Remove GPU context creation lock
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c39a99a4fd
commit
de7ddd8db3
10 files changed
+17
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@@ -227,7 +227,6 @@ public sealed class DivisorCycleCache
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{
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int length = divisors.Length;
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var gpuLease = GpuKernelPool.GetKernel(useGpuOrder: true);
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var execution = gpuLease.EnterExecutionScope();
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Accelerator accelerator = gpuLease.Accelerator;
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var kernel = _gpuKernelCache.GetOrAdd(accelerator, LoadKernel);
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@@ -309,7 +308,6 @@ public sealed class DivisorCycleCache
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ArrayPool<byte>.Shared.Return(rentedStatus!, clearArray: false);
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}
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execution.Dispose();
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gpuLease.Dispose();
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}
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@@ -47,7 +47,6 @@ public static class GpuContextPool
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private static readonly ConcurrentQueue<PooledContext> CpuPool = new();
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private static readonly ConcurrentQueue<PooledContext> GpuPool = new();
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private static readonly object CreationLock = new();
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public static GpuContextLease Rent()
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{
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@@ -61,20 +60,17 @@ public static class GpuContextPool
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{
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if (preferCpu && CpuPool.TryDequeue(out var cpu))
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{
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return new GpuContextLease(cpu, CreationLock);
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return new GpuContextLease(cpu);
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}
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if (!preferCpu && GpuPool.TryDequeue(out var gpu))
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{
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return new GpuContextLease(gpu, CreationLock);
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return new GpuContextLease(gpu);
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}
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}
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// Serialize accelerator creation to avoid concurrent CL device/stream setup across threads.
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lock (CreationLock)
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{
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return new GpuContextLease(new PooledContext(preferCpu), CreationLock);
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}
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// Create a new accelerator when the pool does not have one available.
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return new GpuContextLease(new PooledContext(preferCpu));
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}
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public static void DisposeAll()
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@@ -114,10 +110,7 @@ public static class GpuContextPool
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else
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{
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lock (CreationLock)
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{
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ctx.Dispose();
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}
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ctx.Dispose();
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}
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}
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@@ -125,18 +118,15 @@ public static class GpuContextPool
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{
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private readonly PooledContext _ctx;
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internal GpuContextLease(PooledContext ctx, object kernelInitLock)
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internal GpuContextLease(PooledContext ctx)
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{
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_ctx = ctx;
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KernelInitLock = kernelInitLock;
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}
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public Context Context => _ctx.Context;
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public Accelerator Accelerator => _ctx.Accelerator;
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public object KernelInitLock { get; }
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public object ExecutionLock => _ctx.ExecutionLock;
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@@ -14,7 +14,6 @@ public sealed class GpuKernelLease
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private GpuContextLease? _gpu;
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private KernelContainer? _kernels;
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private AcceleratorStream? _stream;
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private object? _executionLock;
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private GpuKernelLease()
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{
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@@ -31,7 +30,6 @@ public sealed class GpuKernelLease
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lease._gpu = gpu;
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lease._kernels = kernels;
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lease._stream = null;
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lease._executionLock = gpu.ExecutionLock;
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return lease;
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}
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@@ -53,14 +51,12 @@ public sealed class GpuKernelLease
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}
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}
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public ExecutionScope EnterExecutionScope() => new ExecutionScope(_executionLock);
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public Action<AcceleratorStream, Index1D, ulong, ulong, ArrayView<GpuUInt128>, ArrayView<ulong>> OrderKernel
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{
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get
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{
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var accel = Accelerator; // avoid capturing 'this' in lambda
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lock (_gpu!.Value.KernelInitLock)
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lock (_gpu!.Value.ExecutionLock)
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{
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return KernelContainer.InitOnce(ref _kernels!.Order, () =>
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{
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@@ -77,7 +73,7 @@ public sealed class GpuKernelLease
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get
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{
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var accel = Accelerator;
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lock (_gpu!.Value.KernelInitLock)
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lock (_gpu!.Value.ExecutionLock)
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{
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return KernelContainer.InitOnce(ref _kernels!.Pow2Mod, () =>
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{
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@@ -94,7 +90,7 @@ public sealed class GpuKernelLease
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get
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{
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var accel = Accelerator;
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lock (_gpu!.Value.KernelInitLock)
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lock (_gpu!.Value.ExecutionLock)
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{
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return KernelContainer.InitOnce(ref _kernels!.Incremental, () =>
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{
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@@ -111,7 +107,7 @@ public sealed class GpuKernelLease
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get
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{
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var accel = Accelerator;
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lock (_gpu!.Value.KernelInitLock)
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lock (_gpu!.Value.ExecutionLock)
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{
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return KernelContainer.InitOnce(ref _kernels!.IncrementalOrder, () =>
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{
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@@ -128,7 +124,7 @@ public sealed class GpuKernelLease
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get
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{
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var accel = Accelerator;
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lock (_gpu!.Value.KernelInitLock)
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lock (_gpu!.Value.ExecutionLock)
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{
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return KernelContainer.InitOnce(ref _kernels!.Pow2ModOrder, () =>
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{
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@@ -145,7 +141,7 @@ public sealed class GpuKernelLease
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get
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{
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var accel = Accelerator;
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lock (_gpu!.Value.KernelInitLock)
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lock (_gpu!.Value.ExecutionLock)
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{
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return KernelContainer.InitOnce(ref _kernels!.SmallPrimeFactor, () =>
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{
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@@ -165,8 +161,6 @@ public sealed class GpuKernelLease
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_gpu?.Dispose();
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_gpu = null;
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_executionLock = null;
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_releaseLimiter?.Invoke();
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_releaseLimiter = null;
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@@ -174,25 +168,4 @@ public sealed class GpuKernelLease
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Pool.Enqueue(this);
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}
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public readonly struct ExecutionScope
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{
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private readonly object? _lock;
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public ExecutionScope(object? sync)
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{
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_lock = sync;
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if (_lock is not null)
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{
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Monitor.Enter(_lock);
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}
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}
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public void Dispose()
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{
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if (_lock is not null)
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{
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Monitor.Exit(_lock);
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}
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}
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}
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}
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@@ -293,12 +293,10 @@ public class GpuKernelPool
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public static void Run(Action<Accelerator, AcceleratorStream> action)
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{
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var lease = GetKernel(useGpuOrder: true);
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var execution = lease.EnterExecutionScope();
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var accelerator = lease.Accelerator;
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var stream = accelerator.CreateStream();
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action(accelerator, stream);
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stream.Dispose();
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execution.Dispose();
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lease.Dispose();
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}
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@@ -17,7 +17,6 @@ public class MersenneNumberIncrementalGpuTester(GpuKernelType kernelType, bool u
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throw new NotImplementedException($"GPU incremental scanning requires the device cycle heuristics implementation (kernel: {_kernelType}, GPU order: {_useGpuOrder}).");
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var gpuLease = GpuKernelPool.GetKernel(_useGpuOrder);
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var execution = gpuLease.EnterExecutionScope();
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var accelerator = gpuLease.Accelerator;
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var stream = gpuLease.Stream;
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int batchSize = GpuConstants.ScanBatchSize; // large batch improves GPU occupancy
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@@ -123,7 +122,6 @@ public class MersenneNumberIncrementalGpuTester(GpuKernelType kernelType, bool u
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ArrayPool<ulong>.Shared.Return(orderArray);
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orderBuffer.Dispose();
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execution.Dispose();
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gpuLease.Dispose();
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}
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}
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@@ -10,7 +10,6 @@ public class MersenneNumberOrderGpuTester(GpuKernelType kernelType, bool useGpuO
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public void Scan(ulong exponent, UInt128 twoP, LastDigit lastDigit, UInt128 maxK, ref bool isPrime)
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{
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var gpuLease = GpuKernelPool.GetKernel(_useGpuOrder);
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var execution = gpuLease.EnterExecutionScope();
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var accelerator = gpuLease.Accelerator;
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var stream = gpuLease.Stream;
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int batchSize = GpuConstants.ScanBatchSize; // large batch improves GPU occupancy and avoids TDR
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@@ -61,7 +60,6 @@ public class MersenneNumberOrderGpuTester(GpuKernelType kernelType, bool useGpuO
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}
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foundBuffer.Dispose();
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execution.Dispose();
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gpuLease.Dispose();
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}
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}
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@@ -194,21 +194,20 @@ internal static partial class PrimeOrderGpuHeuristics
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try
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{
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var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
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var execution = lease.EnterExecutionScope();
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Accelerator accelerator = lease.Accelerator;
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AcceleratorStream stream = lease.Stream;
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var kernel = GetPartialFactorKernel(accelerator);
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SmallPrimeDeviceCache cache = GetSmallPrimeDeviceCache(accelerator);
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SmallPrimeDeviceCache cache = GetSmallPrimeDeviceCache(accelerator);
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// TODO: We should create / reallocate these buffer only once or if the new required length is bigger than capacity.
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// TODO: We should create / reallocate these buffer only once or if the new required length is bigger than capacity.
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var factorBuffer = accelerator.Allocate1D<ulong>(primeTargets.Length);
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var exponentBuffer = accelerator.Allocate1D<int>(exponentTargets.Length);
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var countBuffer = accelerator.Allocate1D<int>(1);
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var remainingBuffer = accelerator.Allocate1D<ulong>(1);
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var fullyFactoredBuffer = accelerator.Allocate1D<byte>(1);
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// TODO: There is no need to clear these buffers because the kernel will always assign values within the required bounds.
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// TODO: There is no need to clear these buffers because the kernel will always assign values within the required bounds.
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// factorBuffer.MemSetToZero();
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// exponentBuffer.MemSetToZero();
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// countBuffer.MemSetToZero();
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@@ -242,13 +241,12 @@ internal static partial class PrimeOrderGpuHeuristics
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fullyFactoredBuffer.View.CopyToCPU(ref fullyFactoredFlag, 1);
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fullyFactored = fullyFactoredFlag != 0;
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// TODO: These buffers shouldn't be disposed but rather reused accross call with the assigned accelerator.
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// TODO: These buffers shouldn't be disposed but rather reused accross call with the assigned accelerator.
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factorBuffer.Dispose();
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exponentBuffer.Dispose();
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countBuffer.Dispose();
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remainingBuffer.Dispose();
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fullyFactoredBuffer.Dispose();
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execution.Dispose();
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lease.Dispose();
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return true;
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}
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@@ -362,12 +360,11 @@ internal static partial class PrimeOrderGpuHeuristics
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order = 0UL;
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var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
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var execution = lease.EnterExecutionScope();
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Accelerator accelerator = lease.Accelerator;
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AcceleratorStream stream = lease.Stream;
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var kernel = GetOrderKernel(accelerator);
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SmallPrimeDeviceCache cache = GetSmallPrimeDeviceCache(accelerator);
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SmallPrimeDeviceCache cache = GetSmallPrimeDeviceCache(accelerator);
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// TODO: These buffers should be created reallocated once and assigned to an accelerator. Callers should use their own
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// thread static cache to prevent other threads from using taking accelerators with pre-allocated buffers if they don't
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@@ -467,7 +464,6 @@ internal static partial class PrimeOrderGpuHeuristics
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stackProductBuffer.Dispose();
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resultBuffer.Dispose();
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statusBuffer.Dispose();
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execution.Dispose();
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}
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}
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@@ -526,7 +522,6 @@ internal static partial class PrimeOrderGpuHeuristics
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private static bool TryComputeOnGpu(ReadOnlySpan<ulong> exponents, ulong prime, in MontgomeryDivisorData divisorData, Span<ulong> results)
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{
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var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
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var execution = lease.EnterExecutionScope();
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Accelerator accelerator = lease.Accelerator;
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AcceleratorStream stream = lease.Stream;
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var kernel = GetPow2ModKernel(accelerator);
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@@ -551,7 +546,6 @@ internal static partial class PrimeOrderGpuHeuristics
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Console.WriteLine($"Exception for {prime} and exponents: {string.Join(",", exponents.ToArray())}.");
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exponentBuffer.Dispose();
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remainderBuffer.Dispose();
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execution.Dispose();
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lease.Dispose();
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throw;
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}
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@@ -559,7 +553,6 @@ internal static partial class PrimeOrderGpuHeuristics
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remainderBuffer.View.CopyToCPU(ref MemoryMarshal.GetReference(results), exponents.Length);
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exponentBuffer.Dispose();
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remainderBuffer.Dispose();
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execution.Dispose();
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lease.Dispose();
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return true;
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}
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@@ -587,7 +580,6 @@ internal static partial class PrimeOrderGpuHeuristics
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try
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{
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var execution = lease.EnterExecutionScope();
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Accelerator accelerator = lease.Accelerator;
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AcceleratorStream stream = lease.Stream;
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var kernel = GetPow2ModWideKernel(accelerator);
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@@ -628,7 +620,6 @@ internal static partial class PrimeOrderGpuHeuristics
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exponentBuffer.Dispose();
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remainderBuffer.Dispose();
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execution.Dispose();
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return true;
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}
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catch (Exception)
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@@ -147,7 +147,6 @@ public sealed class MersenneNumberTester(
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UInt128[] qs = qsBuffer;
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var gpuLease = GpuKernelPool.GetKernel(_useGpuOrder);
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var execution = gpuLease.EnterExecutionScope();
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var accelerator = gpuLease.Accelerator;
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var stream = gpuLease.Stream;
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var orderKernel = gpuLease.OrderKernel!;
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@@ -194,7 +193,6 @@ public sealed class MersenneNumberTester(
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qBuffer.Dispose();
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}
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execution.Dispose();
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gpuLease.Dispose();
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ArrayPool<UInt128>.Shared.Return(qs);
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}
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@@ -22,7 +22,6 @@ internal static partial class PrimeOrderCalculator
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remaining = value;
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var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
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var execution = lease.EnterExecutionScope();
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Accelerator accelerator = lease.Accelerator;
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AcceleratorStream stream = lease.Stream;
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@@ -64,7 +63,6 @@ internal static partial class PrimeOrderCalculator
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counts.Add(primeValue, exponent);
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}
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execution.Dispose();
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lease.Dispose();
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ThreadStaticPools.UlongPool.Return(primeBufferArray);
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ThreadStaticPools.IntPool.Return(exponentBufferArray);
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@@ -417,7 +417,6 @@ public static partial class ULongExtensions
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ulong result = 0UL;
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GpuKernelLease lease = GpuKernelPool.GetKernel(useGpuOrder: true);
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var execution = lease.EnterExecutionScope();
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Accelerator accelerator = lease.Accelerator;
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// Keep this commented out. It should never happen in production code.
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@@ -444,7 +443,6 @@ public static partial class ULongExtensions
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resultBuffer.Dispose();
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exponentBuffer.Dispose();
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execution.Dispose();
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lease.Dispose();
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// Keep this commented. We don't want to catch any exceptions. All should crash the scanner.
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// catch (AcceleratorException)
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