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Accelerator index added for dictionary-less use-cases

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mlemanczyk committed 2025-11-15 02:21:45 +01:00
1 parent 6cb63b6e73
commit 0540411cad
21 files changed
+855 -778
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PerfectNumbers.Core/Gpu/AcceleratorPool.cs
+7 -3
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@@ -11,7 +11,7 @@ namespace PerfectNumbers.Core.Gpu
private int _index;
public Accelerator Rent()
public int Rent()
{
Atomic.CompareExchange(ref _index, Capacity, 0);
var index = Atomic.Add(ref _index, 1);
@@ -20,27 +20,31 @@ namespace PerfectNumbers.Core.Gpu
index -= Capacity;
}
return Accelerators[index];
return index;
}
public void Return(Accelerator accelerator)
public void Return(int acceleratorIndex)
{
// Intentionally left empty - there's nothing to do here. We're not really renting anything.
}
public static readonly AcceleratorPool Shared = new(PerfectNumberConstants.RollingAccelerators);
private readonly int Capacity;
public AcceleratorPool(int capacity)
{
Console.WriteLine("Creating accelerators");
Capacity = capacity;
var context = Context.CreateDefault();
var device = context.GetPreferredDevice(false);
Context = context;
Device = device;
int acceleratorsInContext = 0;
int acceleratorIndex = 0;
Accelerators = [.. Enumerable.Range(0, capacity).Select(_ =>
{
Console.WriteLine($"Preparing accelerator {acceleratorIndex++}");
Accelerator accelerator = device.CreateAccelerator(context);
acceleratorsInContext++;
if (acceleratorsInContext >= 128)
PerfectNumbers.Core/Gpu/Accelerators/AcceleratorStreamPool.cs
+14 -14
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@@ -5,38 +5,38 @@ namespace PerfectNumbers.Core.Gpu.Accelerators;
public static class AcceleratorStreamPool
{
private static readonly Dictionary<Accelerator, ConcurrentQueue<AcceleratorStream>> _streams = new(PerfectNumberConstants .RollingAccelerators << 1);
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
private static readonly SemaphoreSlim[] _locks = new SemaphoreSlim[PerfectNumberConstants.RollingAccelerators];
private static readonly ConcurrentQueue<AcceleratorStream>[] _streams = new ConcurrentQueue<AcceleratorStream> [PerfectNumberConstants.RollingAccelerators];
private static SemaphoreSlim CreateLock() => new(PerfectNumberConstants.ThreadsByStream);
private static SemaphoreSlim CreateLock() => new(PerfectNumberConstants.ThreadsByAccelerator);
private static readonly Dictionary<Accelerator, SemaphoreSlim> _locks = new(PerfectNumberConstants.RollingAccelerators << 1);
// private static int _rented;
public static AcceleratorStream Rent(Accelerator accelerator)
public static AcceleratorStream Rent(int acceleratorIndex)
{
var streamLock = _locks[accelerator];
var queue = _streams[accelerator];
var streamLock = _locks[acceleratorIndex];
var queue = _streams[acceleratorIndex];
streamLock.Wait();
return queue.TryDequeue(out var stream)
? stream
: accelerator.CreateStream();
: _accelerators[acceleratorIndex].CreateStream();
}
public static void Return(AcceleratorStream stream)
public static void Return(int acceleratorIndex, AcceleratorStream stream)
{
Accelerator accelerator = stream.Accelerator;
var streamLock = _locks[accelerator];
var queue = _streams[accelerator];
var streamLock = _locks[acceleratorIndex];
var queue = _streams[acceleratorIndex];
queue.Enqueue(stream);
streamLock.Release();
}
public static void WarmUp(Accelerator accelerator)
public static void WarmUp(int acceleratorIndex)
{
_streams.Add(accelerator, new());
_ = _locks.TryAdd(accelerator, CreateLock());
_streams[acceleratorIndex] = new();
_locks[acceleratorIndex] = CreateLock();
}
}
PerfectNumbers.Core/Gpu/Accelerators/HeuristicPrimeTesterAccelerator.cs
+6 -3
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@@ -131,9 +131,12 @@ internal sealed class HeuristicPrimeTesterAccelerator
public HeuristicGpuDivisorTables HeuristicGpuTables => _heuristicDivisorTables;
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
internal HeuristicPrimeTesterAccelerator(int minBufferCapacity)
{
Accelerator accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
Accelerator accelerator = _accelerators[acceleratorIndex];
Context = accelerator.Context;
Accelerator = accelerator;
@@ -141,7 +144,7 @@ internal sealed class HeuristicPrimeTesterAccelerator
HeuristicTrialDivisionKernel = KernelUtil.GetKernel(accelerator.LoadAutoGroupedStreamKernel<Index1D, ArrayView<int>, ulong, ulong, HeuristicGpuDivisorTableKind, HeuristicGpuDivisorTables>(PrimeTesterKernels.HeuristicTrialDivisionKernel));
AcceleratorStream stream = AcceleratorStreamPool.Rent(accelerator);
AcceleratorStream stream = AcceleratorStreamPool.Rent(acceleratorIndex);
// GpuStaticTableInitializer.EnsureStaticTables(accelerator, kernels, stream);
@@ -149,7 +152,7 @@ internal sealed class HeuristicPrimeTesterAccelerator
_heuristicDivisorTables = _sharedTables.CreateHeuristicDivisorTables();
stream.Synchronize();
AcceleratorStreamPool.Return(stream);
AcceleratorStreamPool.Return(acceleratorIndex, stream);
}
public void EnsureCapacity(int minCapacity)
PerfectNumbers.Core/Gpu/Accelerators/LastDigitGpuTables.cs
+4 -3
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@@ -6,13 +6,14 @@ namespace PerfectNumbers.Core.Gpu.Accelerators;
internal sealed class LastDigitGpuTables
{
private static readonly Dictionary<Accelerator, LastDigitGpuTables> _sharedTables = new(PerfectNumberConstants.RollingAccelerators);
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
private static readonly LastDigitGpuTables[] _sharedTables = new LastDigitGpuTables[PerfectNumberConstants.RollingAccelerators];
[MethodImpl(MethodImplOptions.AggressiveInlining)]
internal static LastDigitGpuTables EnsureStaticTables(Accelerator accelerator) => _sharedTables[accelerator];
internal static LastDigitGpuTables EnsureStaticTables(int acceleratorIndex) => _sharedTables[acceleratorIndex];
[MethodImpl(MethodImplOptions.AggressiveInlining)]
internal static void WarmUp(Accelerator accelerator, AcceleratorStream stream) => _sharedTables[accelerator] = new LastDigitGpuTables(accelerator, stream);
internal static void WarmUp(int acceleratorIndex, AcceleratorStream stream) => _sharedTables[acceleratorIndex] = new LastDigitGpuTables(_accelerators[acceleratorIndex], stream);
internal LastDigitGpuTables(Accelerator accelerator, AcceleratorStream stream)
{
PerfectNumbers.Core/Gpu/Accelerators/PrimeOrderCalculatorAccelerator.cs
+12 -7
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@@ -1,7 +1,6 @@
using System.Runtime.CompilerServices;
using ILGPU;
using ILGPU.Runtime;
using PerfectNumbers.Core.Gpu;
using PerfectNumbers.Core.Gpu.Kernels;
namespace PerfectNumbers.Core.Gpu.Accelerators;
@@ -19,8 +18,8 @@ public sealed class PrimeOrderCalculatorAccelerator
var pool = _pool ??= [];
if (!pool.TryDequeue(out var gpu))
{
Accelerator accelerator = AcceleratorPool.Shared.Rent();
gpu = new(accelerator, PerfectNumberConstants.DefaultFactorsBuffer, primeTesterCapacity, PerfectNumberConstants.DefaultSmallPrimeFactorSlotCount, PerfectNumberConstants.DefaultSpecialMaxFactorCapacity);
int acceleratorIndex = AcceleratorPool.Shared.Rent();
gpu = new(acceleratorIndex, PerfectNumberConstants.DefaultFactorsBuffer, primeTesterCapacity, PerfectNumberConstants.DefaultSmallPrimeFactorSlotCount, PerfectNumberConstants.DefaultSpecialMaxFactorCapacity);
}
else
{
@@ -65,22 +64,26 @@ public sealed class PrimeOrderCalculatorAccelerator
{
Console.WriteLine($"Preparing accelerator {i}...");
var accelerator = accelerators[i];
AcceleratorStreamPool.WarmUp(accelerator);
AcceleratorStreamPool.WarmUp(i);
// Don't take this from the pool as quick uploads of data to the accelerator consumes much of GPU's memory and throws.
AcceleratorStream stream = accelerator.CreateStream();
LastDigitGpuTables.WarmUp(accelerator, stream);
LastDigitGpuTables.WarmUp(i, stream);
// SharedHeuristicGpuTables.EnsureStaticTables(accelerator, stream);
// _ = GpuKernelPool.GetOrAddKernels(accelerator, stream, KernelType.None);
// KernelContainer kernels = GpuKernelPool.GetOrAddKernels(accelerator, stream);
// GpuStaticTableInitializer.EnsureStaticTables(accelerator, kernels, stream);
stream.Synchronize();
stream.Dispose();
accelerator.Synchronize();
}
}
#endregion
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
public readonly Accelerator Accelerator;
public readonly int AcceleratorIndex;
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> Input;
public readonly MemoryBuffer1D<ulong, Stride1D.Dense> OutputUlong;
public MemoryBuffer1D<ulong, Stride1D.Dense> PrimeTestInput;
@@ -161,9 +164,11 @@ public sealed class PrimeOrderCalculatorAccelerator
}
}
public PrimeOrderCalculatorAccelerator(Accelerator accelerator, int factorsCount, int primeTesterCapacity, int smallPrimeFactorSlotCount, int specialMaxFactorCapacity)
public PrimeOrderCalculatorAccelerator(int acceleratorIndex, int factorsCount, int primeTesterCapacity, int smallPrimeFactorSlotCount, int specialMaxFactorCapacity)
{
var accelerator = _accelerators[acceleratorIndex];
Accelerator = accelerator;
AcceleratorIndex = acceleratorIndex;
Input = accelerator.Allocate1D<ulong>(1);
OutputUlong = accelerator.Allocate1D<ulong>(1);
Pow2ModEntriesToTestOnDevice = accelerator.Allocate1D<KeyValuePair<ulong, int>>(factorsCount);
@@ -179,7 +184,7 @@ public sealed class PrimeOrderCalculatorAccelerator
SpecialMaxCandidates = accelerator.Allocate1D<ulong>(specialMaxFactorCapacity);
SpecialMaxResult = accelerator.Allocate1D<ulong>(1);
var sharedTables = LastDigitGpuTables.EnsureStaticTables(accelerator);
var sharedTables = LastDigitGpuTables.EnsureStaticTables(acceleratorIndex);
DevicePrimesLastOne = sharedTables.DevicePrimesLastOne;
DevicePrimesLastSeven = sharedTables.DevicePrimesLastSeven;
PerfectNumbers.Core/Gpu/MersenneNumberDivisorByDivisorGpuTester.cs
+706 -699
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File diff suppressed because it is too large. Load diff
PerfectNumbers.Core/Gpu/MersenneNumberDivisorGpuTester.cs
+4 -1
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@@ -54,10 +54,13 @@ public sealed class MersenneNumberDivisorGpuTester
_divisorCandidates = count == 0 ? [] : list[..count];
}
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
public bool IsDivisible(ulong exponent, in ReadOnlyGpuUInt128 divisor)
{
// var accelerator = SharedGpuContext.CreateAccelerator();
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
Queue<MemoryBuffer1D<byte, Stride1D.Dense>> resultBuffers = GetQueue(accelerator);
if (!resultBuffers.TryDequeue(out var resultBuffer))
PerfectNumbers.Core/Gpu/MersenneNumberIncrementalGpuTester.cs
+4 -1
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@@ -12,12 +12,15 @@ public class MersenneNumberIncrementalGpuTester(GpuKernelType kernelType, bool u
private readonly GpuKernelType _kernelType = kernelType;
private readonly bool _useGpuOrder = useGpuOrder;
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
public void Scan(ulong exponent, UInt128 twoP, LastDigit lastDigit, UInt128 maxK, ref bool isPrime)
{
throw new NotImplementedException($"GPU incremental scanning requires the device cycle heuristics implementation (kernel: {_kernelType}, GPU order: {_useGpuOrder}).");
// GpuPrimeWorkLimiter.Acquire();
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
int batchSize = GpuConstants.ScanBatchSize; // large batch improves GPU occupancy
UInt128 kStart = 1UL;
PerfectNumbers.Core/Gpu/MersenneNumberLucasLehmerGpuTester.cs
+8 -3
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@@ -160,7 +160,8 @@ public class MersenneNumberLucasLehmerGpuTester
else
{
// GpuPrimeWorkLimiter.Acquire();
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
var modulus = new GpuUInt128(((UInt128)1 << (int)exponent) - 1UL); // TODO: Cache these Mersenne moduli per exponent so LL GPU runs skip rebuilding them every launch.
var buffer = accelerator.Allocate1D<GpuUInt128>(1);
@@ -193,7 +194,8 @@ public class MersenneNumberLucasLehmerGpuTester
}
}
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
var expBuffer = accelerator.Allocate1D<ulong>(count);
@@ -246,9 +248,12 @@ public class MersenneNumberLucasLehmerGpuTester
gpuUInt128Pool.Return(buffer);
}
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
private bool IsMersennePrimeNtt(ulong exponent, GpuUInt128 nttMod, GpuUInt128 primitiveRoot, bool runOnGpu)
{
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
var subKernel = GetSubSmallKernel(accelerator);
PerfectNumbers.Core/Gpu/MersenneNumberOrderGpuTester.cs
+4 -1
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@@ -7,11 +7,14 @@ public class MersenneNumberOrderGpuTester(GpuKernelType kernelType, bool useGpuO
private readonly GpuKernelType _kernelType = kernelType;
private readonly bool _useGpuOrder = useGpuOrder;
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
public void Scan(ulong exponent, UInt128 twoP, LastDigit lastDigit, UInt128 maxK, ref bool isPrime)
{
// GpuPrimeWorkLimiter.Acquire();
// var accelerator = SharedGpuContext.Accelerator;
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
int batchSize = GpuConstants.ScanBatchSize; // large batch improves GPU occupancy and avoids TDR
UInt128 kStart = UInt128.One;
PerfectNumbers.Core/Gpu/MersenneNumberResidueGpuTester.cs
+4 -1
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@@ -22,11 +22,14 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
// TODO: When cycles are missing for larger q values, compute only the single required cycle on the device
// requested by the caller, skip queuing additional block generation, and keep the snapshot cache untouched.
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
// 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)
{
// GpuPrimeWorkLimiter.Acquire();
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
// Monitor.Enter(gpuLease.ExecutionLock);
PerfectNumbers.Core/Gpu/NttGpuMath.cs
+14 -6
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@@ -574,7 +574,8 @@ public static class NttGpuMath
{
int n = values.Length;
int bits = (int)Math.Log2(n);
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var pool = ThreadStaticPools.GpuUInt128Pool;
var array = pool.Rent(n);
values.CopyTo(array);
@@ -636,7 +637,8 @@ public static class NttGpuMath
private static void ForwardGpuReference(Span<GpuUInt128> values, GpuUInt128 modulus, GpuUInt128 primitiveRoot)
{
int n = (int)values.Length;
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
var pool = ThreadStaticPools.GpuUInt128Pool;
var inputArray = pool.Rent(n);
@@ -732,7 +734,8 @@ public static class NttGpuMath
private static void InverseGpuReference(Span<GpuUInt128> values, GpuUInt128 modulus, GpuUInt128 primitiveRoot)
{
int n = values.Length;
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
var pool = ThreadStaticPools.GpuUInt128Pool;
var inputArray = pool.Rent(n);
@@ -780,7 +783,8 @@ public static class NttGpuMath
private static void ForwardGpuStaged(Span<GpuUInt128> values, GpuUInt128 modulus, GpuUInt128 primitiveRoot)
{
int n = values.Length;
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
var buffer = accelerator.Allocate1D<GpuUInt128>(n);
buffer.View.CopyFromCPU(stream, ref values[0], n);
@@ -795,7 +799,8 @@ public static class NttGpuMath
private static void InverseGpuStaged(Span<GpuUInt128> values, GpuUInt128 modulus, GpuUInt128 primitiveRoot)
{
int n = values.Length;
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
var buffer = accelerator.Allocate1D<GpuUInt128>(n);
buffer.View.CopyFromCPU(stream, ref values[0], n);
@@ -998,9 +1003,12 @@ public static class NttGpuMath
InverseDevice(accelerator, stream, values, (int)values.Length, modulus, cache);
}
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
public static void PointwiseMultiply(Span<GpuUInt128> left, Span<GpuUInt128> right, GpuUInt128 modulus)
{
var accelerator = AcceleratorPool.Shared.Rent();
var acceleratorIndex = AcceleratorPool.Shared.Rent();
var accelerator = _accelerators[acceleratorIndex];
var stream = accelerator.CreateStream();
var pool = ThreadStaticPools.GpuUInt128Pool;
var leftArray = pool.Rent(left.Length);
PerfectNumbers.Core/Gpu/Pow2MontgomeryGpuCalculator.cs
+9 -6
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@@ -14,12 +14,13 @@ public static class Pow2MontgomeryGpuCalculator
ulong result = 0UL;
var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
int acceleratorIndex = gpu.AcceleratorIndex;
Accelerator? accelerator = gpu.Accelerator;
MemoryBuffer1D<ulong, Stride1D.Dense> exponentBuffer = gpu.Input;
MemoryBuffer1D<ulong, Stride1D.Dense> resultBuffer = gpu.OutputUlong;
var kernel = gpu.KeepMontgomeryKernel;
AcceleratorStream stream = AcceleratorStreamPool.Rent(accelerator);
AcceleratorStream stream = AcceleratorStreamPool.Rent(acceleratorIndex);
exponentBuffer.View.CopyFromCPU(stream, ref exponent, 1);
// We don't need to worry about any left-overs here.
@@ -31,7 +32,7 @@ public static class Pow2MontgomeryGpuCalculator
resultBuffer.View.CopyToCPU(stream, ref result, 1);
stream.Synchronize();
AcceleratorStreamPool.Return(stream);
AcceleratorStreamPool.Return(acceleratorIndex, stream);
// GpuPrimeWorkLimiter.Release();
PrimeOrderCalculatorAccelerator.Return(gpu);
@@ -48,7 +49,8 @@ public static class Pow2MontgomeryGpuCalculator
MemoryBuffer1D<ulong, Stride1D.Dense> exponentBuffer = gpu.Input;
MemoryBuffer1D<ulong, Stride1D.Dense> resultBuffer = gpu.OutputUlong;
AcceleratorStream stream = AcceleratorStreamPool.Rent(gpu.Accelerator);
int acceleratorIndex = gpu.AcceleratorIndex;
AcceleratorStream stream = AcceleratorStreamPool.Rent(acceleratorIndex);
exponentBuffer.View.CopyFromCPU(stream, ref exponent, 1);
// We don't need to worry about any left-overs here.
// resultBuffer.MemSetToZero(stream);
@@ -58,7 +60,7 @@ public static class Pow2MontgomeryGpuCalculator
resultBuffer.View.CopyToCPU(stream, ref result, 1);
stream.Synchronize();
AcceleratorStreamPool.Return(stream);
AcceleratorStreamPool.Return(acceleratorIndex, stream);
// GpuPrimeWorkLimiter.Release();
PrimeOrderCalculatorAccelerator.Return(gpu);
@@ -73,7 +75,8 @@ public static class Pow2MontgomeryGpuCalculator
MemoryBuffer1D<ulong, Stride1D.Dense> resultBuffer = gpu.OutputUlong;
var kernel = gpu.ConvertToStandardKernel;
AcceleratorStream stream = AcceleratorStreamPool.Rent(gpu.Accelerator);
int acceleratorIndex = gpu.AcceleratorIndex;
AcceleratorStream stream = AcceleratorStreamPool.Rent(acceleratorIndex);
exponentBuffer.View.CopyFromCPU(stream, ref exponent, 1);
// We don't need to worry about any left-overs here.
// resultBuffer.MemSetToZero(stream);
@@ -83,7 +86,7 @@ public static class Pow2MontgomeryGpuCalculator
resultBuffer.View.CopyToCPU(stream, ref result, 1);
stream.Synchronize();
AcceleratorStreamPool.Return(stream);
AcceleratorStreamPool.Return(acceleratorIndex, stream);
return result;
}
PerfectNumbers.Core/Gpu/PrimeOrderGpuHeuristics.cs
+12 -6
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@@ -205,6 +205,8 @@ internal static partial class PrimeOrderGpuHeuristics
return true;
}
private static readonly Accelerator[] _accelerators = AcceleratorPool.Shared.Accelerators;
private static bool TryLaunchPartialFactorKernel(
PrimeOrderCalculatorAccelerator gpu,
ulong value,
@@ -220,7 +222,8 @@ internal static partial class PrimeOrderGpuHeuristics
try
{
// GpuPrimeWorkLimiter.Acquire();
Accelerator accelerator = AcceleratorPool.Shared.Rent();
int acceleratorIndex = AcceleratorPool.Shared.Rent();
Accelerator accelerator = _accelerators[acceleratorIndex];
AcceleratorStream stream = accelerator.CreateStream();
SmallPrimeDeviceCache cache = GetSmallPrimeDeviceCache(accelerator, stream);
@@ -382,8 +385,9 @@ internal static partial class PrimeOrderGpuHeuristics
order = 0UL;
// GpuPrimeWorkLimiter.Acquire();
Accelerator accelerator = AcceleratorPool.Shared.Rent();
AcceleratorStream stream = AcceleratorStreamPool.Rent(accelerator);
int acceleratorIndex = AcceleratorPool.Shared.Rent();
Accelerator accelerator = _accelerators[acceleratorIndex];
AcceleratorStream stream = AcceleratorStreamPool.Rent(acceleratorIndex);
SmallPrimeDeviceCache cache = GetSmallPrimeDeviceCache(accelerator, stream);
// TODO: These buffers should be created reallocated once and assigned to an accelerator. Callers should use their own
@@ -553,7 +557,8 @@ internal static partial class PrimeOrderGpuHeuristics
private static bool TryComputeOnGpu(ReadOnlySpan<ulong> exponents, ulong prime, in MontgomeryDivisorData divisorData, Span<ulong> results)
{
// GpuPrimeWorkLimiter.Acquire();
Accelerator accelerator = AcceleratorPool.Shared.Rent();
int acceleratorIndex = AcceleratorPool.Shared.Rent();
Accelerator accelerator = _accelerators[acceleratorIndex];
AcceleratorStream? stream = accelerator.CreateStream();
// TODO: These buffers should be allocated once per accelerator and only reallocated when the new length exceeds capacity.
// Modify the callers to use their own pool of buffers per accelerator, so that other threads don't use the accelerators
@@ -630,19 +635,20 @@ internal static partial class PrimeOrderGpuHeuristics
GpuUInt128 modulus = (GpuUInt128)prime;
gpu = PrimeOrderCalculatorAccelerator.Rent(1);
int acceleratorIndex = gpu.AcceleratorIndex;
Accelerator accelerator = gpu.Accelerator;
MemoryBuffer1D<GpuUInt128, Stride1D.Dense> exponentBuffer = accelerator.Allocate1D<GpuUInt128>(length);
MemoryBuffer1D<GpuUInt128, Stride1D.Dense> remainderBuffer = accelerator.Allocate1D<GpuUInt128>(length);
AcceleratorStream? stream = AcceleratorStreamPool.Rent(accelerator);
AcceleratorStream? stream = AcceleratorStreamPool.Rent(acceleratorIndex);
exponentBuffer.View.CopyFromCPU(stream, exponentSpan);
gpu.Pow2ModWideKernel.Launch(stream, length, exponentBuffer.View, modulus, remainderBuffer.View);
remainderBuffer.View.CopyToCPU(stream, ref MemoryMarshal.GetReference(resultSpan), length);
stream.Synchronize();
AcceleratorStreamPool.Return(stream);
AcceleratorStreamPool.Return(acceleratorIndex, stream);
for (int i = 0; i < length; i++)
{
results[i] = (UInt128)resultSpan[i];