Isolate residue GPU leases and drop try/finally
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@@ -26,6 +26,7 @@ public sealed class MersenneNumberDivisorByDivisorGpuTester : IMersenneNumberDiv
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private readonly ConcurrentDictionary<Accelerator, Action<KernelConfig, Index1D, ArrayView<byte>, ArrayView<byte>, byte, byte>> _remainderScanKernelCache = new(AcceleratorReferenceComparer.Instance);
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private readonly ConcurrentDictionary<Accelerator, Action<KernelConfig, Index1D, ArrayView<byte>, ArrayView<byte>, byte, byte>> _remainderScanKernelCache = new(AcceleratorReferenceComparer.Instance);
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private readonly ConcurrentDictionary<Accelerator, Action<Index1D, ArrayView<byte>, ArrayView<byte>, ArrayView<byte>, ArrayView<byte>, byte, ArrayView<byte>>> _candidateMaskKernelCache = new(AcceleratorReferenceComparer.Instance);
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private readonly ConcurrentDictionary<Accelerator, Action<Index1D, ArrayView<byte>, ArrayView<byte>, ArrayView<byte>, ArrayView<byte>, byte, ArrayView<byte>>> _candidateMaskKernelCache = new(AcceleratorReferenceComparer.Instance);
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private readonly ConcurrentDictionary<Accelerator, ConcurrentBag<BatchResources>> _resourcePools = new(AcceleratorReferenceComparer.Instance);
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private readonly ConcurrentDictionary<Accelerator, ConcurrentBag<BatchResources>> _resourcePools = new(AcceleratorReferenceComparer.Instance);
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private readonly ConcurrentBag<GpuContextPool.GpuContextLease> _acceleratorPool = new();
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private readonly ConcurrentBag<DivisorScanSession> _sessionPool = new();
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private readonly ConcurrentBag<DivisorScanSession> _sessionPool = new();
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private Action<Index1D, ArrayView<MontgomeryDivisorData>, ArrayView<ulong>, ArrayView<byte>> GetKernel(Accelerator accelerator) =>
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private Action<Index1D, ArrayView<MontgomeryDivisorData>, ArrayView<ulong>, ArrayView<byte>> GetKernel(Accelerator accelerator) =>
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@@ -95,7 +96,7 @@ public sealed class MersenneNumberDivisorByDivisorGpuTester : IMersenneNumberDiv
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ulong processedCount;
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ulong processedCount;
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ulong lastProcessed;
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ulong lastProcessed;
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var gpuLease = GpuContextPool.RentPreferred(preferCpu: false);
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var gpuLease = RentAccelerator();
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var accelerator = gpuLease.Accelerator;
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var accelerator = gpuLease.Accelerator;
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Monitor.Enter(gpuLease.ExecutionLock);
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Monitor.Enter(gpuLease.ExecutionLock);
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@@ -104,34 +105,33 @@ public sealed class MersenneNumberDivisorByDivisorGpuTester : IMersenneNumberDiv
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var resources = RentBatchResources(accelerator, batchCapacity);
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var resources = RentBatchResources(accelerator, batchCapacity);
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composite = CheckDivisors(
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composite = CheckDivisors(
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prime,
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prime,
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allowedMax,
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allowedMax,
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accelerator,
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accelerator,
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kernel,
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kernel,
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resources.DivisorsBuffer,
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resources.DivisorsBuffer,
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resources.ExponentBuffer,
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resources.ExponentBuffer,
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resources.HitsBuffer,
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resources.HitsBuffer,
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resources.DivisorDeltaBuffer,
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resources.DivisorDeltaBuffer,
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resources.RemainderDeltaBuffer,
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resources.RemainderDeltaBuffer,
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resources.RemainderBuffer,
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resources.RemainderBuffer,
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resources.RemainderDeltaKernel,
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resources.RemainderDeltaKernel,
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resources.RemainderScanKernel,
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resources.RemainderScanKernel,
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resources.CandidateMaskKernel,
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resources.CandidateMaskKernel,
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resources.Divisors,
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resources.Divisors,
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resources.Exponents,
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resources.Exponents,
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resources.Hits,
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resources.Hits,
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resources.DivisorData,
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resources.DivisorData,
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resources.CycleCandidates,
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resources.CycleCandidates,
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resources.CycleLengths,
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resources.CycleLengths,
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resources.CycleCapacity,
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resources.CycleCapacity,
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out lastProcessed,
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out lastProcessed,
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out coveredRange,
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out coveredRange,
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out processedCount
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out processedCount);
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);
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ReturnBatchResources(accelerator, resources);
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ReturnBatchResources(accelerator, resources);
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Monitor.Exit(gpuLease.ExecutionLock);
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Monitor.Exit(gpuLease.ExecutionLock);
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gpuLease.Dispose();
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ReturnAccelerator(gpuLease);
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if (composite)
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if (composite)
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{
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{
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@@ -652,6 +652,18 @@ public sealed class MersenneNumberDivisorByDivisorGpuTester : IMersenneNumberDiv
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}
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}
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}
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}
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private GpuContextPool.GpuContextLease RentAccelerator()
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{
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if (_acceleratorPool.TryTake(out var lease))
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{
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return lease;
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}
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return GpuContextPool.RentPreferred(preferCpu: false);
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}
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private void ReturnAccelerator(GpuContextPool.GpuContextLease lease) => _acceleratorPool.Add(lease);
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private BatchResources RentBatchResources(Accelerator accelerator, int capacity)
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private BatchResources RentBatchResources(Accelerator accelerator, int capacity)
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{
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{
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var bag = _resourcePools.GetOrAdd(accelerator, static _ => []);
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var bag = _resourcePools.GetOrAdd(accelerator, static _ => []);
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@@ -1,5 +1,11 @@
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using System;
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using System.Buffers;
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using System.Buffers;
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using System.Collections.Concurrent;
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using System.Collections.Generic;
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using System.Runtime.InteropServices;
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using System.Runtime.InteropServices;
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using System.Threading;
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using System.Runtime.CompilerServices;
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using ILGPU;
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using ILGPU.Runtime;
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using ILGPU.Runtime;
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namespace PerfectNumbers.Core.Gpu;
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namespace PerfectNumbers.Core.Gpu;
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@@ -7,6 +13,10 @@ namespace PerfectNumbers.Core.Gpu;
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public class MersenneNumberResidueGpuTester(bool useGpuOrder)
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public class MersenneNumberResidueGpuTester(bool useGpuOrder)
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{
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{
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private readonly bool _useGpuOrder = useGpuOrder;
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private readonly bool _useGpuOrder = useGpuOrder;
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private readonly ConcurrentBag<GpuContextPool.GpuContextLease> _acceleratorPool = new();
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private readonly ConcurrentDictionary<Accelerator, 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>>> _pow2ModKernelCache = new(AcceleratorReferenceComparer.Instance);
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private readonly ConcurrentDictionary<Accelerator, ConcurrentBag<ResidueResources>> _resourcePools = new(AcceleratorReferenceComparer.Instance);
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// TODO: Integrate MersenneDivisorCycles.Shared to consult cycle lengths for small q (<= 4M) and fast-reject
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// TODO: Integrate MersenneDivisorCycles.Shared to consult cycle lengths for small q (<= 4M) and fast-reject
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// candidates without launching heavy kernels. Consider a device-visible constant buffer per-accelerator
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// candidates without launching heavy kernels. Consider a device-visible constant buffer per-accelerator
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// via GpuKernelPool to avoid host round-trips.
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// via GpuKernelPool to avoid host round-trips.
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@@ -16,106 +26,169 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
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// GPU residue variant: check 2^p % q == 1 for q = 2*p*k + 1.
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// GPU residue variant: check 2^p % q == 1 for q = 2*p*k + 1.
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public void Scan(ulong exponent, UInt128 twoP, bool lastIsSeven, UInt128 maxK, ref bool isPrime)
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public void Scan(ulong exponent, UInt128 twoP, bool lastIsSeven, UInt128 maxK, ref bool isPrime)
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{
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{
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var gpuLease = GpuKernelPool.GetKernel(_useGpuOrder);
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var limiter = GpuPrimeWorkLimiter.Acquire();
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var execution = gpuLease.EnterExecutionScope();
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var gpuLease = RentAccelerator();
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try
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var accelerator = gpuLease.Accelerator;
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Monitor.Enter(gpuLease.ExecutionLock);
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var stream = accelerator.CreateStream();
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var kernel = GetPow2ModKernel(accelerator);
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var resources = RentResources(accelerator, GpuConstants.ScanBatchSize);
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var orderBuffer = resources.OrderBuffer;
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ulong[] orderArray = resources.OrderArray;
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int batchSize = resources.Capacity;
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// Ensure device has small cycles and primes tables for in-kernel lookup
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var smallCyclesView = GpuKernelPool.EnsureSmallCyclesOnDevice(accelerator);
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ResiduePrimeViews primeViews = GpuKernelPool.EnsureSmallPrimesOnDevice(accelerator);
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UInt128 kStart = 1UL;
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UInt128 limit = maxK + UInt128.One;
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byte last = lastIsSeven ? (byte)1 : (byte)0;
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twoP.Mod10_8_5_3(out ulong step10, out ulong step8, out ulong step5, out ulong step3);
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step10 = step10.Mod10();
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GpuUInt128 twoPGpu = (GpuUInt128)twoP;
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UInt128 batchSize128 = (UInt128)batchSize;
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UInt128 fullBatchStep = twoP * batchSize128;
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UInt128 q = twoP * kStart + UInt128.One;
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while (kStart < limit && Volatile.Read(ref isPrime))
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{
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{
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var accelerator = gpuLease.Accelerator;
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UInt128 remaining = limit - kStart;
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var stream = gpuLease.Stream;
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int currentSize = remaining > batchSize128 ? batchSize : (int)remaining;
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Span<ulong> orders = orderArray.AsSpan(0, currentSize);
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ref ulong ordersRef = ref MemoryMarshal.GetReference(orders);
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// Ensure device has small cycles and primes tables for in-kernel lookup
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q.Mod10_8_5_3(out ulong q0m10, out ulong q0m8, out ulong q0m5, out ulong q0m3);
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var smallCyclesView = GpuKernelPool.EnsureSmallCyclesOnDevice(accelerator);
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var kernelArgs = new ResidueAutomatonArgs(q0m10, step10, q0m8, step8, q0m3, step3, q0m5, step5);
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ResiduePrimeViews primeViews = GpuKernelPool.EnsureSmallPrimesOnDevice(accelerator);
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int batchSize = GpuConstants.ScanBatchSize;
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kernel(stream, currentSize, exponent, twoPGpu, (GpuUInt128)kStart, last, 0UL,
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UInt128 kStart = 1UL;
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kernelArgs, orderBuffer.View, smallCyclesView, primeViews.LastOne, primeViews.LastSeven, primeViews.LastOnePow2, primeViews.LastSevenPow2);
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UInt128 limit = maxK + UInt128.One;
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byte last = lastIsSeven ? (byte)1 : (byte)0;
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var kernel = gpuLease.Pow2ModKernel;
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twoP.Mod10_8_5_3(out ulong step10, out ulong step8, out ulong step5, out ulong step3);
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step10 = step10.Mod10();
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GpuUInt128 twoPGpu = (GpuUInt128)twoP;
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stream.Synchronize();
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orderBuffer.View.CopyToCPU(ref ordersRef, currentSize);
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var orderBuffer = accelerator.Allocate1D<ulong>(batchSize);
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if (!Volatile.Read(ref isPrime))
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// Device memory returned by Allocate1D is not guaranteed to be zeroed.
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// Ensure the buffer starts with a known state so that lanes skipped by the
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// kernel (for example due to early rejections) do not leave stale garbage
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// values that would be interpreted as composite witnesses when copied back
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// to the host. This mirrors the explicit zeroing performed by other GPU
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// testers such as the order kernels.
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orderBuffer.MemSetToZero();
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ulong[] orderArray = ArrayPool<ulong>.Shared.Rent(batchSize);
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try
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{
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{
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UInt128 batchSize128 = (UInt128)batchSize;
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break;
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UInt128 fullBatchStep = twoP * batchSize128;
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}
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UInt128 q = twoP * kStart + UInt128.One;
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// TODO: Replace the direct UInt128 multiply/add updates below with the residue-cycle stepping helper so that q advances
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// reuse cached cycle increments rather than recomputing twoP multiples on every iteration.
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while (kStart < limit && Volatile.Read(ref isPrime))
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bool compositeFound = false;
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for (int i = 0; i < currentSize; i++)
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{
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if (orders[i] != 0UL)
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{
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{
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UInt128 remaining = limit - kStart;
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Volatile.Write(ref isPrime, false);
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int currentSize = remaining > batchSize128 ? batchSize : (int)remaining;
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compositeFound = true;
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Span<ulong> orders = orderArray.AsSpan(0, currentSize);
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break;
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ref ulong ordersRef = ref MemoryMarshal.GetReference(orders);
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q.Mod10_8_5_3(out ulong q0m10, out ulong q0m8, out ulong q0m5, out ulong q0m3);
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var kernelArgs = new ResidueAutomatonArgs(q0m10, step10, q0m8, step8, q0m3, step3, q0m5, step5);
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kernel(stream, currentSize, exponent, twoPGpu, (GpuUInt128)kStart, last, 0UL,
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kernelArgs, orderBuffer.View, smallCyclesView, primeViews.LastOne, primeViews.LastSeven, primeViews.LastOnePow2, primeViews.LastSevenPow2);
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accelerator.Synchronize();
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orderBuffer.View.CopyToCPU(ref ordersRef, currentSize);
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if (!Volatile.Read(ref isPrime))
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{
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break;
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}
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bool compositeFound = false;
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for (int i = 0; i < currentSize; i++)
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{
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if (orders[i] != 0UL)
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{
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Volatile.Write(ref isPrime, false);
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compositeFound = true;
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break;
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}
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}
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if (compositeFound)
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{
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break;
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}
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UInt128 processed = (UInt128)currentSize;
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kStart += processed;
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if (kStart < limit)
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{
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if (processed == batchSize128)
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{
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q += fullBatchStep;
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}
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else
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{
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q += twoP * processed; // TODO: Swap this multiplication for the shared cycle stepping helper once residue cycles are mandatory so we can reuse the cached remainder ladder instead of performing UInt128 multiply operations.
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}
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}
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}
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}
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}
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}
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finally
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if (compositeFound)
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{
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{
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ArrayPool<ulong>.Shared.Return(orderArray, clearArray: false);
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break;
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orderBuffer.Dispose();
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}
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UInt128 processed = (UInt128)currentSize;
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kStart += processed;
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if (kStart < limit)
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{
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if (processed == batchSize128)
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{
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q += fullBatchStep;
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}
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else
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{
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q += twoP * processed; // TODO: Swap this multiplication for the shared cycle stepping helper once residue cycles are mandatory so we can reuse the cached remainder ladder instead of performing UInt128 multiply operations.
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}
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}
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}
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}
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}
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finally
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ReturnResources(accelerator, resources);
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stream.Dispose();
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Monitor.Exit(gpuLease.ExecutionLock);
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ReturnAccelerator(gpuLease);
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limiter.Dispose();
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}
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private Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>> GetPow2ModKernel(Accelerator accelerator) =>
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_pow2ModKernelCache.GetOrAdd(
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accelerator,
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static acc =>
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{
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var loaded = acc.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);
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return (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>>)Delegate.CreateDelegate(
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typeof(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>>),
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loaded.Target,
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loaded.Method);
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});
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private GpuContextPool.GpuContextLease RentAccelerator()
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{
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if (_acceleratorPool.TryTake(out var lease))
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{
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{
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execution.Dispose();
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return lease;
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gpuLease.Dispose();
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}
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return GpuContextPool.RentPreferred(preferCpu: !_useGpuOrder);
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}
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private void ReturnAccelerator(GpuContextPool.GpuContextLease lease) => _acceleratorPool.Add(lease);
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private ResidueResources RentResources(Accelerator accelerator, int capacity)
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{
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var bag = _resourcePools.GetOrAdd(accelerator, static _ => new ConcurrentBag<ResidueResources>());
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while (bag.TryTake(out var resources))
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{
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if (resources.Capacity >= capacity)
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{
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resources.OrderBuffer.MemSetToZero();
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return resources;
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}
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resources.Dispose();
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}
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var created = new ResidueResources(accelerator, capacity);
|
||||||
|
created.OrderBuffer.MemSetToZero();
|
||||||
|
return created;
|
||||||
|
}
|
||||||
|
|
||||||
|
private void ReturnResources(Accelerator accelerator, ResidueResources resources) =>
|
||||||
|
_resourcePools.GetOrAdd(accelerator, static _ => new ConcurrentBag<ResidueResources>()).Add(resources);
|
||||||
|
|
||||||
|
private sealed class ResidueResources : IDisposable
|
||||||
|
{
|
||||||
|
internal ResidueResources(Accelerator accelerator, int capacity)
|
||||||
|
{
|
||||||
|
Capacity = Math.Max(1, capacity);
|
||||||
|
OrderBuffer = accelerator.Allocate1D<ulong>(Capacity);
|
||||||
|
OrderArray = ArrayPool<ulong>.Shared.Rent(Capacity);
|
||||||
|
}
|
||||||
|
|
||||||
|
internal MemoryBuffer1D<ulong, Stride1D.Dense> OrderBuffer { get; }
|
||||||
|
|
||||||
|
internal ulong[] OrderArray { get; }
|
||||||
|
|
||||||
|
internal int Capacity { get; }
|
||||||
|
|
||||||
|
public void Dispose()
|
||||||
|
{
|
||||||
|
OrderBuffer.Dispose();
|
||||||
|
ArrayPool<ulong>.Shared.Return(OrderArray, clearArray: false);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
private sealed class AcceleratorReferenceComparer : IEqualityComparer<Accelerator>
|
||||||
|
{
|
||||||
|
public static AcceleratorReferenceComparer Instance { get; } = new();
|
||||||
|
|
||||||
|
public bool Equals(Accelerator? x, Accelerator? y) => ReferenceEquals(x, y);
|
||||||
|
|
||||||
|
public int GetHashCode(Accelerator obj) => RuntimeHelpers.GetHashCode(obj);
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
}
|
}
|
||||||
Reference in new issue
Block a user