = ((List<(ulong Divisor, ulong Cycle)>)tableField.GetValue(cycles)!).Select(x => x).ToList();
var originalSmall = (ulong[]?)smallCyclesField.GetValue(cycles);
ulong[]? backupSmall = originalSmall is null ? null : (ulong[])originalSmall.Clone();
cycles.LoadFrom(tempPath);
GpuContextPool.DisposeAll();
try
{
@@ -75,7 +73,6 @@ public class MersenneNumberOrderGpuTesterTests
{
tableField.SetValue(cycles, originalTable);
smallCyclesField.SetValue(cycles, backupSmall);
GpuContextPool.DisposeAll();
}
}
finally
@@ -91,4 +88,3 @@ public class MersenneNumberOrderGpuTesterTests
isPrime.Should().Be(expectedPrime);
}
}
@@ -1,5 +1,4 @@
using FluentAssertions;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Cpu;
using Xunit;
using UInt128 = System.UInt128;
@@ -8,24 +7,25 @@ namespace PerfectNumbers.Core.Tests;
public class MersenneNumberResidueCpuTesterTests
{
private static LastDigit GetLastDigit(ulong exponent) => (exponent & 3UL) == 3UL ? LastDigit.Seven : LastDigit.One;
private static LastDigit GetLastDigit(ulong exponent) => (exponent & 3UL) == 3UL ? LastDigit.Seven : LastDigit.One;
[Fact]
[Trait("Category", "Fast")]
public void Scan_handles_various_prime_exponents()
{
var tester = new MersenneNumberResidueCpuTester();
[Fact]
[Trait("Category", "Fast")]
public void Scan_handles_various_prime_exponents()
{
var tester = new MersenneNumberResidueCpuTester();
RunCase(tester, 23UL, 1UL, expectedPrime: false);
RunCase(tester, 29UL, 36UL, expectedPrime: false);
RunCase(tester, 89UL, 1_000UL, expectedPrime: true);
RunCase(tester, 127UL, 1_000UL, expectedPrime: true);
}
RunCase(tester, 23UL, 1UL, expectedPrime: false);
RunCase(tester, 29UL, 36UL, expectedPrime: false);
RunCase(tester, 89UL, 1_000UL, expectedPrime: true);
RunCase(tester, 127UL, 1_000UL, expectedPrime: true);
}
private static void RunCase(MersenneNumberResidueCpuTester tester, ulong exponent, ulong maxK, bool expectedPrime)
{
bool isPrime = true;
tester.Scan(exponent, (UInt128)exponent << 1, GetLastDigit(exponent), (UInt128)maxK, ref isPrime);
isPrime.Should().Be(expectedPrime);
}
private static void RunCase(MersenneNumberResidueCpuTester tester, ulong exponent, ulong maxK, bool expectedPrime)
{
bool isPrime = true;
tester.Scan(exponent, (UInt128)exponent << 1, GetLastDigit(exponent), (UInt128)maxK, ref isPrime);
isPrime.Should().Be(expectedPrime);
}
}
@@ -1,6 +1,6 @@
using FluentAssertions;
using PerfectNumbers.Core;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
using UInt128 = System.UInt128;
@@ -8,27 +8,36 @@ namespace PerfectNumbers.Core.Tests;
public class MersenneNumberResidueGpuTesterTests
{
private static LastDigit GetLastDigit(ulong exponent) => (exponent & 3UL) == 3UL ? LastDigit.Seven : LastDigit.One;
private static LastDigit GetLastDigit(ulong exponent) => (exponent & 3UL) == 3UL ? LastDigit.Seven : LastDigit.One;
[Theory]
[InlineData(false)]
[InlineData(true)]
[Trait("Category", "Fast")]
public void Scan_handles_various_prime_exponents(bool useGpuOrder)
{
var tester = new MersenneNumberResidueGpuTester(useGpuOrder);
[Theory]
[InlineData(false)]
[InlineData(true)]
[Trait("Category", "Fast")]
public void Scan_handles_various_prime_exponents(bool useGpuOrder)
{
var tester = new MersenneNumberResidueGpuTester(useGpuOrder);
RunCase(tester, 23UL, 2UL, expectedPrime: false);
RunCase(tester, 29UL, 37UL, expectedPrime: false);
RunCase(tester, 31UL, 1_000UL, expectedPrime: true);
RunCase(tester, 89UL, 1_001UL, expectedPrime: true);
RunCase(tester, 127UL, 1_001UL, expectedPrime: true);
}
RunCase(tester, 23UL, 2UL, expectedPrime: false);
RunCase(tester, 29UL, 37UL, expectedPrime: false);
RunCase(tester, 31UL, 1_000UL, expectedPrime: true);
RunCase(tester, 89UL, 1_001UL, expectedPrime: true);
RunCase(tester, 127UL, 1_001UL, expectedPrime: true);
}
private static void RunCase(MersenneNumberResidueGpuTester tester, ulong exponent, ulong maxK, bool expectedPrime)
{
bool isPrime = true;
tester.Scan(exponent, (UInt128)exponent << 1, GetLastDigit(exponent), (UInt128)maxK, ref isPrime);
isPrime.Should().Be(expectedPrime);
}
private static void RunCase(MersenneNumberResidueGpuTester tester, ulong exponent, ulong maxK, bool expectedPrime)
{
bool isPrime = true;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.Scan(gpu, exponent, (UInt128)exponent << 1, GetLastDigit(exponent), (UInt128)maxK, ref isPrime);
isPrime.Should().Be(expectedPrime);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
@@ -1,4 +1,5 @@
using FluentAssertions;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
@@ -7,30 +8,81 @@ namespace PerfectNumbers.Core.Tests;
[Trait("Category", "Fast")]
public class MersenneNumberTesterTests
{
[Theory]
[InlineData(136_000_002UL)]
[InlineData(136_000_005UL)]
public void IsMersennePrime_detects_small_prime_divisors_for_large_exponents(ulong p)
{
var tester = new MersenneNumberTester();
tester.IsMersennePrime(p).Should().BeFalse();
}
[Theory]
[InlineData(136_000_002UL)]
[InlineData(136_000_005UL)]
public void IsMersennePrime_detects_small_prime_divisors_for_large_exponents(ulong p)
{
var tester = new MersenneNumberTesterForIncrementalCalculationMethodForDisabledCacheStatusForCpuOrderDeviceForCpu();
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.IsMersennePrime(gpu, p).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Theory]
[InlineData(125UL)]
public void WarmUpOrders_populates_cache_without_affecting_results(ulong p)
{
var tester = new MersenneNumberTester(useOrderCache: true, useGpuOrder: true);
tester.WarmUpOrders(p, 1_000UL);
tester.IsMersennePrime(p).Should().BeFalse();
}
[Theory]
[InlineData(125UL)]
public void WarmUpOrdersCpu_populates_cache_without_affecting_results(ulong p)
{
var tester = new MersenneNumberTesterForIncrementalCalculationMethodForEnabledCacheStatusForGpuOrderDeviceForCpu();
tester.WarmUpOrders(p, 1_000UL);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.IsMersennePrime(gpu, p).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Theory]
[InlineData(125UL, true)]
[InlineData(127UL, false)]
public void SharesFactorWithExponentMinusOne_detects_common_factors(ulong p, bool expected)
{
p.SharesFactorWithExponentMinusOne().Should().Be(expected);
}
[Theory]
[InlineData(125UL)]
public void WarmUpOrdersGpu_populates_cache_without_affecting_results(ulong p)
{
var tester = new MersenneNumberTesterForIncrementalCalculationMethodForEnabledCacheStatusForGpuOrderDeviceForGpu();
tester.WarmUpOrders(p, 1_000UL);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.IsMersennePrime(gpu, p).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Theory]
[InlineData(125UL, true)]
[InlineData(127UL, false)]
public void SharesFactorWithExponentMinusOneCpu_detects_common_factors(ulong p, bool expected)
{
p.SharesFactorWithExponentMinusOneCpu().Should().Be(expected);
}
[Theory]
[InlineData(125UL, true)]
[InlineData(127UL, false)]
public void SharesFactorWithExponentMinusOneGpu_detects_common_factors(ulong p, bool expected)
{
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
p.SharesFactorWithExponentMinusOneGpu(gpu).Should().Be(expected);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
@@ -1,4 +1,5 @@
using FluentAssertions;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
@@ -6,27 +7,37 @@ namespace PerfectNumbers.Core.Tests;
[Trait("Category", "Fast")]
public class MersenneResidueModeTests
{
[Fact]
public void IsMersennePrime_residue_mode_rejects_composite_exponent()
{
var tester = new MersenneNumberTester(
useResidue: true,
useIncremental: false,
useGpuScan: false,
useGpuOrder: false);
tester.IsMersennePrime(136_000_002UL).Should().BeFalse();
}
[Fact]
public void IsMersennePrime_residue_mode_rejects_composite_exponent()
{
var tester = new MersenneNumberTesterForResidueCalculationMethodForDisabledCacheStatusForCpuOrderDeviceForCpu();
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.IsMersennePrime(gpu, 136_000_002UL).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Fact]
public void IsMersennePrime_residue_mode_accepts_prime_exponent()
{
var tester = new MersenneNumberTester(
useResidue: true,
useIncremental: true,
useGpuScan: false,
useGpuOrder: false,
maxK: 1_000UL);
tester.IsMersennePrime(31UL).Should().BeTrue();
}
[Fact]
public void IsMersennePrime_residue_mode_accepts_prime_exponent()
{
var tester = new MersenneNumberTesterForResidueCalculationMethodForDisabledCacheStatusForCpuOrderDeviceForCpu(
maxK: 1_000UL);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tester.IsMersennePrime(gpu, 31UL).Should().BeTrue();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
@@ -1,4 +1,5 @@
using FluentAssertions;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
@@ -6,61 +7,150 @@ namespace PerfectNumbers.Core.Tests;
[Trait("Category", "Fast")]
public class ModResidueTrackerTests
{
[Fact]
public void IsDivisible_advances_residue_for_identity()
{
var tracker = new ModResidueTracker(ResidueModel.Identity);
[Fact]
public void IsDivisibleCpu_advances_residue_for_identity()
{
var tracker = new ModResidueTracker(ResidueModel.Identity);
tracker.IsDivisible(5, 2).Should().BeFalse();
tracker.IsDivisible(6, 2).Should().BeTrue();
tracker.IsDivisible(7, 2).Should().BeFalse();
}
tracker.IsDivisibleCpu(5, 2).Should().BeFalse();
tracker.IsDivisibleCpu(6, 2).Should().BeTrue();
tracker.IsDivisibleCpu(7, 2).Should().BeFalse();
}
[Theory]
[InlineData(3UL, 7UL, true)]
[InlineData(5UL, 31UL, true)]
[InlineData(5UL, 7UL, false)]
[InlineData(11UL, 23UL, true)]
[InlineData(11UL, 31UL, false)]
public void IsDivisible_handles_mersenne_model(ulong p, ulong divisor, bool expected)
{
var tracker = new ModResidueTracker(ResidueModel.Mersenne);
[Fact]
public void IsDivisibleGpu_advances_residue_for_identity()
{
var tracker = new ModResidueTracker(ResidueModel.Identity);
tracker.IsDivisible(p, divisor).Should().Be(expected);
}
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tracker.IsDivisibleGpu(gpu, 5, 2).Should().BeFalse();
tracker.IsDivisibleGpu(gpu, 6, 2).Should().BeTrue();
tracker.IsDivisibleGpu(gpu, 7, 2).Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Fact]
public void MergeOrAppend_tracks_existing_and_new_divisors()
{
var tracker = new ModResidueTracker(ResidueModel.Identity);
[Theory]
[InlineData(3UL, 7UL, true)]
[InlineData(5UL, 31UL, true)]
[InlineData(5UL, 7UL, false)]
[InlineData(11UL, 23UL, true)]
[InlineData(11UL, 31UL, false)]
public void IsDivisibleCpu_handles_mersenne_model(ulong p, ulong divisor, bool expected)
{
var tracker = new ModResidueTracker(ResidueModel.Mersenne);
tracker.IsDivisibleCpu(p, divisor).Should().Be(expected);
}
tracker.BeginMerge(10);
tracker.MergeOrAppend(10, 3, out bool d3).Should().BeTrue();
d3.Should().BeFalse();
tracker.MergeOrAppend(10, 5, out bool d5).Should().BeTrue();
d5.Should().BeTrue();
[Theory]
[InlineData(3UL, 7UL, true)]
[InlineData(5UL, 31UL, true)]
[InlineData(5UL, 7UL, false)]
[InlineData(11UL, 23UL, true)]
[InlineData(11UL, 31UL, false)]
public void IsDivisibleGpu_handles_mersenne_model(ulong p, ulong divisor, bool expected)
{
var tracker = new ModResidueTracker(ResidueModel.Mersenne);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
tracker.BeginMerge(10);
tracker.MergeOrAppend(10, 4, out bool d4).Should().BeTrue();
d4.Should().BeFalse();
try
{
tracker.IsDivisibleGpu(gpu, p, divisor).Should().Be(expected);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
tracker.BeginMerge(11);
tracker.MergeOrAppend(11, 3, out d3).Should().BeTrue();
d3.Should().BeFalse();
tracker.MergeOrAppend(11, 4, out d4).Should().BeTrue();
d4.Should().BeFalse();
tracker.MergeOrAppend(11, 5, out d5).Should().BeTrue();
d5.Should().BeFalse();
}
[Fact]
public void MergeOrAppendCpu_tracks_existing_and_new_divisors()
{
var tracker = new ModResidueTracker(ResidueModel.Identity);
[Fact]
public void IsDivisible_requires_non_decreasing_numbers()
{
var tracker = new ModResidueTracker(ResidueModel.Identity);
tracker.IsDivisible(5, 2);
tracker.BeginMerge(10);
tracker.MergeOrAppendCpu(10, 3, out bool d3).Should().BeTrue();
d3.Should().BeFalse();
tracker.MergeOrAppendCpu(10, 5, out bool d5).Should().BeTrue();
d5.Should().BeTrue();
Action act = () => tracker.IsDivisible(4, 2);
act.Should().Throw<InvalidOperationException>();
}
tracker.BeginMerge(10);
tracker.MergeOrAppendCpu(10, 4, out bool d4).Should().BeTrue();
d4.Should().BeFalse();
tracker.BeginMerge(11);
tracker.MergeOrAppendCpu(11, 3, out d3).Should().BeTrue();
d3.Should().BeFalse();
tracker.MergeOrAppendCpu(11, 4, out d4).Should().BeTrue();
d4.Should().BeFalse();
tracker.MergeOrAppendCpu(11, 5, out d5).Should().BeTrue();
d5.Should().BeFalse();
}
[Fact]
public void MergeOrAppendGpu_tracks_existing_and_new_divisors()
{
var tracker = new ModResidueTracker(ResidueModel.Identity);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tracker.BeginMerge(10);
tracker.MergeOrAppendGpu(gpu, 10, 3, out bool d3).Should().BeTrue();
d3.Should().BeFalse();
tracker.MergeOrAppendGpu(gpu, 10, 5, out bool d5).Should().BeTrue();
d5.Should().BeTrue();
tracker.BeginMerge(10);
tracker.MergeOrAppendGpu(gpu, 10, 4, out bool d4).Should().BeTrue();
d4.Should().BeFalse();
tracker.BeginMerge(11);
tracker.MergeOrAppendGpu(gpu, 11, 3, out d3).Should().BeTrue();
d3.Should().BeFalse();
tracker.MergeOrAppendGpu(gpu, 11, 4, out d4).Should().BeTrue();
d4.Should().BeFalse();
tracker.MergeOrAppendGpu(gpu, 11, 5, out d5).Should().BeTrue();
d5.Should().BeFalse();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Fact]
public void IsDivisibleCpu_requires_non_decreasing_numbers()
{
var tracker = new ModResidueTracker(ResidueModel.Identity);
tracker.IsDivisibleCpu(5, 2);
Action act = () => tracker.IsDivisibleCpu(4, 2);
act.Should().Throw<InvalidOperationException>();
}
[Fact]
public void IsDivisibleGpu_requires_non_decreasing_numbers()
{
var tracker = new ModResidueTracker(ResidueModel.Identity);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
tracker.IsDivisibleGpu(gpu, 5, 2);
Action act = () => tracker.IsDivisibleGpu(gpu, 4, 2);
act.Should().Throw<InvalidOperationException>();
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
@@ -0,0 +1,55 @@
using FluentAssertions;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class PollingSemaphoreTests
{
[Fact]
[Trait("Category", "Fast")]
public void TryEnter_AllowsConfiguredConcurrency()
{
var semaphore = new PollingSemaphore(2, TimeSpan.Zero);
semaphore.TryEnter().Should().BeTrue();
semaphore.TryEnter().Should().BeTrue();
semaphore.TryEnter().Should().BeFalse();
semaphore.Release();
semaphore.Release();
}
[Fact]
[Trait("Category", "Fast")]
public async Task Wait_BlocksUntilRelease()
{
var semaphore = new PollingSemaphore(1, TimeSpan.FromMilliseconds(1));
semaphore.TryEnter().Should().BeTrue();
Task<bool> waiter = Task.Run(() => semaphore.Wait(TimeSpan.FromMilliseconds(200)));
await Task.Delay(20);
semaphore.Release();
bool entered = await waiter;
entered.Should().BeTrue();
semaphore.Release();
}
[Fact]
[Trait("Category", "Fast")]
public void Wait_ReturnsFalseWhenTimeoutHits()
{
var semaphore = new PollingSemaphore(1, TimeSpan.FromMilliseconds(2));
semaphore.TryEnter().Should().BeTrue();
bool acquired = semaphore.Wait(TimeSpan.FromMilliseconds(30));
acquired.Should().BeFalse();
semaphore.Release();
}
}
@@ -1,198 +1,228 @@
using FluentAssertions;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class PrimeOrderCalculatorTests
{
public static IEnumerable<object[]> SmallPrimes()
{
yield return new object[] { 3UL };
yield return new object[] { 5UL };
yield return new object[] { 7UL };
yield return new object[] { 11UL };
yield return new object[] { 13UL };
yield return new object[] { 17UL };
yield return new object[] { 19UL };
yield return new object[] { 31UL };
yield return new object[] { 61UL };
yield return new object[] { 89UL };
yield return new object[] { 127UL };
yield return new object[] { 521UL };
}
public static IEnumerable<object[]> SmallPrimes()
{
yield return new object[] { 3UL };
yield return new object[] { 5UL };
yield return new object[] { 7UL };
yield return new object[] { 11UL };
yield return new object[] { 13UL };
yield return new object[] { 17UL };
yield return new object[] { 19UL };
yield return new object[] { 31UL };
yield return new object[] { 61UL };
yield return new object[] { 89UL };
yield return new object[] { 127UL };
yield return new object[] { 521UL };
}
public static IEnumerable<object[]> PrimesWithPrevious()
{
yield return new object[] { 5UL, 3UL };
yield return new object[] { 7UL, 5UL };
yield return new object[] { 11UL, 7UL };
yield return new object[] { 13UL, 11UL };
yield return new object[] { 17UL, 13UL };
yield return new object[] { 19UL, 17UL };
yield return new object[] { 31UL, 29UL };
yield return new object[] { 61UL, 59UL };
yield return new object[] { 89UL, 83UL };
yield return new object[] { 127UL, 113UL };
yield return new object[] { 521UL, 509UL };
}
public static IEnumerable<object[]> PrimesWithPrevious()
{
yield return new object[] { 5UL, 3UL };
yield return new object[] { 7UL, 5UL };
yield return new object[] { 11UL, 7UL };
yield return new object[] { 13UL, 11UL };
yield return new object[] { 17UL, 13UL };
yield return new object[] { 19UL, 17UL };
yield return new object[] { 31UL, 29UL };
yield return new object[] { 61UL, 59UL };
yield return new object[] { 89UL, 83UL };
yield return new object[] { 127UL, 113UL };
yield return new object[] { 521UL, 509UL };
}
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(SmallPrimes))]
public void Calculate_heuristic_mode_matches_naive_cycle_length(ulong prime)
{
ulong expected = ComputeOrderByDoubling(prime);
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(SmallPrimes))]
public void Calculate_heuristic_mode_matches_naive_cycle_length(ulong prime)
{
ulong expected = ComputeOrderByDoubling(prime);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
ulong result = PrimeOrderCalculator.Calculate(
prime,
previousOrder: null,
MontgomeryDivisorData.FromModulus(prime),
PrimeOrderCalculator.PrimeOrderSearchConfig.HeuristicDefault,
PrimeOrderCalculator.PrimeOrderHeuristicDevice.Gpu);
ulong result = PrimeOrderCalculatorGpu.Calculate(
gpu,
prime,
previousOrder: null,
MontgomeryDivisorData.FromModulus(prime),
PrimeOrderCalculatorConfig.HeuristicDefault);
result.Should().Be(expected);
}
PrimeOrderCalculatorAccelerator.Return(gpu);
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(PrimesWithPrevious))]
public void Calculate_heuristic_mode_matches_strict_mode_even_with_previous_order(ulong prime, ulong previousPrime)
{
ulong previousOrder = ComputeOrderByDoubling(previousPrime);
result.Should().Be(expected);
}
ulong heuristic = PrimeOrderCalculator.Calculate(
prime,
previousOrder,
MontgomeryDivisorData.FromModulus(prime),
PrimeOrderCalculator.PrimeOrderSearchConfig.HeuristicDefault,
PrimeOrderCalculator.PrimeOrderHeuristicDevice.Gpu);
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(PrimesWithPrevious))]
public void Calculate_heuristic_mode_matches_strict_mode_even_with_previous_order(ulong prime, ulong previousPrime)
{
ulong previousOrder = ComputeOrderByDoubling(previousPrime);
ulong strict = PrimeOrderCalculator.Calculate(
prime,
previousOrder: null,
MontgomeryDivisorData.FromModulus(prime),
PrimeOrderCalculator.PrimeOrderSearchConfig.StrictDefault,
PrimeOrderCalculator.PrimeOrderHeuristicDevice.Gpu);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
ulong heuristic = PrimeOrderCalculatorGpu.Calculate(
gpu,
prime,
previousOrder,
MontgomeryDivisorData.FromModulus(prime),
PrimeOrderCalculatorConfig.HeuristicDefault);
heuristic.Should().Be(strict);
}
ulong strict = PrimeOrderCalculatorGpu.Calculate(
gpu,
prime,
previousOrder: null,
MontgomeryDivisorData.FromModulus(prime),
PrimeOrderCalculatorConfig.StrictDefault);
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, 1UL)]
[InlineData(3UL, 2UL)]
public void Calculate_handles_trivial_primes(ulong prime, ulong expectedOrder)
{
ulong result = PrimeOrderCalculator.Calculate(
prime,
previousOrder: null,
MontgomeryDivisorData.FromModulus(prime),
PrimeOrderCalculator.PrimeOrderSearchConfig.HeuristicDefault,
PrimeOrderCalculator.PrimeOrderHeuristicDevice.Gpu);
PrimeOrderCalculatorAccelerator.Return(gpu);
result.Should().Be(expectedOrder);
}
heuristic.Should().Be(strict);
}
[Fact]
[Trait("Category", "Fast")]
public void Calculate_heuristic_mode_returns_unresolved_when_phi_cannot_be_factored()
{
var config = new PrimeOrderCalculator.PrimeOrderSearchConfig(
smallFactorLimit: 1,
pollardRhoMilliseconds: 0,
maxPowChecks: 8,
mode: PrimeOrderCalculator.PrimeOrderMode.Heuristic);
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, 1UL)]
[InlineData(3UL, 2UL)]
public void Calculate_handles_trivial_primes(ulong prime, ulong expectedOrder)
{
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
ulong result = PrimeOrderCalculatorGpu.Calculate(
gpu,
prime,
previousOrder: null,
MontgomeryDivisorData.FromModulus(prime),
PrimeOrderCalculatorConfig.HeuristicDefault);
ulong result = PrimeOrderCalculator.Calculate(
prime: 13UL,
previousOrder: null,
MontgomeryDivisorData.FromModulus(13UL),
config,
PrimeOrderCalculator.PrimeOrderHeuristicDevice.Gpu);
PrimeOrderCalculatorAccelerator.Return(gpu);
result.Should().Be(expectedOrder);
}
result.Should().Be(ComputeOrderByDoubling(13UL));
}
[Fact]
[Trait("Category", "Fast")]
public void Calculate_heuristic_mode_returns_unresolved_when_phi_cannot_be_factored()
{
var config = new PrimeOrderCalculatorConfig(
smallFactorLimit: 1,
pollardRhoMilliseconds: 0,
maxPowChecks: 8,
strictMode: false);
[Fact]
[Trait("Category", "Fast")]
public void Calculate_heuristic_mode_attempts_candidates_before_falling_back_to_strict_mode()
{
var heuristicConfig = new PrimeOrderCalculator.PrimeOrderSearchConfig(
smallFactorLimit: 2,
pollardRhoMilliseconds: 0,
maxPowChecks: 1,
mode: PrimeOrderCalculator.PrimeOrderMode.Heuristic);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
ulong result = PrimeOrderCalculatorGpu.Calculate(
gpu,
prime: 13UL,
previousOrder: null,
MontgomeryDivisorData.FromModulus(13UL),
config);
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(239UL);
ulong heuristic = PrimeOrderCalculator.Calculate(
prime: 239UL,
previousOrder: null,
divisorData,
heuristicConfig,
PrimeOrderCalculator.PrimeOrderHeuristicDevice.Gpu);
PrimeOrderCalculatorAccelerator.Return(gpu);
result.Should().Be(ComputeOrderByDoubling(13UL));
}
heuristic.Should().Be(ComputeOrderByDoubling(239UL));
[Fact]
[Trait("Category", "Fast")]
public void Calculate_heuristic_mode_attempts_candidates_before_falling_back_to_strict_mode()
{
var heuristicConfig = new PrimeOrderCalculatorConfig(
smallFactorLimit: 2,
pollardRhoMilliseconds: 0,
maxPowChecks: 1,
strictMode: false);
var strictConfig = new PrimeOrderCalculator.PrimeOrderSearchConfig(
smallFactorLimit: 2,
pollardRhoMilliseconds: 0,
maxPowChecks: 1,
mode: PrimeOrderCalculator.PrimeOrderMode.Strict);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
MontgomeryDivisorData divisorData = MontgomeryDivisorData.FromModulus(239UL);
ulong heuristic = PrimeOrderCalculatorGpu.Calculate(
gpu,
prime: 239UL,
previousOrder: null,
divisorData,
heuristicConfig);
ulong strict = PrimeOrderCalculator.Calculate(
prime: 239UL,
previousOrder: null,
divisorData,
strictConfig,
PrimeOrderCalculator.PrimeOrderHeuristicDevice.Gpu);
heuristic.Should().Be(ComputeOrderByDoubling(239UL));
strict.Should().Be(heuristic);
}
var strictConfig = new PrimeOrderCalculatorConfig(
smallFactorLimit: 2,
pollardRhoMilliseconds: 0,
maxPowChecks: 1,
strictMode: true);
[Fact]
[Trait("Category", "Fast")]
public void Calculate_handles_128_bit_prime()
{
UInt128 prime = UInt128.Parse("18446744073709641691");
ulong strict = PrimeOrderCalculatorGpu.Calculate(
gpu,
prime: 239UL,
previousOrder: null,
divisorData,
strictConfig);
UInt128 result = PrimeOrderCalculator.Calculate(
prime,
previousOrder: null,
PrimeOrderCalculator.PrimeOrderSearchConfig.HeuristicDefault,
PrimeOrderCalculator.PrimeOrderHeuristicDevice.Gpu);
strict.Should().Be(heuristic);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
result.Should().Be((UInt128)1229782938247309446UL);
}
[Fact]
[Trait("Category", "Fast")]
public void Calculate_handles_128_bit_prime()
{
UInt128 prime = UInt128.Parse("18446744073709641691");
[Fact]
[Trait("Category", "Fast")]
public void GetCycle_uses_wide_prime_heuristic()
{
UInt128 prime = UInt128.Parse("18446744073709641691");
MersenneDivisorCycles.GetCycle(prime).Should().Be((UInt128)1229782938247309446UL);
}
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
UInt128 result = PrimeOrderCalculatorGpu.Calculate(
gpu,
prime,
previousOrder: null,
PrimeOrderCalculatorConfig.HeuristicDefault);
private static ulong ComputeOrderByDoubling(ulong prime)
{
if (prime == 2UL)
{
return 1UL;
}
PrimeOrderCalculatorAccelerator.Return(gpu);
result.Should().Be((UInt128)1229782938247309446UL);
}
if (prime == 3UL)
{
return 2UL;
}
[Fact]
[Trait("Category", "Fast")]
public void GetCycle_uses_wide_prime_heuristic()
{
UInt128 prime = UInt128.Parse("18446744073709641691");
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
var mersenneDivisorCycles = MersenneDivisorCyclesGpu.GetCycle(gpu, prime).Should().Be((UInt128)1229782938247309446UL);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
ulong order = 1UL;
ulong value = 2UL % prime;
private static ulong ComputeOrderByDoubling(ulong prime)
{
if (prime == 2UL)
{
return 1UL;
}
while (value != 1UL)
{
value = (value * 2UL) % prime;
order++;
}
if (prime == 3UL)
{
return 2UL;
}
return order;
}
ulong order = 1UL;
ulong value = 2UL % prime;
while (value != 1UL)
{
value = (value * 2UL) % prime;
order++;
}
return order;
}
}
@@ -1,4 +1,5 @@
using FluentAssertions;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
@@ -6,20 +7,28 @@ namespace PerfectNumbers.Core.Tests;
[Trait("Category", "Fast")]
public class PrimeTesterGcdTests
{
[Theory]
[InlineData(81UL, true)]
[InlineData(101UL, false)]
public void SharesFactorWithMaxExponent_detects_gcd(ulong n, bool expected)
{
PrimeTester.SharesFactorWithMaxExponent(n).Should().Be(expected);
}
[Theory]
[InlineData(81UL, true)]
[InlineData(101UL, false)]
public void SharesFactorWithMaxExponent_detects_gcd(ulong n, bool expected)
{
PrimeTester.SharesFactorWithMaxExponent(n).Should().Be(expected);
}
[Fact]
public void SharesFactorWithMaxExponentBatch_filters_values()
{
ulong[] values = [81UL, 101UL];
Span<byte> results = stackalloc byte[values.Length];
PrimeTester.SharesFactorWithMaxExponentBatch(values, results);
results.ToArray().Should().Equal(new byte[] { 1, 0 });
}
[Fact]
public void SharesFactorWithMaxExponentBatch_filters_values()
{
ulong[] values = [81UL, 101UL];
Span<byte> results = stackalloc byte[values.Length];
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
PrimeTester.SharesFactorWithMaxExponentBatch(gpu, values, results);
results.ToArray().Should().Equal(new byte[] { 1, 0 });
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
@@ -1,70 +1,98 @@
using FluentAssertions;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class PrimeTesterIsPrimeTests
{
[Theory]
[Trait("Category", "Fast")]
// EvenPerfectBitScanner never routes the tiny values anymore; keep coverage focused on the admissible range handled by production scans so the guards in PrimeTester stay commented out without breaking validation.
[InlineData(7UL, true)]
[InlineData(9UL, false)]
[InlineData(11UL, true)]
[InlineData(13UL, true)]
[InlineData(21UL, false)]
[InlineData(97UL, true)]
[InlineData(133UL, false)]
[InlineData(137UL, true)]
[InlineData(341UL, false)]
public void IsPrime_returns_expected_results(ulong n, bool expected)
{
var tester = new PrimeTester();
[Theory]
[Trait("Category", "Fast")]
// EvenPerfectBitScanner never routes the tiny values anymore; keep coverage focused on the admissible range handled by production scans so the guards in PrimeTester stay commented out without breaking validation.
[InlineData(7UL, true)]
[InlineData(9UL, false)]
[InlineData(11UL, true)]
[InlineData(13UL, true)]
[InlineData(21UL, false)]
[InlineData(97UL, true)]
[InlineData(133UL, false)]
[InlineData(137UL, true)]
[InlineData(143UL, false)]
[InlineData(199UL, true)]
[InlineData(209UL, false)]
[InlineData(403UL, false)]
[InlineData(341UL, false)]
public void IsPrime_returns_expected_results(ulong n, bool expected)
{
var tester = new PrimeTester();
tester.IsPrime(n, CancellationToken.None).Should().Be(expected);
}
PrimeTester.IsPrimeCpu(n).Should().Be(expected);
}
[Fact]
[Trait("Category", "Fast")]
public void IsPrimeGpu_falls_back_to_cpu_when_forced()
{
var tester = new PrimeTester();
GpuContextPool.ForceCpu = true;
[Theory]
[Trait("Category", "Fast")]
[InlineData(139UL, true)]
[InlineData(189UL, false)]
[InlineData(193UL, true)]
[InlineData(279UL, false)]
public void IsPrimeGpu_uses_residue_specific_tables(ulong n, bool expected)
{
var tester = new PrimeTester();
tester.IsPrimeGpu(137UL, CancellationToken.None).Should().BeTrue();
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
PrimeTester.IsPrimeGpu(gpu, n).Should().Be(expected);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
tester.IsPrimeGpu(341UL, CancellationToken.None).Should().BeFalse();
[Fact]
[Trait("Category", "Fast")]
public void IsPrimeGpu_falls_back_to_cpu_when_forced()
{
var tester = new PrimeTester();
PrimeTester.IsPrimeCpu(137UL).Should().BeTrue();
PrimeTester.IsPrimeCpu(341UL).Should().BeFalse();
}
GpuContextPool.ForceCpu = false;
}
[Fact]
[Trait("Category", "Fast")]
public void IsPrimeGpu_handles_parallel_calls_for_known_primes()
{
GpuPrimeWorkLimiter.SetLimit(64);
PrimeTester.GpuBatchSize = 256_000;
[Fact]
[Trait("Category", "Fast")]
public void IsPrimeGpu_handles_parallel_calls_for_known_primes()
{
GpuContextPool.ForceCpu = false;
GpuPrimeWorkLimiter.SetLimit(64);
PrimeTester.GpuBatchSize = 256_000;
ulong[] primes = [107UL, 127UL, 521UL, 607UL];
var results = new bool[primes.Length];
ulong[] primes = [107UL, 127UL, 521UL, 607UL];
var results = new bool[primes.Length];
var testers = new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
Parallel.For(0, primes.Length, i =>
{
results[i] = PrimeTester.IsPrimeGpu(gpu, primes[i]);
});
var testers = new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true);
Parallel.For(0, primes.Length, i =>
{
results[i] = testers.Value!.IsPrimeGpu(primes[i], CancellationToken.None);
});
results.Should().AllBeEquivalentTo(true);
results.Should().AllBeEquivalentTo(true);
Parallel.For(0, Environment.ProcessorCount * 16, _ =>
{
foreach (ulong prime in primes)
{
testers.Value!.IsPrimeGpu(prime, CancellationToken.None).Should().BeTrue();
}
});
}
Parallel.For(0, Environment.ProcessorCount * 16, _ =>
{
foreach (ulong prime in primes)
{
PrimeTester.IsPrimeGpu(gpu, prime).Should().BeTrue();
}
});
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
}
@@ -32,14 +32,39 @@ public class PrimesGeneratorTests
var lastOnePow2 = PrimesGenerator.SmallPrimesPow2LastOne;
var lastSeven = PrimesGenerator.SmallPrimesLastSeven;
var lastSevenPow2 = PrimesGenerator.SmallPrimesPow2LastSeven;
var lastThree = DivisorGenerator.SmallPrimesLastThree;
var lastThreePow2 = DivisorGenerator.SmallPrimesPow2LastThree;
var lastNine = DivisorGenerator.SmallPrimesLastNine;
var lastNinePow2 = DivisorGenerator.SmallPrimesPow2LastNine;
var lastOneWithoutThree = DivisorGenerator.SmallPrimesLastOneWithoutLastThree;
var lastOneWithoutThreePow2 = DivisorGenerator.SmallPrimesPow2LastOneWithoutLastThree;
var lastSevenWithoutThree = DivisorGenerator.SmallPrimesLastSevenWithoutLastThree;
var lastSevenWithoutThreePow2 = DivisorGenerator.SmallPrimesPow2LastSevenWithoutLastThree;
var lastNineWithoutThree = DivisorGenerator.SmallPrimesLastNineWithoutLastThree;
var lastNineWithoutThreePow2 = DivisorGenerator.SmallPrimesPow2LastNineWithoutLastThree;
lastOne.Length.Should().Be((int)PerfectNumberConstants.PrimesLimit);
lastSeven.Length.Should().Be((int)PerfectNumberConstants.PrimesLimit);
lastThree.Length.Should().Be((int)PerfectNumberConstants.PrimesLimit);
lastNine.Length.Should().Be((int)PerfectNumberConstants.PrimesLimit);
lastOneWithoutThree.Length.Should().BeGreaterThan(0);
lastSevenWithoutThree.Length.Should().BeGreaterThan(0);
lastNineWithoutThree.Length.Should().BeGreaterThan(0);
lastOneWithoutThree.Length.Should().BeLessThan(lastOne.Length);
lastSevenWithoutThree.Length.Should().BeLessThan(lastSeven.Length);
lastNineWithoutThree.Length.Should().BeLessThan(lastNine.Length);
lastOnePow2.Length.Should().Be(lastOne.Length);
lastSevenPow2.Length.Should().Be(lastSeven.Length);
lastThreePow2.Length.Should().Be(lastThree.Length);
lastNinePow2.Length.Should().Be(lastNine.Length);
lastOneWithoutThreePow2.Length.Should().Be(lastOneWithoutThree.Length);
lastSevenWithoutThreePow2.Length.Should().Be(lastSevenWithoutThree.Length);
lastNineWithoutThreePow2.Length.Should().Be(lastNineWithoutThree.Length);
lastOne[..5].Should().Equal([3U, 7U, 11U, 13U, 19U]);
lastSeven[..5].Should().Equal([3U, 7U, 11U, 13U, 17U]);
lastThree[..6].Should().Equal([3U, 7U, 11U, 13U, 17U, 19U]);
lastNine[..6].Should().Equal([3U, 7U, 11U, 13U, 17U, 19U]);
for (int i = 0; i < lastOne.Length; i++)
{
@@ -58,6 +83,64 @@ public class PrimesGeneratorTests
.Should().BeTrue();
lastSevenPow2[i].Should().Be(prime * (ulong)prime);
}
for (int i = 0; i < lastThree.Length; i++)
{
uint prime = lastThree[i];
uint mod10 = prime % 10U;
(mod10 == 3U || mod10 == 7U || prime == 11U || prime == 19U)
.Should().BeTrue();
lastThreePow2[i].Should().Be(prime * (ulong)prime);
}
lastOneWithoutThree.Should().NotBeEmpty();
lastSevenWithoutThree.Should().NotBeEmpty();
lastNineWithoutThree.Should().NotBeEmpty();
for (int i = 0; i < lastOneWithoutThree.Length; i++)
{
uint prime = lastOneWithoutThree[i];
(prime % 10U != 3U).Should().BeTrue();
if (i > 0)
{
prime.Should().BeGreaterThan(lastOneWithoutThree[i - 1]);
}
lastOneWithoutThreePow2[i].Should().Be(prime * (ulong)prime);
}
for (int i = 0; i < lastSevenWithoutThree.Length; i++)
{
uint prime = lastSevenWithoutThree[i];
(prime % 10U != 3U).Should().BeTrue();
if (i > 0)
{
prime.Should().BeGreaterThan(lastSevenWithoutThree[i - 1]);
}
lastSevenWithoutThreePow2[i].Should().Be(prime * (ulong)prime);
}
for (int i = 0; i < lastNineWithoutThree.Length; i++)
{
uint prime = lastNineWithoutThree[i];
(prime % 10U != 3U).Should().BeTrue();
if (i > 0)
{
prime.Should().BeGreaterThan(lastNineWithoutThree[i - 1]);
}
lastNineWithoutThreePow2[i].Should().Be(prime * (ulong)prime);
}
for (int i = 0; i < lastNine.Length; i++)
{
uint prime = lastNine[i];
uint mod10 = prime % 10U;
(mod10 == 3U || mod10 == 7U || mod10 == 9U || prime == 11U)
.Should().BeTrue();
lastNinePow2[i].Should().Be(prime * (ulong)prime);
}
}
}
@@ -1,284 +1,305 @@
using System.Numerics;
using FluentAssertions;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class UInt128ExtensionsTests
{
public static IEnumerable<object[]> BinaryGcdCases()
{
yield return new object[] { UInt128.Zero, (UInt128)5, (UInt128)5 };
yield return new object[] { (UInt128)18, (UInt128)24, (UInt128)6 };
public static IEnumerable<object[]> BinaryGcdCases()
{
yield return new object[] { UInt128.Zero, (UInt128)5, (UInt128)5 };
yield return new object[] { (UInt128)18, (UInt128)24, (UInt128)6 };
UInt128 big1 = (UInt128.One << 96) + 12345;
UInt128 big2 = (UInt128.One << 80) + 67890;
yield return new object[]
{
big1,
big2,
(UInt128)BigInteger.GreatestCommonDivisor((BigInteger)big1, (BigInteger)big2)
};
}
UInt128 big1 = (UInt128.One << 96) + 12345;
UInt128 big2 = (UInt128.One << 80) + 67890;
yield return new object[]
{
big1,
big2,
(UInt128)BigInteger.GreatestCommonDivisor((BigInteger)big1, (BigInteger)big2)
};
}
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(BinaryGcdCases))]
public void BinaryGcd_matches_BigInteger(UInt128 a, UInt128 b, UInt128 expected)
{
a.BinaryGcd(b).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(BinaryGcdCases))]
public void BinaryGcd_matches_BigInteger(UInt128 a, UInt128 b, UInt128 expected)
{
a.BinaryGcd(b).Should().Be(expected);
}
public static IEnumerable<object[]> TrailingZeroCases()
{
yield return new object[] { UInt128.Zero, 128 };
yield return new object[] { (UInt128)1, 0 };
yield return new object[] { (UInt128)8, 3 };
yield return new object[] { UInt128.One << 80, 80 };
}
public static IEnumerable<object[]> TrailingZeroCases()
{
yield return new object[] { UInt128.Zero, 128 };
yield return new object[] { (UInt128)1, 0 };
yield return new object[] { (UInt128)8, 3 };
yield return new object[] { UInt128.One << 80, 80 };
}
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(TrailingZeroCases))]
public void CountTrailingZeros_returns_expected(UInt128 value, int expected)
{
value.CountTrailingZeros().Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[MemberData(nameof(TrailingZeroCases))]
public void CountTrailingZeros_returns_expected(UInt128 value, int expected)
{
value.CountTrailingZeros().Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(3UL)]
[InlineData(5UL)]
[InlineData(7UL)]
public void CalculateOrder_matches_naive(ulong q)
{
UInt128 q128 = q;
ulong expected = NaiveOrder(q);
q128.CalculateOrder().Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(3UL)]
[InlineData(5UL)]
[InlineData(7UL)]
public void CalculateOrderCpu_matches_naive(ulong q)
{
UInt128 q128 = q;
ulong expected = NaiveOrder(q);
q128.CalculateOrderCpu().Should().Be(expected);
}
private static ulong NaiveOrder(ulong q)
{
if (q <= 2UL)
{
return 0UL;
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(3UL)]
[InlineData(5UL)]
[InlineData(7UL)]
public void CalculateOrderGpu_matches_naive(ulong q)
{
UInt128 q128 = q;
ulong expected = NaiveOrder(q);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
q128.CalculateOrderGpu(gpu).Should().Be(expected);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
ulong order = 1UL;
ulong value = 2UL % q;
while (value != 1UL)
{
value = (value << 1) % q;
order++;
}
private static ulong NaiveOrder(ulong q)
{
if (q <= 2UL)
{
return 0UL;
}
return order;
}
ulong order = 1UL;
ulong value = 2UL % q;
while (value != 1UL)
{
value = (value << 1) % q;
order++;
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, true)]
[InlineData(9UL, false)]
[InlineData(97UL, true)]
public void IsPrimeCandidate_checks_small(ulong n, bool expected)
{
((UInt128)n).IsPrimeCandidate().Should().Be(expected);
}
return order;
}
[Fact]
[Trait("Category", "Fast")]
public void IsPrimeCandidate_detects_large_composite()
{
UInt128 n = (UInt128.One << 64) + 1;
n.IsPrimeCandidate().Should().BeFalse();
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, true)]
[InlineData(9UL, false)]
[InlineData(97UL, true)]
public void IsPrimeCandidate_checks_small(ulong n, bool expected)
{
((UInt128)n).IsPrimeCandidate().Should().Be(expected);
}
[Fact]
[Trait("Category", "Fast")]
public void Mod10_8_5_3_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 12345678901234567890UL;
[Fact]
[Trait("Category", "Fast")]
public void IsPrimeCandidate_detects_large_composite()
{
UInt128 n = (UInt128.One << 64) + 1;
n.IsPrimeCandidate().Should().BeFalse();
}
value.Mod10_8_5_3(out ulong mod10, out ulong mod8, out ulong mod5, out ulong mod3);
[Fact]
[Trait("Category", "Fast")]
public void Mod10_8_5_3_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 12345678901234567890UL;
ulong expected10 = (ulong)(value % 10);
ulong expected8 = (ulong)(value % 8);
ulong expected5 = (ulong)(value % 5);
ulong expected3 = (ulong)(value % 3);
value.Mod10_8_5_3(out ulong mod10, out ulong mod8, out ulong mod5, out ulong mod3);
mod10.Should().Be(expected10);
mod8.Should().Be(expected8);
mod5.Should().Be(expected5);
mod3.Should().Be(expected3);
}
ulong expected10 = (ulong)(value % 10);
ulong expected8 = (ulong)(value % 8);
ulong expected5 = (ulong)(value % 5);
ulong expected3 = (ulong)(value % 3);
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, 0UL)]
[InlineData(2UL, 1UL)]
[InlineData(2UL, 63UL)]
[InlineData(2UL, 127UL)]
[InlineData(3UL, 5UL)]
public void Pow_matches_BigInteger(ulong value, ulong exponent)
{
UInt128 v = value;
UInt128 expected = (UInt128)BigPow(value, exponent);
mod10.Should().Be(expected10);
mod8.Should().Be(expected8);
mod5.Should().Be(expected5);
mod3.Should().Be(expected3);
}
v.Pow(exponent).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, 0UL)]
[InlineData(2UL, 1UL)]
[InlineData(2UL, 63UL)]
[InlineData(2UL, 127UL)]
[InlineData(3UL, 5UL)]
public void Pow_matches_BigInteger(ulong value, ulong exponent)
{
UInt128 v = value;
UInt128 expected = (UInt128)BigPow(value, exponent);
private static BigInteger BigPow(ulong value, ulong exponent)
{
BigInteger result = BigInteger.One;
BigInteger baseValue = value;
v.Pow(exponent).Should().Be(expected);
}
while (exponent != 0UL)
{
if ((exponent & 1UL) != 0UL)
{
result *= baseValue;
}
private static BigInteger BigPow(ulong value, ulong exponent)
{
BigInteger result = BigInteger.One;
BigInteger baseValue = value;
baseValue *= baseValue;
exponent >>= 1;
}
while (exponent != 0UL)
{
if ((exponent & 1UL) != 0UL)
{
result *= baseValue;
}
return result;
}
baseValue *= baseValue;
exponent >>= 1;
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, 10UL, 17UL)]
[InlineData(123456789UL, 3UL, 97UL)]
public void ModPow_matches_BigInteger(ulong value, ulong exponent, ulong modulus)
{
UInt128 v = value;
UInt128 e = exponent;
UInt128 m = modulus;
return result;
}
UInt128 expected = (UInt128)BigInteger.ModPow(value, exponent, modulus);
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, 10UL, 17UL)]
[InlineData(123456789UL, 3UL, 97UL)]
public void ModPow_matches_BigInteger(ulong value, ulong exponent, ulong modulus)
{
UInt128 v = value;
UInt128 e = exponent;
UInt128 m = modulus;
v.ModPow(e, m).Should().Be(expected);
}
UInt128 expected = (UInt128)BigInteger.ModPow(value, exponent, modulus);
[Fact]
[Trait("Category", "Fast")]
public void ModPow_handles_large_values()
{
UInt128 v = (UInt128.One << 96) + 12345;
UInt128 e = 17;
UInt128 m = 97;
v.ModPow(e, m).Should().Be(expected);
}
UInt128 expected = (UInt128)BigInteger.ModPow((BigInteger)v, (BigInteger)e, (BigInteger)m);
[Fact]
[Trait("Category", "Fast")]
public void ModPow_handles_large_values()
{
UInt128 v = (UInt128.One << 96) + 12345;
UInt128 e = 17;
UInt128 m = 97;
v.ModPow(e, m).Should().Be(expected);
}
UInt128 expected = (UInt128)BigInteger.ModPow((BigInteger)v, (BigInteger)e, (BigInteger)m);
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL)]
[InlineData(1UL)]
[InlineData(123456789UL)]
public void Mod10_matches_operator(ulong low)
{
UInt128 value = (UInt128.One << 100) + low;
value.Mod10().Should().Be((ulong)(value % 10));
}
v.ModPow(e, m).Should().Be(expected);
}
[Fact]
[Trait("Category", "Fast")]
public void Mod8_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 12345;
value.Mod8().Should().Be((ulong)(value % 8));
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL)]
[InlineData(1UL)]
[InlineData(123456789UL)]
public void Mod10_matches_operator(ulong low)
{
UInt128 value = (UInt128.One << 100) + low;
value.Mod10().Should().Be((ulong)(value % 10));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod3_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 12345;
value.Mod3().Should().Be((ulong)(value % 3));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod8_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 12345;
value.Mod8().Should().Be((ulong)(value % 8));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod6_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 9876543210UL;
value.Mod6().Should().Be((ulong)(value % 6));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod3_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 12345;
value.Mod3().Should().Be((ulong)(value % 3));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod5_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 12345;
value.Mod5().Should().Be((ulong)(value % 5));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod6_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 9876543210UL;
value.Mod6().Should().Be((ulong)(value % 6));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod7_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 9876543210987654321UL;
value.Mod7().Should().Be((ulong)(value % 7));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod5_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 12345;
value.Mod5().Should().Be((ulong)(value % 5));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod11_matches_operator()
{
UInt128 value = (UInt128.One << 120) + 9876543210987654321UL;
value.Mod11().Should().Be((ulong)(value % 11));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod7_matches_operator()
{
UInt128 value = (UInt128.One << 100) + 9876543210987654321UL;
value.Mod7().Should().Be((ulong)(value % 7));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod128_matches_operator()
{
UInt128 value = (UInt128.One << 120) + 9876543210987654321UL;
value.Mod128().Should().Be((ulong)(value % 128));
}
[Fact]
[Trait("Category", "Fast")]
public void Mod11_matches_operator()
{
UInt128 value = (UInt128.One << 120) + 9876543210987654321UL;
value.Mod11().Should().Be((ulong)(value % 11));
}
[Fact]
[Trait("Category", "Fast")]
public void Mul64_matches_expected_product()
{
UInt128 a = (UInt128.One << 80) + 123456789;
UInt128 b = (UInt128.One << 64) + 987654321;
[Fact]
[Trait("Category", "Fast")]
public void Mod128_matches_operator()
{
UInt128 value = (UInt128.One << 120) + 9876543210987654321UL;
value.Mod128().Should().Be((ulong)(value % 128));
}
UInt128 expected = (UInt128)((UInt128)(ulong)a * b);
[Fact]
[Trait("Category", "Fast")]
public void Mul64_matches_expected_product()
{
UInt128 a = (UInt128.One << 80) + 123456789;
UInt128 b = (UInt128.One << 64) + 987654321;
a.Mul64(b).Should().Be(expected);
}
UInt128 expected = (UInt128)((UInt128)(ulong)a * b);
[Theory]
[Trait("Category", "Fast")]
[InlineData(123UL, 456UL, 789UL)]
[InlineData(123456789UL, 987654321UL, 1009UL)]
public void MulMod_matches_BigInteger(ulong a, ulong b, ulong modulus)
{
UInt128 ua = a % modulus;
UInt128 ub = b % modulus;
UInt128 mod = modulus;
a.Mul64(b).Should().Be(expected);
}
UInt128 expected = (UInt128)(((BigInteger)ua * (BigInteger)ub) % modulus);
[Theory]
[Trait("Category", "Fast")]
[InlineData(123UL, 456UL, 789UL)]
[InlineData(123456789UL, 987654321UL, 1009UL)]
public void MulMod_matches_BigInteger(ulong a, ulong b, ulong modulus)
{
UInt128 ua = a % modulus;
UInt128 ub = b % modulus;
UInt128 mod = modulus;
ua.MulMod(ub, mod).Should().Be(expected);
}
UInt128 expected = (UInt128)(((BigInteger)ua * (BigInteger)ub) % modulus);
[Fact]
[Trait("Category", "Fast")]
public void MulMod_handles_large_inputs()
{
UInt128 a = (UInt128.One << 80) + 12345;
UInt128 b = (UInt128.One << 96) + 67890;
UInt128 mod = (UInt128.One << 100) - 93;
ua.MulMod(ub, mod).Should().Be(expected);
}
UInt128 expected = (UInt128)(((BigInteger)a * (BigInteger)b) % (BigInteger)mod);
[Fact]
[Trait("Category", "Fast")]
public void MulMod_handles_large_inputs()
{
UInt128 a = (UInt128.One << 80) + 12345;
UInt128 b = (UInt128.One << 96) + 67890;
UInt128 mod = (UInt128.One << 100) - 93;
a.MulMod(b, mod).Should().Be(expected);
}
UInt128 expected = (UInt128)(((BigInteger)a * (BigInteger)b) % (BigInteger)mod);
a.MulMod(b, mod).Should().Be(expected);
}
}
+240 -183
View File
@@ -1,225 +1,282 @@
using System.Numerics;
using FluentAssertions;
using PerfectNumbers.Core.Gpu.Accelerators;
using Xunit;
namespace PerfectNumbers.Core.Tests;
public class ULongExtensionsTests
{
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL)]
[InlineData(1UL)]
[InlineData(9UL)]
[InlineData(10UL)]
[InlineData(1234567890UL)]
[InlineData(ulong.MaxValue)]
public void Mod10_returns_same_as_operator(ulong value)
{
ulong expected = value % 10UL;
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL)]
[InlineData(1UL)]
[InlineData(9UL)]
[InlineData(10UL)]
[InlineData(1234567890UL)]
[InlineData(ulong.MaxValue)]
public void Mod10_returns_same_as_operator(ulong value)
{
byte expected = (byte)(value % 10UL);
ULongExtensions.Mod10(value).Should().Be(expected);
}
ULongExtensions.Mod10(value).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL)]
[InlineData(ulong.MaxValue)]
[InlineData(1234567890123456789UL)]
public void Mod128_matches_operator(ulong value)
{
value.Mod128().Should().Be(value % 128UL);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL)]
[InlineData(ulong.MaxValue)]
[InlineData(1234567890123456789UL)]
public void Mod128_matches_operator(ulong value)
{
value.Mod128().Should().Be(value % 128UL);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(1UL)]
[InlineData(123456789UL)]
[InlineData(ulong.MaxValue)]
public void Mod10_8_5_3Steps_matches_manual_formula(ulong value)
{
value.Mod10_8_5_3Steps(out ulong step10, out ulong step8, out ulong step5, out ulong step3);
[Theory]
[Trait("Category", "Fast")]
[InlineData(1UL)]
[InlineData(123456789UL)]
[InlineData(ulong.MaxValue)]
public void Mod10_8_5_3Steps_matches_manual_formula(ulong value)
{
value.Mod10_8_5_3Steps(out ulong step10, out ulong step8, out ulong step5, out ulong step3);
ulong expected10 = ((value % 10UL) << 1) % 10UL;
ulong expected8 = ((value & 7UL) << 1) & 7UL;
ulong expected5 = ((value % 5UL) << 1) % 5UL;
ulong expected3 = ((value % 3UL) << 1) % 3UL;
ulong expected10 = ((value % 10UL) << 1) % 10UL;
ulong expected8 = ((value & 7UL) << 1) & 7UL;
ulong expected5 = ((value % 5UL) << 1) % 5UL;
ulong expected3 = ((value % 3UL) << 1) % 3UL;
step10.Should().Be(expected10);
step8.Should().Be(expected8);
step5.Should().Be(expected5);
step3.Should().Be(expected3);
}
step10.Should().Be(expected10);
step8.Should().Be(expected8);
step5.Should().Be(expected5);
step3.Should().Be(expected3);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, true)]
[InlineData(9UL, false)]
[InlineData(97UL, true)]
public void IsPrimeCandidate_filters_composites(ulong candidate, bool expected)
{
candidate.IsPrimeCandidate().Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, true)]
[InlineData(9UL, false)]
[InlineData(97UL, true)]
public void IsPrimeCandidate_filters_composites(ulong candidate, bool expected)
{
candidate.IsPrimeCandidate().Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(3UL)]
[InlineData(5UL)]
[InlineData(7UL)]
[InlineData(11UL)]
public void CalculateOrder_matches_naive_algorithm(ulong q)
{
ulong expected = NaiveOrder(q);
[Theory]
[Trait("Category", "Fast")]
[InlineData(3UL)]
[InlineData(5UL)]
[InlineData(7UL)]
[InlineData(11UL)]
public void CalculateOrderCpu_matches_naive_algorithm(ulong q)
{
ulong expected = NaiveOrder(q);
q.CalculateOrder().Should().Be(expected);
}
q.CalculateOrderCpu().Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, 10UL, 17UL)]
[InlineData(123456789UL, 3UL, 97UL)]
public void ModPow64_matches_BigInteger(ulong value, ulong exponent, ulong modulus)
{
ulong expected = (ulong)BigInteger.ModPow(value, exponent, modulus);
[Theory]
[Trait("Category", "Fast")]
[InlineData(3UL)]
[InlineData(5UL)]
[InlineData(7UL)]
[InlineData(11UL)]
public void CalculateOrderGpu_matches_naive_algorithm(ulong q)
{
ulong expected = NaiveOrder(q);
value.ModPow64(exponent, modulus).Should().Be(expected);
}
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
q.CalculateOrderGpu(gpu).Should().Be(expected);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(10UL, 17UL)]
[InlineData(123UL, 97UL)]
public void PowMod_returns_same_as_BigInteger(ulong exponent, ulong modulus)
{
UInt128 expected = (UInt128)BigInteger.ModPow(2, exponent, modulus);
[Theory]
[Trait("Category", "Fast")]
[InlineData(2UL, 10UL, 17UL)]
[InlineData(123456789UL, 3UL, 97UL)]
public void ModPow64_matches_BigInteger(ulong value, ulong exponent, ulong modulus)
{
ulong expected = (ulong)BigInteger.ModPow(value, exponent, modulus);
exponent.PowMod((UInt128)modulus).Should().Be(expected);
}
value.ModPow64(exponent, modulus).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(5UL, 7UL, 3UL, 4UL)]
[InlineData(10UL, 7UL, 3UL, 2UL)]
public void PowModWithCycle_uses_cycle_length(ulong exponent, ulong modulus, ulong cycle, ulong expected)
{
((UInt128)exponent).PowModWithCycle((UInt128)modulus, cycle).Should().Be((UInt128)expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(10UL, 17UL)]
[InlineData(123UL, 97UL)]
public void PowMod_returns_same_as_BigInteger(ulong exponent, ulong modulus)
{
UInt128 expected = (UInt128)BigInteger.ModPow(2, exponent, modulus);
[Theory]
[Trait("Category", "Fast")]
[InlineData(15UL, true)]
[InlineData(7UL, false)]
[InlineData(9UL, false)]
public void SharesFactorWithExponentMinusOne_detects_relationship(ulong exponent, bool expected)
{
exponent.SharesFactorWithExponentMinusOne().Should().Be(expected);
}
exponent.PowMod((UInt128)modulus).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(1234567890123456789UL, 3UL)]
[InlineData(ulong.MaxValue, 7UL)]
public void FastDiv64_matches_division(ulong value, ulong divisor)
{
ulong mul = (ulong)(((UInt128)1 << 64) / divisor);
[Theory]
[Trait("Category", "Fast")]
[InlineData(5UL, 7UL, 3UL, 4UL)]
[InlineData(10UL, 7UL, 3UL, 2UL)]
public void PowModWithCycle_uses_cycle_length(ulong exponent, ulong modulus, ulong cycle, ulong expected)
{
((UInt128)exponent).PowModWithCycle((UInt128)modulus, cycle).Should().Be((UInt128)expected);
}
value.FastDiv64(divisor, mul).Should().Be(value / divisor);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(15UL, true)]
[InlineData(7UL, false)]
[InlineData(9UL, false)]
public void SharesFactorWithExponentMinusOneCpu_detects_relationship(ulong exponent, bool expected)
{
exponent.SharesFactorWithExponentMinusOneCpu().Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL, 0UL)]
[InlineData(ulong.MaxValue, 1UL)]
[InlineData(123456789UL, 987654321UL)]
public void MulHighCpu_matches_high_bits(ulong x, ulong y)
{
ulong expected = (ulong)(((UInt128)x * y) >> 64);
[Theory]
[Trait("Category", "Fast")]
[InlineData(15UL, true)]
[InlineData(7UL, false)]
[InlineData(9UL, false)]
public void SharesFactorWithExponentMinusOneGpu_detects_relationship(ulong exponent, bool expected)
{
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
exponent.SharesFactorWithExponentMinusOneGpu(gpu).Should().Be(expected);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
x.MulHighCpu(y).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(1234567890123456789UL, 3UL)]
[InlineData(ulong.MaxValue, 7UL)]
public void FastDiv64_matches_division(ulong value, ulong divisor)
{
ulong mul = (ulong)(((UInt128)1 << 64) / divisor);
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL, 0UL)]
[InlineData(ulong.MaxValue, 1UL)]
[InlineData(123456789UL, 987654321UL)]
public void MulHighGpu_matches_cpu_baseline(ulong x, ulong y)
{
x.MulHighGpu(y).Should().Be(x.MulHighCpu(y));
}
value.FastDiv64(divisor, mul).Should().Be(value / divisor);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL, 0UL)]
[InlineData(ulong.MaxValue, 2UL)]
[InlineData(123456789UL, 987654321UL)]
public void Mul64_matches_UInt128_product(ulong a, ulong b)
{
UInt128 expected = (UInt128)a * b;
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL, 0UL)]
[InlineData(ulong.MaxValue, 1UL)]
[InlineData(123456789UL, 987654321UL)]
public void MulHighCpu_matches_high_bits(ulong x, ulong y)
{
ulong expected = (ulong)(((UInt128)x * y) >> 64);
a.Mul64(b).Should().Be(expected);
}
x.MulHighCpu(y).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(123456789UL, 987654321UL, 97UL)]
[InlineData(ulong.MaxValue, ulong.MaxValue, 1009UL)]
public void MulMod64_matches_BigInteger(ulong a, ulong b, ulong modulus)
{
ulong expected = (ulong)BigInteger.Remainder((BigInteger)a * b, modulus);
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL, 0UL)]
[InlineData(ulong.MaxValue, 1UL)]
[InlineData(123456789UL, 987654321UL)]
public void MulHighGpu_matches_cpu_baseline(ulong x, ulong y)
{
x.MulHighGpu(y).Should().Be(x.MulHighCpu(y));
}
a.MulMod64(b, modulus).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(0UL, 0UL)]
[InlineData(ulong.MaxValue, 2UL)]
[InlineData(123456789UL, 987654321UL)]
public void Mul64_matches_UInt128_product(ulong a, ulong b)
{
UInt128 expected = (UInt128)a * b;
[Theory]
[Trait("Category", "Fast")]
[InlineData(100UL, 7UL, 3UL)]
[InlineData(123UL, 9UL, 6UL)]
public void PowModWithCycle_ulong_overload_uses_cycle(ulong exponent, ulong modulus, ulong cycle)
{
UInt128 expected = (UInt128)BigInteger.ModPow(2, exponent, modulus);
a.Mul64(b).Should().Be(expected);
}
exponent.PowModWithCycle((UInt128)modulus, cycle).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(123456789UL, 987654321UL, 97UL)]
[InlineData(ulong.MaxValue, ulong.MaxValue, 1009UL)]
public void MulMod64_matches_BigInteger(ulong a, ulong b, ulong modulus)
{
ulong expected = (ulong)BigInteger.Remainder((BigInteger)a * b, modulus);
[Theory]
[Trait("Category", "Fast")]
[InlineData(100UL, 7UL, 3UL)]
[InlineData(123UL, 9UL, 6UL)]
public void PowModWithCycle_ulong_uint128_cycle_uses_cycle(ulong exponent, ulong modulus, ulong cycle)
{
UInt128 expected = (UInt128)BigInteger.ModPow(2, exponent, modulus);
a.MulMod64(b, modulus).Should().Be(expected);
}
exponent.PowModWithCycle((UInt128)modulus, (UInt128)cycle).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(100UL, 7UL, 3UL)]
[InlineData(123UL, 9UL, 6UL)]
public void PowModWithCycle_ulong_overload_uses_cycle(ulong exponent, ulong modulus, ulong cycle)
{
UInt128 expected = (UInt128)BigInteger.ModPow(2, exponent, modulus);
[Theory]
[Trait("Category", "Fast")]
[InlineData(11UL, 13UL)]
public void PowModCrt_matches_BigInteger(ulong exponent, ulong modulus)
{
MersenneDivisorCycles cycles = MersenneDivisorCycles.Shared;
UInt128 expected = (UInt128)BigInteger.ModPow(2, exponent, modulus);
exponent.PowModWithCycle((UInt128)modulus, cycle).Should().Be(expected);
}
exponent.PowModCrt((UInt128)modulus, cycles).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(100UL, 7UL, 3UL)]
[InlineData(123UL, 9UL, 6UL)]
public void PowModWithCycle_ulong_uint128_cycle_uses_cycle(ulong exponent, ulong modulus, ulong cycle)
{
UInt128 expected = (UInt128)BigInteger.ModPow(2, exponent, modulus);
private static ulong NaiveOrder(ulong q)
{
if (q <= 2UL)
{
return 0UL;
}
exponent.PowModWithCycle((UInt128)modulus, (UInt128)cycle).Should().Be(expected);
}
ulong order = 1UL;
ulong value = 2UL % q;
while (value != 1UL)
{
value = (value << 1) % q;
order++;
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(11UL, 13UL)]
public void PowModCrtCpu_matches_BigInteger(ulong exponent, ulong modulus)
{
UInt128 expected = (UInt128)BigInteger.ModPow(2, exponent, modulus);
return order;
}
exponent.PowModCrtCpu((UInt128)modulus).Should().Be(expected);
}
[Theory]
[Trait("Category", "Fast")]
[InlineData(11UL, 13UL)]
public void PowModCrtGpu_matches_BigInteger(ulong exponent, ulong modulus)
{
UInt128 expected = (UInt128)BigInteger.ModPow(2, exponent, modulus);
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
try
{
exponent.PowModCrtGpu(gpu, (UInt128)modulus).Should().Be(expected);
}
finally
{
PrimeOrderCalculatorAccelerator.Return(gpu);
}
}
private static ulong NaiveOrder(ulong q)
{
if (q <= 2UL)
{
return 0UL;
}
ulong order = 1UL;
ulong value = 2UL % q;
while (value != 1UL)
{
value = (value << 1) % q;
order++;
}
return order;
}
}
@@ -0,0 +1,39 @@
using System.Runtime.CompilerServices;
namespace PerfectNumbers.Core;
public struct AscendingDivisorRemainderStepper
{
private readonly ulong _dividend;
private ulong _maxDivisor;
[MethodImpl(MethodImplOptions.AggressiveOptimization | MethodImplOptions.AggressiveInlining)]
public AscendingDivisorRemainderStepper(ulong value)
{
_dividend = value;
ulong root = (ulong)Math.Sqrt(value);
if ((UInt128)root * root < value)
{
root++;
}
_maxDivisor = root;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public readonly bool ShouldContinue(ulong divisor) => divisor <= _maxDivisor;
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public bool Divides(ulong divisor)
{
ulong remainder = _dividend;
ulong quotient = remainder / divisor;
remainder -= quotient * divisor;
if (quotient < _maxDivisor)
{
_maxDivisor = quotient;
}
return remainder == 0UL;
}
}
+269
View File
@@ -0,0 +1,269 @@
using System.Runtime.CompilerServices;
namespace PerfectNumbers.Core;
[method: MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public sealed class BTree<TKey, TValue>()
{
private const int HashByteCount = sizeof(int);
private const int DefaultCapacity = 64;
private const int SmallBufferCapacity = 4;
private const int RootInlineThreshold = 2048;
private const int RootInlineInitialCapacity = 32;
private const int ShallowTreeThreshold = 1024;
private const int ShallowHashByteCount = 1;
private const int LeafInitialCapacity = 8;
private static readonly EqualityComparer<TKey> _defaultComparer = EqualityComparer<TKey>.Default;
private readonly TKey[] _smallKeys = new TKey[SmallBufferCapacity];
private readonly TValue[] _smallValues = new TValue[SmallBufferCapacity];
private int _smallCount;
private Node[] _nodes = [];
private int _nodeCount;
public int Count;
[MethodImpl(MethodImplOptions.AggressiveOptimization)]
public void Add(TKey key, TValue value)
{
TKey[] smallKeys = _smallKeys;
TValue[] smallValues = _smallValues;
int smallCount = _smallCount;
if (smallCount < SmallBufferCapacity)
{
smallKeys[smallCount] = key;
smallValues[smallCount] = value;
_smallCount = smallCount + 1;
Count++;
return;
}
if (_nodeCount == 0)
{
EnsureRoot();
}
Node[] nodes = _nodes;
if (smallCount > 0)
{
ref Node rootNode = ref nodes[0];
for (int i = 0; i < smallCount; i++)
{
rootNode.AddKeyValue(smallKeys[i], smallValues[i], RootInlineInitialCapacity);
}
_smallCount = 0;
}
if (Count < RootInlineThreshold)
{
ref Node root = ref nodes[0];
root.AddKeyValue(key, value, RootInlineInitialCapacity);
Count++;
return;
}
InsertIntoTree(GetHash(key), key, value, Count);
Count++;
}
[MethodImpl(MethodImplOptions.AggressiveOptimization)]
public int CopyTo(Span<TValue> destination)
{
ArgumentOutOfRangeException.ThrowIfLessThan(destination.Length, Count);
var written = 0;
int smallCount = _smallCount;
TValue[] smallValues = _smallValues;
for (int i = 0; i < smallCount; i++)
{
destination[written++] = smallValues[i];
}
int nodeCount = _nodeCount;
if (nodeCount == 0)
{
return written;
}
FixedCapacityStack<int> stack = new(nodeCount);
stack.Push(0);
Node[]? nodes = _nodes;
while (stack.Count > 0)
{
int index = stack.Pop();
ref readonly Node node = ref nodes[index];
written += node.CopyValues(destination[written..]);
for (int childIndex = 0; childIndex < Node.ChildCount; childIndex++)
{
index = node.GetChild(childIndex);
if (index != -1)
{
stack.Push(index);
}
}
}
return written;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
private static uint GetHash(TKey key)
{
return key is not null
? unchecked((uint)_defaultComparer.GetHashCode(key))
: 0u;
}
[MethodImpl(MethodImplOptions.NoInlining | MethodImplOptions.NoOptimization)]
private void EnsureRoot()
{
_nodes = new Node[DefaultCapacity];
_nodes[0] = new Node();
_nodeCount = 1;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
private void InsertIntoTree(uint hash, TKey key, TValue value, int currentCount)
{
Node[]? nodes = _nodes;
int currentIndex = 0;
int depth = currentCount < ShallowTreeThreshold ? ShallowHashByteCount : HashByteCount;
int nodeCount = _nodeCount;
for (int i = 0; i < depth; i++)
{
ref Node node = ref nodes[currentIndex];
int bucket = (byte)(hash >> (i << 3)) >> 5;
int nextIndex = node.GetChild(bucket);
if (nextIndex == -1)
{
nextIndex = nodeCount;
nodes = EnsureNodeCapacity(nodes, nextIndex, nodeCount);
node = ref nodes[currentIndex];
nodes[nextIndex] = new Node();
node.SetChild(bucket, nextIndex);
nodeCount++;
}
currentIndex = nextIndex;
}
_nodes = nodes;
_nodeCount = nodeCount;
ref Node leaf = ref nodes[currentIndex];
leaf.AddKeyValue(key, value, LeafInitialCapacity);
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
private static Node[] EnsureNodeCapacity(in Node[] nodes, int requiredIndex, int liveNodeCount)
{
int currentLength = nodes.Length;
if (requiredIndex < currentLength)
{
return nodes;
}
int targetLength = currentLength == 0 ? DefaultCapacity : currentLength;
while (targetLength <= requiredIndex)
{
targetLength <<= 1;
}
Node[] newNodes = new Node[targetLength];
if (liveNodeCount > currentLength)
{
liveNodeCount = currentLength;
}
Array.Copy(nodes, newNodes, liveNodeCount);
return newNodes;
}
private struct Node
{
public const int ChildCount = 8;
private TKey[]? _keys;
private TValue[]? _values;
private int _entryCount;
private int[]? _children;
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public readonly int GetChild(int slot)
{
int[]? children = _children;
return children == null ? -1 : children[slot];
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public void SetChild(int slot, int index)
{
int[]? children = _children;
if (children == null)
{
children = new int[ChildCount];
for (int i = 0; i < ChildCount; i++)
{
children[i] = -1;
}
_children = children;
}
children[slot] = index;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public void AddKeyValue(TKey key, TValue value, int desiredInitialCapacity)
{
TKey[]? keys = _keys;
TValue[]? values = _values;
int entryCount = _entryCount;
int newLength;
if (keys == null)
{
newLength = desiredInitialCapacity < 4 ? 4 : desiredInitialCapacity;
keys = new TKey[newLength];
values = new TValue[newLength];
_keys = keys;
_values = values;
}
else if (entryCount == keys.Length)
{
newLength = keys.Length << 1;
TKey[] newKeys = new TKey[newLength];
TValue[] newValues = new TValue[newLength];
new Span<TKey>(keys, 0, entryCount).CopyTo(newKeys);
new Span<TValue>(values, 0, entryCount).CopyTo(newValues);
keys = newKeys;
values = newValues;
_keys = newKeys;
_values = newValues;
}
keys[entryCount] = key;
values![entryCount] = value;
_entryCount = entryCount + 1;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public readonly int CopyValues(Span<TValue> destination)
{
TValue[]? values = _values;
if (values == null)
{
return 0;
}
int entryCount = _entryCount;
new Span<TValue>(values, 0, entryCount).CopyTo(destination);
return entryCount;
}
}
}
@@ -0,0 +1,62 @@
using System.Runtime.CompilerServices;
namespace PerfectNumbers.Core;
public struct BidirectionalCycleRemainderStepper(ulong modulus)
{
private readonly ulong _modulus = modulus;
private ulong _previous = 0UL;
private ulong _remainder = 0UL;
public readonly ulong Modulus
{
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
get
{
return _modulus;
}
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public void Initialize(ulong value)
{
_remainder = value.ReduceCycleRemainder(_modulus);
_previous = value;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public ulong Step(ulong value)
{
long delta = unchecked((long)value - (long)_previous);
_previous = value;
if (delta == 0)
{
return _remainder;
}
if (delta > 0)
{
ulong step = ((ulong)delta).ReduceCycleRemainder(_modulus);
ulong sum = _remainder + step;
if (sum >= _modulus)
{
sum -= _modulus;
}
_remainder = sum;
return _remainder;
}
ulong backward = ((ulong)-delta).ReduceCycleRemainder(_modulus);
if (backward > _remainder)
{
ulong diff = backward - _remainder;
ulong wrap = diff.ReduceCycleRemainder(_modulus);
_remainder = wrap == 0 ? 0UL : _modulus - wrap;
return _remainder;
}
_remainder -= backward;
return _remainder;
}
}
@@ -0,0 +1,45 @@
using System.Numerics;
using System.Runtime.CompilerServices;
namespace PerfectNumbers.Core;
/// <summary>
/// Maintains rolling remainders of an increasing sequence modulo a BigInteger cycle length.
/// Mirrors <see cref="CycleRemainderStepper"/> for values that exceed 64 bits.
/// </summary>
[method: MethodImpl(MethodImplOptions.AggressiveInlining)]
public struct BigIntegerCycleRemainderStepper(byte cycleLength)
{
private readonly BigInteger _cycleLength = (BigInteger)cycleLength;
private BigInteger _previousValue = BigInteger.Zero;
private BigInteger _currentRemainder = 0;
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public byte Initialize(BigInteger value)
{
_previousValue = value;
_currentRemainder = value % _cycleLength;
return (byte)_currentRemainder;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public bool NextIsNotDivisible(BigInteger value)
{
BigInteger delta = value - _previousValue;
_previousValue = value;
delta = (_currentRemainder + delta) % _cycleLength;
_currentRemainder = delta;
return !delta.IsZero;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
public byte ComputeNext(BigInteger value)
{
BigInteger delta = value - _previousValue;
_previousValue = value;
delta = (_currentRemainder + delta) % _cycleLength;
_currentRemainder = delta;
return (byte)delta;
}
}
@@ -0,0 +1,60 @@
using System.Numerics;
using System.Runtime.CompilerServices;
namespace PerfectNumbers.Core;
/// <summary>
/// Tracks successive residues of <c>baseValue^exponent mod modulus</c> for ascending exponents using <see cref="BigInteger"/> inputs.
/// This avoids recomputing full modular exponentiation when stepping forward by a known delta.
/// </summary>
public struct BigIntegerExponentStepper(BigInteger modulus, BigInteger baseValue)
{
private readonly BigInteger _modulus = modulus;
private readonly BigInteger _baseValue = baseValue % modulus;
private BigInteger PreviousExponent = BigInteger.Zero;
private BigInteger CurrentResidue = BigInteger.One % modulus;
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public BigInteger Initialize(BigInteger exponent)
{
CurrentResidue = BigInteger.ModPow(_baseValue, exponent, _modulus);
PreviousExponent = exponent;
return CurrentResidue;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public bool InitializeIsUnity(BigInteger exponent)
{
Initialize(exponent);
return CurrentResidue.IsOne;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public BigInteger ComputeNext(BigInteger exponent)
{
if (exponent == PreviousExponent)
{
return CurrentResidue;
}
BigInteger delta = exponent - PreviousExponent;
BigInteger deltaResidue = BigInteger.ModPow(_baseValue, delta, _modulus);
CurrentResidue = (CurrentResidue * deltaResidue) % _modulus;
PreviousExponent = exponent;
return CurrentResidue;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public bool ComputeNextIsUnity(BigInteger exponent)
{
ComputeNext(exponent);
return CurrentResidue.IsOne;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Reset()
{
PreviousExponent = BigInteger.Zero;
CurrentResidue = BigInteger.One % _modulus;
}
}
+113
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using System.Numerics;
using System.Runtime.CompilerServices;
namespace PerfectNumbers.Core;
/// <summary>
/// BigInteger helpers including cycle-remainder reduction using the subtract ladder that benchmarked best.
/// Shared stats/warm set stay here so ulong reductions can reuse them through ULongExtensions.
/// </summary>
public static partial class BigIntegerExtensions
{
// private const int UnrolledSubtractCount = 6;
// private static readonly HashSet<ulong> WarmModuli;
// private static long _hits;
// private static long _misses;
// static BigIntegerExtensions()
// {
// ulong[] snapshot = MersenneDivisorCycles.Shared.ExportSmallCyclesSnapshot();
// WarmModuli = new HashSet<ulong>(snapshot.Length);
// for (int i = 0; i < snapshot.Length; i++)
// {
// ulong cycle = snapshot[i];
// if (cycle > 1UL)
// {
// WarmModuli.Add(cycle);
// }
// }
// }
// public static void DumpCycleRemainderStats()
// {
// long hits = Interlocked.Read(ref _hits);
// long misses = Interlocked.Read(ref _misses);
// Console.WriteLine($"CycleRemainderReducerCache: hits={hits}, misses={misses}");
// }
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static BigInteger ReduceCycleRemainder(this BigInteger value, BigInteger modulus)
{
// Track(modulus);
// DumpCycleRemainderStats();
if (value < modulus)
{
return value;
}
value -= modulus;
if (value < modulus)
{
return value;
}
value -= modulus;
if (value < modulus)
{
return value;
}
value -= modulus;
if (value < modulus)
{
return value;
}
value -= modulus;
if (value < modulus)
{
return value;
}
value -= modulus;
if (value < modulus)
{
return value;
}
value -= modulus;
if (value < modulus)
{
return value;
}
return value % modulus;
}
// [MethodImpl(MethodImplOptions.AggressiveInlining)]
// internal static void Track(in BigInteger modulus)
// {
// if (modulus <= ulong.MaxValue)
// {
// Track((ulong)modulus);
// }
// else
// {
// Interlocked.Increment(ref _misses);
// }
// }
// [MethodImpl(MethodImplOptions.AggressiveInlining)]
// internal static void Track(ulong modulus)
// {
// if (WarmModuli.Contains(modulus))
// {
// Interlocked.Increment(ref _hits);
// }
// else
// {
// Interlocked.Increment(ref _misses);
// }
// }
}
+143
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using System.Numerics;
namespace PerfectNumbers.Core
{
public static class BigIntegerNumbers
{
public static readonly BigInteger OneShiftedLeft63 = BigInteger.One << 63;
public static readonly BigInteger OneShiftedLeft256MinusOne = (BigInteger.One << 256) - BigInteger.One;
public static readonly BigInteger UlongMaxValue = (BigInteger)ulong.MaxValue;
public static readonly BigInteger UlongMaxValuePlusOne = UlongMaxValue + BigInteger.One;
public static readonly BigInteger UInt128MaxValue = (BigInteger)UInt128.MaxValue;
public static readonly BigInteger UInt128MaxValuePlusOne = UInt128MaxValue + BigInteger.One;
public static readonly BigInteger Two = 2UL;
public static readonly BigInteger Pow2Exact2 = 4UL;
public static readonly BigInteger Pow2Exact3 = 8UL;
public static readonly BigInteger Pow2Exact4 = 16UL;
public static readonly BigInteger Pow2Exact5 = 32UL;
public static readonly BigInteger Pow2Exact6 = 64UL;
public static readonly BigInteger Pow2Exact7 = 128UL;
public static readonly BigInteger Pow2Exact8 = 256UL;
public static readonly BigInteger Pow2Exact9 = 512UL;
public static readonly BigInteger Pow2Exact10 = 1_024UL;
public static readonly BigInteger Pow2Exact11 = 2_048UL;
public static readonly BigInteger Pow2Exact12 = 4_096UL;
public static readonly BigInteger Pow2Exact13 = 8_192UL;
public static readonly BigInteger Pow2Exact14 = 16_384UL;
public static readonly BigInteger Pow2Exact15 = 32_768UL;
public static readonly BigInteger Pow2Exact16 = 65_536UL;
public static readonly BigInteger Pow2Exact17 = 131_072UL;
public static readonly BigInteger Pow2Exact18 = 262_144UL;
public static readonly BigInteger Pow2Exact19 = 524_288UL;
public static readonly BigInteger Pow2Exact20 = 1_048_576UL;
public static readonly BigInteger Pow2Exact21 = 2_097_152UL;
public static readonly BigInteger Pow2Exact22 = 4_194_304UL;
public static readonly BigInteger Pow2Exact23 = 8_388_608UL;
public static readonly BigInteger Pow2Exact24 = 16_777_216UL;
public static readonly BigInteger Pow2Exact25 = 33_554_432UL;
public static readonly BigInteger Pow2Exact26 = 67_108_864UL;
public static readonly BigInteger Pow2Exact27 = 134_217_728UL;
public static readonly BigInteger Pow2Exact28 = 268_435_456UL;
public static readonly BigInteger Pow2Exact29 = 536_870_912UL;
public static readonly BigInteger Pow2Exact30 = 1_073_741_824UL;
public static readonly BigInteger Pow2Exact31 = 2_147_483_648UL;
public static readonly BigInteger Pow2Exact32 = 4_294_967_296UL;
public static readonly BigInteger Pow2Exact33 = 8_589_934_592UL;
public static readonly BigInteger Pow2Exact34 = 17_179_869_184UL;
public static readonly BigInteger Pow2Exact35 = 34_359_738_368UL;
public static readonly BigInteger Pow2Exact36 = 68_719_476_736UL;
public static readonly BigInteger Pow2Exact37 = 137_438_953_472UL;
public static readonly BigInteger Pow2Exact38 = 274_877_906_944UL;
public static readonly BigInteger Pow2Exact39 = 549_755_813_888UL;
public static readonly BigInteger Pow2Exact40 = 1_099_511_627_776UL;
public static readonly BigInteger Pow2Exact41 = 2_199_023_255_552UL;
public static readonly BigInteger Pow2Exact42 = 4_398_046_511_104UL;
public static readonly BigInteger Pow2Exact43 = 8_796_093_022_208UL;
public static readonly BigInteger Pow2Exact44 = 17_592_186_044_416UL;
public static readonly BigInteger Pow2Exact45 = 35_184_372_088_832UL;
public static readonly BigInteger Pow2Exact46 = 70_368_744_177_664UL;
public static readonly BigInteger Pow2Exact47 = 140_737_488_355_328UL;
public static readonly BigInteger Pow2Exact48 = 281_474_976_710_656UL;
public static readonly BigInteger Pow2Exact49 = 562_949_953_421_312UL;
public static readonly BigInteger Pow2Exact50 = 1_125_899_906_842_624UL;
public static readonly BigInteger Pow2Exact51 = 2_251_799_813_685_248UL;
public static readonly BigInteger Pow2Exact52 = 4_503_599_627_370_496UL;
public static readonly BigInteger Pow2Exact53 = 9_007_199_254_740_992UL;
public static readonly BigInteger Pow2Exact54 = 18_014_398_509_481_984UL;
public static readonly BigInteger Pow2Exact55 = 36_028_797_018_963_968UL;
public static readonly BigInteger Pow2Exact56 = 72_057_594_037_927_936UL;
public static readonly BigInteger Pow2Exact57 = 144_115_188_075_855_872UL;
public static readonly BigInteger Pow2Exact58 = 288_230_376_151_711_744UL;
public static readonly BigInteger Pow2Exact59 = 576_460_752_303_423_488UL;
public static readonly BigInteger Pow2Exact60 = 1_152_921_504_606_846_976UL;
public static readonly BigInteger Pow2Exact61 = 2_305_843_009_213_693_952UL;
public static readonly BigInteger Pow2Exact62 = 4_611_686_018_427_387_904UL;
public static readonly BigInteger Pow2Exact63 = 9_223_372_036_854_775_808UL;
public static readonly BigInteger Pow2MinusOne1 = 2UL - 1UL;
public static readonly BigInteger Pow2MinusOne2 = 4UL - 1UL;
public static readonly BigInteger Pow2MinusOne3 = 8UL - 1UL;
public static readonly BigInteger Pow2MinusOne4 = 16UL - 1UL;
public static readonly BigInteger Pow2MinusOne5 = 32UL - 1UL;
public static readonly BigInteger Pow2MinusOne6 = 64UL - 1UL;
public static readonly BigInteger Pow2MinusOne7 = 128UL - 1UL;
public static readonly BigInteger Pow2MinusOne8 = 256UL - 1UL;
public static readonly BigInteger Pow2MinusOne9 = 512UL - 1UL;
public static readonly BigInteger Pow2MinusOne10 = 1_024UL - 1UL;
public static readonly BigInteger Pow2MinusOne11 = 2_048UL - 1UL;
public static readonly BigInteger Pow2MinusOne12 = 4_096UL - 1UL;
public static readonly BigInteger Pow2MinusOne13 = 8_192UL - 1UL;
public static readonly BigInteger Pow2MinusOne14 = 16_384UL - 1UL;
public static readonly BigInteger Pow2MinusOne15 = 32_768UL - 1UL;
public static readonly BigInteger Pow2MinusOne16 = 65_536UL - 1UL;
public static readonly BigInteger Pow2MinusOne17 = 131_072UL - 1UL;
public static readonly BigInteger Pow2MinusOne18 = 262_144UL - 1UL;
public static readonly BigInteger Pow2MinusOne19 = 524_288UL - 1UL;
public static readonly BigInteger Pow2MinusOne20 = 1_048_576UL - 1UL;
public static readonly BigInteger Pow2MinusOne21 = 2_097_152UL - 1UL;
public static readonly BigInteger Pow2MinusOne22 = 4_194_304UL - 1UL;
public static readonly BigInteger Pow2MinusOne23 = 8_388_608UL - 1UL;
public static readonly BigInteger Pow2MinusOne24 = 16_777_216UL - 1UL;
public static readonly BigInteger Pow2MinusOne25 = 33_554_432UL - 1UL;
public static readonly BigInteger Pow2MinusOne26 = 67_108_864UL - 1UL;
public static readonly BigInteger Pow2MinusOne27 = 134_217_728UL - 1UL;
public static readonly BigInteger Pow2MinusOne28 = 268_435_456UL - 1UL;
public static readonly BigInteger Pow2MinusOne29 = 536_870_912UL - 1UL;
public static readonly BigInteger Pow2MinusOne30 = 1_073_741_824UL - 1UL;
public static readonly BigInteger Pow2MinusOne31 = 2_147_483_648UL - 1UL;
public static readonly BigInteger Pow2MinusOne32 = 4_294_967_296UL - 1UL;
public static readonly BigInteger Pow2MinusOne33 = 8_589_934_592UL - 1UL;
public static readonly BigInteger Pow2MinusOne34 = 17_179_869_184UL - 1UL;
public static readonly BigInteger Pow2MinusOne35 = 34_359_738_368UL - 1UL;
public static readonly BigInteger Pow2MinusOne36 = 68_719_476_736UL - 1UL;
public static readonly BigInteger Pow2MinusOne37 = 137_438_953_472UL - 1UL;
public static readonly BigInteger Pow2MinusOne38 = 274_877_906_944UL - 1UL;
public static readonly BigInteger Pow2MinusOne39 = 549_755_813_888UL - 1UL;
public static readonly BigInteger Pow2MinusOne40 = 1_099_511_627_776UL - 1UL;
public static readonly BigInteger Pow2MinusOne41 = 2_199_023_255_552UL - 1UL;
public static readonly BigInteger Pow2MinusOne42 = 4_398_046_511_104UL - 1UL;
public static readonly BigInteger Pow2MinusOne43 = 8_796_093_022_208UL - 1UL;
public static readonly BigInteger Pow2MinusOne44 = 17_592_186_044_416UL - 1UL;
public static readonly BigInteger Pow2MinusOne45 = 35_184_372_088_832UL - 1UL;
public static readonly BigInteger Pow2MinusOne46 = 70_368_744_177_664UL - 1UL;
public static readonly BigInteger Pow2MinusOne47 = 140_737_488_355_328UL - 1UL;
public static readonly BigInteger Pow2MinusOne48 = 281_474_976_710_656UL - 1UL;
public static readonly BigInteger Pow2MinusOne49 = 562_949_953_421_312UL - 1UL;
public static readonly BigInteger Pow2MinusOne50 = 1_125_899_906_842_624UL - 1UL;
public static readonly BigInteger Pow2MinusOne51 = 2_251_799_813_685_248UL - 1UL;
public static readonly BigInteger Pow2MinusOne52 = 4_503_599_627_370_496UL - 1UL;
public static readonly BigInteger Pow2MinusOne53 = 9_007_199_254_740_992UL - 1UL;
public static readonly BigInteger Pow2MinusOne54 = 18_014_398_509_481_984UL - 1UL;
public static readonly BigInteger Pow2MinusOne55 = 36_028_797_018_963_968UL - 1UL;
public static readonly BigInteger Pow2MinusOne56 = 72_057_594_037_927_936UL - 1UL;
public static readonly BigInteger Pow2MinusOne57 = 144_115_188_075_855_872UL - 1UL;
public static readonly BigInteger Pow2MinusOne58 = 288_230_376_151_711_744UL - 1UL;
public static readonly BigInteger Pow2MinusOne59 = 576_460_752_303_423_488UL - 1UL;
public static readonly BigInteger Pow2MinusOne60 = 1_152_921_504_606_846_976UL - 1UL;
public static readonly BigInteger Pow2MinusOne61 = 2_305_843_009_213_693_952UL - 1UL;
public static readonly BigInteger Pow2MinusOne62 = 4_611_686_018_427_387_904UL - 1UL;
public static readonly BigInteger Pow2MinusOne63 = 9_223_372_036_854_775_808UL - 1UL;
public static readonly BigInteger Pow2MinusOne1024 = (BigInteger.One << 1024) - BigInteger.One;
}
}
File diff suppressed because it is too large. Load diff
@@ -0,0 +1,977 @@
using System;
using System.Runtime.CompilerServices;
namespace PerfectNumbers.Core.ByDivisor;
public readonly struct ColumnBounds(int forcedOnes, int possibleOnes)
{
public readonly int ForcedOnes = forcedOnes;
public readonly int PossibleOnes = possibleOnes;
}
public readonly struct CarryRange(long min, long max)
{
public readonly long Min = min;
public readonly long Max = max;
public static CarryRange Single(long value) => new(value, value);
public static readonly CarryRange Zero = Single(0);
}
public enum ContradictionReason
{
None,
ParityUnreachable,
TruncatedLength,
TailNotZero,
}
/// <summary>
/// Helper utilities for the BitContradiction divisor search. These methods implement the
/// interval-based carry propagation described in the BitContradictions plan document.
/// The solver itself will build on top of these primitives.
/// </summary>
internal static class BitContradictionSolverWithQMultiplier
{
private const int PingPongBlockColumns = 64;
private const int TailCarryBatchColumns = 1024;
private const int TailCarryBatchRepeats = 1;
private const int TopDownCacheCapacity = 16;
#if DETAILED_LOG
public readonly struct TopDownPruneFailure(int column, long carryMin, long carryMax, int unknown)
{
public readonly int Column = column;
public readonly long CarryMin = carryMin;
public readonly long CarryMax = carryMax;
public readonly int Unknown = unknown;
}
private readonly struct TopDownCacheValue(bool success, TopDownPruneFailure? failure)
{
public readonly bool Success = success;
public readonly TopDownPruneFailure? Failure = failure;
}
internal readonly struct BottomUpFailure(int column, long carryMin, long carryMax, int forced, int unknown)
{
public readonly int Column = column;
public readonly long CarryMin = carryMin;
public readonly long CarryMax = carryMax;
public readonly int Forced = forced;
public readonly int Unknown = unknown;
}
[ThreadStatic]
private static TopDownPruneFailure? _lastTopDownFailure;
[ThreadStatic]
private static BottomUpFailure? _lastBottomUpFailure;
[ThreadStatic]
private static Dictionary<TopDownCacheKey, TopDownCacheValue>? _topDownCache;
internal static TopDownPruneFailure? LastTopDownFailure => _lastTopDownFailure;
internal static BottomUpFailure? LastBottomUpFailure => _lastBottomUpFailure;
#else
[ThreadStatic]
private static Dictionary<TopDownCacheKey, bool>? _topDownCache;
#endif
[ThreadStatic]
private static List<TopDownCacheKey>? _topDownCacheOrder;
private readonly struct TopDownCacheKey(long hash, int length, int maxAllowedA, int pLong)
{
public readonly long Hash = hash;
public readonly int Length = length;
public readonly int MaxAllowedA = maxAllowedA;
public readonly int PLong = pLong;
public bool Equals(TopDownCacheKey other) => Hash == other.Hash && Length == other.Length && MaxAllowedA == other.MaxAllowedA && PLong == other.PLong;
public override bool Equals(object? obj) => obj is TopDownCacheKey other && Equals(other);
public override int GetHashCode() => HashCode.Combine(Hash, Length, MaxAllowedA, PLong);
}
private static long ComputeQOffsetsHash(ReadOnlySpan<int> qOneOffsets)
{
const long fnvOffset = unchecked((long)1469598103934665603);
const long fnvPrime = 1099511628211;
long hash = fnvOffset;
for (int i = 0; i < qOneOffsets.Length; i++)
{
hash ^= qOneOffsets[i];
hash *= fnvPrime;
}
return hash;
}
#if DETAILED_LOG
private static bool TryGetTopDownCache(in TopDownCacheKey key, out TopDownCacheValue value)
#else
private static bool TryGetTopDownCache(in TopDownCacheKey key, out bool value)
#endif
{
var cache = _topDownCache;
if (cache == null)
{
cache = [];
_topDownCache = cache;
value = default;
return false;
}
return cache.TryGetValue(key, out value);
}
#if DETAILED_LOG
private static void StoreTopDownCache(in TopDownCacheKey key, in TopDownCacheValue value)
#else
private static void StoreTopDownCache(in TopDownCacheKey key, bool value)
#endif
{
// _topDownCache is always non-null here on EvenPerfectBitScanner execution path.
var topDownCache = _topDownCache!;
if (topDownCache.ContainsKey(key))
{
topDownCache[key] = value;
return;
}
List<TopDownCacheKey>? topDownCacheOrder = _topDownCacheOrder;
if (topDownCacheOrder == null)
{
topDownCacheOrder = new List<TopDownCacheKey>(TopDownCacheCapacity + 1);
_topDownCacheOrder = topDownCacheOrder;
}
else if (topDownCacheOrder.Count >= TopDownCacheCapacity)
{
var evict = topDownCacheOrder[0];
topDownCacheOrder.RemoveAt(0);
topDownCache.Remove(evict);
}
topDownCache[key] = value;
topDownCacheOrder.Add(key);
}
internal static ColumnBounds ComputeColumnBounds(
in ReadOnlySpan<bool> multiplicand,
in ReadOnlySpan<bool> multiplier,
int columnIndex)
{
int forced = 0;
int possible = 0;
int multiplicandLength = multiplicand.Length;
int multiplierLength = multiplier.Length;
for (int i = 0; i <= columnIndex; i++)
{
bool a = i < multiplicandLength && multiplicand[i];
bool q = columnIndex - i < multiplierLength && multiplier[columnIndex - i];
if (!a && !q)
{
continue;
}
if (a && q)
{
forced++;
}
possible++;
}
return new ColumnBounds(forced, possible);
}
#if DETAILED_LOG
internal static bool TryPropagateCarry(
CarryRange currentCarry,
long forcedOnes,
long possibleOnes,
int requiredResultBit,
out CarryRange nextCarry,
out ContradictionReason reason)
#else
internal static bool TryPropagateCarry(
CarryRange currentCarry,
int forcedOnes,
int possibleOnes,
int requiredResultBit,
out CarryRange nextCarry)
#endif
{
long minSum = currentCarry.Min + forcedOnes;
long maxSum = currentCarry.Max + possibleOnes;
int parity = requiredResultBit & 1;
minSum = AlignUpToParity(minSum, parity);
maxSum = AlignDownToParity(maxSum, parity);
if (minSum > maxSum)
{
nextCarry = default;
#if DETAILED_LOG
reason = ContradictionReason.ParityUnreachable;
#endif
return false;
}
nextCarry = new CarryRange((minSum - requiredResultBit) >> 1, (maxSum - requiredResultBit) >> 1);
#if DETAILED_LOG
reason = ContradictionReason.None;
#endif
return true;
}
/// <summary>
/// Full column-wise propagation for a given set of q one-bit offsets (LSB=0) and exponent p.
/// Returns true if the solver could decide locally (divides or contradiction).
/// </summary>
internal static bool TryCheckDivisibilityFromOneOffsets(
ReadOnlySpan<int> qOneOffsets,
ulong p,
out bool divides,
out ContradictionReason reason)
{
divides = false;
#if DETAILED_LOG
_lastTopDownFailure = null;
_lastBottomUpFailure = null;
#endif
// These conditions will never be true on EvenPerfectBitScanner execution path.
// if (p == 0 || qOneOffsets.Length == 0)
// {
// reason = ContradictionReason.ParityUnreachable;
// return true;
// }
// While the scanner supports p >= 31, it's a tiny subset of all checked exponents. No need to support it.
// Exact small-case evaluation to short-circuit both success and failure deterministically.
// int highestBit = qOneOffsets[^1];
// if (p <= 64 && highestBit < 63)
// {
// ulong q = 0;
// foreach (int bit in qOneOffsets)
// {
// q |= 1UL << bit;
// }
// ulong mersenne = (1UL << (int)p) - 1UL;
// divides = q != 0 && (mersenne % q == 0);
// reason = divides ? ContradictionReason.None : ContradictionReason.ParityUnreachable;
// return true;
// }
int qOneOffsetsLength = qOneOffsets.Length;
int maxOffset = qOneOffsets[qOneOffsetsLength - 1];
if ((ulong)(maxOffset + 1) >= p)
{
reason = ContradictionReason.TruncatedLength;
return true;
}
// q from EvenPerfectBitScanner will always have the correct 2kp+1 form.
// if (qOneOffsets[0] != 0)
// {
// reason = ContradictionReason.ParityUnreachable;
// return true;
// }
int windowSize = maxOffset + 1;
var segmentState0 = new sbyte[windowSize];
var segmentState1 = new sbyte[windowSize];
long segmentBase = 0;
int pLong = (int)p;
int maxAllowedA = pLong - (maxOffset + 1);
if (maxAllowedA < 0)
{
reason = ContradictionReason.TruncatedLength;
return true;
}
long qHash = ComputeQOffsetsHash(qOneOffsets);
var cacheKey = new TopDownCacheKey(qHash, qOneOffsetsLength, maxAllowedA, pLong);
if (TryGetTopDownCache(in cacheKey, out var cached))
{
#if DETAILED_LOG
_lastTopDownFailure = cached.Failure;
if (!cached.Success)
#else
if (!cached)
#endif
{
reason = ContradictionReason.ParityUnreachable;
#if DETAILED_LOG
Console.WriteLine($"[bit-contradiction] parity unreachable in top-down prune (failure={_lastTopDownFailure.HasValue})");
#endif
return true;
}
}
else
{
#if DETAILED_LOG
if (!TryTopDownCarryPrune(qOneOffsets, qOneOffsetsLength, pLong, maxAllowedA, out _lastTopDownFailure))
#else
if (!TryTopDownCarryPrune(qOneOffsets, qOneOffsetsLength, pLong, maxAllowedA))
#endif
{
#if DETAILED_LOG
StoreTopDownCache(in cacheKey, new TopDownCacheValue(false, _lastTopDownFailure));
Console.WriteLine($"[bit-contradiction] parity unreachable in top-down prune (failure={_lastTopDownFailure.HasValue})");
#else
StoreTopDownCache(in cacheKey, false);
#endif
reason = ContradictionReason.ParityUnreachable;
return true;
}
#if DETAILED_LOG
StoreTopDownCache(in cacheKey, new TopDownCacheValue(true, null));
#else
StoreTopDownCache(in cacheKey, true);
#endif
}
int lowColumn = 0;
int highColumn = pLong - 1;
CarryRange carryLow = CarryRange.Zero;
CarryRange carryHigh = CarryRange.Zero;
int bottomWindowStart = 0;
int bottomWindowEnd = 0;
int topWindowStart = qOneOffsetsLength;
int topWindowEnd = qOneOffsetsLength;
bool processTop = true;
while (lowColumn <= highColumn)
{
int remaining = (int)(highColumn - lowColumn + 1);
int blockSize = remaining < PingPongBlockColumns ? remaining : PingPongBlockColumns;
if (processTop)
{
#if DETAILED_LOG
if (!TryProcessTopDownBlock(qOneOffsets, qOneOffsetsLength, maxAllowedA, highColumn, blockSize, carryHigh, ref topWindowStart, ref topWindowEnd, out carryHigh, out _lastTopDownFailure))
#else
if (!TryProcessTopDownBlock(qOneOffsets, qOneOffsetsLength, maxAllowedA, highColumn, blockSize, carryHigh, ref topWindowStart, ref topWindowEnd, out carryHigh))
#endif
{
reason = ContradictionReason.ParityUnreachable;
return true;
}
highColumn -= blockSize;
}
else
{
if (!TryProcessBottomUpBlock(qOneOffsets, maxAllowedA, lowColumn, blockSize, ref carryLow, ref segmentBase, ref bottomWindowStart, ref bottomWindowEnd, segmentState0, segmentState1, out reason))
{
return true;
}
lowColumn += blockSize;
}
processTop = !processTop;
}
long carryMin = carryLow.Min > carryHigh.Min ? carryLow.Min : carryHigh.Min;
long carryMax = carryLow.Max < carryHigh.Max ? carryLow.Max : carryHigh.Max;
if (carryMin > carryMax)
{
#if DETAILED_LOG
Console.WriteLine($"[bit-contradiction] parity unreachable after ping-pong carry merge (low=[{carryLow.Min},{carryLow.Max}] high=[{carryHigh.Min},{carryHigh.Max}])");
#endif
reason = ContradictionReason.ParityUnreachable;
divides = false;
return true;
}
divides = true;
reason = ContradictionReason.None;
return true;
}
internal static bool TryCheckDivisibilityFromOneOffsets(
ReadOnlySpan<int> qOneOffsets,
ulong p,
out bool divides) => TryCheckDivisibilityFromOneOffsets(qOneOffsets, p, out divides, out _);
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
private static bool TryAdvanceZeroColumns(ref CarryRange carry, int columnCount)
{
long carryMin = carry.Min;
long carryMax = carry.Max;
while (columnCount > 0)
{
int step = columnCount > 30 ? 30 : columnCount;
int add = (1 << step) - 1;
long nextMin = (carryMin + add) >> step;
long nextMax = carryMax >> step;
if (nextMin > nextMax)
{
return false;
}
carryMin = nextMin;
carryMax = nextMax;
columnCount -= step;
}
carry = new CarryRange(carryMin, carryMax);
return true;
}
private static bool TryProcessBottomUpBlock(
ReadOnlySpan<int> qOneOffsets,
int maxAllowedA,
int startColumn,
int columnCount,
ref CarryRange carry,
ref long segmentBase,
ref int windowStartIdx,
ref int windowEndIdx,
sbyte[] segmentState0,
sbyte[] segmentState1,
out ContradictionReason reason)
{
long endColumn = startColumn + columnCount;
int qOneOffsetsLength = qOneOffsets.Length;
int windowSize = segmentState0.Length;
for (int column = startColumn; column < endColumn; column++)
{
int forced = 0;
int unknown = 0;
int chosenIndex = -1;
int newBase = (column / windowSize) * windowSize;
if (newBase != segmentBase)
{
if (newBase == segmentBase + windowSize)
{
(segmentState0, segmentState1) = (segmentState1, segmentState0);
Array.Clear(segmentState0);
}
else
{
Array.Clear(segmentState0);
Array.Clear(segmentState1);
}
segmentBase = newBase;
}
while (windowEndIdx < qOneOffsetsLength && qOneOffsets[windowEndIdx] <= column)
{
windowEndIdx++;
}
int lowerBound = column - maxAllowedA;
while (windowStartIdx < windowEndIdx && qOneOffsets[windowStartIdx] < lowerBound)
{
windowStartIdx++;
}
for (int offsetIndex = windowStartIdx; offsetIndex < windowEndIdx; offsetIndex++)
{
int offset = qOneOffsets[offsetIndex];
int aIndex = column - offset;
if (aIndex < 0)
{
break;
}
if (aIndex > maxAllowedA)
{
continue; // a must be zero here
}
if (aIndex >= segmentBase)
{
int slot = (int)(aIndex - segmentBase);
sbyte state = segmentState0[slot];
if (state == 1)
{
forced++;
}
else if (state == 0)
{
unknown++;
if (chosenIndex == -1L)
{
chosenIndex = aIndex;
}
}
}
else if (aIndex >= segmentBase - windowSize)
{
int slot = (int)(aIndex - (segmentBase - windowSize));
sbyte state = segmentState1[slot];
if (state == 1)
{
forced++;
}
else if (state == 0)
{
unknown++;
if (chosenIndex == -1L)
{
chosenIndex = aIndex;
}
}
}
else
{
unknown++;
if (chosenIndex == -1L)
{
chosenIndex = aIndex;
}
}
}
long minSum = carry.Min;
long maxSum = carry.Max;
if (unknown == 1 && ((minSum ^ maxSum) & 1) == 0)
{
int requiredUnknownParity = 1 ^ ((int)minSum & 1) ^ ((int)forced & 1);
if (requiredUnknownParity != 0)
{
if (chosenIndex >= 0)
{
if (chosenIndex >= segmentBase)
{
int slot = (int)(chosenIndex - segmentBase);
segmentState0[slot] = 1;
}
else
{
int slot = (int)(chosenIndex - (segmentBase - windowSize));
segmentState1[slot] = 1;
}
forced++;
unknown = 0;
}
}
else
{
unknown = 0;
}
}
if (unknown == 0)
{
int requiredCarryParity = 1 ^ ((int)forced & 1);
long carryMin = AlignUpToParity(carry.Min, requiredCarryParity);
long carryMax = AlignDownToParity(carry.Max, requiredCarryParity);
if (carryMin > carryMax)
{
#if DETAILED_LOG
_lastBottomUpFailure = new BottomUpFailure(column, carryMin, carryMax, forced, unknown);
#endif
reason = ContradictionReason.ParityUnreachable;
return false;
}
carry = new CarryRange(carryMin, carryMax);
minSum = carry.Min;
maxSum = carry.Max;
}
minSum += forced;
maxSum += forced + unknown;
const int requiredParity = 1;
if (minSum == maxSum)
{
if ((minSum & 1) != requiredParity)
{
#if DETAILED_LOG
_lastBottomUpFailure = new BottomUpFailure(column, carry.Min, carry.Max, forced, unknown);
#endif
reason = ContradictionReason.ParityUnreachable;
return false;
}
long nextCarry = (minSum - requiredParity) >> 1;
carry = CarryRange.Single(nextCarry);
}
else
{
if ((minSum & 1) != requiredParity && unknown == 0)
{
#if DETAILED_LOG
_lastBottomUpFailure = new BottomUpFailure(column, carry.Min, carry.Max, forced, unknown);
#endif
reason = ContradictionReason.ParityUnreachable;
return false;
}
#if DETAILED_LOG
if (!TryPropagateCarry(
carry,
forced,
forced + unknown,
requiredParity,
out var next,
out var propagateReason))
#else
if (!TryPropagateCarry(
carry,
forced,
forced + unknown,
requiredParity,
out var next))
#endif
{
#if DETAILED_LOG
_lastBottomUpFailure = new BottomUpFailure(column, carry.Min, carry.Max, forced, unknown);
reason = propagateReason;
#else
reason = ContradictionReason.ParityUnreachable;
#endif
return false;
}
carry = next;
}
}
reason = ContradictionReason.None;
return true;
}
#if DETAILED_LOG
private static bool TryProcessTopDownBlock(
ReadOnlySpan<int> qOneOffsets,
int qOneOffsetsLength,
int maxAllowedA,
int startHighColumn,
int columnCount,
CarryRange carryOut,
ref int windowStart,
ref int windowEnd,
out CarryRange nextCarryOut,
out TopDownPruneFailure? failure)
#else
private static bool TryProcessTopDownBlock(
ReadOnlySpan<int> qOneOffsets,
int qOneOffsetsLength,
int maxAllowedA,
int startHighColumn,
int columnCount,
CarryRange carryOut,
ref int windowStart,
ref int windowEnd,
out CarryRange nextCarryOut)
#endif
{
#if DETAILED_LOG
failure = null;
#endif
long carryOutMin = carryOut.Min,
carryOutMax = carryOut.Max;
int value;
int endColumn = startHighColumn - columnCount + 1;
int column = startHighColumn;
while (column >= endColumn)
{
// value is used as high column index
value = column;
while (windowEnd > 0 && qOneOffsets[windowEnd - 1] > value)
{
windowEnd--;
}
// value is used as low column index
value = column - maxAllowedA;
if (value < 0)
{
value = 0;
}
while (windowStart > 0 && qOneOffsets[windowStart - 1] >= value)
{
windowStart--;
}
if (windowStart > windowEnd)
{
windowStart = windowEnd;
}
// value is unknown bits count here
value = windowEnd - windowStart;
if (value == 0)
{
int lastEnd = windowEnd > 0 ? qOneOffsets[windowEnd - 1] : int.MinValue;
int lastStart = windowStart > 0 ? qOneOffsets[windowStart - 1] + maxAllowedA : int.MinValue;
int chunkEnd = lastEnd > lastStart ? lastEnd : lastStart;
if (chunkEnd < endColumn)
{
chunkEnd = endColumn;
}
int steps = (int)(column - chunkEnd + 1);
if (steps > 1)
{
if (!AdvanceTopDownUnknown0(ref carryOutMin, ref carryOutMax, steps))
{
#if DETAILED_LOG
failure = new TopDownPruneFailure(column, carryOutMin, carryOutMax, value);
#endif
nextCarryOut = default;
return false;
}
column = chunkEnd - 1;
continue;
}
}
else if (value == 1)
{
int lastEnd = windowEnd > 0 ? qOneOffsets[windowEnd - 1] : int.MinValue;
int lastStart = windowStart > 0 ? qOneOffsets[windowStart - 1] + maxAllowedA : int.MinValue;
int chunkEnd = lastEnd > lastStart ? lastEnd : lastStart;
if (chunkEnd < endColumn)
{
chunkEnd = endColumn;
}
int steps = (int)(column - chunkEnd + 1);
if (steps > 1)
{
if (!AdvanceTopDownUnknown1(ref carryOutMin, ref carryOutMax, steps))
{
#if DETAILED_LOG
failure = new TopDownPruneFailure(column, carryOutMin, carryOutMax, value);
#endif
nextCarryOut = default;
return false;
}
column = chunkEnd - 1;
continue;
}
}
// carryOutMin now becomes nextCarryMin to limit registry pressure
carryOutMin = (carryOutMin << 1) + 1 - value;
// carryOutMax now becomes nextCarryMax to limit registry pressure
carryOutMax = (carryOutMax << 1) + 1;
if (carryOutMin < 0)
{
carryOutMin = 0;
}
if (carryOutMax < 0)
{
carryOutMax = 0;
}
if (carryOutMin > carryOutMax)
{
#if DETAILED_LOG
failure = new TopDownPruneFailure(column, carryOutMin, carryOutMax, value);
#endif
nextCarryOut = default;
return false;
}
column--;
}
nextCarryOut = new CarryRange(carryOutMin, carryOutMax);
return true;
}
private static long AlignUpToParity(long value, int parity) => (value & 1L) == parity ? value : value + 1L;
private static long AlignDownToParity(long value, int parity) => (value & 1L) == parity ? value : value - 1L;
#if DETAILED_LOG
private static bool TryTopDownCarryPrune(
ReadOnlySpan<int> qOneOffsets,
int qOneOffsetsLength,
int pLong,
int maxAllowedA,
out TopDownPruneFailure? failure)
#else
private static bool TryTopDownCarryPrune(
ReadOnlySpan<int> qOneOffsets,
int qOneOffsetsLength,
int pLong,
int maxAllowedA)
#endif
{
#if DETAILED_LOG
failure = null;
#endif
long carryOutMin = 0,
carryOutMax = 0;
int value;
int windowStart = qOneOffsetsLength;
int windowEnd = qOneOffsetsLength;
int column = pLong - 1;
while (column >= 0)
{
// value is used as high column index
value = column;
while (windowEnd > 0 && qOneOffsets[windowEnd - 1] > value)
{
windowEnd--;
}
// value is used as low column index
value = column - maxAllowedA;
if (value < 0)
{
value = 0;
}
while (windowStart > 0 && qOneOffsets[windowStart - 1] >= value)
{
windowStart--;
}
if (windowStart > windowEnd)
{
windowStart = windowEnd;
}
// value is used as unknown bits count here
value = windowEnd - windowStart;
if (value == 0)
{
int lastEnd = windowEnd > 0 ? qOneOffsets[windowEnd - 1] : int.MinValue;
int lastStart = windowStart > 0 ? qOneOffsets[windowStart - 1] + maxAllowedA : int.MinValue;
int chunkEnd = lastEnd > lastStart ? lastEnd : lastStart;
if (chunkEnd < 0)
{
chunkEnd = 0;
}
int steps = (int)(column - chunkEnd + 1);
if (steps > 1)
{
if (!AdvanceTopDownUnknown0(ref carryOutMin, ref carryOutMax, steps))
{
#if DETAILED_LOG
failure = new TopDownPruneFailure(column, carryOutMin, carryOutMax, value);
#endif
return false;
}
column = chunkEnd - 1;
continue;
}
}
else if (value == 1)
{
int lastEnd = windowEnd > 0 ? qOneOffsets[windowEnd - 1] : int.MinValue;
int lastStart = windowStart > 0 ? qOneOffsets[windowStart - 1] + maxAllowedA : int.MinValue;
int chunkEnd = lastEnd > lastStart ? lastEnd : lastStart;
if (chunkEnd < 0)
{
chunkEnd = 0;
}
int steps = (int)(column - chunkEnd + 1);
if (steps > 1)
{
if (!AdvanceTopDownUnknown1(ref carryOutMin, ref carryOutMax, steps))
{
#if DETAILED_LOG
failure = new TopDownPruneFailure(column, carryOutMin, carryOutMax, value);
#endif
return false;
}
column = chunkEnd - 1;
continue;
}
}
// carryOutMin now becomes nextCarryMin to limit registry pressure
carryOutMin = (carryOutMin << 1) + 1 - value;
// carryOutMax now becomes nextCarryMax to limit registry pressure
carryOutMax = (carryOutMax << 1) + 1;
if (carryOutMin < 0)
{
carryOutMin = 0;
}
if (carryOutMax < 0)
{
carryOutMax = 0;
}
if (carryOutMin > carryOutMax)
{
#if DETAILED_LOG
failure = new TopDownPruneFailure(column, carryOutMin, carryOutMax, value);
#endif
return false;
}
column--;
}
if (carryOutMin > 0)
{
#if DETAILED_LOG
failure = new TopDownPruneFailure(0, carryOutMin, carryOutMax, 0);
#endif
return false;
}
return true;
}
private static bool AdvanceTopDownUnknown1(ref long carryOutMin, ref long carryOutMax, int steps)
{
while (steps > 0)
{
int step = steps > 30 ? 30 : steps;
int pow = 1 << step;
if (carryOutMin > (long.MaxValue >> step) || carryOutMax > ((long.MaxValue - (pow - 1)) >> step))
{
carryOutMin = 0;
carryOutMax = int.MaxValue;
return true;
}
carryOutMin <<= step;
carryOutMax = (carryOutMax << step) + (pow - 1);
steps -= step;
}
return true;
}
private static bool AdvanceTopDownUnknown0(ref long carryOutMin, ref long carryOutMax, int steps)
{
while (steps > 0)
{
int step = steps > 30 ? 30 : steps;
int add = (1 << step) - 1;
if (carryOutMin > ((int.MaxValue - add) >> step) || carryOutMax > ((int.MaxValue - add) >> step))
{
carryOutMin = 0;
carryOutMax = int.MaxValue;
return true;
}
carryOutMin = (carryOutMin << step) + add;
carryOutMax = (carryOutMax << step) + add;
steps -= step;
}
return true;
}
}
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