Functionality and classes separated. Kernel initialization made dependent on a flag. Cleanup.

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mlemanczyk committed 2025-11-10 18:35:50 +01:00
1 parent 45dfa3b724
commit 0de9871529
20 files changed
+845 -619

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@@ -121,7 +121,7 @@ public class GpuKernelCompilationTests
private static readonly Action<Index1D, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>> MersenneDivisorCyclesKernel =
DivisorCycleKernels.GpuDivisorCycleKernel;
private static readonly Action<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>> PrimeTesterSmallPrimeKernel =
private static readonly Action<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>> PrimeTesterSmallPrimeKernel =
PrimeTesterKernels.SmallPrimeSieveKernel;
private static readonly Action<Index1D, ArrayView<ulong>, ArrayView<byte>> PrimeTesterSharesFactorKernel =
@@ -346,43 +346,44 @@ public class GpuKernelCompilationTests
_ = kernel;
}
private static void CompileGpuKernelPoolKernels(Accelerator accelerator)
{
private static KernelType _kernelType = KernelType.Pow2ModKernelScan | KernelType.OrderKernelScan | KernelType.IncrementalKernelScan | KernelType.IncrementalOrderKernelScan | KernelType.Pow2ModOrderKernelScan | KernelType.EvaluateSpecialMaxCandidatesKernel | KernelType.SmallPrimeFactorKernelScan;
private static void CompileGpuKernelPoolKernels(Accelerator accelerator)
{
GpuPrimeWorkLimiter.Acquire();
AcceleratorStream stream = accelerator.CreateStream();
try
try
{
var kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream);
_ = kernels.Order;
_ = kernels.Incremental;
_ = kernels.Pow2Mod;
_ = kernels.IncrementalOrder;
var kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream, _kernelType);
_ = kernels.Order;
_ = kernels.Incremental;
_ = kernels.Pow2Mod;
_ = kernels.IncrementalOrder;
_ = kernels.Pow2ModOrder;
}
finally
}
finally
{
stream.Synchronize();
stream.Dispose();
GpuPrimeWorkLimiter.Release();
}
GpuPrimeWorkLimiter.Release();
}
stream = accelerator.CreateStream();
GpuPrimeWorkLimiter.Acquire();
try
{
var kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream);
_ = kernels.Order;
_ = kernels.Incremental;
_ = kernels.Pow2Mod;
_ = kernels.IncrementalOrder;
_ = kernels.Pow2ModOrder;
}
finally
{
try
{
var kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream, _kernelType);
_ = kernels.Order;
_ = kernels.Incremental;
_ = kernels.Pow2Mod;
_ = kernels.IncrementalOrder;
_ = kernels.Pow2ModOrder;
}
finally
{
stream.Synchronize();
stream.Dispose();
GpuPrimeWorkLimiter.Release();
}
}
GpuPrimeWorkLimiter.Release();
}
}
}
@@ -0,0 +1,13 @@
using System.Runtime.CompilerServices;
using ILGPU.Runtime;
namespace PerfectNumbers.Core.Gpu;
internal sealed class AcceleratorReferenceComparer : IEqualityComparer<Accelerator>
{
internal static AcceleratorReferenceComparer Instance { get; } = new();
public bool Equals(Accelerator? x, Accelerator? y) => ReferenceEquals(x, y);
public int GetHashCode(Accelerator obj) => RuntimeHelpers.GetHashCode(obj);
}
@@ -0,0 +1,142 @@
using System.Collections.Concurrent;
using ILGPU;
using ILGPU.Runtime;
namespace PerfectNumbers.Core.Gpu.Accelerators;
internal sealed class HeuristicGpuTables
{
private static readonly ConcurrentDictionary<Accelerator, HeuristicGpuTables> _sharedTables = new(20_480, PerfectNumberConstants.RollingAccelerators);
internal static HeuristicGpuTables EnsureStaticTables(Accelerator accelerator, AcceleratorStream stream)
=> _sharedTables.GetOrAdd(accelerator, _ => new HeuristicGpuTables(accelerator, stream));
internal HeuristicGpuTables(Accelerator accelerator, AcceleratorStream stream)
{
// lock (accelerator)
{
var heuristicGroupA = HeuristicPrimeSieves.GroupADivisorsStorage;
HeuristicGroupADivisors = CopySpanToDevice(accelerator, stream, heuristicGroupA);
var heuristicGroupASquares = HeuristicPrimeSieves.GroupADivisorSquaresStorage;
HeuristicGroupADivisorSquares = CopySpanToDevice(accelerator, stream, heuristicGroupASquares);
HeuristicGroupBDivisorsEnding1 = CopyUintSpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesLastOneWithoutLastThree);
HeuristicGroupBDivisorSquaresEnding1 = CopySpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesPow2LastOneWithoutLastThree);
HeuristicGroupBDivisorsEnding7 = CopyUintSpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesLastSevenWithoutLastThree);
HeuristicGroupBDivisorSquaresEnding7 = CopySpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesPow2LastSevenWithoutLastThree);
HeuristicGroupBDivisorsEnding9 = CopyUintSpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesLastNineWithoutLastThree);
HeuristicGroupBDivisorSquaresEnding9 = CopySpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesPow2LastNineWithoutLastThree);
var combinedEnding1 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding1;
HeuristicCombinedDivisorsEnding1 = CopySpanToDevice(accelerator, stream, combinedEnding1);
var combinedSquaresEnding1 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding1Squares;
HeuristicCombinedDivisorSquaresEnding1 = CopySpanToDevice(accelerator, stream, combinedSquaresEnding1);
var combinedEnding3 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding3;
HeuristicCombinedDivisorsEnding3 = CopySpanToDevice(accelerator, stream, combinedEnding3);
var combinedSquaresEnding3 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding3Squares;
HeuristicCombinedDivisorSquaresEnding3 = CopySpanToDevice(accelerator, stream, combinedSquaresEnding3);
var combinedEnding7 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding7;
HeuristicCombinedDivisorsEnding7 = CopySpanToDevice(accelerator, stream, combinedEnding7);
var combinedSquaresEnding7 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding7Squares;
HeuristicCombinedDivisorSquaresEnding7 = CopySpanToDevice(accelerator, stream, combinedSquaresEnding7);
var combinedEnding9 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding9;
HeuristicCombinedDivisorsEnding9 = CopySpanToDevice(accelerator, stream, combinedEnding9);
var combinedSquaresEnding9 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding9Squares;
HeuristicCombinedDivisorSquaresEnding9 = CopySpanToDevice(accelerator, stream, combinedSquaresEnding9);
}
}
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupADivisors;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupADivisorSquares;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding1;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding1;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding7;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding7;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding9;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding9;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding1;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding1;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding3;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding3;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding7;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding7;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding9;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding9;
internal HeuristicGpuDivisorTables CreateHeuristicDivisorTables() => new(
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);
private static MemoryBuffer1D<ulong, Stride1D.Dense> CopySpanToDevice(Accelerator accelerator, AcceleratorStream stream, in ulong[] span)
{
MemoryBuffer1D<ulong, Stride1D.Dense>? buffer;
// lock (accelerator)
{
buffer = accelerator.Allocate1D(stream, span);
}
return buffer;
}
private static MemoryBuffer1D<ulong, Stride1D.Dense> CopyUintSpanToDevice(Accelerator accelerator, AcceleratorStream stream, ReadOnlySpan<uint> span)
{
MemoryBuffer1D<ulong, Stride1D.Dense>? buffer;
// lock (accelerator)
{
buffer = accelerator.Allocate1D<ulong>(span.Length);
}
if (!span.IsEmpty)
{
var converted = new ulong[span.Length];
for (int i = 0; i < span.Length; i++)
{
converted[i] = span[i];
}
buffer.View.CopyFromCPU(stream, converted);
}
return buffer;
}
internal void Dispose()
{
HeuristicGroupADivisors.Dispose();
HeuristicGroupADivisorSquares.Dispose();
HeuristicGroupBDivisorsEnding1.Dispose();
HeuristicGroupBDivisorSquaresEnding1.Dispose();
HeuristicGroupBDivisorsEnding7.Dispose();
HeuristicGroupBDivisorSquaresEnding7.Dispose();
HeuristicGroupBDivisorsEnding9.Dispose();
HeuristicGroupBDivisorSquaresEnding9.Dispose();
HeuristicCombinedDivisorsEnding1.Dispose();
HeuristicCombinedDivisorSquaresEnding1.Dispose();
HeuristicCombinedDivisorsEnding3.Dispose();
HeuristicCombinedDivisorSquaresEnding3.Dispose();
HeuristicCombinedDivisorsEnding7.Dispose();
HeuristicCombinedDivisorSquaresEnding7.Dispose();
HeuristicCombinedDivisorsEnding9.Dispose();
HeuristicCombinedDivisorSquaresEnding9.Dispose();
}
}
@@ -0,0 +1,208 @@
using System.Runtime.CompilerServices;
using ILGPU;
using ILGPU.Runtime;
namespace PerfectNumbers.Core.Gpu.Accelerators;
internal sealed class HeuristicPrimeTesterAccelerator
{
#region Pool
[ThreadStatic]
private static Queue<HeuristicPrimeTesterAccelerator>? Pool;
internal static void WarmUp()
{
Accelerator[]? accelerators = AcceleratorPool.Shared.Accelerators;
int acceleratorCount = accelerators.Length;
Span<AcceleratorStream> streams = new(new AcceleratorStream[acceleratorCount]);
for (var i = 0; i < acceleratorCount; i++)
{
Console.WriteLine($"Preparing heuristic accelerator {i}...");
var accelerator = accelerators[i];
AcceleratorStream stream = accelerator.CreateStream();
Accelerators.HeuristicGpuTables.EnsureStaticTables(accelerator, stream);
// _ = GpuKernelPool.GetOrAddKernels(accelerator, stream, KernelType.None);
// KernelContainer kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream);
// GpuStaticTableInitializer.EnsureStaticTables(accelerator, kernels, stream);
streams[i] = stream;
}
for (var i = 0; i < acceleratorCount; i++)
{
AcceleratorStream stream = streams[i];
stream.Synchronize();
stream.Dispose();
Console.WriteLine($"Heuristic accelerator {i} is ready");
}
}
internal static HeuristicPrimeTesterAccelerator Rent(int minBufferCapacity = 1)
{
var pool = Pool ??= new();
if (!pool.TryDequeue(out var lease))
{
lease = new HeuristicPrimeTesterAccelerator(minBufferCapacity);
}
else
{
lease.EnsureCapacity(minBufferCapacity);
}
return lease;
}
internal static void Return(HeuristicPrimeTesterAccelerator lease)
{
var pool = Pool ??= new();
pool.Enqueue(lease);
}
internal static void DisposeAll()
{
if (Pool != null)
{
while (Pool.TryDequeue(out var lease))
{
lease.DisposeResources();
}
}
}
internal static void Clear()
{
if (Pool != null)
{
var retained = new List<HeuristicPrimeTesterAccelerator>();
while (Pool.TryDequeue(out var lease))
{
lease.DisposeResources();
}
}
}
#endregion
private readonly HeuristicGpuDivisorTables _heuristicDivisorTables;
internal readonly Context Context;
public readonly Accelerator Accelerator;
public AcceleratorStream? Stream;
[ThreadStatic]
public static Dictionary<Accelerator, Action<AcceleratorStream, Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>>>? SmallPrimeSieveKernel;
internal static Action<AcceleratorStream, Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>> GetSmallPrimeSieveKernel(Accelerator accelerator)
{
var pool = SmallPrimeSieveKernel ??= [];
if (pool.TryGetValue(accelerator, out var cached))
{
return cached;
}
cached = KernelUtil.GetKernel(accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>>(PrimeTesterKernels.SmallPrimeSieveKernel)).CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>>>();
pool[accelerator] = cached;
return cached;
}
[ThreadStatic]
public static Dictionary<Accelerator, Action<AcceleratorStream, Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>>? HeuristicTrialDivisionKernel;
internal static Action<AcceleratorStream, Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables> GetHeuristicTrialDivisionKernel(Accelerator accelerator)
{
var pool = HeuristicTrialDivisionKernel ??= [];
if (pool.TryGetValue(accelerator, out var cached))
{
return cached;
}
cached = KernelUtil.GetKernel(accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>(PrimeTesterKernels.HeuristicTrialDivisionKernel)).CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>>();
pool[accelerator] = cached;
return cached;
}
public MemoryBuffer1D<ulong, Stride1D.Dense> Input = null!;
public MemoryBuffer1D<byte, Stride1D.Dense> Output = null!;
public MemoryBuffer1D<int, Stride1D.Dense> HeuristicFlag = null!;
public int BufferCapacity;
private HeuristicGpuTables _sharedTables;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupADivisors => _sharedTables.HeuristicGroupADivisors;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupADivisorSquares => _sharedTables.HeuristicGroupADivisorSquares;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding1 => _sharedTables.HeuristicGroupBDivisorsEnding1;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding1 => _sharedTables.HeuristicGroupBDivisorSquaresEnding1;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding7 => _sharedTables.HeuristicGroupBDivisorsEnding7;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding7 => _sharedTables.HeuristicGroupBDivisorSquaresEnding7;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding9 => _sharedTables.HeuristicGroupBDivisorsEnding9;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding9 => _sharedTables.HeuristicGroupBDivisorSquaresEnding9;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding1 => _sharedTables.HeuristicCombinedDivisorsEnding1;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding1 => _sharedTables.HeuristicCombinedDivisorSquaresEnding1;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding3 => _sharedTables.HeuristicCombinedDivisorsEnding3;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding3 => _sharedTables.HeuristicCombinedDivisorSquaresEnding3;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding7 => _sharedTables.HeuristicCombinedDivisorsEnding7;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding7 => _sharedTables.HeuristicCombinedDivisorSquaresEnding7;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding9 => _sharedTables.HeuristicCombinedDivisorsEnding9;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding9 => _sharedTables.HeuristicCombinedDivisorSquaresEnding9;
public HeuristicGpuDivisorTables HeuristicGpuTables => _heuristicDivisorTables;
internal HeuristicPrimeTesterAccelerator(int minBufferCapacity)
{
Accelerator accelerator = AcceleratorPool.Shared.Rent();
Context = accelerator.Context;
Accelerator = accelerator;
AcceleratorStream stream = accelerator.CreateStream();
// var kernels = _kernels[index]; //GpuKernelPool.Kernels;
// GpuStaticTableInitializer.EnsureStaticTables(accelerator, kernels, stream);
_sharedTables = Accelerators.HeuristicGpuTables.EnsureStaticTables(accelerator, stream);
var heuristicDivisorTables = _sharedTables.CreateHeuristicDivisorTables();
_heuristicDivisorTables = heuristicDivisorTables;
EnsureCapacity(minBufferCapacity);
stream.Synchronize();
stream.Dispose();
}
public void EnsureCapacity(int minCapacity)
{
if (minCapacity <= BufferCapacity)
{
return;
}
Input?.Dispose();
Output?.Dispose();
HeuristicFlag?.Dispose();
// lock (Accelerator)
{
Input = Accelerator.Allocate1D<ulong>(minCapacity);
Output = Accelerator.Allocate1D<byte>(minCapacity);
HeuristicFlag = Accelerator.Allocate1D<int>(minCapacity);
}
BufferCapacity = minCapacity;
}
public void Dispose()
{
Stream?.Dispose();
Stream = null;
Return(this);
}
internal void DisposeResources()
{
Input?.Dispose();
Output?.Dispose();
HeuristicFlag?.Dispose();
Stream?.Dispose();
Stream = null;
// ReleaseSharedTables(_sharedTables);
// These resources are shared between GPU leases
// Accelerator.Dispose();
// AcceleratorContext.Dispose();
}
}
@@ -0,0 +1,58 @@
using System.Collections.Concurrent;
using ILGPU;
using ILGPU.Runtime;
namespace PerfectNumbers.Core.Gpu.Accelerators;
internal sealed class LastDigitGpuTables
{
private static readonly ConcurrentDictionary<Accelerator, LastDigitGpuTables> _sharedTables = new(20_480, PerfectNumberConstants.RollingAccelerators);
internal static LastDigitGpuTables EnsureStaticTables(Accelerator accelerator, AcceleratorStream stream)
=> _sharedTables.GetOrAdd(accelerator, _ => new LastDigitGpuTables(accelerator, stream));
internal LastDigitGpuTables(Accelerator accelerator, AcceleratorStream stream)
{
var primesLastOne = DivisorGenerator.SmallPrimesLastOne;
var primesLastSeven = DivisorGenerator.SmallPrimesLastSeven;
var primesLastThree = DivisorGenerator.SmallPrimesLastThree;
var primesLastNine = DivisorGenerator.SmallPrimesLastNine;
var primesPow2LastOne = DivisorGenerator.SmallPrimesPow2LastOne;
var primesPow2LastSeven = DivisorGenerator.SmallPrimesPow2LastSeven;
var primesPow2LastThree = DivisorGenerator.SmallPrimesPow2LastThree;
var primesPow2LastNine = DivisorGenerator.SmallPrimesPow2LastNine;
// lock (accelerator)
{
DevicePrimesLastOne = accelerator.Allocate1D(stream, primesLastOne);
DevicePrimesLastSeven = accelerator.Allocate1D(stream, primesLastSeven);
DevicePrimesLastThree = accelerator.Allocate1D(stream, primesLastThree);
DevicePrimesLastNine = accelerator.Allocate1D(stream, primesLastNine);
DevicePrimesPow2LastOne = accelerator.Allocate1D(stream, primesPow2LastOne);
DevicePrimesPow2LastSeven = accelerator.Allocate1D(stream, primesPow2LastSeven);
DevicePrimesPow2LastThree = accelerator.Allocate1D(stream, primesPow2LastThree);
DevicePrimesPow2LastNine = accelerator.Allocate1D(stream, primesPow2LastNine);
}
}
internal readonly MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastOne;
internal readonly MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastSeven;
internal readonly MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastThree;
internal readonly MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastNine;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastOne;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastSeven;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastThree;
internal readonly MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastNine;
internal void Dispose()
{
DevicePrimesLastOne.Dispose();
DevicePrimesLastSeven.Dispose();
DevicePrimesLastThree.Dispose();
DevicePrimesLastNine.Dispose();
DevicePrimesPow2LastOne.Dispose();
DevicePrimesPow2LastSeven.Dispose();
DevicePrimesPow2LastThree.Dispose();
DevicePrimesPow2LastNine.Dispose();
}
}
@@ -44,8 +44,8 @@ public sealed class Pow2MontgomeryAccelerator
public readonly Accelerator Accelerator;
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> Input;
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> Output;
public MemoryBuffer1D<KeyValuePair<ulong, int>, Stride1D.Dense> ToTestOnDevice;
public Dictionary<ulong, int> ToTestOnHost = [];
public MemoryBuffer1D<KeyValuePair<ulong, int>, Stride1D.Dense> Pow2ModEntriesToTestOnDevice;
public Dictionary<ulong, int> Pow2ModEntriesToTestOnHost = [];
public AcceleratorStream? Stream;
public readonly Action<AcceleratorStream, Index1D, ArrayView1D<ulong, Stride1D.Dense>, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>> ConvertToStandardKernel;
@@ -55,11 +55,11 @@ public sealed class Pow2MontgomeryAccelerator
public void EnsureCapacity(int factorsCount)
{
if (factorsCount > ToTestOnDevice.Length)
if (factorsCount > Pow2ModEntriesToTestOnDevice.Length)
{
Accelerator accelerator = Accelerator;
ToTestOnDevice.Dispose();
ToTestOnDevice = accelerator.Allocate1D<KeyValuePair<ulong, int>>(factorsCount);
Pow2ModEntriesToTestOnDevice.Dispose();
Pow2ModEntriesToTestOnDevice = accelerator.Allocate1D<KeyValuePair<ulong, int>>(factorsCount);
}
}
@@ -70,7 +70,7 @@ public sealed class Pow2MontgomeryAccelerator
Input = accelerator.Allocate1D<ulong>(1);
Output = accelerator.Allocate1D<ulong>(1);
ToTestOnDevice = accelerator.Allocate1D<KeyValuePair<ulong, int>>(factorsCount);
Pow2ModEntriesToTestOnDevice = accelerator.Allocate1D<KeyValuePair<ulong, int>>(factorsCount);
var keepKernel = accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView1D<ulong, Stride1D.Dense>, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>>(Pow2MontgomeryKernels.Pow2MontgomeryKernelKeepMontgomery);
var keepLauncher = KernelUtil.GetKernel(keepKernel);
@@ -91,7 +91,7 @@ public sealed class Pow2MontgomeryAccelerator
Input.Dispose();
Output.Dispose();
Stream?.Dispose();
ToTestOnDevice.Dispose();
Pow2ModEntriesToTestOnDevice.Dispose();
// Accelerator is shared with other threads
// Accelerator.Dispose();
}
@@ -0,0 +1,192 @@
using System.Runtime.CompilerServices;
using ILGPU;
using ILGPU.Runtime;
namespace PerfectNumbers.Core.Gpu.Accelerators;
internal sealed class PrimeTesterByLastDigitAccelerator
{
#region Pool
[ThreadStatic]
private static Queue<PrimeTesterByLastDigitAccelerator>? Pool;
// internal static void EnsureStaticTables(Accelerator accelerator)
// {
// var tables = CreateSharedTables(accelerator);
// }
internal static void WarmUp()
{
Accelerator[]? accelerators = AcceleratorPool.Shared.Accelerators;
int acceleratorCount = accelerators.Length;
Span<AcceleratorStream> streams = new(new AcceleratorStream[acceleratorCount]);
for (var i = 0; i < acceleratorCount; i++)
{
Console.WriteLine($"Preparing accelerator {i}...");
var accelerator = accelerators[i];
AcceleratorStream stream = accelerator.CreateStream();
LastDigitGpuTables.EnsureStaticTables(accelerator, stream);
// SharedHeuristicGpuTables.EnsureStaticTables(accelerator, stream);
// _ = GpuKernelPool.GetOrAddKernels(accelerator, stream, KernelType.None);
// KernelContainer kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream);
// GpuStaticTableInitializer.EnsureStaticTables(accelerator, kernels, stream);
streams[i] = stream;
}
for (var i = 0; i < acceleratorCount; i++)
{
AcceleratorStream stream = streams[i];
stream.Synchronize();
stream.Dispose();
Console.WriteLine($"Accelerator {i} is ready");
}
}
internal static PrimeTesterByLastDigitAccelerator Rent(int minBufferCapacity = 1)
{
var pool = Pool ??= new();
if (!pool.TryDequeue(out var lease))
{
lease = new PrimeTesterByLastDigitAccelerator(minBufferCapacity);
}
else
{
lease.EnsureCapacity(minBufferCapacity);
}
return lease;
}
internal static void Return(PrimeTesterByLastDigitAccelerator lease)
{
var pool = Pool ??= new();
pool.Enqueue(lease);
}
internal static void DisposeAll()
{
if (Pool != null)
{
while (Pool.TryDequeue(out var lease))
{
lease.DisposeResources();
}
}
}
internal static void Clear()
{
if (Pool != null)
{
var retained = new List<PrimeTesterByLastDigitAccelerator>();
while (Pool.TryDequeue(out var lease))
{
lease.DisposeResources();
}
}
}
#endregion
private readonly LastDigitGpuTables _sharedTables;
internal readonly Context Context;
public readonly Accelerator Accelerator;
private AcceleratorStream? _stream;
public AcceleratorStream Stream
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _stream ?? Accelerator.CreateStream();
}
[ThreadStatic]
public static Dictionary<Accelerator, Action<AcceleratorStream, Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>>>? SmallPrimeSieveKernel;
internal static Action<AcceleratorStream, Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>> GetSmallPrimeSieveKernel(Accelerator accelerator)
{
var pool = SmallPrimeSieveKernel ??= [];
if (pool.TryGetValue(accelerator, out var cached))
{
return cached;
}
cached = KernelUtil.GetKernel(accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>>(PrimeTesterKernels.SmallPrimeSieveKernel)).CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ArrayView<ulong>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<uint>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>>>();
pool[accelerator] = cached;
return cached;
}
[ThreadStatic]
public static Dictionary<Accelerator, Action<AcceleratorStream, Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>>? HeuristicTrialDivisionKernel;
public MemoryBuffer1D<ulong, Stride1D.Dense> Input = null!;
public MemoryBuffer1D<byte, Stride1D.Dense> Output = null!;
public MemoryBuffer1D<int, Stride1D.Dense> HeuristicFlag = null!;
public int BufferCapacity;
public MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastOne => _sharedTables.DevicePrimesLastOne;
public MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastSeven => _sharedTables.DevicePrimesLastSeven;
public MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastThree => _sharedTables.DevicePrimesLastThree;
public MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastNine => _sharedTables.DevicePrimesLastNine;
public MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastOne => _sharedTables.DevicePrimesPow2LastOne;
public MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastSeven => _sharedTables.DevicePrimesPow2LastSeven;
public MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastThree => _sharedTables.DevicePrimesPow2LastThree;
public MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastNine => _sharedTables.DevicePrimesPow2LastNine;
internal PrimeTesterByLastDigitAccelerator(int minBufferCapacity)
{
Accelerator accelerator = AcceleratorPool.Shared.Rent();
Context = accelerator.Context;
Accelerator = accelerator;
AcceleratorStream stream = accelerator.CreateStream();
var sharedTables = LastDigitGpuTables.EnsureStaticTables(accelerator, stream);
_sharedTables = sharedTables;
EnsureCapacity(minBufferCapacity);
stream.Synchronize();
stream.Dispose();
}
public void EnsureCapacity(int minCapacity)
{
if (minCapacity <= BufferCapacity)
{
return;
}
Input?.Dispose();
Output?.Dispose();
HeuristicFlag?.Dispose();
// lock (Accelerator)
{
Input = Accelerator.Allocate1D<ulong>(minCapacity);
Output = Accelerator.Allocate1D<byte>(minCapacity);
HeuristicFlag = Accelerator.Allocate1D<int>(minCapacity);
}
BufferCapacity = minCapacity;
}
public void Dispose()
{
_stream?.Dispose();
_stream = null;
Return(this);
}
internal void DisposeResources()
{
Input?.Dispose();
Output?.Dispose();
HeuristicFlag?.Dispose();
_stream?.Dispose();
_stream = null;
// ReleaseSharedTables(_sharedTables);
// These resources are shared between GPU leases
// Accelerator.Dispose();
// AcceleratorContext.Dispose();
}
}
+132 -67
View File
@@ -19,91 +19,156 @@ public class GpuKernelPool
return Interlocked.CompareExchange(ref target, newValue, null) ?? newValue;
}
internal static KernelContainer GetOrAddKernels(Accelerator accelerator, AcceleratorStream stream)
internal static KernelContainer GetOrAddKernels(Accelerator accelerator, AcceleratorStream stream, KernelType kernelType)
{
var pool = _pool ??= [];
if (pool.TryGetValue(accelerator, out var kernelContainer))
if (!pool.TryGetValue(accelerator, out var kernels))
{
return kernelContainer;
kernels = new KernelContainer();
}
var kernels = new KernelContainer();
InitOnce(ref kernels.Order, () =>
if (kernelType.HasFlag(KernelType.OrderKernelScan))
{
var loaded = accelerator.LoadAutoGroupedStreamKernel<Index1D, ulong, ulong, ArrayView<GpuUInt128>, ArrayView<ulong>>(OrderKernels.OrderKernelScan);
InitOrderKernelScan(accelerator, kernels);
}
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, ulong, ArrayView<GpuUInt128>, ArrayView<ulong>>>();
});
InitOnce(ref kernels.Pow2Mod, () =>
if (kernelType.HasFlag(KernelType.Pow2ModKernelScan))
{
var loaded = accelerator.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);
InitPow2ModKernelScan(accelerator, kernels);
}
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<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>>>();
});
InitOnce(ref kernels.Incremental, () =>
if (kernelType.HasFlag(KernelType.IncrementalKernelScan))
{
var loaded = accelerator.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ulong, ulong, ulong, ulong, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>>(IncrementalKernels.IncrementalKernelScan);
InitIncrementalKernelScan(accelerator, kernels);
}
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ulong, ulong, ulong, ulong, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>>>();
});
InitOnce(ref kernels.IncrementalOrder, () =>
if (kernelType.HasFlag(KernelType.IncrementalOrderKernelScan))
{
var loaded = accelerator.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>(IncrementalKernels.IncrementalOrderKernelScan);
IncrementalOrderKernelScan(accelerator, kernels);
}
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte,
ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>>();
});
InitOnce(ref kernels.Pow2ModOrder, () =>
if (kernelType.HasFlag(KernelType.Pow2ModOrderKernelScan))
{
var loaded = accelerator.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>(Pow2ModKernels.Pow2ModOrderKernelScan);
InitPow2ModOrderKernelScan(accelerator, kernels);
}
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>>();
});
InitOnce(ref kernels.SpecialMax, () =>
if (kernelType.HasFlag(KernelType.EvaluateSpecialMaxCandidatesKernel))
{
var loaded = accelerator.LoadAutoGroupedStreamKernel<Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>(PrimeOrderGpuHeuristics.EvaluateSpecialMaxCandidatesKernel);
InitEvaluateSpecialMaxCandidatesKernel(accelerator, kernels);
}
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>>();
});
InitOnce(ref kernels.SmallPrimeFactor, () =>
if (kernelType.HasFlag(KernelType.SmallPrimeFactorKernelScan))
{
var loaded = accelerator.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);
InitSmallPrimeFactorKernelScan(accelerator, kernels);
}
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<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>>>();
});
PreloadStaticTables(accelerator, kernels, stream);
PreloadStaticTables(accelerator, kernels, stream, kernelType);
pool[accelerator] = kernels;
return kernels;
static void InitOrderKernelScan(Accelerator accelerator, KernelContainer kernels)
{
InitOnce(ref kernels.Order, () =>
{
var loaded = accelerator.LoadAutoGroupedStreamKernel<Index1D, ulong, ulong, ArrayView<GpuUInt128>, ArrayView<ulong>>(OrderKernels.OrderKernelScan);
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, ulong, ArrayView<GpuUInt128>, ArrayView<ulong>>>();
});
}
static void InitPow2ModKernelScan(Accelerator accelerator, KernelContainer kernels)
{
InitOnce(ref kernels.Pow2Mod, () =>
{
var loaded = accelerator.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);
return kernel.CreateLauncherDelegate<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>>>();
});
}
static void InitIncrementalKernelScan(Accelerator accelerator, KernelContainer kernels)
{
InitOnce(ref kernels.Incremental, () =>
{
var loaded = accelerator.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ulong, ulong, ulong, ulong, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>>(IncrementalKernels.IncrementalKernelScan);
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ulong, ulong, ulong, ulong, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>>>();
});
}
static void IncrementalOrderKernelScan(Accelerator accelerator, KernelContainer kernels)
{
InitOnce(ref kernels.IncrementalOrder, () =>
{
var loaded = accelerator.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>(IncrementalKernels.IncrementalOrderKernelScan);
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte,
ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>>();
});
}
static void InitPow2ModOrderKernelScan(Accelerator accelerator, KernelContainer kernels)
{
InitOnce(ref kernels.Pow2ModOrder, () =>
{
var loaded = accelerator.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>(Pow2ModKernels.Pow2ModOrderKernelScan);
var kernel = KernelUtil.GetKernel(loaded);
return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>>();
});
}
static void InitEvaluateSpecialMaxCandidatesKernel(Accelerator accelerator, KernelContainer kernels)
{
InitOnce(ref kernels.SpecialMax, () =>
{
var loaded = accelerator.LoadAutoGroupedStreamKernel<Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, 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<ulong, Stride1D.Dense>>>();
});
}
static void InitSmallPrimeFactorKernelScan(Accelerator accelerator, KernelContainer kernels)
{
InitOnce(ref kernels.SmallPrimeFactor, () =>
{
var loaded = accelerator.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);
return kernel.CreateLauncherDelegate<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>>>();
});
}
}
internal static void PreloadStaticTables(Accelerator accelerator, KernelContainer kernels, AcceleratorStream stream)
internal static void PreloadStaticTables(Accelerator accelerator, KernelContainer kernels, AcceleratorStream stream, KernelType kernelType)
{
EnsureSmallCyclesOnDevice(accelerator, kernels, stream);
EnsureSmallPrimesOnDevice(accelerator, kernels, stream);
EnsureSmallPrimeFactorTables(accelerator, kernels, stream);
if (kernelType.HasFlag(KernelType.SmallCycles))
{
EnsureSmallCyclesOnDevice(accelerator, kernels, stream);
}
if (kernelType.HasFlag(KernelType.SmallPrimes))
{
EnsureSmallPrimesOnDevice(accelerator, kernels, stream);
}
if (kernelType.HasFlag(KernelType.SmallPrimeFactorKernelScan))
{
EnsureSmallPrimeFactorTables(accelerator, kernels, stream);
}
}
public static ArrayView1D<ulong, Stride1D.Dense> GetSmallCyclesOnDevice(KernelContainer kernels) => kernels.SmallCycles!;
@@ -166,12 +231,12 @@ public class GpuKernelPool
// lock (accelerator)
// {
deviceLastOne = accelerator.Allocate1D<uint>(hostLastOne.Length);
deviceLastSeven = accelerator.Allocate1D<uint>(hostLastSeven.Length);
deviceLastOnePow2 = accelerator.Allocate1D<ulong>(hostLastOnePow2.Length);
deviceLastSevenPow2 = accelerator.Allocate1D<ulong>(hostLastSevenPow2.Length);
deviceLastOne = accelerator.Allocate1D<uint>(hostLastOne.Length);
deviceLastSeven = accelerator.Allocate1D<uint>(hostLastSeven.Length);
deviceLastOnePow2 = accelerator.Allocate1D<ulong>(hostLastOnePow2.Length);
deviceLastSevenPow2 = accelerator.Allocate1D<ulong>(hostLastSevenPow2.Length);
// }
deviceLastOne.View.CopyFromCPU(stream, hostLastOne);
deviceLastSeven.View.CopyFromCPU(stream, hostLastSeven);
deviceLastOnePow2.View.CopyFromCPU(stream, hostLastOnePow2);
@@ -186,7 +251,7 @@ public class GpuKernelPool
kernels.SmallPrimeFactorsPrimes!,
kernels.SmallPrimeFactorsSquares!
);
private static void EnsureSmallPrimeFactorTables(Accelerator accelerator, KernelContainer kernels, AcceleratorStream stream)
{
if (kernels.SmallPrimeFactorsPrimes is { } && kernels.SmallPrimeFactorsSquares is { })
@@ -206,7 +271,7 @@ public class GpuKernelPool
devicePrimes = accelerator.Allocate1D<uint>(length);
deviceSquares = accelerator.Allocate1D<ulong>(length);
}
devicePrimes.View.CopyFromCPU(stream, hostPrimes);
deviceSquares.View.CopyFromCPU(stream, hostSquares);
@@ -8,7 +8,7 @@ internal static class GpuStaticTableInitializer
internal static void EnsureStaticTables(Accelerator accelerator, KernelContainer kernels, AcceleratorStream stream)
{
// PrimeTester.PrimeTesterGpuContextPool.EnsureStaticTables(accelerator);
GpuKernelPool.PreloadStaticTables(accelerator, kernels, stream);
GpuKernelPool.PreloadStaticTables(accelerator, kernels, stream, KernelType.None);
// PrimeOrderGpuHeuristics.PreloadStaticTables(accelerator, stream);
}
+16
View File
@@ -0,0 +1,16 @@
namespace PerfectNumbers.Core.Gpu;
[Flags]
public enum KernelType
{
None,
SmallCycles,
SmallPrimes,
Pow2ModKernelScan,
OrderKernelScan,
IncrementalKernelScan,
IncrementalOrderKernelScan,
Pow2ModOrderKernelScan,
EvaluateSpecialMaxCandidatesKernel,
SmallPrimeFactorKernelScan
}
@@ -20,12 +20,10 @@ internal static class PrimeTesterKernels
public static void SmallPrimeSieveKernel(
Index1D index,
ArrayView<ulong> numbers,
ArrayView<uint> smallPrimes,
ArrayView<uint> smallPrimesLastOne,
ArrayView<uint> smallPrimesLastSeven,
ArrayView<uint> smallPrimesLastThree,
ArrayView<uint> smallPrimesLastNine,
ArrayView<ulong> smallPrimesPow2,
ArrayView<ulong> smallPrimesPow2LastOne,
ArrayView<ulong> smallPrimesPow2LastSeven,
ArrayView<ulong> smallPrimesPow2LastThree,
@@ -35,8 +33,8 @@ internal static class PrimeTesterKernels
ulong n = numbers[index];
byte result = 1;
ArrayView<uint> primes = smallPrimes;
ArrayView<ulong> primeSquares = smallPrimesPow2;
ArrayView<uint> primes;
ArrayView<ulong> primeSquares;
ulong lastDigit = n % 10UL;
switch (lastDigit)
{
@@ -55,7 +53,9 @@ internal static class PrimeTesterKernels
case 9UL:
primes = smallPrimesLastNine;
primeSquares = smallPrimesPow2LastNine;
break;
break;
default:
return;
}
int length = (int)primes.Length;
@@ -24,7 +24,7 @@ public class MersenneNumberIncrementalGpuTester(GpuKernelType kernelType, bool u
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
KernelContainer kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream);
KernelContainer kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream, KernelType.Pow2ModKernelScan | KernelType.IncrementalKernelScan);
var pow2Kernel = kernels.Pow2Mod!;
var incKernel = kernels.Incremental!;
ulong step10 = (exponent.Mod10() << 1).Mod10();
@@ -18,7 +18,7 @@ public class MersenneNumberOrderGpuTester(GpuKernelType kernelType, bool useGpuO
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
KernelContainer kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream);
KernelContainer kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream, KernelType.Pow2ModOrderKernelScan | KernelType.IncrementalOrderKernelScan);
var kernel = _kernelType switch
{
GpuKernelType.Pow2Mod => kernels.Pow2ModOrder!,
@@ -33,7 +33,7 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
var stream = accelerator.CreateStream();
var kernel = GetPow2ModKernel(accelerator);
var resources = RentResources(accelerator, GpuConstants.ScanBatchSize);
var gpuKernels = GpuKernelPool.GetOrAddKernels(accelerator, stream);
var gpuKernels = GpuKernelPool.GetOrAddKernels(accelerator, stream, KernelType.SmallCycles | KernelType.SmallPrimes);
var orderBuffer = resources.OrderBuffer;
ulong[] orderArray = resources.OrderArray;
@@ -2,6 +2,7 @@ using Open.Numeric.Primes;
using ILGPU.Runtime;
using System.Runtime.CompilerServices;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
namespace PerfectNumbers.Core;
@@ -77,10 +78,10 @@ public sealed class HeuristicCombinedPrimeTester
private static readonly ulong[] CombinedDivisorsEnding7ThreeATwoB;
private static readonly ulong[] CombinedDivisorsEnding9ThreeATwoB;
private static readonly ulong[] CombinedDivisorsEnding1;
private static readonly ulong[] CombinedDivisorsEnding3;
private static readonly ulong[] CombinedDivisorsEnding7;
private static readonly ulong[] CombinedDivisorsEnding9;
internal static readonly ulong[] CombinedDivisorsEnding1;
internal static readonly ulong[] CombinedDivisorsEnding3;
internal static readonly ulong[] CombinedDivisorsEnding7;
internal static readonly ulong[] CombinedDivisorsEnding9;
private static readonly ulong[] CombinedDivisorsEnding1TwoAOneBSquares;
private static readonly ulong[] CombinedDivisorsEnding3TwoAOneBSquares;
@@ -102,10 +103,10 @@ public sealed class HeuristicCombinedPrimeTester
private static readonly ulong[] CombinedDivisorsEnding7ThreeATwoBSquares;
private static readonly ulong[] CombinedDivisorsEnding9ThreeATwoBSquares;
private static readonly ulong[] CombinedDivisorsEnding1Squares;
private static readonly ulong[] CombinedDivisorsEnding3Squares;
private static readonly ulong[] CombinedDivisorsEnding7Squares;
private static readonly ulong[] CombinedDivisorsEnding9Squares;
internal static readonly ulong[] CombinedDivisorsEnding1Squares;
internal static readonly ulong[] CombinedDivisorsEnding3Squares;
internal static readonly ulong[] CombinedDivisorsEnding7Squares;
internal static readonly ulong[] CombinedDivisorsEnding9Squares;
private static readonly ulong[] HeuristicSmallCycleSnapshot = MersenneDivisorCycles.Shared.ExportSmallCyclesSnapshot();
@@ -223,11 +224,10 @@ public sealed class HeuristicCombinedPrimeTester
private static bool HeuristicTrialDivisionGpuDetectsDivisor(ulong n, ulong maxDivisorSquare, byte nMod10)
{
GpuPrimeWorkLimiter.Acquire();
var gpu = PrimeTester.PrimeTesterGpuContextPool.Rent(1);
var gpu = HeuristicPrimeTesterAccelerator.Rent(1);
var accelerator = gpu.Accelerator;
var stream = gpu.Stream;
var kernel = PrimeTester.PrimeTesterGpuContextPool.PrimeTesterGpuContextLease.GetHeuristicTrialDivisionKernel(accelerator);
var kernel = HeuristicPrimeTesterAccelerator.GetHeuristicTrialDivisionKernel(accelerator);
var flagView1D = gpu.HeuristicFlag.View;
var flagView = flagView1D.AsContiguous();
@@ -236,6 +236,10 @@ public sealed class HeuristicCombinedPrimeTester
int compositeFlag = 0;
flagView1D.CopyFromCPU(stream, ref compositeFlag, 1);
stream!.Synchronize();
GpuPrimeWorkLimiter.Acquire();
kernel(
stream,
divisorLength,
@@ -247,10 +251,10 @@ public sealed class HeuristicCombinedPrimeTester
flagView1D.CopyToCPU(stream, ref compositeFlag, 1);
stream.Synchronize();
compositeDetected = compositeFlag != 0;
gpu.Dispose();
GpuPrimeWorkLimiter.Release();
compositeDetected = compositeFlag != 0;
HeuristicPrimeTesterAccelerator.Return(gpu);
return compositeDetected;
}
+2 -2
View File
@@ -15,8 +15,8 @@ public static class HeuristicPrimeSieves
private static readonly ushort[] GroupBResiduesEnding7 = [17, 37, 47, 67, 97, 107, 127, 137, 157, 167, 187, 197];
private static readonly ushort[] GroupBResiduesEnding9 = [19, 29, 59, 79, 89, 109, 139, 149, 169, 179, 199, 209];
private static readonly ulong[] GroupADivisorsStorage;
private static readonly ulong[] GroupADivisorSquaresStorage;
internal static readonly ulong[] GroupADivisorsStorage;
internal static readonly ulong[] GroupADivisorSquaresStorage;
private static readonly ulong[] GroupBDivisorsEnding1Storage;
private static readonly ulong[] GroupBDivisorSquaresEnding1Storage;
+5 -4
View File
@@ -2,6 +2,7 @@ using Open.Numeric.Primes;
using System.Runtime.CompilerServices;
using ILGPU.Runtime;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
namespace PerfectNumbers.Core;
@@ -241,10 +242,10 @@ public sealed class HeuristicPrimeTester
private bool HeuristicTrialDivisionGpuDetectsDivisor(ulong n, ulong maxDivisorSquare, byte nMod10)
{
GpuPrimeWorkLimiter.Acquire();
var gpu = PrimeTester.PrimeTesterGpuContextPool.Rent(1);
var gpu = HeuristicPrimeTesterAccelerator.Rent(1);
var accelerator = gpu.Accelerator;
var stream = gpu.Stream;
var kernel = PrimeTester.PrimeTesterGpuContextPool.PrimeTesterGpuContextLease.GetHeuristicTrialDivisionKernel(accelerator);
var kernel = HeuristicPrimeTesterAccelerator.GetHeuristicTrialDivisionKernel(accelerator);
var flagView1D = gpu.HeuristicFlag.View;
var flagView = flagView1D.AsContiguous();
@@ -255,7 +256,7 @@ public sealed class HeuristicPrimeTester
flagView1D.CopyFromCPU(stream, ref compositeFlag, 1);
kernel(
stream,
stream!,
groupALength,
flagView,
n,
@@ -264,7 +265,7 @@ public sealed class HeuristicPrimeTester
gpu.HeuristicGpuTables);
flagView1D.CopyToCPU(stream, ref compositeFlag, 1);
stream.Synchronize();
stream!.Synchronize();
compositeDetected = compositeFlag != 0;
+1 -1
View File
@@ -150,7 +150,7 @@ public sealed class MersenneNumberTester(
GpuPrimeWorkLimiter.Acquire();
var accelerator = AcceleratorPool.Shared.Rent();
var stream = accelerator.CreateStream();
var orderKernel = GpuKernelPool.GetOrAddKernels(accelerator, stream).Order!;
var orderKernel = GpuKernelPool.GetOrAddKernels(accelerator, stream, KernelType.OrderKernelScan).Order!;
// Guard long-running kernels by chunking the warm-up across batches.
// Reuse the same ScanBatchSize knob used for scanning.
@@ -17,7 +17,7 @@ internal static partial class PrimeOrderCalculator
private static ulong CalculateByFactorizationGpu(Pow2MontgomeryAccelerator gpu, ulong prime, in MontgomeryDivisorData divisorData)
{
ulong phi = prime - 1UL;
Dictionary<ulong, int> counts = gpu.ToTestOnHost;
Dictionary<ulong, int> counts = gpu.Pow2ModEntriesToTestOnHost;
counts.Clear();
FactorCompletelyCpu(phi, counts);
@@ -39,7 +39,7 @@ internal static partial class PrimeOrderCalculator
AcceleratorStream stream = gpu.Stream!;
gpu.EnsureCapacity(entryCount);
gpu.ToTestOnDevice.View.CopyFromCPU(stream, entries);
gpu.Pow2ModEntriesToTestOnDevice.View.CopyFromCPU(stream, entries);
ulong order = phi;
var kernel = gpu.CheckFactorsKernel;
@@ -47,7 +47,7 @@ internal static partial class PrimeOrderCalculator
GpuPrimeWorkLimiter.Acquire();
kernel.Launch(stream, 1, entryCount, phi, gpu.ToTestOnDevice.View, divisorData, gpu.Output.View);
kernel.Launch(stream, 1, entryCount, phi, gpu.Pow2ModEntriesToTestOnDevice.View, divisorData, gpu.Output.View);
gpu.Output.View.CopyToCPU(stream, ref order, 1);
stream.Synchronize();
@@ -66,7 +66,7 @@ internal static partial class PrimeOrderCalculator
GpuPrimeWorkLimiter.Acquire();
Accelerator accelerator = AcceleratorPool.Shared.Rent();
var stream = accelerator.CreateStream();
KernelContainer kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream);
KernelContainer kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream, KernelType.SmallPrimeFactorKernelScan);
ScratchBuffer scratch = GpuScratchBufferPool.Rent(accelerator, GpuSmallPrimeFactorSlots, 0);
@@ -152,7 +152,7 @@ internal static partial class PrimeOrderCalculator
GpuPrimeWorkLimiter.Acquire();
Accelerator accelerator = AcceleratorPool.Shared.Rent();
var stream = accelerator.CreateStream();
var kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream);
var kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream, KernelType.EvaluateSpecialMaxCandidatesKernel);
ScratchBuffer scratch = GpuScratchBufferPool.Rent(accelerator, 0, factorCount);
+9 -483
View File
@@ -1,13 +1,11 @@
using System;
using System.Buffers;
using System.Collections.Concurrent;
using System.Collections.Generic;
using System.Numerics;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
using ILGPU;
using ILGPU.Runtime;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Accelerators;
namespace PerfectNumbers.Core;
@@ -96,10 +94,10 @@ public sealed class PrimeTester
public static bool IsPrimeGpu(ulong n)
{
GpuPrimeWorkLimiter.Acquire();
var gpu = PrimeTesterGpuContextPool.Rent(1);
var gpu = PrimeTesterByLastDigitAccelerator.Rent(1);
var accelerator = gpu.Accelerator;
var stream = gpu.Stream;
var kernel = PrimeTesterGpuContextPool.PrimeTesterGpuContextLease.GetSmallPrimeSieveKernel(accelerator);
var kernel = PrimeTesterByLastDigitAccelerator.GetSmallPrimeSieveKernel(accelerator);
ulong value = n;
// Span<byte> flag = stackalloc byte[1];
@@ -115,12 +113,10 @@ public sealed class PrimeTester
stream,
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,
@@ -155,7 +151,7 @@ public sealed class PrimeTester
return;
}
PrimeTesterGpuContextPool.WarmUp(target, GpuBatchSize);
PrimeTesterByLastDigitAccelerator.WarmUp();
WarmedGpuLeaseCount = target;
}
}
@@ -164,10 +160,10 @@ public sealed class PrimeTester
public static void IsPrimeBatchGpu(ReadOnlySpan<ulong> values, Span<byte> results)
{
GpuPrimeWorkLimiter.Acquire();
var gpu = PrimeTesterGpuContextPool.Rent(GpuBatchSize);
var gpu = PrimeTesterByLastDigitAccelerator.Rent(GpuBatchSize);
var accelerator = gpu.Accelerator;
var stream = gpu.Stream;
var kernel = PrimeTesterGpuContextPool.PrimeTesterGpuContextLease.GetSmallPrimeSieveKernel(accelerator);
var kernel = PrimeTesterByLastDigitAccelerator.GetSmallPrimeSieveKernel(accelerator);
int totalLength = values.Length;
int batchSize = GpuBatchSize;
@@ -190,12 +186,10 @@ public sealed class PrimeTester
stream,
count,
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,
@@ -214,483 +208,15 @@ public sealed class PrimeTester
GpuPrimeWorkLimiter.Release();
}
internal static class PrimeTesterGpuContextPool
{
[ThreadStatic]
private static Queue<PrimeTesterGpuContextLease>? Pool;
private static readonly object WarmUpLock = new();
private static int WarmedLeaseCount;
// internal static void EnsureStaticTables(Accelerator accelerator)
// {
// var tables = CreateSharedTables(accelerator);
// }
internal static void WarmUp(int target, int minBufferCapacity)
{
// if (target <= 0)
// {
// return;
// }
// lock (WarmUpLock)
// {
// if (target <= WarmedLeaseCount)
// {
// return;
// }
// Accelerator accelerator = SharedGpuContext.Accelerator;
// AcceleratorStream stream = accelerator.CreateStream();
// KernelContainer kernels = GpuKernelPool.Kernels;
// GpuStaticTableInitializer.EnsureStaticTables(kernels, stream);
// int toCreate = target - WarmedLeaseCount;
// for (int i = 0; i < toCreate; i++)
// {
// Pool.Enqueue(new PrimeTesterGpuContextLease(minBufferCapacity, stream));
// }
// stream.Synchronize();
// stream.Dispose();
// WarmedLeaseCount = target;
// }
}
internal static PrimeTesterGpuContextLease Rent(int minBufferCapacity = 1)
{
var pool = Pool ??= new();
if (!pool.TryDequeue(out var lease))
{
lease = new PrimeTesterGpuContextLease(minBufferCapacity);
}
else
{
lease.EnsureCapacity(minBufferCapacity);
}
return lease;
}
internal static void Return(PrimeTesterGpuContextLease lease)
{
var pool = Pool ??= new();
pool.Enqueue(lease);
}
internal static void DisposeAll()
{
if (Pool != null)
{
while (Pool.TryDequeue(out var lease))
{
lease.DisposeResources();
}
}
WarmedLeaseCount = 0;
}
internal static void Clear()
{
if (Pool != null)
{
lock (WarmUpLock)
{
var retained = new List<PrimeTesterGpuContextLease>();
while (Pool.TryDequeue(out var lease))
{
lease.DisposeResources();
}
WarmedLeaseCount = Pool.Count;
}
}
}
internal sealed class PrimeTesterGpuContextLease
{
private readonly SharedHeuristicGpuTables _sharedTables;
private readonly HeuristicGpuDivisorTables _heuristicDivisorTables;
internal readonly Context AcceleratorContext;
public readonly Accelerator Accelerator;
private AcceleratorStream? _stream;
public AcceleratorStream Stream
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _stream ?? Accelerator.CreateStream();
}
[ThreadStatic]
public static Dictionary<Accelerator, Action<AcceleratorStream, 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>>>? SmallPrimeSieveKernel;
internal static Action<AcceleratorStream, 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>> GetSmallPrimeSieveKernel(Accelerator accelerator)
{
var pool = SmallPrimeSieveKernel ??= [];
if (pool.TryGetValue(accelerator, out var cached))
{
return cached;
}
cached = KernelUtil.GetKernel(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)).CreateLauncherDelegate<Action<AcceleratorStream, 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>>>();
pool[accelerator] = cached;
return cached;
}
[ThreadStatic]
public static Dictionary<Accelerator, Action<AcceleratorStream, Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>>? HeuristicTrialDivisionKernel;
internal static Action<AcceleratorStream, Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables> GetHeuristicTrialDivisionKernel(Accelerator accelerator)
{
var pool = HeuristicTrialDivisionKernel ??= [];
if (pool.TryGetValue(accelerator, out var cached))
{
return cached;
}
cached = KernelUtil.GetKernel(accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>(PrimeTesterKernels.HeuristicTrialDivisionKernel)).CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>>();
pool[accelerator] = cached;
return cached;
}
public MemoryBuffer1D<ulong, Stride1D.Dense> Input = null!;
public MemoryBuffer1D<byte, Stride1D.Dense> Output = null!;
public MemoryBuffer1D<int, Stride1D.Dense> HeuristicFlag = null!;
public int BufferCapacity;
public MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesDefault => _sharedTables.DevicePrimesDefault;
public MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastOne => _sharedTables.DevicePrimesLastOne;
public MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastSeven => _sharedTables.DevicePrimesLastSeven;
public MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastThree => _sharedTables.DevicePrimesLastThree;
public MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastNine => _sharedTables.DevicePrimesLastNine;
public MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2Default => _sharedTables.DevicePrimesPow2Default;
public MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastOne => _sharedTables.DevicePrimesPow2LastOne;
public MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastSeven => _sharedTables.DevicePrimesPow2LastSeven;
public MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastThree => _sharedTables.DevicePrimesPow2LastThree;
public MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastNine => _sharedTables.DevicePrimesPow2LastNine;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupADivisors => _sharedTables.HeuristicGroupADivisors;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupADivisorSquares => _sharedTables.HeuristicGroupADivisorSquares;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding1 => _sharedTables.HeuristicGroupBDivisorsEnding1;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding1 => _sharedTables.HeuristicGroupBDivisorSquaresEnding1;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding7 => _sharedTables.HeuristicGroupBDivisorsEnding7;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding7 => _sharedTables.HeuristicGroupBDivisorSquaresEnding7;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding9 => _sharedTables.HeuristicGroupBDivisorsEnding9;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding9 => _sharedTables.HeuristicGroupBDivisorSquaresEnding9;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding1 => _sharedTables.HeuristicCombinedDivisorsEnding1;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding1 => _sharedTables.HeuristicCombinedDivisorSquaresEnding1;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding3 => _sharedTables.HeuristicCombinedDivisorsEnding3;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding3 => _sharedTables.HeuristicCombinedDivisorSquaresEnding3;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding7 => _sharedTables.HeuristicCombinedDivisorsEnding7;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding7 => _sharedTables.HeuristicCombinedDivisorSquaresEnding7;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding9 => _sharedTables.HeuristicCombinedDivisorsEnding9;
public MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding9 => _sharedTables.HeuristicCombinedDivisorSquaresEnding9;
public HeuristicGpuDivisorTables HeuristicGpuTables => _heuristicDivisorTables;
internal PrimeTesterGpuContextLease(int minBufferCapacity)
{
AcceleratorContext = SharedGpuContext.Context;
Accelerator accelerator = AcceleratorPool.Shared.Rent();
// lock (_accelerators)
// {
// }
Accelerator = accelerator;
AcceleratorStream stream = accelerator.CreateStream();
// var kernels = _kernels[index]; //GpuKernelPool.Kernels;
// GpuStaticTableInitializer.EnsureStaticTables(accelerator, kernels, stream);
var sharedTables = SharedHeuristicGpuTables.EnsureStaticTables(accelerator, stream);
_sharedTables = sharedTables;
var heuristicDivisorTables = sharedTables.CreateHeuristicDivisorTables();
_heuristicDivisorTables = heuristicDivisorTables;
EnsureCapacity(minBufferCapacity);
stream.Synchronize();
stream.Dispose();
}
public void EnsureCapacity(int minCapacity)
{
if (minCapacity <= BufferCapacity)
{
return;
}
Input?.Dispose();
Output?.Dispose();
HeuristicFlag?.Dispose();
// lock (Accelerator)
{
Input = Accelerator.Allocate1D<ulong>(minCapacity);
Output = Accelerator.Allocate1D<byte>(minCapacity);
HeuristicFlag = Accelerator.Allocate1D<int>(minCapacity);
}
BufferCapacity = minCapacity;
}
public void Dispose()
{
_stream?.Dispose();
_stream = null;
Return(this);
}
internal void DisposeResources()
{
Input?.Dispose();
Output?.Dispose();
HeuristicFlag?.Dispose();
_stream?.Dispose();
_stream = null;
// ReleaseSharedTables(_sharedTables);
// 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);
}
}
private sealed class SharedHeuristicGpuTables
{
private static readonly ConcurrentDictionary<Accelerator, SharedHeuristicGpuTables> _sharedTables = new(20_480, PerfectNumberConstants.RollingAccelerators);
private int _referenceCount;
internal static SharedHeuristicGpuTables EnsureStaticTables(Accelerator accelerator, AcceleratorStream stream)
=> _sharedTables.GetOrAdd(accelerator, _ => new SharedHeuristicGpuTables(accelerator, stream));
internal SharedHeuristicGpuTables(Accelerator accelerator, AcceleratorStream stream)
{
var primesDefault = DivisorGenerator.SmallPrimes;
var primesLastOne = DivisorGenerator.SmallPrimesLastOne;
var primesLastSeven = DivisorGenerator.SmallPrimesLastSeven;
var primesLastThree = DivisorGenerator.SmallPrimesLastThree;
var primesLastNine = DivisorGenerator.SmallPrimesLastNine;
var primesPow2Default = DivisorGenerator.SmallPrimesPow2;
var primesPow2LastOne = DivisorGenerator.SmallPrimesPow2LastOne;
var primesPow2LastSeven = DivisorGenerator.SmallPrimesPow2LastSeven;
var primesPow2LastThree = DivisorGenerator.SmallPrimesPow2LastThree;
var primesPow2LastNine = DivisorGenerator.SmallPrimesPow2LastNine;
// lock (accelerator)
{
DevicePrimesDefault = accelerator.Allocate1D<uint>(primesDefault.Length);
DevicePrimesLastOne = accelerator.Allocate1D<uint>(primesLastOne.Length);
DevicePrimesLastSeven = accelerator.Allocate1D<uint>(primesLastSeven.Length);
DevicePrimesLastThree = accelerator.Allocate1D<uint>(primesLastThree.Length);
DevicePrimesLastNine = accelerator.Allocate1D<uint>(primesLastNine.Length);
DevicePrimesPow2Default = accelerator.Allocate1D<ulong>(primesPow2Default.Length);
DevicePrimesPow2LastOne = accelerator.Allocate1D<ulong>(primesPow2LastOne.Length);
DevicePrimesPow2LastSeven = accelerator.Allocate1D<ulong>(primesPow2LastSeven.Length);
DevicePrimesPow2LastThree = accelerator.Allocate1D<ulong>(primesPow2LastThree.Length);
DevicePrimesPow2LastNine = accelerator.Allocate1D<ulong>(primesPow2LastNine.Length);
}
DevicePrimesDefault.View.CopyFromCPU(stream, primesDefault);
DevicePrimesLastOne.View.CopyFromCPU(stream, primesLastOne);
DevicePrimesLastSeven.View.CopyFromCPU(stream, primesLastSeven);
DevicePrimesLastThree.View.CopyFromCPU(stream, primesLastThree);
DevicePrimesLastNine.View.CopyFromCPU(stream, primesLastNine);
DevicePrimesPow2Default.View.CopyFromCPU(stream, primesPow2Default);
DevicePrimesPow2LastOne.View.CopyFromCPU(stream, primesPow2LastOne);
DevicePrimesPow2LastSeven.View.CopyFromCPU(stream, primesPow2LastSeven);
DevicePrimesPow2LastThree.View.CopyFromCPU(stream, primesPow2LastThree);
DevicePrimesPow2LastNine.View.CopyFromCPU(stream, primesPow2LastNine);
HeuristicPrimeSieves.EnsureInitialized();
HeuristicCombinedPrimeTester.EnsureInitialized();
var heuristicGroupA = HeuristicPrimeSieves.GroupADivisors;
HeuristicGroupADivisors = CopySpanToDevice(accelerator, stream, heuristicGroupA);
var heuristicGroupASquares = HeuristicPrimeSieves.GroupADivisorSquares;
HeuristicGroupADivisorSquares = CopySpanToDevice(accelerator, stream, heuristicGroupASquares);
HeuristicGroupBDivisorsEnding1 = CopyUintSpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesLastOneWithoutLastThree);
HeuristicGroupBDivisorSquaresEnding1 = CopySpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesPow2LastOneWithoutLastThree);
HeuristicGroupBDivisorsEnding7 = CopyUintSpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesLastSevenWithoutLastThree);
HeuristicGroupBDivisorSquaresEnding7 = CopySpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesPow2LastSevenWithoutLastThree);
HeuristicGroupBDivisorsEnding9 = CopyUintSpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesLastNineWithoutLastThree);
HeuristicGroupBDivisorSquaresEnding9 = CopySpanToDevice(accelerator, stream, DivisorGenerator.SmallPrimesPow2LastNineWithoutLastThree);
var combinedEnding1 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding1Span;
HeuristicCombinedDivisorsEnding1 = CopySpanToDevice(accelerator, stream, combinedEnding1);
var combinedSquaresEnding1 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding1SquaresSpan;
HeuristicCombinedDivisorSquaresEnding1 = CopySpanToDevice(accelerator, stream, combinedSquaresEnding1);
var combinedEnding3 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding3Span;
HeuristicCombinedDivisorsEnding3 = CopySpanToDevice(accelerator, stream, combinedEnding3);
var combinedSquaresEnding3 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding3SquaresSpan;
HeuristicCombinedDivisorSquaresEnding3 = CopySpanToDevice(accelerator, stream, combinedSquaresEnding3);
var combinedEnding7 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding7Span;
HeuristicCombinedDivisorsEnding7 = CopySpanToDevice(accelerator, stream, combinedEnding7);
var combinedSquaresEnding7 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding7SquaresSpan;
HeuristicCombinedDivisorSquaresEnding7 = CopySpanToDevice(accelerator, stream, combinedSquaresEnding7);
var combinedEnding9 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding9Span;
HeuristicCombinedDivisorsEnding9 = CopySpanToDevice(accelerator, stream, combinedEnding9);
var combinedSquaresEnding9 = HeuristicCombinedPrimeTester.CombinedDivisorsEnding9SquaresSpan;
HeuristicCombinedDivisorSquaresEnding9 = CopySpanToDevice(accelerator, stream, combinedSquaresEnding9);
}
internal MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesDefault { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastOne { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastSeven { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastThree { get; }
internal MemoryBuffer1D<uint, Stride1D.Dense> DevicePrimesLastNine { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2Default { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastOne { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastSeven { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastThree { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> DevicePrimesPow2LastNine { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupADivisors { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupADivisorSquares { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding1 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding1 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding7 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding7 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorsEnding9 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicGroupBDivisorSquaresEnding9 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding1 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding1 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding3 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding3 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorsEnding7 { get; }
internal MemoryBuffer1D<ulong, Stride1D.Dense> HeuristicCombinedDivisorSquaresEnding7 { get; }
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);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
internal void AddReference() => Atomic.Add(ref _referenceCount, 1);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
internal void Release() => Atomic.Add(ref _referenceCount, -1);
private static MemoryBuffer1D<ulong, Stride1D.Dense> CopySpanToDevice(Accelerator accelerator, AcceleratorStream stream, ReadOnlySpan<ulong> span)
{
MemoryBuffer1D<ulong, Stride1D.Dense>? buffer;
// lock (accelerator)
{
buffer = accelerator.Allocate1D<ulong>(span.Length);
}
if (!span.IsEmpty)
{
ref ulong sourceRef = ref MemoryMarshal.GetReference(span);
buffer.View.CopyFromCPU(stream, ref sourceRef, span.Length);
}
return buffer;
}
private static MemoryBuffer1D<ulong, Stride1D.Dense> CopyUintSpanToDevice(Accelerator accelerator, AcceleratorStream stream, ReadOnlySpan<uint> span)
{
MemoryBuffer1D<ulong, Stride1D.Dense>? buffer;
// lock (accelerator)
{
buffer = accelerator.Allocate1D<ulong>(span.Length);
}
if (!span.IsEmpty)
{
var converted = new ulong[span.Length];
for (int i = 0; i < span.Length; i++)
{
converted[i] = span[i];
}
buffer.View.CopyFromCPU(stream, converted);
}
return buffer;
}
internal void Dispose()
{
DevicePrimesDefault.Dispose();
DevicePrimesLastOne.Dispose();
DevicePrimesLastSeven.Dispose();
DevicePrimesLastThree.Dispose();
DevicePrimesLastNine.Dispose();
DevicePrimesPow2Default.Dispose();
DevicePrimesPow2LastOne.Dispose();
DevicePrimesPow2LastSeven.Dispose();
DevicePrimesPow2LastThree.Dispose();
DevicePrimesPow2LastNine.Dispose();
HeuristicGroupADivisors.Dispose();
HeuristicGroupADivisorSquares.Dispose();
HeuristicGroupBDivisorsEnding1.Dispose();
HeuristicGroupBDivisorSquaresEnding1.Dispose();
HeuristicGroupBDivisorsEnding7.Dispose();
HeuristicGroupBDivisorSquaresEnding7.Dispose();
HeuristicGroupBDivisorsEnding9.Dispose();
HeuristicGroupBDivisorSquaresEnding9.Dispose();
HeuristicCombinedDivisorsEnding1.Dispose();
HeuristicCombinedDivisorSquaresEnding1.Dispose();
HeuristicCombinedDivisorsEnding3.Dispose();
HeuristicCombinedDivisorSquaresEnding3.Dispose();
HeuristicCombinedDivisorsEnding7.Dispose();
HeuristicCombinedDivisorSquaresEnding7.Dispose();
HeuristicCombinedDivisorsEnding9.Dispose();
HeuristicCombinedDivisorSquaresEnding9.Dispose();
}
}
}
// Expose cache clearing for accelerator disposal coordination
public static void ClearGpuCaches()
{
PrimeTesterGpuContextPool.Clear();
PrimeTesterByLastDigitAccelerator.Clear();
}
internal static void DisposeGpuContexts()
{
PrimeTesterGpuContextPool.DisposeAll();
PrimeTesterByLastDigitAccelerator.DisposeAll();
lock (GpuWarmUpLock)
{
WarmedGpuLeaseCount = 0;
@@ -715,7 +241,7 @@ public sealed class PrimeTester
// TODO: Route this batch helper through the shared GPU kernel pool from
// GpuUInt128BinaryGcdBenchmarks so we reuse cached kernels, pinned host buffers,
// and divisor-cycle staging instead of allocating new device buffers per call.
var gpu = PrimeTesterGpuContextPool.Rent();
var gpu = PrimeTesterByLastDigitAccelerator.Rent();
var accelerator = gpu.Accelerator;
var stream = gpu.Stream;