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Author SHA1 Message Date
mlemanczyk fc22c01ec8 Various improvements to make sure scratch buffers don't override each others memory 2025-11-03 23:49:55 +01:00
Marek Lemańczyk dcda4b5cba Merge branch 'codex/optimize-evenperfectbitscanner-for-static-arrays' from github 2025-11-03 18:39:00 +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
25 changed files with 971 additions and 835 deletions

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@@ -1,6 +1,3 @@
using System;
using System.Collections.Generic;
using System.Threading;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
using Open.Numeric.Primes;
@@ -12,7 +9,6 @@ namespace EvenPerfectBitScanner.Benchmarks;
[MemoryDiagnoser]
public class PrimeTesterBenchmarks
{
private static readonly HeuristicCombinedPrimeTester _heuristicCombinedTester = new();
private static readonly HeuristicPrimeTester _heuristicTester = new();
private ulong[] _candidates = [];
@@ -34,7 +30,7 @@ public class PrimeTesterBenchmarks
_ = Prime.Numbers.IsPrime(_candidates[0]);
}
[Benchmark(Baseline = true)]
[Benchmark]
public int HeuristicCpu()
{
HeuristicPrimeTester tester = _heuristicTester;
@@ -104,18 +100,15 @@ public class PrimeTesterBenchmarks
return primeCount;
}
private static readonly PrimeTester _nonHeuristicTester = new();
[Benchmark]
public int NonHeuristicGpu()
{
PrimeTester tester = _nonHeuristicTester;
ulong[] values = _candidates;
int primeCount = 0;
for (int i = 0; i < values.Length; i++)
{
if (tester.IsPrimeGpu(values[i]))
if (PrimeTester.IsPrimeGpu(values[i]))
{
primeCount++;
}
@@ -124,7 +117,7 @@ public class PrimeTesterBenchmarks
return primeCount;
}
[Benchmark]
[Benchmark(Baseline = true)]
public int NonHeuristicCpu()
{
ulong[] values = _candidates;
+6 -8
View File
@@ -12,7 +12,7 @@ namespace EvenPerfectBitScanner;
internal static class Program
{
private static ThreadLocal<PrimeTester> PrimeTesters = null!;
// private static ThreadLocal<PrimeTester> PrimeTesters = null!;
private static ThreadLocal<MersenneNumberTester> MersenneTesters = null!;
private const ulong InitialP = PerfectNumberConstants.BiggestKnownEvenPerfectP;
private static MersenneNumberDivisorGpuTester? _divisorTester;
@@ -58,14 +58,15 @@ internal static class Program
bool startPrimeProvided = _cliArguments.StartPrimeProvided;
int threadCount = Math.Max(1, _cliArguments.ThreadCount);
int gpuPrimeBatch = Math.Max(1, _cliArguments.GpuPrimeBatch);
int gpuPrimeThreads = Math.Max(1, _cliArguments.GpuPrimeThreads);
UnboundedTaskScheduler.ConfigureThreadCount(threadCount);
PrimeTester.GpuBatchSize = gpuPrimeBatch;
GpuPrimeWorkLimiter.SetLimit(gpuPrimeThreads);
GpuContextPool.WarmUpPool(threadCount);
PrimeTester.WarmUpGpuKernels(threadCount);
PrimeTester.WarmUpGpuKernels(gpuPrimeThreads);
Console.WriteLine("Starting up threads...");
_ = UnboundedTaskScheduler.Instance;
int blockSize = Math.Max(1, _cliArguments.BlockSize);
int gpuPrimeThreads = Math.Max(1, _cliArguments.GpuPrimeThreads);
GpuKernelType kernelType = _cliArguments.KernelType;
bool useBitTransform = _cliArguments.UseBitTransform;
bool useOrder = _cliArguments.UseOrder;
@@ -117,9 +118,6 @@ internal static class Program
return;
}
// Apply GPU prime sieve runtime configuration
GpuPrimeWorkLimiter.SetLimit(gpuPrimeThreads);
PrimeTester.GpuBatchSize = gpuPrimeBatch;
MersenneDivisorCycles mersenneDivisorCycles = new();
if (!File.Exists(cyclesPath) || continueCyclesGeneration)
@@ -178,7 +176,7 @@ internal static class Program
blockSize = useByDivisor ? 1 : blockSize;
CandidatesCalculator.Initialize(currentP);
PrimeTesters = new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true);
// PrimeTesters = new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true);
// Note: --primes-device controls default device for library kernels; p primality remains CPU here.
// Initialize per-thread p residue tracker (Identity model) at currentP
if (!useDivisor && !_cliArguments.UseByDivisor)
@@ -628,7 +626,7 @@ internal static class Program
{
if (!(_runPrimesOnCpu
? PrimeTester.IsPrime(p)
: PrimeTesters.Value!.IsPrimeGpu(p)))
: PrimeTester.IsPrimeGpu(p)))
{
_lastCompositeP = true;
return false;
@@ -18,19 +18,19 @@ public class GpuPrimeLimiterTests
var startedSecond = new TaskCompletionSource<bool>();
var sw = new Stopwatch();
var first = GpuPrimeWorkLimiter.Acquire();
GpuPrimeWorkLimiter.Acquire();
sw.Start();
var secondTask = Task.Run(() =>
{
var second = GpuPrimeWorkLimiter.Acquire();
GpuPrimeWorkLimiter.Acquire();
try
{
startedSecond.TrySetResult(true);
}
finally
{
second.Dispose();
GpuPrimeWorkLimiter.Release();
}
});
@@ -43,7 +43,7 @@ public class GpuPrimeLimiterTests
finally
{
// Release first after the initial wait so the second task can proceed.
first.Dispose();
GpuPrimeWorkLimiter.Release();
}
await secondTask.WaitAsync(TimeSpan.FromSeconds(1));
@@ -16,7 +16,7 @@ public class PrimeTesterGpuTests
ulong[] primes = [31UL, 61UL, 89UL, 107UL, 127UL, 521UL];
foreach (ulong prime in primes)
{
tester.IsPrimeGpu(prime).Should().BeTrue();
PrimeTester.IsPrimeGpu(prime).Should().BeTrue();
}
}
finally
@@ -34,7 +34,7 @@ public class PrimeTesterGpuTests
ulong[] composites = [33UL, 39UL, 51UL, 77UL, 91UL];
foreach (ulong composite in composites)
{
tester.IsPrimeGpu(composite).Should().BeFalse();
PrimeTester.IsPrimeGpu(composite).Should().BeFalse();
}
}
finally
@@ -39,7 +39,7 @@ public class PrimeTesterIsPrimeTests
{
var tester = new PrimeTester();
tester.IsPrimeGpu(n).Should().Be(expected);
PrimeTester.IsPrimeGpu(n).Should().Be(expected);
}
[Fact]
@@ -64,7 +64,7 @@ public class PrimeTesterIsPrimeTests
var testers = new ThreadLocal<PrimeTester>(() => new PrimeTester(), trackAllValues: true);
Parallel.For(0, primes.Length, i =>
{
results[i] = testers.Value!.IsPrimeGpu(primes[i]);
results[i] = PrimeTester.IsPrimeGpu(primes[i]);
});
results.Should().AllBeEquivalentTo(true);
@@ -73,7 +73,7 @@ public class PrimeTesterIsPrimeTests
{
foreach (ulong prime in primes)
{
testers.Value!.IsPrimeGpu(prime).Should().BeTrue();
PrimeTester.IsPrimeGpu(prime).Should().BeTrue();
}
});
}
@@ -1,142 +0,0 @@
using System;
using System.Collections.Concurrent;
using System.Runtime.CompilerServices;
using ILGPU;
using ILGPU.Runtime;
namespace PerfectNumbers.Core.Gpu;
internal static class DivisorGeneratorGpuCache
{
private sealed class AcceleratorReferenceComparer : IEqualityComparer<Accelerator>
{
public static AcceleratorReferenceComparer Instance { get; } = new();
public bool Equals(Accelerator? x, Accelerator? y)
{
return ReferenceEquals(x, y);
}
public int GetHashCode(Accelerator obj)
{
return RuntimeHelpers.GetHashCode(obj);
}
}
private sealed class DivisorGeneratorGpuTables : IDisposable
{
internal DivisorGeneratorGpuTables(Accelerator accelerator)
{
SmallPrimes = AllocateAndCopyUInt(accelerator, DivisorGenerator.SmallPrimes);
SmallPrimesPow2 = AllocateAndCopyULong(accelerator, DivisorGenerator.SmallPrimesPow2);
SmallPrimesLastOne = AllocateAndCopyUInt(accelerator, DivisorGenerator.SmallPrimesLastOne);
SmallPrimesPow2LastOne = AllocateAndCopyULong(accelerator, DivisorGenerator.SmallPrimesPow2LastOne);
SmallPrimesLastSeven = AllocateAndCopyUInt(accelerator, DivisorGenerator.SmallPrimesLastSeven);
SmallPrimesPow2LastSeven = AllocateAndCopyULong(accelerator, DivisorGenerator.SmallPrimesPow2LastSeven);
SmallPrimesLastThree = AllocateAndCopyUInt(accelerator, DivisorGenerator.SmallPrimesLastThree);
SmallPrimesPow2LastThree = AllocateAndCopyULong(accelerator, DivisorGenerator.SmallPrimesPow2LastThree);
SmallPrimesLastNine = AllocateAndCopyUInt(accelerator, DivisorGenerator.SmallPrimesLastNine);
SmallPrimesPow2LastNine = AllocateAndCopyULong(accelerator, DivisorGenerator.SmallPrimesPow2LastNine);
SmallPrimesLastOneWithoutLastThree = AllocateAndCopyUInt(accelerator, DivisorGenerator.SmallPrimesLastOneWithoutLastThree);
SmallPrimesPow2LastOneWithoutLastThree = AllocateAndCopyULong(accelerator, DivisorGenerator.SmallPrimesPow2LastOneWithoutLastThree);
SmallPrimesLastSevenWithoutLastThree = AllocateAndCopyUInt(accelerator, DivisorGenerator.SmallPrimesLastSevenWithoutLastThree);
SmallPrimesPow2LastSevenWithoutLastThree = AllocateAndCopyULong(accelerator, DivisorGenerator.SmallPrimesPow2LastSevenWithoutLastThree);
SmallPrimesLastNineWithoutLastThree = AllocateAndCopyUInt(accelerator, DivisorGenerator.SmallPrimesLastNineWithoutLastThree);
SmallPrimesPow2LastNineWithoutLastThree = AllocateAndCopyULong(accelerator, DivisorGenerator.SmallPrimesPow2LastNineWithoutLastThree);
}
internal MemoryBuffer1D<uint, Stride1D.Dense> SmallPrimes { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> SmallPrimesPow2 { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> SmallPrimesLastOne { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> SmallPrimesPow2LastOne { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> SmallPrimesLastSeven { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> SmallPrimesPow2LastSeven { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> SmallPrimesLastThree { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> SmallPrimesPow2LastThree { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> SmallPrimesLastNine { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> SmallPrimesPow2LastNine { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> SmallPrimesLastOneWithoutLastThree { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> SmallPrimesPow2LastOneWithoutLastThree { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> SmallPrimesLastSevenWithoutLastThree { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> SmallPrimesPow2LastSevenWithoutLastThree { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> SmallPrimesLastNineWithoutLastThree { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> SmallPrimesPow2LastNineWithoutLastThree { get; }
public void Dispose()
{
SmallPrimes.Dispose();
SmallPrimesPow2.Dispose();
SmallPrimesLastOne.Dispose();
SmallPrimesPow2LastOne.Dispose();
SmallPrimesLastSeven.Dispose();
SmallPrimesPow2LastSeven.Dispose();
SmallPrimesLastThree.Dispose();
SmallPrimesPow2LastThree.Dispose();
SmallPrimesLastNine.Dispose();
SmallPrimesPow2LastNine.Dispose();
SmallPrimesLastOneWithoutLastThree.Dispose();
SmallPrimesPow2LastOneWithoutLastThree.Dispose();
SmallPrimesLastSevenWithoutLastThree.Dispose();
SmallPrimesPow2LastSevenWithoutLastThree.Dispose();
SmallPrimesLastNineWithoutLastThree.Dispose();
SmallPrimesPow2LastNineWithoutLastThree.Dispose();
}
private static MemoryBuffer1D<uint, Stride1D.Dense> AllocateAndCopyUInt(Accelerator accelerator, uint[] source)
{
var buffer = accelerator.Allocate1D<uint>(source.Length);
if (source.Length > 0)
{
buffer.View.CopyFromCPU(source);
}
return buffer;
}
private static MemoryBuffer1D<ulong, Stride1D.Dense> AllocateAndCopyULong(Accelerator accelerator, ulong[] source)
{
var buffer = accelerator.Allocate1D<ulong>(source.Length);
if (source.Length > 0)
{
buffer.View.CopyFromCPU(source);
}
return buffer;
}
}
private static readonly ConcurrentDictionary<Accelerator, DivisorGeneratorGpuTables> Cache = new(AcceleratorReferenceComparer.Instance);
public static void WarmUpByDivisorTables(Accelerator accelerator)
{
if (accelerator is null || accelerator.AcceleratorType == AcceleratorType.CPU)
{
return;
}
Cache.GetOrAdd(accelerator, acc => new DivisorGeneratorGpuTables(acc));
}
public static void Clear(Accelerator accelerator)
{
if (accelerator is null)
{
return;
}
if (Cache.TryRemove(accelerator, out var tables))
{
tables.Dispose();
}
}
public static void DisposeAll()
{
foreach (var entry in Cache)
{
entry.Value.Dispose();
}
Cache.Clear();
}
}
+34 -24
View File
@@ -1,4 +1,3 @@
using System;
using System.Collections.Concurrent;
using ILGPU;
using ILGPU.Runtime;
@@ -12,14 +11,15 @@ public static class GpuContextPool
// Default device preference for generic GPU kernels (prime scans, NTT, etc.)
internal sealed class PooledContext
{
public Context Context { get; }
public Accelerator Accelerator { get; }
public readonly Context Context;
public readonly Accelerator Accelerator;
public PooledContext()
public PooledContext(KernelContainer kernels)
{
Context = Context.CreateDefault();
Accelerator = Context.GetPreferredDevice(false).CreateAccelerator(Context);
DivisorGeneratorGpuCache.WarmUpByDivisorTables(Accelerator);
Context = SharedGpuContext.Context;
Accelerator = SharedGpuContext.Accelerator;
GpuStaticTableInitializer.EnsureStaticTables(kernels, Accelerator);
kernels.Dispose();
// NOTE: Avoid loading/compiling any kernel here to prevent implicit
// CL stream/queue creation during accelerator construction.
// Some OpenCL drivers are fragile when a queue is created immediately
@@ -33,11 +33,11 @@ public static class GpuContextPool
// Release PrimeTester GPU state for this accelerator (kernel/device primes)
// Clear any per-accelerator cached resources to avoid releasing
// after the accelerator is destroyed.
DivisorGeneratorGpuCache.Clear(Accelerator);
PrimeTester.ClearGpuCaches(Accelerator);
Accelerator.Dispose();
Context.Dispose();
// These resources are shared between GPU leases
// Accelerator.Dispose();
// Context.Dispose();
}
}
@@ -53,9 +53,10 @@ public static class GpuContextPool
}
// Create a new accelerator when the pool does not have one available.
return new GpuContextLease(new PooledContext());
return new GpuContextLease(new PooledContext(GpuKernelPool.GetKernels()));
}
public static void WarmUpPool(int threadCount)
{
if (threadCount <= WarmedGpuContextCount)
@@ -64,15 +65,16 @@ public static class GpuContextPool
}
int toCreate = threadCount - WarmedGpuContextCount;
Console.WriteLine($"Warming up GPU context pool to {toCreate} contexts...");
var contexts = new PooledContext[toCreate];
var pool = GpuPool;
PooledContext context;
for (int i = 0; i < toCreate; i++)
{
contexts[i] = new PooledContext();
}
for (int i = 0; i < toCreate; i++)
{
GpuPool.Enqueue(contexts[i]);
KernelContainer kernels = GpuKernelPool.GetKernels();
context = new PooledContext(kernels);
contexts[i] = context;
pool.Enqueue(context);
}
WarmedGpuContextCount = threadCount;
@@ -85,7 +87,6 @@ public static class GpuContextPool
gpu.Dispose();
}
DivisorGeneratorGpuCache.DisposeAll();
PrimeTester.DisposeGpuContexts();
WarmedGpuContextCount = 0;
}
@@ -96,21 +97,30 @@ public static class GpuContextPool
GpuPool.Enqueue(ctx);
}
public readonly struct GpuContextLease
public struct GpuContextLease
{
private readonly PooledContext _ctx;
private PooledContext? _ctx;
private bool _disposed;
internal GpuContextLease(PooledContext ctx)
{
_ctx = ctx;
_disposed = false;
}
public readonly Context Context => _ctx.Context;
public readonly Accelerator Accelerator => _ctx.Accelerator;
public Context Context => _ctx!.Context;
public Accelerator Accelerator => _ctx!.Accelerator;
public readonly void Dispose()
public void Dispose()
{
Return(_ctx);
if (_disposed)
{
return;
}
_disposed = true;
Return(_ctx!);
_ctx = null;
}
}
}
+31 -19
View File
@@ -2,6 +2,7 @@ using System;
using System.Collections.Concurrent;
using ILGPU;
using ILGPU.Runtime;
using PerfectNumbers.Core;
using static PerfectNumbers.Core.Gpu.GpuContextPool;
namespace PerfectNumbers.Core.Gpu;
@@ -10,25 +11,24 @@ public sealed class GpuKernelLease
{
private static readonly ConcurrentQueue<GpuKernelLease> Pool = new();
private Action? _releaseLimiter;
private GpuContextLease? _gpu;
private KernelContainer? _kernels;
public KernelContainer Kernels;
private AcceleratorStream? _stream;
private GpuKernelLease()
{
}
private GpuKernelLease(KernelContainer kernels)
{
Kernels = kernels;
}
internal static GpuKernelLease Rent(GpuPrimeWorkLimiter.Lease limiter, GpuContextLease gpu, KernelContainer kernels)
internal static GpuKernelLease Rent(GpuContextLease gpu, KernelContainer kernels)
{
if (!Pool.TryDequeue(out var lease))
{
lease = new GpuKernelLease();
lease = new GpuKernelLease(kernels);
}
lease._releaseLimiter = limiter.Dispose;
lease._gpu = gpu;
lease._kernels = kernels;
lease.Kernels = kernels;
lease._stream = null;
return lease;
}
@@ -56,7 +56,7 @@ public sealed class GpuKernelLease
get
{
var accel = Accelerator; // avoid capturing 'this' in lambda
return KernelContainer.InitOnce(ref _kernels!.Order, () =>
return KernelContainer.InitOnce(ref Kernels!.Order, () =>
{
var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, ulong, ArrayView<GpuUInt128>, ArrayView<ulong>>(OrderKernels.OrderKernelScan);
var kernel = KernelUtil.GetKernel(loaded);
@@ -70,7 +70,7 @@ public sealed class GpuKernelLease
get
{
var accel = Accelerator;
return KernelContainer.InitOnce(ref _kernels!.Pow2Mod, () =>
return KernelContainer.InitOnce(ref Kernels!.Pow2Mod, () =>
{
var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>(Pow2ModKernels.Pow2ModKernelScan);
var kernel = KernelUtil.GetKernel(loaded);
@@ -84,7 +84,7 @@ public sealed class GpuKernelLease
get
{
var accel = Accelerator;
return KernelContainer.InitOnce(ref _kernels!.Incremental, () =>
return KernelContainer.InitOnce(ref Kernels!.Incremental, () =>
{
var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ulong, ulong, ulong, ulong, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>>(IncrementalKernels.IncrementalKernelScan);
var kernel = KernelUtil.GetKernel(loaded);
@@ -98,7 +98,7 @@ public sealed class GpuKernelLease
get
{
var accel = Accelerator;
return KernelContainer.InitOnce(ref _kernels!.IncrementalOrder, () =>
return KernelContainer.InitOnce(ref Kernels!.IncrementalOrder, () =>
{
var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>(IncrementalKernels.IncrementalOrderKernelScan);
var kernel = KernelUtil.GetKernel(loaded);
@@ -112,7 +112,7 @@ public sealed class GpuKernelLease
get
{
var accel = Accelerator;
return KernelContainer.InitOnce(ref _kernels!.Pow2ModOrder, () =>
return KernelContainer.InitOnce(ref Kernels!.Pow2ModOrder, () =>
{
var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>(Pow2ModKernels.Pow2ModOrderKernelScan);
var kernel = KernelUtil.GetKernel(loaded);
@@ -121,12 +121,26 @@ public sealed class GpuKernelLease
}
}
public Action<AcceleratorStream, Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ushort, Stride1D.Dense>> SpecialMaxKernel
{
get
{
var accel = Accelerator;
return KernelContainer.InitOnce(ref Kernels!.SpecialMax, () =>
{
var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ushort, Stride1D.Dense>>(PrimeOrderGpuHeuristics.EvaluateSpecialMaxCandidatesKernel);
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ushort, Stride1D.Dense>>>();
});
}
}
public Action<AcceleratorStream, Index1D, ulong, uint, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>, int, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>> SmallPrimeFactorKernel
{
get
{
var accel = Accelerator;
return KernelContainer.InitOnce(ref _kernels!.SmallPrimeFactor, () =>
return KernelContainer.InitOnce(ref Kernels!.SmallPrimeFactor, () =>
{
var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, uint, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>, int, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>(SmallPrimeFactorKernels.SmallPrimeFactorKernelScan);
var kernel = KernelUtil.GetKernel(loaded);
@@ -143,10 +157,8 @@ public sealed class GpuKernelLease
_gpu?.Dispose();
_gpu = null;
_releaseLimiter?.Invoke();
_releaseLimiter = null;
_kernels = null;
Kernels?.Dispose();
GpuPrimeWorkLimiter.Release();
Pool.Enqueue(this);
}
+263 -244
View File
@@ -1,3 +1,4 @@
using PerfectNumbers.Core;
using System.Collections.Concurrent;
using ILGPU;
using ILGPU.Runtime;
@@ -7,297 +8,315 @@ namespace PerfectNumbers.Core.Gpu;
public readonly struct ResidueAutomatonArgs
{
public readonly ulong Q0M10;
public readonly ulong Step10;
public readonly ulong Q0M8;
public readonly ulong Step8;
public readonly ulong Q0M3;
public readonly ulong Step3;
public readonly ulong Q0M5;
public readonly ulong Step5;
public readonly ulong Q0M10;
public readonly ulong Step10;
public readonly ulong Q0M8;
public readonly ulong Step8;
public readonly ulong Q0M3;
public readonly ulong Step3;
public readonly ulong Q0M5;
public readonly ulong Step5;
public ResidueAutomatonArgs(ulong q0m10, ulong step10, ulong q0m8, ulong step8, ulong q0m3, ulong step3, ulong q0m5, ulong step5)
{
Q0M10 = q0m10; Step10 = step10; Q0M8 = q0m8; Step8 = step8; Q0M3 = q0m3; Step3 = step3; Q0M5 = q0m5; Step5 = step5;
}
public ResidueAutomatonArgs(ulong q0m10, ulong step10, ulong q0m8, ulong step8, ulong q0m3, ulong step3, ulong q0m5, ulong step5)
{
Q0M10 = q0m10; Step10 = step10; Q0M8 = q0m8; Step8 = step8; Q0M3 = q0m3; Step3 = step3; Q0M5 = q0m5; Step5 = step5;
}
}
public sealed class KernelContainer
{
// Serializes first-time initialization of kernels/buffers per accelerator.
public Action<AcceleratorStream, Index1D, ulong, ulong, ArrayView<GpuUInt128>, ArrayView<ulong>>? Order;
public Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong,
ulong, ulong, ulong, ulong, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>>? Incremental;
public Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong,
ResidueAutomatonArgs, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>,
ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<uint, Stride1D.Dense>,
ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>? Pow2Mod;
public Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong,
ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>? IncrementalOrder;
public Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong,
ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>? Pow2ModOrder;
public Action<AcceleratorStream, Index1D, ulong, uint, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>, int, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>? SmallPrimeFactor;
// Serializes first-time initialization of kernels/buffers per accelerator.
public Action<AcceleratorStream, Index1D, ulong, ulong, ArrayView<GpuUInt128>, ArrayView<ulong>>? Order;
public Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong,
ulong, ulong, ulong, ulong, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>>? Incremental;
public Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong,
ResidueAutomatonArgs, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>,
ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<uint, Stride1D.Dense>,
ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>? Pow2Mod;
public Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong,
ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>? IncrementalOrder;
public Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong,
ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>? Pow2ModOrder;
public Action<AcceleratorStream, Index1D, ulong, uint, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>, int, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>? SmallPrimeFactor;
public Action<AcceleratorStream, Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ushort, Stride1D.Dense>>? SpecialMax;
// Optional device buffer with small divisor cycles (<= 4M). Index = divisor, value = cycle length.
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallCycles;
public MemoryBuffer1D<uint, Stride1D.Dense>? SmallPrimeFactorsPrimes;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimeFactorsSquares;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimeFactorPrimeSlots;
public MemoryBuffer1D<int, Stride1D.Dense>? SmallPrimeFactorExponentSlots;
public MemoryBuffer1D<int, Stride1D.Dense>? SmallPrimeFactorCountSlot;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimeFactorRemainingSlot;
public MemoryBuffer1D<uint, Stride1D.Dense>? SmallPrimesLastOne;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimesPow2LastOne;
public MemoryBuffer1D<uint, Stride1D.Dense>? SmallPrimesLastSeven;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimesPow2LastSeven;
// Optional device buffer with small divisor cycles (<= 4M). Index = divisor, value = cycle length.
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallCycles;
public MemoryBuffer1D<uint, Stride1D.Dense>? SmallPrimeFactorsPrimes;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimeFactorsSquares;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimeFactorPrimeSlots;
public MemoryBuffer1D<int, Stride1D.Dense>? SmallPrimeFactorExponentSlots;
public MemoryBuffer1D<int, Stride1D.Dense>? SmallPrimeFactorCountSlot;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimeFactorRemainingSlot;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SpecialMaxFactors;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SpecialMaxCandidates;
public MemoryBuffer1D<ushort, Stride1D.Dense>? SpecialMaxResult;
public MemoryBuffer1D<uint, Stride1D.Dense>? SmallPrimesLastOne;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimesPow2LastOne;
public MemoryBuffer1D<uint, Stride1D.Dense>? SmallPrimesLastSeven;
public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimesPow2LastSeven;
public static T InitOnce<T>(ref T? slot, Func<T> factory) where T : class
{
var current = Volatile.Read(ref slot);
if (current is not null)
{
return current;
}
public static T InitOnce<T>(ref T? slot, Func<T> factory) where T : class
{
var current = Volatile.Read(ref slot);
if (current is not null)
{
return current;
}
current = Volatile.Read(ref slot);
if (current is null)
{
current = factory();
Volatile.Write(ref slot, current);
}
return current;
}
current = Volatile.Read(ref slot);
if (current is null)
{
current = factory();
Volatile.Write(ref slot, current);
}
return current;
}
public void Dispose() => GpuKernelPool.Return(this);
}
public readonly struct ResiduePrimeViews(
ArrayView1D<uint, Stride1D.Dense> lastOne,
ArrayView1D<uint, Stride1D.Dense> lastSeven,
ArrayView1D<ulong, Stride1D.Dense> lastOnePow2,
ArrayView1D<ulong, Stride1D.Dense> lastSevenPow2)
ArrayView1D<uint, Stride1D.Dense> lastOne,
ArrayView1D<uint, Stride1D.Dense> lastSeven,
ArrayView1D<ulong, Stride1D.Dense> lastOnePow2,
ArrayView1D<ulong, Stride1D.Dense> lastSevenPow2)
{
public readonly ArrayView1D<uint, Stride1D.Dense> LastOne = lastOne;
public readonly ArrayView1D<uint, Stride1D.Dense> LastSeven = lastSeven;
public readonly ArrayView1D<ulong, Stride1D.Dense> LastOnePow2 = lastOnePow2;
public readonly ArrayView1D<ulong, Stride1D.Dense> LastSevenPow2 = lastSevenPow2;
public readonly ArrayView1D<uint, Stride1D.Dense> LastOne = lastOne;
public readonly ArrayView1D<uint, Stride1D.Dense> LastSeven = lastSeven;
public readonly ArrayView1D<ulong, Stride1D.Dense> LastOnePow2 = lastOnePow2;
public readonly ArrayView1D<ulong, Stride1D.Dense> LastSevenPow2 = lastSevenPow2;
}
public readonly struct SmallPrimeFactorTables
public readonly struct SmallPrimeFactorTables(
MemoryBuffer1D<uint, Stride1D.Dense> primes,
MemoryBuffer1D<ulong, Stride1D.Dense> squares,
int count)
{
public readonly MemoryBuffer1D<uint, Stride1D.Dense> Primes;
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> Squares;
public readonly int Count;
public readonly MemoryBuffer1D<uint, Stride1D.Dense> Primes = primes;
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> Squares = squares;
public readonly int Count = count;
public SmallPrimeFactorTables(
MemoryBuffer1D<uint, Stride1D.Dense> primes,
MemoryBuffer1D<ulong, Stride1D.Dense> squares,
int count)
{
Primes = primes;
Squares = squares;
Count = count;
}
public ArrayView1D<uint, Stride1D.Dense> PrimesView => Primes.View;
public ArrayView1D<ulong, Stride1D.Dense> SquaresView => Squares.View;
public ArrayView1D<uint, Stride1D.Dense> PrimesView => Primes.View;
public ArrayView1D<ulong, Stride1D.Dense> SquaresView => Squares.View;
}
public readonly struct SmallPrimeFactorScratch
public readonly struct SmallPrimeFactorScratch(
MemoryBuffer1D<ulong, Stride1D.Dense> primeSlots,
MemoryBuffer1D<int, Stride1D.Dense> exponentSlots,
MemoryBuffer1D<int, Stride1D.Dense> countSlot,
MemoryBuffer1D<ulong, Stride1D.Dense> remainingSlot)
{
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> PrimeSlots;
public readonly MemoryBuffer1D<int, Stride1D.Dense> ExponentSlots;
public readonly MemoryBuffer1D<int, Stride1D.Dense> CountSlot;
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> RemainingSlot;
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> PrimeSlots = primeSlots;
public readonly MemoryBuffer1D<int, Stride1D.Dense> ExponentSlots = exponentSlots;
public readonly MemoryBuffer1D<int, Stride1D.Dense> CountSlot = countSlot;
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> RemainingSlot = remainingSlot;
public SmallPrimeFactorScratch(
MemoryBuffer1D<ulong, Stride1D.Dense> primeSlots,
MemoryBuffer1D<int, Stride1D.Dense> exponentSlots,
MemoryBuffer1D<int, Stride1D.Dense> countSlot,
MemoryBuffer1D<ulong, Stride1D.Dense> remainingSlot)
{
PrimeSlots = primeSlots;
ExponentSlots = exponentSlots;
CountSlot = countSlot;
RemainingSlot = remainingSlot;
}
public void Clear()
{
PrimeSlots.MemSetToZero();
ExponentSlots.MemSetToZero();
CountSlot.MemSetToZero();
RemainingSlot.MemSetToZero();
}
}
public void Clear()
{
PrimeSlots.MemSetToZero();
ExponentSlots.MemSetToZero();
CountSlot.MemSetToZero();
RemainingSlot.MemSetToZero();
}
public readonly struct SpecialMaxScratch(
MemoryBuffer1D<ulong, Stride1D.Dense> factorValues,
MemoryBuffer1D<ulong, Stride1D.Dense> candidateValues,
MemoryBuffer1D<ushort, Stride1D.Dense> resultSlot)
{
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> FactorValues = factorValues;
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> CandidateValues = candidateValues;
public readonly MemoryBuffer1D<ushort, Stride1D.Dense> ResultSlot = resultSlot;
public ArrayView1D<ulong, Stride1D.Dense> FactorsView => FactorValues.View;
public ArrayView1D<ulong, Stride1D.Dense> CandidatesView => CandidateValues.View;
public ArrayView1D<ushort, Stride1D.Dense> ResultView => ResultSlot.View;
}
public class GpuKernelPool
{
private static readonly ConcurrentDictionary<Accelerator, KernelContainer> KernelCache = new(); // TODO: Replace this concurrent map with a simple accelerator-indexed lookup once kernel launchers are prewarmed during startup so we can drop the thread-safe wrapper entirely.
private static readonly ConcurrentQueue<KernelContainer> KernelCache = new(); // TODO: Replace this concurrent map with a simple accelerator-indexed lookup once kernel launchers are prewarmed during startup so we can drop the thread-safe wrapper entirely.
private static KernelContainer GetKernels(Accelerator accelerator)
{
return KernelCache.GetOrAdd(accelerator, _ => new KernelContainer());
}
public static KernelContainer GetKernels() => KernelCache.TryDequeue(out var container)
? container
: new KernelContainer();
// Ensures the small cycles table is uploaded to the device for the given accelerator.
// Returns the ArrayView to pass into kernels (when kernels are extended to accept it).
public static ArrayView1D<ulong, Stride1D.Dense> EnsureSmallCyclesOnDevice(Accelerator accelerator)
{
var kernels = GetKernels(accelerator);
if (kernels.SmallCycles is { } buffer)
{
return buffer.View;
}
public static void Return(KernelContainer container) => KernelCache.Enqueue(container);
// Ensure single upload per accelerator even if multiple threads race here.
lock (kernels) // TODO: Remove this lock by pre-uploading the immutable small-cycle snapshot during initialization; once no mutation happens at runtime, the pool must expose a simple reference without synchronization.
{
if (kernels.SmallCycles is { } existing)
{
return existing.View;
}
internal static void PreloadStaticTables(KernelContainer kernels, Accelerator accelerator)
{
EnsureSmallCyclesOnDevice(kernels, accelerator);
EnsureSmallPrimesOnDevice(kernels, accelerator);
EnsureSmallPrimeFactorTables(kernels, accelerator);
}
var host = MersenneDivisorCycles.Shared.ExportSmallCyclesSnapshot(); // TODO: Preload this device buffer during startup and keep it immutable so we can delete the lock above in favor of the preloaded snapshot.
var device = accelerator.Allocate1D<ulong>(host.Length);
device.View.CopyFromCPU(host);
kernels.SmallCycles = device;
return device.View;
}
}
// Ensures the small cycles table is uploaded to the device for the given accelerator.
// Returns the ArrayView to pass into kernels (when kernels are extended to accept it).
public static ArrayView1D<ulong, Stride1D.Dense> EnsureSmallCyclesOnDevice(KernelContainer kernels, Accelerator accelerator)
{
if (kernels.SmallCycles is { } buffer)
{
return buffer.View;
}
public static ResiduePrimeViews EnsureSmallPrimesOnDevice(Accelerator accelerator)
{
var kernels = GetKernels(accelerator);
if (kernels.SmallPrimesLastOne is { } lastOne &&
kernels.SmallPrimesLastSeven is { } lastSeven &&
kernels.SmallPrimesPow2LastOne is { } lastOnePow2 &&
kernels.SmallPrimesPow2LastSeven is { } lastSevenPow2)
{
return new ResiduePrimeViews(lastOne.View, lastSeven.View, lastOnePow2.View, lastSevenPow2.View);
}
var host = MersenneDivisorCycles.Shared.ExportSmallCyclesSnapshot(); // TODO: Preload this device buffer during startup and keep it immutable so we can delete the lock above in favor of the preloaded snapshot.
var device = accelerator.Allocate1D<ulong>(host.Length);
device.View.CopyFromCPU(host);
kernels.SmallCycles = device;
return device.View;
}
lock (kernels) // TODO: Inline these small-prime uploads into startup initialization alongside the small-cycle snapshot so we can drop runtime locking and keep the GPU pool free of synchronization.
{
if (kernels.SmallPrimesLastOne is { } existingLastOne &&
kernels.SmallPrimesLastSeven is { } existingLastSeven &&
kernels.SmallPrimesPow2LastOne is { } existingLastOnePow2 &&
kernels.SmallPrimesPow2LastSeven is { } existingLastSevenPow2)
{
return new ResiduePrimeViews(existingLastOne.View, existingLastSeven.View, existingLastOnePow2.View, existingLastSevenPow2.View);
}
public static ResiduePrimeViews EnsureSmallPrimesOnDevice(KernelContainer kernels, Accelerator accelerator)
{
if (kernels.SmallPrimesLastOne is { } lastOne &&
kernels.SmallPrimesLastSeven is { } lastSeven &&
kernels.SmallPrimesPow2LastOne is { } lastOnePow2 &&
kernels.SmallPrimesPow2LastSeven is { } lastSevenPow2)
{
return new ResiduePrimeViews(lastOne.View, lastSeven.View, lastOnePow2.View, lastSevenPow2.View);
}
var hostLastOne = PrimesGenerator.SmallPrimesLastOne;
var hostLastSeven = PrimesGenerator.SmallPrimesLastSeven;
var hostLastOnePow2 = PrimesGenerator.SmallPrimesPow2LastOne;
var hostLastSevenPow2 = PrimesGenerator.SmallPrimesPow2LastSeven;
if (kernels.SmallPrimesLastOne is { } existingLastOne &&
kernels.SmallPrimesLastSeven is { } existingLastSeven &&
kernels.SmallPrimesPow2LastOne is { } existingLastOnePow2 &&
kernels.SmallPrimesPow2LastSeven is { } existingLastSevenPow2)
{
return new ResiduePrimeViews(existingLastOne.View, existingLastSeven.View, existingLastOnePow2.View, existingLastSevenPow2.View);
}
var deviceLastOne = accelerator.Allocate1D<uint>(hostLastOne.Length);
deviceLastOne.View.CopyFromCPU(hostLastOne);
var deviceLastSeven = accelerator.Allocate1D<uint>(hostLastSeven.Length);
deviceLastSeven.View.CopyFromCPU(hostLastSeven);
var deviceLastOnePow2 = accelerator.Allocate1D<ulong>(hostLastOnePow2.Length);
deviceLastOnePow2.View.CopyFromCPU(hostLastOnePow2);
var deviceLastSevenPow2 = accelerator.Allocate1D<ulong>(hostLastSevenPow2.Length);
deviceLastSevenPow2.View.CopyFromCPU(hostLastSevenPow2);
var hostLastOne = PrimesGenerator.SmallPrimesLastOne;
var hostLastSeven = PrimesGenerator.SmallPrimesLastSeven;
var hostLastOnePow2 = PrimesGenerator.SmallPrimesPow2LastOne;
var hostLastSevenPow2 = PrimesGenerator.SmallPrimesPow2LastSeven;
kernels.SmallPrimesLastOne = deviceLastOne;
kernels.SmallPrimesLastSeven = deviceLastSeven;
kernels.SmallPrimesPow2LastOne = deviceLastOnePow2;
kernels.SmallPrimesPow2LastSeven = deviceLastSevenPow2;
var deviceLastOne = accelerator.Allocate1D<uint>(hostLastOne.Length);
deviceLastOne.View.CopyFromCPU(hostLastOne);
var deviceLastSeven = accelerator.Allocate1D<uint>(hostLastSeven.Length);
deviceLastSeven.View.CopyFromCPU(hostLastSeven);
var deviceLastOnePow2 = accelerator.Allocate1D<ulong>(hostLastOnePow2.Length);
deviceLastOnePow2.View.CopyFromCPU(hostLastOnePow2);
var deviceLastSevenPow2 = accelerator.Allocate1D<ulong>(hostLastSevenPow2.Length);
deviceLastSevenPow2.View.CopyFromCPU(hostLastSevenPow2);
return new ResiduePrimeViews(deviceLastOne.View, deviceLastSeven.View, deviceLastOnePow2.View, deviceLastSevenPow2.View);
}
}
kernels.SmallPrimesLastOne = deviceLastOne;
kernels.SmallPrimesLastSeven = deviceLastSeven;
kernels.SmallPrimesPow2LastOne = deviceLastOnePow2;
kernels.SmallPrimesPow2LastSeven = deviceLastSevenPow2;
public static SmallPrimeFactorTables EnsureSmallPrimeFactorTables(Accelerator accelerator)
{
var kernels = GetKernels(accelerator);
if (kernels.SmallPrimeFactorsPrimes is { } primeBuffer && kernels.SmallPrimeFactorsSquares is { } squareBuffer)
{
return new SmallPrimeFactorTables(primeBuffer, squareBuffer, (int)primeBuffer.Length);
}
return new ResiduePrimeViews(deviceLastOne.View, deviceLastSeven.View, deviceLastOnePow2.View, deviceLastSevenPow2.View);
}
lock (kernels)
{
if (kernels.SmallPrimeFactorsPrimes is { } existingPrimes && kernels.SmallPrimeFactorsSquares is { } existingSquares)
{
return new SmallPrimeFactorTables(existingPrimes, existingSquares, (int)existingPrimes.Length);
}
public static SmallPrimeFactorTables EnsureSmallPrimeFactorTables(KernelContainer kernels, Accelerator accelerator)
{
if (kernels.SmallPrimeFactorsPrimes is { } primeBuffer && kernels.SmallPrimeFactorsSquares is { } squareBuffer)
{
return new SmallPrimeFactorTables(primeBuffer, squareBuffer, (int)primeBuffer.Length);
}
var hostPrimes = PrimesGenerator.SmallPrimes;
var hostSquares = PrimesGenerator.SmallPrimesPow2;
if (kernels.SmallPrimeFactorsPrimes is { } existingPrimes && kernels.SmallPrimeFactorsSquares is { } existingSquares)
{
return new SmallPrimeFactorTables(existingPrimes, existingSquares, (int)existingPrimes.Length);
}
var devicePrimes = accelerator.Allocate1D<uint>(hostPrimes.Length);
devicePrimes.View.CopyFromCPU(hostPrimes);
var deviceSquares = accelerator.Allocate1D<ulong>(hostSquares.Length);
deviceSquares.View.CopyFromCPU(hostSquares);
var hostPrimes = PrimesGenerator.SmallPrimes;
var hostSquares = PrimesGenerator.SmallPrimesPow2;
kernels.SmallPrimeFactorsPrimes = devicePrimes;
kernels.SmallPrimeFactorsSquares = deviceSquares;
var devicePrimes = accelerator.Allocate1D<uint>(hostPrimes.Length);
devicePrimes.View.CopyFromCPU(hostPrimes);
var deviceSquares = accelerator.Allocate1D<ulong>(hostSquares.Length);
deviceSquares.View.CopyFromCPU(hostSquares);
return new SmallPrimeFactorTables(devicePrimes, deviceSquares, hostPrimes.Length);
}
}
kernels.SmallPrimeFactorsPrimes = devicePrimes;
kernels.SmallPrimeFactorsSquares = deviceSquares;
public static SmallPrimeFactorScratch EnsureSmallPrimeFactorScratch(Accelerator accelerator, int slotCount)
{
var kernels = GetKernels(accelerator);
lock (kernels)
{
MemoryBuffer1D<ulong, Stride1D.Dense>? primeSlots = kernels.SmallPrimeFactorPrimeSlots;
if (primeSlots is null || primeSlots.Length < slotCount)
{
primeSlots?.Dispose();
primeSlots = accelerator.Allocate1D<ulong>(slotCount);
kernels.SmallPrimeFactorPrimeSlots = primeSlots;
}
return new SmallPrimeFactorTables(devicePrimes, deviceSquares, hostPrimes.Length);
}
MemoryBuffer1D<int, Stride1D.Dense>? exponentSlots = kernels.SmallPrimeFactorExponentSlots;
if (exponentSlots is null || exponentSlots.Length < slotCount)
{
exponentSlots?.Dispose();
exponentSlots = accelerator.Allocate1D<int>(slotCount);
kernels.SmallPrimeFactorExponentSlots = exponentSlots;
}
public static SmallPrimeFactorScratch EnsureSmallPrimeFactorScratch(KernelContainer kernels, Accelerator accelerator, int slotCount)
{
MemoryBuffer1D<ulong, Stride1D.Dense>? primeSlots = kernels.SmallPrimeFactorPrimeSlots;
if (primeSlots is null || primeSlots.Length < slotCount)
{
primeSlots?.Dispose();
primeSlots = accelerator.Allocate1D<ulong>(slotCount);
kernels.SmallPrimeFactorPrimeSlots = primeSlots;
}
MemoryBuffer1D<int, Stride1D.Dense>? countSlot = kernels.SmallPrimeFactorCountSlot;
if (countSlot is null)
{
countSlot = accelerator.Allocate1D<int>(1);
kernels.SmallPrimeFactorCountSlot = countSlot;
}
MemoryBuffer1D<int, Stride1D.Dense>? exponentSlots = kernels.SmallPrimeFactorExponentSlots;
if (exponentSlots is null || exponentSlots.Length < slotCount)
{
exponentSlots?.Dispose();
exponentSlots = accelerator.Allocate1D<int>(slotCount);
kernels.SmallPrimeFactorExponentSlots = exponentSlots;
}
MemoryBuffer1D<ulong, Stride1D.Dense>? remainingSlot = kernels.SmallPrimeFactorRemainingSlot;
if (remainingSlot is null)
{
remainingSlot = accelerator.Allocate1D<ulong>(1);
kernels.SmallPrimeFactorRemainingSlot = remainingSlot;
}
MemoryBuffer1D<int, Stride1D.Dense>? countSlot = kernels.SmallPrimeFactorCountSlot;
if (countSlot is null)
{
countSlot = accelerator.Allocate1D<int>(1);
kernels.SmallPrimeFactorCountSlot = countSlot;
}
return new SmallPrimeFactorScratch(primeSlots!, exponentSlots!, countSlot!, remainingSlot!);
}
}
MemoryBuffer1D<ulong, Stride1D.Dense>? remainingSlot = kernels.SmallPrimeFactorRemainingSlot;
if (remainingSlot is null)
{
remainingSlot = accelerator.Allocate1D<ulong>(1);
kernels.SmallPrimeFactorRemainingSlot = remainingSlot;
}
public static GpuKernelLease GetKernel(bool useGpuOrder)
{
var limiter = GpuPrimeWorkLimiter.Acquire();
var gpu = Rent();
var accelerator = gpu.Accelerator;
var kernels = GetKernels(accelerator);
return GpuKernelLease.Rent(limiter, gpu, kernels);
}
return new SmallPrimeFactorScratch(primeSlots!, exponentSlots!, countSlot!, remainingSlot!);
}
/// <summary>
/// Runs a GPU action with an acquired accelerator and stream.
/// </summary>
/// <param name="action">Action to run with (Accelerator, Stream).</param>
public static void Run(Action<Accelerator, AcceleratorStream> action)
{
var lease = GetKernel(useGpuOrder: true);
var accelerator = lease.Accelerator;
var stream = accelerator.CreateStream();
action(accelerator, stream);
stream.Dispose();
lease.Dispose();
public static SpecialMaxScratch EnsureSpecialMaxScratch(KernelContainer kernels, Accelerator accelerator, int factorCapacity)
{
MemoryBuffer1D<ulong, Stride1D.Dense>? factorValues = kernels.SpecialMaxFactors;
if (factorValues is null || factorValues.Length < factorCapacity)
{
factorValues?.Dispose();
factorValues = accelerator.Allocate1D<ulong>(factorCapacity);
kernels.SpecialMaxFactors = factorValues;
}
}
MemoryBuffer1D<ulong, Stride1D.Dense>? candidateValues = kernels.SpecialMaxCandidates;
if (candidateValues is null || candidateValues.Length < factorCapacity)
{
candidateValues?.Dispose();
candidateValues = accelerator.Allocate1D<ulong>(factorCapacity);
kernels.SpecialMaxCandidates = candidateValues;
}
MemoryBuffer1D<ushort, Stride1D.Dense>? resultSlot = kernels.SpecialMaxResult;
if (resultSlot is null)
{
resultSlot = accelerator.Allocate1D<ushort>(1);
kernels.SpecialMaxResult = resultSlot;
}
return new SpecialMaxScratch(factorValues!, candidateValues!, resultSlot!);
}
public static GpuKernelLease GetKernel(bool useGpuOrder)
{
GpuPrimeWorkLimiter.Acquire();
var gpu = Rent();
var kernels = GetKernels();
return GpuKernelLease.Rent(gpu, kernels);
}
/// <summary>
/// Runs a GPU action with an acquired accelerator and stream.
/// </summary>
/// <param name="action">Action to run with (Accelerator, Stream).</param>
public static void Run(Action<Accelerator, AcceleratorStream> action)
{
var lease = GetKernel(useGpuOrder: true);
var accelerator = lease.Accelerator;
var stream = accelerator.CreateStream();
action(accelerator, stream);
stream.Dispose();
lease.Dispose();
}
}
+18 -30
View File
@@ -1,3 +1,6 @@
using System;
using System.Threading;
namespace PerfectNumbers.Core.Gpu;
public static class GpuPrimeWorkLimiter
@@ -5,41 +8,26 @@ public static class GpuPrimeWorkLimiter
private static SemaphoreSlim _semaphore = new(1, int.MaxValue);
private static int _currentLimit = 1;
public static Lease Acquire()
public static void Acquire() => _semaphore.Wait();
public static void Release() => _semaphore.Release();
public static void SetLimit(int value)
{
// TODO: Inline the pooled limiter guard from the GpuLimiterThroughputBenchmarks so prime-sieve
// GPU jobs stop allocating Lease instances on every acquisition.
var sem = _semaphore;
// sem.Wait();
return new Lease(sem);
}
public static void SetLimit(int value)
{
if (value == _currentLimit)
{
return;
}
// TODO: Switch to a shared limiter implementation with GpuWorkLimiter so we can coordinate CPU/GPU prime work using
// the same semaphore pool without reallocating per adjustment.
_semaphore = new SemaphoreSlim(value, value);
_currentLimit = value;
}
public sealed class Lease
{
private readonly SemaphoreSlim _sem;
internal Lease(SemaphoreSlim sem)
if (value <= 0)
{
_sem = sem;
value = 1;
}
public void Dispose()
if (value == _currentLimit)
{
// _sem.Release();
return;
}
// TODO: Switch to a shared limiter implementation with GpuWorkLimiter so we can coordinate CPU/GPU prime work using
// the same semaphore pool without reallocating per adjustment.
var previous = _semaphore;
_semaphore = new SemaphoreSlim(value, value);
_currentLimit = value;
previous.Dispose();
}
}
@@ -0,0 +1,39 @@
using System.Collections.Concurrent;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using ILGPU;
using ILGPU.Runtime;
using PerfectNumbers.Core;
namespace PerfectNumbers.Core.Gpu;
internal static class GpuStaticTableInitializer
{
private static readonly ConcurrentDictionary<Accelerator, byte> Initialized = new(AcceleratorReferenceComparer.Instance);
internal static void EnsureStaticTables(KernelContainer kernels, Accelerator accelerator)
{
Initialized.GetOrAdd(accelerator, acc =>
{
PrimeTester.PrimeTesterGpuContextPool.EnsureStaticTables(kernels, acc);
GpuKernelPool.PreloadStaticTables(kernels, acc);
PrimeOrderGpuHeuristics.PreloadStaticTables( acc);
return 0;
});
}
private sealed class AcceleratorReferenceComparer : IEqualityComparer<Accelerator>
{
internal static AcceleratorReferenceComparer Instance { get; } = new();
public bool Equals(Accelerator? x, Accelerator? y)
{
return ReferenceEquals(x, y);
}
public int GetHashCode(Accelerator obj)
{
return RuntimeHelpers.GetHashCode(obj);
}
}
}
@@ -0,0 +1,80 @@
using ILGPU;
using ILGPU.Runtime;
using PerfectNumbers.Core;
namespace PerfectNumbers.Core.Gpu;
internal static partial class PrimeOrderGpuHeuristics
{
internal static void EvaluateSpecialMaxCandidatesKernel(
Index1D index,
ulong phi,
ArrayView1D<ulong, Stride1D.Dense> factors,
int factorCount,
MontgomeryDivisorData divisor,
ArrayView1D<ulong, Stride1D.Dense> candidates,
ArrayView1D<ushort, Stride1D.Dense> resultOut)
{
if (index != 0)
{
return;
}
int actual = 0;
for (int i = 0; i < factorCount; i++)
{
ulong factor = factors[i];
if (factor <= 1UL)
{
continue;
}
ulong reduced = phi / factor;
if (reduced == 0UL)
{
continue;
}
candidates[actual] = reduced;
actual++;
}
if (actual == 0)
{
resultOut[0] = 1;
return;
}
for (int i = 1; i < actual; i++)
{
ulong current = candidates[i];
int insert = i - 1;
while (insert >= 0 && candidates[insert] > current)
{
candidates[insert + 1] = candidates[insert];
insert--;
}
candidates[insert + 1] = current;
}
var divisorPartial = new GpuDivisorPartialData(divisor.Modulus);
var stepper = new ExponentRemainderStepperGpu(divisorPartial);
if (stepper.InitializeIsUnityGpu(candidates[0]))
{
resultOut[0] = 0;
return;
}
for (int i = 1; i < actual; i++)
{
if (stepper.ComputeNextIsUnityGpu(candidates[i]))
{
resultOut[0] = 0;
return;
}
}
resultOut[0] = 1;
}
}
@@ -92,14 +92,20 @@ internal static class PrimeTesterKernels
int divisorLength = (int)divisorSquares.Length;
int threadIndex = index;
bool skipThread = threadIndex >= divisorLength;
ulong divisorSquare = skipThread ? 0UL : divisorSquares[threadIndex];
skipThread = skipThread | (divisorSquare > maxDivisorSquare);
if (threadIndex >= divisorLength)
{
return;
}
ulong divisor = skipThread ? 1UL : divisors[threadIndex];
ulong remainder = skipThread ? 1UL : n % divisor;
bool hasFactor = !skipThread & (remainder == 0UL);
if (hasFactor)
ulong divisorSquare = divisorSquares[threadIndex];
if (divisorSquare > maxDivisorSquare)
{
return;
}
ulong divisor = divisors[threadIndex];
divisor = n % divisor;
if (divisor == 0UL)
{
resultFlag[0] = 1;
}
@@ -31,11 +31,11 @@ public class MersenneNumberIncrementalGpuTester(GpuKernelType kernelType, bool u
ulong step3 = ((exponent % 3UL) << 1) % 3UL;
ulong step5 = ((exponent % 5UL) << 1) % 5UL;
GpuUInt128 twoPGpu = (GpuUInt128)twoP;
var smallCyclesView = GpuKernelPool.EnsureSmallCyclesOnDevice(accelerator);
var smallCyclesView = GpuKernelPool.EnsureSmallCyclesOnDevice(gpuLease.Kernels, accelerator);
ResiduePrimeViews primeViews = default;
if (_kernelType == GpuKernelType.Pow2Mod)
{
primeViews = GpuKernelPool.EnsureSmallPrimesOnDevice(accelerator);
primeViews = GpuKernelPool.EnsureSmallPrimesOnDevice(gpuLease.Kernels, accelerator);
}
var orderBuffer = accelerator.Allocate1D<ulong>(batchSize);
@@ -121,7 +121,7 @@ public class MersenneNumberIncrementalGpuTester(GpuKernelType kernelType, bool u
}
ArrayPool<ulong>.Shared.Return(orderArray);
orderBuffer.Dispose();
orderBuffer.Dispose();
gpuLease.Dispose();
}
}
@@ -54,13 +54,13 @@ public class MersenneNumberLucasLehmerGpuTester
return false;
}
var limiter = GpuPrimeWorkLimiter.Acquire();
GpuPrimeWorkLimiter.Acquire();
bool result;
if (exponent >= 128UL)
{
if (!TryGetNttParameters(exponent, out var nttMod, out var primitiveRoot))
{
limiter.Dispose();
GpuPrimeWorkLimiter.Release();
throw new NotSupportedException("NTT parameters for the given exponent are not available.");
}
@@ -80,7 +80,7 @@ public class MersenneNumberLucasLehmerGpuTester
gpu.Dispose();
}
limiter.Dispose();
GpuPrimeWorkLimiter.Release();
return result;
}
@@ -4,62 +4,63 @@ namespace PerfectNumbers.Core.Gpu;
public class MersenneNumberOrderGpuTester(GpuKernelType kernelType, bool useGpuOrder)
{
private readonly GpuKernelType _kernelType = kernelType;
private readonly bool _useGpuOrder = useGpuOrder;
private readonly GpuKernelType _kernelType = kernelType;
private readonly bool _useGpuOrder = useGpuOrder;
public void Scan(ulong exponent, UInt128 twoP, LastDigit lastDigit, UInt128 maxK, ref bool isPrime)
{
var gpuLease = GpuKernelPool.GetKernel(_useGpuOrder);
var accelerator = gpuLease.Accelerator;
var stream = gpuLease.Stream;
int batchSize = GpuConstants.ScanBatchSize; // large batch improves GPU occupancy and avoids TDR
UInt128 kStart = UInt128.One;
ulong divMul = (ulong)((((UInt128)1 << 64) - UInt128.One) / exponent) + 1UL;
byte last = lastDigit == LastDigit.Seven ? (byte)1 : (byte)0; // ILGPU kernels do not support bool parameters
public void Scan(ulong exponent, UInt128 twoP, LastDigit lastDigit, UInt128 maxK, ref bool isPrime)
{
var gpuLease = GpuKernelPool.GetKernel(_useGpuOrder);
var accelerator = gpuLease.Accelerator;
var stream = gpuLease.Stream;
int batchSize = GpuConstants.ScanBatchSize; // large batch improves GPU occupancy and avoids TDR
UInt128 kStart = UInt128.One;
ulong divMul = (ulong)((((UInt128)1 << 64) - UInt128.One) / exponent) + 1UL;
byte last = lastDigit == LastDigit.Seven ? (byte)1 : (byte)0; // ILGPU kernels do not support bool parameters
var kernel = _kernelType switch
{
GpuKernelType.Pow2Mod => gpuLease.Pow2ModOrderKernel,
_ => gpuLease.IncrementalOrderKernel,
};
var kernel = _kernelType switch
{
GpuKernelType.Pow2Mod => gpuLease.Pow2ModOrderKernel,
_ => gpuLease.IncrementalOrderKernel,
};
var foundBuffer = accelerator.Allocate1D<int>(1); // TODO: Replace this allocation with the pooled device buffer from GpuOrderKernelBenchmarks so repeated scans reuse the pinned staging memory instead of allocating per run.
exponent.Mod10_8_5_3Steps(out ulong step10, out ulong step8, out ulong step5, out ulong step3);
var foundBuffer = accelerator.Allocate1D<int>(1); // TODO: Replace this allocation with the pooled device buffer from GpuOrderKernelBenchmarks so repeated scans reuse the pinned staging memory instead of allocating per run.
exponent.Mod10_8_5_3Steps(out ulong step10, out ulong step8, out ulong step5, out ulong step3);
UInt128 remaining;
int currentSize;
int found = 0;
while (kStart <= maxK && Volatile.Read(ref isPrime))
{
remaining = maxK - kStart + 1UL;
currentSize = remaining > (UInt128)batchSize ? batchSize : (int)remaining;
// This clear is required because the result may not always be set. Remove it after the kernels are modified to always set the result.
foundBuffer.MemSetToZero();
// Precompute residue automaton bases for this batch
UInt128 q0 = twoP * kStart + 1UL;
// TODO: Replace these modulo recomputations with the divisor-cycle stepping deltas captured in
// MersenneDivisorCycleLengthGpuBenchmarks so each batch advances via cached residues from the
// single snapshot block instead of recalculating mod 10/8/5/3 in every iteration.
q0.Mod10_8_5_3(out ulong q0m10, out ulong q0m8, out ulong q0m5, out ulong q0m3);
var kernelArgs = new ResidueAutomatonArgs(q0m10, step10, q0m8, step8, q0m3, step3, q0m5, step5);
UInt128 remaining;
int currentSize;
int found = 0;
// Ensure device has small cycles table for early rejections in order kernels
var smallCyclesView = GpuKernelPool.EnsureSmallCyclesOnDevice(accelerator);
kernel(stream, currentSize, exponent, (GpuUInt128)twoP, (GpuUInt128)kStart, last, divMul,
kernelArgs, foundBuffer.View, smallCyclesView);
var smallCyclesView = GpuKernelPool.EnsureSmallCyclesOnDevice(gpuLease.Kernels, accelerator);
while (kStart <= maxK && Volatile.Read(ref isPrime))
{
remaining = maxK - kStart + 1UL;
currentSize = remaining > (UInt128)batchSize ? batchSize : (int)remaining;
// This clear is required because the result may not always be set. Remove it after the kernels are modified to always set the result.
foundBuffer.MemSetToZero();
// Precompute residue automaton bases for this batch
UInt128 q0 = twoP * kStart + 1UL;
// TODO: Replace these modulo recomputations with the divisor-cycle stepping deltas captured in
// MersenneDivisorCycleLengthGpuBenchmarks so each batch advances via cached residues from the
// single snapshot block instead of recalculating mod 10/8/5/3 in every iteration.
q0.Mod10_8_5_3(out ulong q0m10, out ulong q0m8, out ulong q0m5, out ulong q0m3);
var kernelArgs = new ResidueAutomatonArgs(q0m10, step10, q0m8, step8, q0m3, step3, q0m5, step5);
stream.Synchronize();
foundBuffer.View.CopyToCPU(ref found, 1);
if (found != 0)
{
Volatile.Write(ref isPrime, false);
break;
}
// Ensure device has small cycles table for early rejections in order kernels
kernel(stream, currentSize, exponent, (GpuUInt128)twoP, (GpuUInt128)kStart, last, divMul,
kernelArgs, foundBuffer.View, smallCyclesView);
kStart += (UInt128)currentSize;
}
stream.Synchronize();
foundBuffer.View.CopyToCPU(ref found, 1);
if (found != 0)
{
Volatile.Write(ref isPrime, false);
break;
}
foundBuffer.Dispose();
gpuLease.Dispose();
}
kStart += (UInt128)currentSize;
}
foundBuffer.Dispose();
gpuLease.Dispose();
}
}
@@ -26,7 +26,7 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
// GPU residue variant: check 2^p % q == 1 for q = 2*p*k + 1.
public void Scan(ulong exponent, UInt128 twoP, LastDigit lastDigit, UInt128 maxK, ref bool isPrime)
{
var limiter = GpuPrimeWorkLimiter.Acquire();
GpuPrimeWorkLimiter.Acquire();
var gpuLease = RentAccelerator();
var accelerator = gpuLease.Accelerator;
@@ -34,15 +34,16 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
var stream = accelerator.CreateStream();
var kernel = GetPow2ModKernel(accelerator);
var resources = RentResources(accelerator, GpuConstants.ScanBatchSize);
var resources = RentResources(accelerator, GpuConstants.ScanBatchSize);
var gpuKernels = GpuKernelPool.GetKernels();
var orderBuffer = resources.OrderBuffer;
ulong[] orderArray = resources.OrderArray;
int batchSize = resources.Capacity;
// Ensure device has small cycles and primes tables for in-kernel lookup
var smallCyclesView = GpuKernelPool.EnsureSmallCyclesOnDevice(accelerator);
ResiduePrimeViews primeViews = GpuKernelPool.EnsureSmallPrimesOnDevice(accelerator);
var smallCyclesView = GpuKernelPool.EnsureSmallCyclesOnDevice(gpuKernels, accelerator);
ResiduePrimeViews primeViews = GpuKernelPool.EnsureSmallPrimesOnDevice(gpuKernels, accelerator);
UInt128 kStart = 1UL;
UInt128 limit = maxK + UInt128.One;
@@ -108,9 +109,10 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
ReturnResources(accelerator, resources);
stream.Dispose();
// Monitor.Exit(gpuLease.ExecutionLock);
ReturnAccelerator(gpuLease);
limiter.Dispose();
// Monitor.Exit(gpuLease.ExecutionLock);
gpuKernels.Dispose();
ReturnAccelerator(gpuLease);
GpuPrimeWorkLimiter.Release();
}
private Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>> GetPow2ModKernel(Accelerator accelerator) =>
@@ -18,6 +18,11 @@ internal enum GpuPow2ModStatus
internal static partial class PrimeOrderGpuHeuristics
{
internal static void PreloadStaticTables(Accelerator accelerator)
{
_ = GetSmallPrimeDeviceCache(accelerator);
}
private static readonly ConcurrentDictionary<ulong, byte> OverflowedPrimes = new();
private static readonly ConcurrentDictionary<UInt128, byte> OverflowedPrimesWide = new();
private static readonly ConcurrentDictionary<Accelerator, Action<AcceleratorStream, Index1D, ArrayView1D<ulong, Stride1D.Dense>, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>>> Pow2ModKernelCache = new();
@@ -0,0 +1,19 @@
using System;
using System.Threading;
using ILGPU;
using ILGPU.Runtime;
namespace PerfectNumbers.Core.Gpu;
internal static class SharedGpuContext
{
private static readonly Lazy<Context> s_context = new(() => ILGPU.Context.CreateDefault(), LazyThreadSafetyMode.ExecutionAndPublication);
private static readonly Lazy<Device> s_device = new(() => s_context.Value.GetPreferredDevice(false), LazyThreadSafetyMode.ExecutionAndPublication);
private static readonly Lazy<Accelerator> s_accelerator = new(() => s_device.Value.CreateAccelerator(s_context.Value), LazyThreadSafetyMode.ExecutionAndPublication);
internal static Context Context => s_context.Value;
internal static Device Device => s_device.Value;
internal static Accelerator Accelerator => s_accelerator.Value;
}
@@ -1,5 +1,4 @@
using Open.Numeric.Primes;
using System;
using ILGPU.Runtime;
using System.Runtime.CompilerServices;
using PerfectNumbers.Core.Gpu;
@@ -42,20 +41,20 @@ public sealed class HeuristicCombinedPrimeTester
}
public static void EnsureInitialized()
{
// Intentionally left blank. Accessing this method forces the static constructor to run.
}
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding1Span => CombinedDivisorsEnding1;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding3Span => CombinedDivisorsEnding3;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding7Span => CombinedDivisorsEnding7;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding9Span => CombinedDivisorsEnding9;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding1SquaresSpan => CombinedDivisorsEnding1Squares;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding3SquaresSpan => CombinedDivisorsEnding3Squares;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding7SquaresSpan => CombinedDivisorsEnding7Squares;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding9SquaresSpan => CombinedDivisorsEnding9Squares;
public static void EnsureInitialized()
{
// Intentionally left blank. Accessing this method forces the static constructor to run.
}
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding1Span => CombinedDivisorsEnding1;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding3Span => CombinedDivisorsEnding3;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding7Span => CombinedDivisorsEnding7;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding9Span => CombinedDivisorsEnding9;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding1SquaresSpan => CombinedDivisorsEnding1Squares;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding3SquaresSpan => CombinedDivisorsEnding3Squares;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding7SquaresSpan => CombinedDivisorsEnding7Squares;
internal static ReadOnlySpan<ulong> CombinedDivisorsEnding9SquaresSpan => CombinedDivisorsEnding9Squares;
private const ulong Wheel210 = 210UL;
@@ -223,39 +222,39 @@ public sealed class HeuristicCombinedPrimeTester
};
private static bool HeuristicTrialDivisionGpuDetectsDivisor(ulong n, ulong maxDivisorSquare, byte nMod10)
{
var limiter = GpuPrimeWorkLimiter.Acquire();
var gpu = PrimeTester.PrimeTesterGpuContextPool.Rent(1);
var accelerator = gpu.Accelerator;
var kernel = gpu.HeuristicTrialDivisionKernel;
var flagView1D = gpu.HeuristicFlag.View;
var flagView = flagView1D.AsContiguous();
private static bool HeuristicTrialDivisionGpuDetectsDivisor(ulong n, ulong maxDivisorSquare, byte nMod10)
{
GpuPrimeWorkLimiter.Acquire();
var gpu = PrimeTester.PrimeTesterGpuContextPool.Rent(1);
var accelerator = gpu.Accelerator;
var kernel = PrimeTester.PrimeTesterGpuContextPool.PrimeTesterGpuContextLease.HeuristicTrialDivisionKernel;
var flagView1D = gpu.HeuristicFlag.View;
var flagView = flagView1D.AsContiguous();
bool compositeDetected = false;
int divisorLength = GetCombinedDivisors(nMod10).Length;
bool compositeDetected = false;
int divisorLength = GetCombinedDivisors(nMod10).Length;
int compositeFlag = 0;
flagView1D.CopyFromCPU(ref compositeFlag, 1);
kernel(
divisorLength,
flagView,
n,
maxDivisorSquare,
HeuristicGpuDivisorTableKind.Combined,
gpu.HeuristicGpuTables);
accelerator.Synchronize();
flagView1D.CopyToCPU(ref compositeFlag, 1);
compositeDetected = compositeFlag != 0;
int compositeFlag = 0;
flagView1D.CopyFromCPU(ref compositeFlag, 1);
kernel(
divisorLength,
flagView,
n,
maxDivisorSquare,
HeuristicGpuDivisorTableKind.Combined,
gpu.HeuristicGpuTables);
accelerator.Synchronize();
flagView1D.CopyToCPU(ref compositeFlag, 1);
compositeDetected = compositeFlag != 0;
gpu.Dispose();
limiter.Dispose();
return compositeDetected;
}
gpu.Dispose();
GpuPrimeWorkLimiter.Release();
return compositeDetected;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static bool EvaluateWithOpenNumericFallback(ulong n)
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static bool EvaluateWithOpenNumericFallback(ulong n)
{
return Prime.Numbers.IsPrime(n);
}
+62 -62
View File
@@ -213,7 +213,7 @@ public sealed class HeuristicPrimeTester
int processed = 0;
while (processed < interleaveBatchSize)
{
if (!TrySelectNextGroupBDivisor(endingOrder, indices, maxDivisorSquare, out ulong divisor))
if (!TrySelectNextGroupBDivisor(endingOrder, indices, maxDivisorSquare, out ulong divisor))
{
groupBHasMore = false;
break;
@@ -238,77 +238,77 @@ public sealed class HeuristicPrimeTester
}
private bool HeuristicTrialDivisionGpuDetectsDivisor(ulong n, ulong maxDivisorSquare, byte nMod10)
{
var limiter = GpuPrimeWorkLimiter.Acquire();
var gpu = PrimeTester.PrimeTesterGpuContextPool.Rent(1);
var accelerator = gpu.Accelerator;
var kernel = gpu.HeuristicTrialDivisionKernel;
var flagView1D = gpu.HeuristicFlag.View;
var flagView = flagView1D.AsContiguous();
private bool HeuristicTrialDivisionGpuDetectsDivisor(ulong n, ulong maxDivisorSquare, byte nMod10)
{
GpuPrimeWorkLimiter.Acquire();
var gpu = PrimeTester.PrimeTesterGpuContextPool.Rent(1);
var accelerator = gpu.Accelerator;
var kernel = PrimeTester.PrimeTesterGpuContextPool.PrimeTesterGpuContextLease.HeuristicTrialDivisionKernel;
var flagView1D = gpu.HeuristicFlag.View;
var flagView = flagView1D.AsContiguous();
bool compositeDetected = false;
int compositeFlag = 0;
bool compositeDetected = false;
int compositeFlag = 0;
int groupALength = HeuristicPrimeSieves.GroupADivisors.Length;
int groupALength = HeuristicPrimeSieves.GroupADivisors.Length;
flagView1D.CopyFromCPU(ref compositeFlag, 1);
kernel(
groupALength,
flagView,
n,
maxDivisorSquare,
HeuristicGpuDivisorTableKind.GroupA,
gpu.HeuristicGpuTables);
accelerator.Synchronize();
flagView1D.CopyToCPU(ref compositeFlag, 1);
compositeDetected = compositeFlag != 0;
flagView1D.CopyFromCPU(ref compositeFlag, 1);
kernel(
groupALength,
flagView,
n,
maxDivisorSquare,
HeuristicGpuDivisorTableKind.GroupA,
gpu.HeuristicGpuTables);
accelerator.Synchronize();
flagView1D.CopyToCPU(ref compositeFlag, 1);
compositeDetected = compositeFlag != 0;
if (!compositeDetected)
{
ReadOnlySpan<byte> endingOrder = GetGroupBEndingOrder(nMod10);
for (int i = 0; i < endingOrder.Length && !compositeDetected; i++)
{
byte ending = endingOrder[i];
HeuristicGpuDivisorTableKind tableKind = ending switch
{
1 => HeuristicGpuDivisorTableKind.GroupBEnding1,
7 => HeuristicGpuDivisorTableKind.GroupBEnding7,
9 => HeuristicGpuDivisorTableKind.GroupBEnding9,
_ => HeuristicGpuDivisorTableKind.GroupA,
};
if (!compositeDetected)
{
ReadOnlySpan<byte> endingOrder = GetGroupBEndingOrder(nMod10);
for (int i = 0; i < endingOrder.Length && !compositeDetected; i++)
{
byte ending = endingOrder[i];
HeuristicGpuDivisorTableKind tableKind = ending switch
{
1 => HeuristicGpuDivisorTableKind.GroupBEnding1,
7 => HeuristicGpuDivisorTableKind.GroupBEnding7,
9 => HeuristicGpuDivisorTableKind.GroupBEnding9,
_ => HeuristicGpuDivisorTableKind.GroupA,
};
if (tableKind == HeuristicGpuDivisorTableKind.GroupA)
{
continue;
}
if (tableKind == HeuristicGpuDivisorTableKind.GroupA)
{
continue;
}
int divisorLength = GetGroupBDivisors(ending).Length;
int divisorLength = GetGroupBDivisors(ending).Length;
compositeFlag = 0;
flagView1D.CopyFromCPU(ref compositeFlag, 1);
kernel(
divisorLength,
flagView,
n,
maxDivisorSquare,
tableKind,
gpu.HeuristicGpuTables);
accelerator.Synchronize();
flagView1D.CopyToCPU(ref compositeFlag, 1);
compositeDetected = compositeFlag != 0;
}
}
compositeFlag = 0;
flagView1D.CopyFromCPU(ref compositeFlag, 1);
kernel(
divisorLength,
flagView,
n,
maxDivisorSquare,
tableKind,
gpu.HeuristicGpuTables);
accelerator.Synchronize();
flagView1D.CopyToCPU(ref compositeFlag, 1);
compositeDetected = compositeFlag != 0;
}
}
gpu.Dispose();
limiter.Dispose();
return compositeDetected;
}
gpu.Dispose();
GpuPrimeWorkLimiter.Release();
return compositeDetected;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static bool EvaluateWithOpenNumericFallback(ulong n)
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static bool EvaluateWithOpenNumericFallback(ulong n)
{
return Prime.Numbers.IsPrime(n);
}
@@ -327,7 +327,7 @@ public sealed class HeuristicPrimeTester
};
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static bool TrySelectNextGroupBDivisor(ReadOnlySpan<byte> endingOrder, Span<int> indices, ulong maxDivisorSquare, out ulong divisor)
private static bool TrySelectNextGroupBDivisor(ReadOnlySpan<byte> endingOrder, Span<int> indices, ulong maxDivisorSquare, out ulong divisor)
{
ulong bestCandidate = ulong.MaxValue;
int bestEndingIndex = -1;
+2 -2
View File
@@ -412,7 +412,7 @@ public class MersenneDivisorCycles
// Console.WriteLine($"MersenneDivisorCycles.TryFactorIntoCountsInternal hits {Volatile.Read(ref _tryFactorIntoCountsInternalHits)}");
// HeuristicPrimeTester primeTester = _primeTester ??= new();
if (PrimeTester.IsPrime(remaining))
if (PrimeTester.IsPrimeGpu(remaining))
// if (PrimeTester.IsPrimeCpu(remaining, CancellationToken.None))
{
AddFactor(counts, remaining);
@@ -943,7 +943,7 @@ public class MersenneDivisorCycles
// HeuristicPrimeTester primeTester = _primeTester ??= new();
// if (!skipPrimeOrderHeuristic && HeuristicPrimeTester.Exclusive.IsPrimeCpu(divisor, CancellationToken.None))
// if (!skipPrimeOrderHeuristic && primeTester.IsPrimeGpu(divisor))
if (!skipPrimeOrderHeuristic && PrimeTester.IsPrime(divisor))
if (!skipPrimeOrderHeuristic && PrimeTester.IsPrimeGpu(divisor))
{
ulong computedOrder = PrimeOrderCalculator.Calculate(
divisor,
+12 -13
View File
@@ -1,4 +1,3 @@
using System;
using System.Buffers;
using System.Diagnostics;
using System.Numerics;
@@ -108,7 +107,7 @@ internal static partial class PrimeOrderCalculator
return candidateOrder;
}
// private static ulong specialMaxHits;
private static bool TrySpecialMaxCpu(ulong phi, ulong prime, PartialFactorResult factors, in MontgomeryDivisorData divisorData)
{
int length = factors.Count;
@@ -121,16 +120,16 @@ internal static partial class PrimeOrderCalculator
ReadOnlySpan<FactorEntry> factorSpan = new(factors.Factors, 0, length);
if (length <= 32)
Span<ulong> stackBuffer = stackalloc ulong[length];
if (length <= 7)
{
Span<ulong> stackBuffer = stackalloc ulong[length];
return EvaluateSpecialMaxCandidates(stackBuffer, factorSpan, phi, prime, divisorData);
}
ulong[] rented = ThreadStaticPools.UlongPool.Rent(length);
bool result = EvaluateSpecialMaxCandidates(rented.AsSpan(0, length), factorSpan, phi, prime, divisorData);
ThreadStaticPools.UlongPool.Return(rented, clearArray: false);
return result;
// Atomic.Add(ref specialMaxHits, 1);
// Console.WriteLine($"Special max GPU hit {specialMaxHits} ({length})");
return EvaluateSpecialMaxCandidatesGpu(stackBuffer, factorSpan, phi, prime, divisorData);
}
private static bool EvaluateSpecialMaxCandidates(Span<ulong> buffer, ReadOnlySpan<FactorEntry> factors, ulong phi, ulong prime, in MontgomeryDivisorData divisorData)
@@ -1194,7 +1193,7 @@ internal static partial class PrimeOrderCalculator
// Console.WriteLine($"Partial factor pending hits {Volatile.Read(ref _partialFactorPendingHits)}");
// bool isPrime = PrimeTester.IsPrimeCpu(composite, CancellationToken.None);
bool isPrime = PrimeTester.IsPrime(composite);
bool isPrime = PrimeTester.IsPrimeGpu(composite);
// bool isPrime = Open.Numeric.Primes.Prime.Numbers.IsPrime(composite);
entry = entry.WithPrimality(isPrime);
@@ -1231,7 +1230,7 @@ internal static partial class PrimeOrderCalculator
// Atomic.Add(ref _partialFactorCofactorHits, 1UL);
// Console.WriteLine($"Partial factor cofactor hits {Volatile.Read(ref _partialFactorCofactorHits)}");
cofactorIsPrime = PrimeTester.IsPrime(cofactor);
cofactorIsPrime = PrimeTester.IsPrimeGpu(cofactor);
// cofactorIsPrime = PrimeTester.IsPrimeGpu(cofactor);
// cofactorIsPrime = Open.Numeric.Primes.Prime.Numbers.IsPrime(cofactor);
}
@@ -1701,7 +1700,7 @@ internal static partial class PrimeOrderCalculator
// HeuristicPrimeTester tester = _tester ??= new();
// bool isPrime = primeTester.HeuristicIsPrimeGpu(value);
bool isPrime = PrimeTester.IsPrime(value);
bool isPrime = PrimeTester.IsPrimeGpu(value);
// bool isPrime = PrimeTester.IsPrimeGpu(value);
// bool isPrime = Open.Numeric.Primes.Prime.Numbers.IsPrime(value);
if (!knownComposite && isPrime)
@@ -1717,7 +1716,7 @@ internal static partial class PrimeOrderCalculator
// Console.WriteLine($"Factor completely after PollardRho hits {Volatile.Read(ref _factorCompletelyPollardRhoHits)}");
// isPrime = primeTester.HeuristicIsPrimeGpu(factor);
isPrime = PrimeTester.IsPrime(factor);
isPrime = PrimeTester.IsPrimeGpu(factor);
// isPrime = PrimeTester.IsPrimeGpu(factor);
// isPrime = Open.Numeric.Primes.Prime.Numbers.IsPrime(factor);
if (isPrime)
@@ -1754,7 +1753,7 @@ internal static partial class PrimeOrderCalculator
// Atomic.Add(ref _partialFactorCofactorHits, 1UL);
// Console.WriteLine($"Partial factor cofactor hits {Volatile.Read(ref _partialFactorCofactorHits)}");
isPrime = PrimeTester.IsPrime(quotient);
isPrime = PrimeTester.IsPrimeGpu(quotient);
// isPrime = PrimeTester.IsPrimeGpu(quotient);
// isPrime = Open.Numeric.Primes.Prime.Numbers.IsPrime(quotient);
}
+96 -48
View File
@@ -9,63 +9,111 @@ namespace PerfectNumbers.Core;
internal static partial class PrimeOrderCalculator
{
private static bool IsGpuPow2Allowed => s_pow2ModeInitialized && s_allowGpuPow2;
private static bool IsGpuPow2Allowed => s_pow2ModeInitialized && s_allowGpuPow2;
private const int GpuSmallPrimeFactorSlots = 64;
private const int GpuSmallPrimeFactorSlots = 64;
private static bool TryPopulateSmallPrimeFactorsGpu(ulong value, uint limit, Dictionary<ulong, int> counts, out int factorCount, out ulong remaining)
{
var primeBufferArray = ThreadStaticPools.UlongPool.Rent(GpuSmallPrimeFactorSlots);
var exponentBufferArray = ThreadStaticPools.IntPool.Rent(GpuSmallPrimeFactorSlots);
Span<ulong> primeBuffer = primeBufferArray.AsSpan(0, GpuSmallPrimeFactorSlots);
Span<int> exponentBuffer = exponentBufferArray.AsSpan(0, GpuSmallPrimeFactorSlots);
remaining = value;
private static bool TryPopulateSmallPrimeFactorsGpu(ulong value, uint limit, Dictionary<ulong, int> counts, out int factorCount, out ulong remaining)
{
var primeBufferArray = ThreadStaticPools.UlongPool.Rent(GpuSmallPrimeFactorSlots);
var exponentBufferArray = ThreadStaticPools.IntPool.Rent(GpuSmallPrimeFactorSlots);
Span<ulong> primeBuffer = primeBufferArray.AsSpan(0, GpuSmallPrimeFactorSlots);
Span<int> exponentBuffer = exponentBufferArray.AsSpan(0, GpuSmallPrimeFactorSlots);
remaining = value;
var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
Accelerator accelerator = lease.Accelerator;
AcceleratorStream stream = lease.Stream;
var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
Accelerator accelerator = lease.Accelerator;
AcceleratorStream stream = lease.Stream;
SmallPrimeFactorTables tables = GpuKernelPool.EnsureSmallPrimeFactorTables(accelerator);
SmallPrimeFactorScratch scratch = GpuKernelPool.EnsureSmallPrimeFactorScratch(accelerator, GpuSmallPrimeFactorSlots);
SmallPrimeFactorTables tables = GpuKernelPool.EnsureSmallPrimeFactorTables(lease.Kernels, accelerator);
SmallPrimeFactorScratch scratch = GpuKernelPool.EnsureSmallPrimeFactorScratch(lease.Kernels, accelerator, GpuSmallPrimeFactorSlots);
var kernel = lease.SmallPrimeFactorKernel;
kernel(
stream,
1,
value,
limit,
tables.PrimesView,
tables.SquaresView,
tables.Count,
scratch.PrimeSlots.View,
scratch.ExponentSlots.View,
scratch.CountSlot.View,
scratch.RemainingSlot.View);
var kernel = lease.SmallPrimeFactorKernel;
kernel(
stream,
1,
value,
limit,
tables.PrimesView,
tables.SquaresView,
tables.Count,
scratch.PrimeSlots.View,
scratch.ExponentSlots.View,
scratch.CountSlot.View,
scratch.RemainingSlot.View);
stream.Synchronize();
stream.Synchronize();
factorCount = 0;
scratch.CountSlot.View.CopyToCPU(ref factorCount, 1);
factorCount = Math.Min(factorCount, GpuSmallPrimeFactorSlots);
factorCount = 0;
scratch.CountSlot.View.CopyToCPU(ref factorCount, 1);
factorCount = Math.Min(factorCount, GpuSmallPrimeFactorSlots);
if (factorCount > 0)
{
scratch.PrimeSlots.View.CopyToCPU(ref MemoryMarshal.GetReference(primeBuffer), factorCount);
scratch.ExponentSlots.View.CopyToCPU(ref MemoryMarshal.GetReference(exponentBuffer), factorCount);
}
if (factorCount > 0)
{
scratch.PrimeSlots.View.CopyToCPU(ref MemoryMarshal.GetReference(primeBuffer), factorCount);
scratch.ExponentSlots.View.CopyToCPU(ref MemoryMarshal.GetReference(exponentBuffer), factorCount);
}
scratch.RemainingSlot.View.CopyToCPU(ref remaining, 1);
scratch.RemainingSlot.View.CopyToCPU(ref remaining, 1);
for (int i = 0; i < factorCount; i++)
{
ulong primeValue = primeBuffer[i];
int exponent = exponentBuffer[i];
counts.Add(primeValue, exponent);
}
for (int i = 0; i < factorCount; i++)
{
ulong primeValue = primeBuffer[i];
int exponent = exponentBuffer[i];
counts.Add(primeValue, exponent);
}
lease.Dispose();
ThreadStaticPools.UlongPool.Return(primeBufferArray);
ThreadStaticPools.IntPool.Return(exponentBufferArray);
return true;
}
lease.Dispose();
ThreadStaticPools.UlongPool.Return(primeBufferArray);
ThreadStaticPools.IntPool.Return(exponentBufferArray);
return true;
}
private static bool EvaluateSpecialMaxCandidatesGpu(
Span<ulong> buffer,
ReadOnlySpan<FactorEntry> factors,
ulong phi,
ulong prime,
in MontgomeryDivisorData divisorData)
{
if (factors.Length == 0)
{
return true;
}
int factorCount = factors.Length;
Span<ulong> factorSpan = buffer[..factorCount];
for (int i = 0; i < factorCount; i++)
{
factorSpan[i] = factors[i].Value;
}
var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
Accelerator accelerator = lease.Accelerator;
AcceleratorStream stream = lease.Stream;
SpecialMaxScratch scratch = GpuKernelPool.EnsureSpecialMaxScratch(lease.Kernels, accelerator, factorCapacity: factorCount);
scratch.FactorsView.SubView(0, factorCount).CopyFromCPU(ref MemoryMarshal.GetReference(factorSpan), factorCount);
var kernel = lease.SpecialMaxKernel;
kernel(
stream,
1,
phi,
scratch.FactorsView,
factorCount,
divisorData,
scratch.CandidatesView,
scratch.ResultView);
stream.Synchronize();
ushort result = 0;
scratch.ResultView.CopyToCPU(ref result, 1);
lease.Dispose();
return result != 0;
}
}
+171 -111
View File
@@ -93,50 +93,43 @@ public sealed class PrimeTester
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public bool IsPrimeGpu(ulong n)
public static bool IsPrimeGpu(ulong n)
{
// bool belowGpuRange = n < 31UL;
GpuPrimeWorkLimiter.Acquire();
var gpu = PrimeTesterGpuContextPool.Rent(1);
var accelerator = gpu.Accelerator;
var kernel = PrimeTesterGpuContextPool.PrimeTesterGpuContextLease.Kernel;
// if (belowGpuRange)
// {
return IsPrime(n);
// }
ulong value = n;
byte flag = 0;
// var limiter = GpuPrimeWorkLimiter.Acquire();
// var gpu = PrimeTesterGpuContextPool.Rent(1);
// var accelerator = gpu.Accelerator;
// var kernel = gpu.Kernel;
var input = gpu.Input;
var output = gpu.Output;
var inputView = input.View;
var outputView = output.View;
// ulong value = n;
// byte flag = 0;
inputView.CopyFromCPU(ref value, 1);
kernel(
1,
inputView,
gpu.DevicePrimesDefault.View,
gpu.DevicePrimesLastOne.View,
gpu.DevicePrimesLastSeven.View,
gpu.DevicePrimesLastThree.View,
gpu.DevicePrimesLastNine.View,
gpu.DevicePrimesPow2Default.View,
gpu.DevicePrimesPow2LastOne.View,
gpu.DevicePrimesPow2LastSeven.View,
gpu.DevicePrimesPow2LastThree.View,
gpu.DevicePrimesPow2LastNine.View,
outputView);
accelerator.Synchronize();
outputView.CopyToCPU(ref flag, 1);
// var input = gpu.Input;
// var output = gpu.Output;
// var inputView = input.View;
// var outputView = output.View;
gpu.Dispose();
GpuPrimeWorkLimiter.Release();
// inputView.CopyFromCPU(ref value, 1);
// kernel(
// 1,
// inputView,
// gpu.DevicePrimesDefault.View,
// gpu.DevicePrimesLastOne.View,
// gpu.DevicePrimesLastSeven.View,
// gpu.DevicePrimesLastThree.View,
// gpu.DevicePrimesLastNine.View,
// gpu.DevicePrimesPow2Default.View,
// gpu.DevicePrimesPow2LastOne.View,
// gpu.DevicePrimesPow2LastSeven.View,
// gpu.DevicePrimesPow2LastThree.View,
// gpu.DevicePrimesPow2LastNine.View,
// outputView);
// accelerator.Synchronize();
// outputView.CopyToCPU(ref flag, 1);
// gpu.Dispose();
// limiter.Dispose();
// return flag != 0;
return flag != 0;
}
public static int GpuBatchSize { get; set; } = 262_144;
@@ -159,18 +152,7 @@ public sealed class PrimeTester
return;
}
int toWarm = target - WarmedGpuLeaseCount;
var leases = new PrimeTesterGpuContextPool.PrimeTesterGpuContextLease[toWarm];
for (int i = 0; i < toWarm; i++)
{
leases[i] = PrimeTesterGpuContextPool.Rent(GpuBatchSize);
}
for (int i = 0; i < toWarm; i++)
{
leases[i].Dispose();
}
PrimeTesterGpuContextPool.WarmUp(target, GpuBatchSize);
WarmedGpuLeaseCount = target;
}
}
@@ -178,10 +160,10 @@ public sealed class PrimeTester
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static void IsPrimeBatchGpu(ReadOnlySpan<ulong> values, Span<byte> results)
{
var limiter = GpuPrimeWorkLimiter.Acquire();
GpuPrimeWorkLimiter.Acquire();
var gpu = PrimeTesterGpuContextPool.Rent(GpuBatchSize);
var accelerator = gpu.Accelerator;
var kernel = gpu.Kernel;
var kernel = PrimeTesterGpuContextPool.PrimeTesterGpuContextLease.Kernel;
int totalLength = values.Length;
int batchSize = GpuBatchSize;
@@ -223,30 +205,25 @@ public sealed class PrimeTester
}
gpu.Dispose();
limiter.Dispose();
GpuPrimeWorkLimiter.Release();
}
internal static class PrimeTesterGpuContextPool
{
private static readonly ConcurrentQueue<PrimeTesterGpuContextLease> Pool = new();
private static readonly object WarmUpLock = new();
private static int WarmedLeaseCount;
private static readonly object SharedTablesLock = new();
private static readonly Dictionary<string, SharedHeuristicGpuTables> SharedTables = new();
private static string CreateAcceleratorKey(Accelerator accelerator)
{
return accelerator.AcceleratorType + ":" + accelerator.Name;
}
private static readonly Dictionary<Accelerator, SharedHeuristicGpuTables> SharedTables = new(AcceleratorReferenceComparer.Instance);
private static SharedHeuristicGpuTables RentSharedTables(Accelerator accelerator)
{
string key = CreateAcceleratorKey(accelerator);
lock (SharedTablesLock)
{
if (!SharedTables.TryGetValue(key, out var tables))
if (!SharedTables.TryGetValue(accelerator, out var tables))
{
tables = new SharedHeuristicGpuTables(accelerator, key);
SharedTables.Add(key, tables);
tables = new SharedHeuristicGpuTables(accelerator);
SharedTables.Add(accelerator, tables);
}
tables.AddReference();
@@ -267,21 +244,58 @@ public sealed class PrimeTester
}
}
internal static PrimeTesterGpuContextLease Rent(int minBufferCapacity = 1)
internal static void EnsureStaticTables(KernelContainer kernels, Accelerator accelerator)
{
if (!Pool.TryDequeue(out var lease))
var tables = RentSharedTables(accelerator);
var heuristicTables = tables.CreateHeuristicDivisorTables();
HeuristicGpuDivisorTables.InitializeShared(in heuristicTables);
ReleaseSharedTables(tables);
}
internal static void WarmUp(int target, int minBufferCapacity)
{
if (target <= 0)
{
lease = new PrimeTesterGpuContextLease(minBufferCapacity);
}
else
{
lease.EnsureCapacity(minBufferCapacity);
return;
}
lease.ResetReturnFlag();
return lease;
lock (WarmUpLock)
{
if (target <= WarmedLeaseCount)
{
return;
}
KernelContainer kernels = GpuKernelPool.GetKernels();
GpuStaticTableInitializer.EnsureStaticTables(kernels, SharedGpuContext.Accelerator);
int toCreate = target - WarmedLeaseCount;
for (int i = 0; i < toCreate; i++)
{
Pool.Enqueue(new PrimeTesterGpuContextLease(minBufferCapacity));
}
kernels.Dispose();
WarmedLeaseCount = target;
}
}
internal static PrimeTesterGpuContextLease Rent(int minBufferCapacity = 1)
{
if (!Pool.TryDequeue(out var lease))
{
lease = new PrimeTesterGpuContextLease(minBufferCapacity);
}
else
{
lease.EnsureCapacity(minBufferCapacity);
}
lease.ResetReturnFlag();
return lease;
}
internal static void Return(PrimeTesterGpuContextLease lease)
{
lease.Accelerator.Synchronize();
@@ -303,7 +317,11 @@ public sealed class PrimeTester
}
SharedTables.Clear();
var emptyTables = default(HeuristicGpuDivisorTables);
HeuristicGpuDivisorTables.InitializeShared(in emptyTables);
}
WarmedLeaseCount = 0;
}
internal static void Clear(Accelerator accelerator)
@@ -313,23 +331,42 @@ public sealed class PrimeTester
return;
}
var retained = new List<PrimeTesterGpuContextLease>();
while (Pool.TryDequeue(out var lease))
lock (WarmUpLock)
{
if (lease.Accelerator == accelerator)
var retained = new List<PrimeTesterGpuContextLease>();
while (Pool.TryDequeue(out var lease))
{
lease.DisposeResources();
if (lease.Accelerator == accelerator)
{
lease.DisposeResources();
}
else
{
retained.Add(lease);
}
}
else
int retainedCount = retained.Count;
for (int i = 0; i < retainedCount; i++)
{
retained.Add(lease);
Pool.Enqueue(retained[i]);
}
WarmedLeaseCount = Pool.Count;
}
int retainedCount = retained.Count;
for (int i = 0; i < retainedCount; i++)
lock (SharedTablesLock)
{
Pool.Enqueue(retained[i]);
if (SharedTables.Remove(accelerator, out var tables))
{
tables.Dispose();
}
if (SharedTables.Count == 0)
{
var emptyTables = default(HeuristicGpuDivisorTables);
HeuristicGpuDivisorTables.InitializeShared(in emptyTables);
}
}
}
@@ -342,8 +379,11 @@ public sealed class PrimeTester
internal readonly Context AcceleratorContext;
public readonly Accelerator Accelerator;
public readonly Action<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>> Kernel;
public readonly Action<Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables> HeuristicTrialDivisionKernel;
public static readonly Action<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>> Kernel = SharedGpuContext.Accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>>(PrimeTesterKernels.SmallPrimeSieveKernel);
public static readonly Action<Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables> HeuristicTrialDivisionKernel = SharedGpuContext.Accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>(PrimeTesterKernels.HeuristicTrialDivisionKernel);
public MemoryBuffer1D<ulong, Stride1D.Dense> Input = null!;
public MemoryBuffer1D<byte, Stride1D.Dense> Output = null!;
public MemoryBuffer1D<int, Stride1D.Dense> HeuristicFlag = null!;
@@ -380,30 +420,15 @@ public sealed class PrimeTester
internal PrimeTesterGpuContextLease(int minBufferCapacity)
{
AcceleratorContext = Context.CreateDefault();
Accelerator = AcceleratorContext.GetPreferredDevice(false).CreateAccelerator(AcceleratorContext);
Kernel = Accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>>(PrimeTesterKernels.SmallPrimeSieveKernel);
HeuristicTrialDivisionKernel = Accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>(PrimeTesterKernels.HeuristicTrialDivisionKernel);
AcceleratorContext = SharedGpuContext.Context;
Accelerator = SharedGpuContext.Accelerator;
// GpuStaticTableInitializer.EnsureStaticTables(Accelerator);
// Kernel = Accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>>(PrimeTesterKernels.SmallPrimeSieveKernel);
// HeuristicTrialDivisionKernel = Accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>(PrimeTesterKernels.HeuristicTrialDivisionKernel);
_sharedTables = RentSharedTables(Accelerator);
_heuristicDivisorTables = new HeuristicGpuDivisorTables(
_sharedTables.HeuristicCombinedDivisorsEnding1.View,
_sharedTables.HeuristicCombinedDivisorsEnding3.View,
_sharedTables.HeuristicCombinedDivisorsEnding7.View,
_sharedTables.HeuristicCombinedDivisorsEnding9.View,
_sharedTables.HeuristicCombinedDivisorSquaresEnding1.View,
_sharedTables.HeuristicCombinedDivisorSquaresEnding3.View,
_sharedTables.HeuristicCombinedDivisorSquaresEnding7.View,
_sharedTables.HeuristicCombinedDivisorSquaresEnding9.View,
_sharedTables.HeuristicGroupADivisors.View,
_sharedTables.HeuristicGroupADivisorSquares.View,
_sharedTables.HeuristicGroupBDivisorsEnding1.View,
_sharedTables.HeuristicGroupBDivisorSquaresEnding1.View,
_sharedTables.HeuristicGroupBDivisorsEnding7.View,
_sharedTables.HeuristicGroupBDivisorSquaresEnding7.View,
_sharedTables.HeuristicGroupBDivisorsEnding9.View,
_sharedTables.HeuristicGroupBDivisorSquaresEnding9.View);
_heuristicDivisorTables = _sharedTables.CreateHeuristicDivisorTables();
HeuristicGpuDivisorTables.InitializeShared(in _heuristicDivisorTables);
EnsureCapacity(minBufferCapacity);
@@ -439,7 +464,7 @@ public sealed class PrimeTester
}
_returned = true;
PrimeTesterGpuContextPool.Return(this);
Return(this);
}
internal void DisposeResources()
@@ -448,8 +473,24 @@ public sealed class PrimeTester
Output?.Dispose();
HeuristicFlag?.Dispose();
ReleaseSharedTables(_sharedTables);
Accelerator.Dispose();
AcceleratorContext.Dispose();
// These resources are shared between GPU leases
// Accelerator.Dispose();
// AcceleratorContext.Dispose();
}
}
private sealed class AcceleratorReferenceComparer : IEqualityComparer<Accelerator>
{
internal static AcceleratorReferenceComparer Instance { get; } = new();
public bool Equals(Accelerator? x, Accelerator? y)
{
return ReferenceEquals(x, y);
}
public int GetHashCode(Accelerator obj)
{
return RuntimeHelpers.GetHashCode(obj);
}
}
@@ -457,9 +498,8 @@ public sealed class PrimeTester
{
private int _referenceCount;
internal SharedHeuristicGpuTables(Accelerator accelerator, string key)
internal SharedHeuristicGpuTables(Accelerator accelerator)
{
Key = key;
var primesDefault = DivisorGenerator.SmallPrimes;
DevicePrimesDefault = accelerator.Allocate1D<uint>(primesDefault.Length);
@@ -540,7 +580,6 @@ public sealed class PrimeTester
HeuristicCombinedDivisorSquaresEnding9 = CopySpanToDevice(accelerator, combinedSquaresEnding9);
}
internal string Key { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesDefault { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastOne { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastSeven { get; }
@@ -568,6 +607,27 @@ public sealed class PrimeTester
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding9 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding9 { get; }
internal HeuristicGpuDivisorTables CreateHeuristicDivisorTables()
{
return new HeuristicGpuDivisorTables(
HeuristicCombinedDivisorsEnding1.View,
HeuristicCombinedDivisorsEnding3.View,
HeuristicCombinedDivisorsEnding7.View,
HeuristicCombinedDivisorsEnding9.View,
HeuristicCombinedDivisorSquaresEnding1.View,
HeuristicCombinedDivisorSquaresEnding3.View,
HeuristicCombinedDivisorSquaresEnding7.View,
HeuristicCombinedDivisorSquaresEnding9.View,
HeuristicGroupADivisors.View,
HeuristicGroupADivisorSquares.View,
HeuristicGroupBDivisorsEnding1.View,
HeuristicGroupBDivisorSquaresEnding1.View,
HeuristicGroupBDivisorsEnding7.View,
HeuristicGroupBDivisorSquaresEnding7.View,
HeuristicGroupBDivisorsEnding9.View,
HeuristicGroupBDivisorSquaresEnding9.View);
}
internal void AddReference()
{
_referenceCount++;