Merge pull request #94 from mlemanczyk/codex/check-current-benchmarks-for-montgomery-method
Document cycle computation benchmark results
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using System;
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using BenchmarkDotNet.Attributes;
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using BenchmarkDotNet.Jobs;
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using PerfectNumbers.Core;
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namespace EvenPerfectBitScanner.Benchmarks;
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/// <remarks>
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/// Benchmark results collected on Intel Xeon Platinum 8370C (Ubuntu 24.04, .NET 8.0, launchCount: 1, warmupCount: 1,
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/// iterationCount: 5):
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/// Small sample (~1e6 exponents and random odd moduli)
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/// - MontgomeryWithoutCycle: 43.17 µs (baseline)
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/// - MontgomeryWithPrecomputedCycle: 29.88 µs (0.69× baseline)
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/// - MontgomeryWithGpuCycleComputation: 75.09 ms (1740× baseline, includes GPU cycle calculation)
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/// Large sample (Mersenne-like moduli from 2^48-1 to 2^63-1)
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/// - MontgomeryWithoutCycle: 145.32 µs (baseline)
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/// - MontgomeryWithPrecomputedCycle: 10.93 µs (0.08× baseline)
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/// - MontgomeryWithGpuCycleComputation: 16.55 µs (0.11× baseline, includes GPU cycle calculation)
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/// </remarks>
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[MemoryDiagnoser]
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[SimpleJob(RuntimeMoniker.Net80, launchCount: 1, warmupCount: 1, iterationCount: 5)]
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public class Pow2MontgomeryModCycleComputationBenchmarks
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{
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private const int SampleCount = 256;
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private readonly MontgomeryDivisorData[] _smallDivisors = new MontgomeryDivisorData[SampleCount];
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private readonly MontgomeryDivisorData[] _largeDivisors = new MontgomeryDivisorData[SampleCount];
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private readonly ulong[] _smallExponents = new ulong[SampleCount];
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private readonly ulong[] _largeExponents = new ulong[SampleCount];
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private readonly ulong[] _smallCycles = new ulong[SampleCount];
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private readonly ulong[] _largeCycles = new ulong[SampleCount];
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private readonly Random _random = new(113);
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public enum InputScale
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{
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Small,
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Large
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}
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[ParamsAllValues]
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public InputScale Scale { get; set; }
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[GlobalSetup]
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public void Setup()
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{
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for (int i = 0; i < SampleCount; i++)
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{
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ulong smallModulus = NextSmallOddModulus();
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_smallDivisors[i] = CreateMontgomeryDivisorData(smallModulus);
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_smallExponents[i] = NextSmallExponent();
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_smallCycles[i] = MersenneDivisorCycles.CalculateCycleLength(smallModulus);
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(ulong largeModulus, ulong largeCycle) = NextLargeModulusAndCycle();
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_largeDivisors[i] = CreateMontgomeryDivisorData(largeModulus);
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_largeExponents[i] = NextLargeExponent();
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_largeCycles[i] = largeCycle;
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}
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}
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/// <summary>
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/// Baseline Montgomery reduction without precomputed cycle data.
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/// </summary>
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[Benchmark(Baseline = true)]
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public ulong MontgomeryWithoutCycle()
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{
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GetData(out ulong[] exponents, out MontgomeryDivisorData[] divisors, out _);
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ulong checksum = 0UL;
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for (int i = 0; i < SampleCount; i++)
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{
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checksum ^= exponents[i].Pow2MontgomeryMod(divisors[i]);
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}
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return checksum;
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}
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/// <summary>
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/// Montgomery reduction with a known cycle length, excluding the cost of calculating the cycle.
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/// </summary>
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[Benchmark]
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public ulong MontgomeryWithPrecomputedCycle()
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{
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GetData(out ulong[] exponents, out MontgomeryDivisorData[] divisors, out ulong[] cycles);
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ulong checksum = 0UL;
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for (int i = 0; i < SampleCount; i++)
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{
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checksum ^= exponents[i].Pow2MontgomeryModWithCycle(cycles[i], divisors[i]);
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}
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return checksum;
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}
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/// <summary>
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/// Montgomery reduction with a cycle length computed on the fly using the GPU-friendly calculator.
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/// </summary>
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[Benchmark]
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public ulong MontgomeryWithGpuCycleComputation()
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{
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GetData(out ulong[] exponents, out MontgomeryDivisorData[] divisors, out _);
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ulong checksum = 0UL;
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for (int i = 0; i < SampleCount; i++)
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{
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ulong cycle = MersenneDivisorCycles.CalculateCycleLengthGpu(divisors[i].Modulus);
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checksum ^= exponents[i].Pow2MontgomeryModWithCycle(cycle, divisors[i]);
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}
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return checksum;
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}
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private void GetData(out ulong[] exponents, out MontgomeryDivisorData[] divisors, out ulong[] cycles)
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{
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if (Scale == InputScale.Small)
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{
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exponents = _smallExponents;
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divisors = _smallDivisors;
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cycles = _smallCycles;
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}
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else
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{
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exponents = _largeExponents;
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divisors = _largeDivisors;
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cycles = _largeCycles;
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}
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}
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private ulong NextSmallExponent() => (ulong)_random.NextInt64(1L, 1_000_000L);
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private ulong NextLargeExponent() => (ulong)_random.NextInt64(1L << 60, long.MaxValue);
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private ulong NextSmallOddModulus()
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{
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ulong value = (ulong)_random.NextInt64(3L, 1_000_000L);
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return value | 1UL;
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}
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private (ulong modulus, ulong cycleLength) NextLargeModulusAndCycle()
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{
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int bitLength = _random.Next(48, 64);
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ulong modulus = (1UL << bitLength) - 1UL;
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return (modulus, (ulong)bitLength);
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}
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private static MontgomeryDivisorData CreateMontgomeryDivisorData(ulong modulus)
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{
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if (modulus <= 1UL || (modulus & 1UL) == 0UL)
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{
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return new MontgomeryDivisorData(modulus, 0UL, 0UL, 0UL);
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}
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return new MontgomeryDivisorData(
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modulus,
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ComputeMontgomeryNPrime(modulus),
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ComputeMontgomeryResidue(1UL, modulus),
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ComputeMontgomeryResidue(2UL, modulus));
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}
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private static ulong ComputeMontgomeryResidue(ulong value, ulong modulus) => (ulong)((UInt128)value * (UInt128.One << 64) % modulus);
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private static ulong ComputeMontgomeryNPrime(ulong modulus)
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{
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ulong inv = modulus;
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inv *= unchecked(2UL - modulus * inv);
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inv *= unchecked(2UL - modulus * inv);
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inv *= unchecked(2UL - modulus * inv);
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inv *= unchecked(2UL - modulus * inv);
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inv *= unchecked(2UL - modulus * inv);
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inv *= unchecked(2UL - modulus * inv);
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return unchecked(0UL - inv);
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}
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}
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