Various optimizations to separate non-static data between threads and resolve read/write access issue.
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@@ -4,6 +4,21 @@ using ILGPU.Runtime;
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namespace PerfectNumbers.Core.Gpu;
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public sealed class GpuContextLease
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{
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private GpuContextPool.PooledContext? _ctx;
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internal GpuContextLease(GpuContextPool.PooledContext ctx)
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{
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_ctx = ctx;
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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 void Dispose() => GpuContextPool.Return(_ctx!);
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}
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public static class GpuContextPool
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{
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// The pool intentionally skips pre-loading ProcessEightBitWindows kernels so accelerator initialization
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@@ -14,12 +29,10 @@ public static class GpuContextPool
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public readonly Context Context;
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public readonly Accelerator Accelerator;
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public PooledContext(KernelContainer kernels)
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public PooledContext()
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{
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Context = SharedGpuContext.Context;
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Accelerator = SharedGpuContext.Accelerator;
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GpuStaticTableInitializer.EnsureStaticTables(kernels, Accelerator);
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kernels.Dispose();
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// NOTE: Avoid loading/compiling any kernel here to prevent implicit
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// CL stream/queue creation during accelerator construction.
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// Some OpenCL drivers are fragile when a queue is created immediately
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@@ -29,11 +42,9 @@ public static class GpuContextPool
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public void Dispose()
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{
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// Ensure all cached GPU buffers for this accelerator are released.
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NttGpuMath.ClearCaches(Accelerator);
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// Release PrimeTester GPU state for this accelerator (kernel/device primes)
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// Clear any per-accelerator cached resources to avoid releasing
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// after the accelerator is destroyed.
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PrimeTester.ClearGpuCaches(Accelerator);
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// These resources are shared between GPU leases
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// Accelerator.Dispose();
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@@ -53,7 +64,7 @@ public static class GpuContextPool
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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(GpuKernelPool.GetKernels()));
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return new GpuContextLease(new PooledContext());
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}
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@@ -71,8 +82,7 @@ public static class GpuContextPool
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PooledContext context;
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for (int i = 0; i < toCreate; i++)
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{
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KernelContainer kernels = GpuKernelPool.GetKernels();
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context = new PooledContext(kernels);
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context = new PooledContext();
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contexts[i] = context;
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pool.Enqueue(context);
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}
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@@ -87,41 +97,12 @@ public static class GpuContextPool
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gpu.Dispose();
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}
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PrimeTester.DisposeGpuContexts();
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WarmedGpuContextCount = 0;
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}
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private static void Return(PooledContext ctx)
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internal static void Return(PooledContext ctx)
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{
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ctx.Accelerator.Synchronize();
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// ctx.Accelerator.Synchronize();
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GpuPool.Enqueue(ctx);
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}
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public struct GpuContextLease
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{
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private PooledContext? _ctx;
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private bool _disposed;
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internal GpuContextLease(PooledContext ctx)
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{
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_ctx = ctx;
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_disposed = false;
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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 void Dispose()
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{
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if (_disposed)
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{
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return;
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}
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_disposed = true;
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Return(_ctx!);
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_ctx = null;
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}
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}
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}
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}
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@@ -1,9 +1,6 @@
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using System;
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using System.Collections.Concurrent;
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using ILGPU;
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using ILGPU.Runtime;
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using PerfectNumbers.Core;
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using static PerfectNumbers.Core.Gpu.GpuContextPool;
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namespace PerfectNumbers.Core.Gpu;
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@@ -11,11 +8,13 @@ public sealed class GpuKernelLease
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{
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private static readonly ConcurrentQueue<GpuKernelLease> Pool = new();
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private GpuContextLease? _gpu;
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private GpuContextLease _gpu;
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public KernelContainer Kernels;
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private AcceleratorStream? _stream;
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public AcceleratorStream Stream;
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private GpuKernelLease(KernelContainer kernels)
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#pragma warning disable CS8618 // _gpu and Stream will be set by Rent method
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private GpuKernelLease(KernelContainer kernels)
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#pragma warning restore CS8618
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{
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Kernels = kernels;
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}
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@@ -28,35 +27,19 @@ public sealed class GpuKernelLease
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}
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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.Kernels = kernels;
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lease.Stream = gpu.Accelerator.CreateStream();
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return lease;
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}
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public Accelerator Accelerator => _gpu?.Accelerator ?? throw new NullReferenceException("GPU context is already released");
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public AcceleratorStream Stream
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{
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get
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{
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if (_stream is { } stream)
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{
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return stream;
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}
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// It feels that we can combine these into 1 return statement, but that increases the max stack frame size to 3 from 2
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stream = Accelerator.CreateStream();
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_stream = stream;
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return stream;
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}
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}
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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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return KernelContainer.InitOnce(ref Kernels!.Order, () =>
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return GpuKernelPool.InitOnce(ref Kernels!.Order, () =>
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{
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var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, ulong, ArrayView<GpuUInt128>, ArrayView<ulong>>(OrderKernels.OrderKernelScan);
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var kernel = KernelUtil.GetKernel(loaded);
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@@ -70,7 +53,7 @@ public sealed class GpuKernelLease
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get
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{
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var accel = Accelerator;
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return KernelContainer.InitOnce(ref Kernels!.Pow2Mod, () =>
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return GpuKernelPool.InitOnce(ref Kernels!.Pow2Mod, () =>
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{
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var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>(Pow2ModKernels.Pow2ModKernelScan);
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var kernel = KernelUtil.GetKernel(loaded);
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@@ -84,7 +67,7 @@ public sealed class GpuKernelLease
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get
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{
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var accel = Accelerator;
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return KernelContainer.InitOnce(ref Kernels!.Incremental, () =>
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return GpuKernelPool.InitOnce(ref Kernels!.Incremental, () =>
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{
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var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ulong, ulong, ulong, ulong, ArrayView<ulong>, ArrayView1D<ulong, Stride1D.Dense>>(IncrementalKernels.IncrementalKernelScan);
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var kernel = KernelUtil.GetKernel(loaded);
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@@ -98,7 +81,7 @@ public sealed class GpuKernelLease
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get
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{
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var accel = Accelerator;
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return KernelContainer.InitOnce(ref Kernels!.IncrementalOrder, () =>
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return GpuKernelPool.InitOnce(ref Kernels!.IncrementalOrder, () =>
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{
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var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>(IncrementalKernels.IncrementalOrderKernelScan);
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var kernel = KernelUtil.GetKernel(loaded);
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@@ -112,7 +95,7 @@ public sealed class GpuKernelLease
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get
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{
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var accel = Accelerator;
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return KernelContainer.InitOnce(ref Kernels!.Pow2ModOrder, () =>
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return GpuKernelPool.InitOnce(ref Kernels!.Pow2ModOrder, () =>
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{
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var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong, ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>(Pow2ModKernels.Pow2ModOrderKernelScan);
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var kernel = KernelUtil.GetKernel(loaded);
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@@ -121,16 +104,16 @@ public sealed class GpuKernelLease
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}
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}
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public Action<AcceleratorStream, Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ushort, Stride1D.Dense>> SpecialMaxKernel
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public Action<AcceleratorStream, Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>> SpecialMaxKernel
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{
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get
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{
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var accel = Accelerator;
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return KernelContainer.InitOnce(ref Kernels!.SpecialMax, () =>
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return GpuKernelPool.InitOnce(ref Kernels!.SpecialMax, () =>
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{
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var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ushort, Stride1D.Dense>>(PrimeOrderGpuHeuristics.EvaluateSpecialMaxCandidatesKernel);
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var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>(PrimeOrderGpuHeuristics.EvaluateSpecialMaxCandidatesKernel);
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var kernel = KernelUtil.GetKernel(loaded);
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return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ushort, Stride1D.Dense>>>();
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return kernel.CreateLauncherDelegate<Action<AcceleratorStream, Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>>();
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});
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}
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}
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@@ -140,7 +123,7 @@ public sealed class GpuKernelLease
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get
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{
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var accel = Accelerator;
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return KernelContainer.InitOnce(ref Kernels!.SmallPrimeFactor, () =>
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return GpuKernelPool.InitOnce(ref Kernels!.SmallPrimeFactor, () =>
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{
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var loaded = accel.LoadAutoGroupedStreamKernel<Index1D, ulong, uint, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>, int, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>(SmallPrimeFactorKernels.SmallPrimeFactorKernelScan);
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var kernel = KernelUtil.GetKernel(loaded);
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@@ -151,15 +134,10 @@ public sealed class GpuKernelLease
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public void Dispose()
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{
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_stream?.Dispose();
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_stream = null;
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_gpu?.Dispose();
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_gpu = null;
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Kernels?.Dispose();
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GpuPrimeWorkLimiter.Release();
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Stream.Dispose();
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_gpu.Dispose();
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Pool.Enqueue(this);
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GpuPrimeWorkLimiter.Release();
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}
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}
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@@ -1,4 +1,3 @@
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using PerfectNumbers.Core;
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using System.Collections.Concurrent;
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using ILGPU;
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using ILGPU.Runtime;
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@@ -23,7 +22,8 @@ public readonly struct ResidueAutomatonArgs
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}
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}
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public sealed class KernelContainer
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public sealed class KernelContainer : IDisposable
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{
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// Serializes first-time initialization of kernels/buffers per accelerator.
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public Action<AcceleratorStream, Index1D, ulong, ulong, ArrayView<GpuUInt128>, ArrayView<ulong>>? Order;
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@@ -38,42 +38,37 @@ public sealed class KernelContainer
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public Action<AcceleratorStream, Index1D, ulong, GpuUInt128, GpuUInt128, byte, ulong,
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ResidueAutomatonArgs, ArrayView<int>, ArrayView1D<ulong, Stride1D.Dense>>? Pow2ModOrder;
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public Action<AcceleratorStream, Index1D, ulong, uint, ArrayView1D<uint, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>, int, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<int, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>? SmallPrimeFactor;
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public Action<AcceleratorStream, Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ushort, Stride1D.Dense>>? SpecialMax;
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public Action<AcceleratorStream, Index1D, ulong, ArrayView1D<ulong, Stride1D.Dense>, int, MontgomeryDivisorData, ArrayView1D<ulong, Stride1D.Dense>, ArrayView1D<ulong, Stride1D.Dense>>? SpecialMax;
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// Optional device buffer with small divisor cycles (<= 4M). Index = divisor, value = cycle length.
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public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallCycles;
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public MemoryBuffer1D<uint, Stride1D.Dense>? SmallPrimeFactorsPrimes;
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public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimeFactorsSquares;
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public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimeFactorPrimeSlots;
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public MemoryBuffer1D<int, Stride1D.Dense>? SmallPrimeFactorExponentSlots;
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public MemoryBuffer1D<int, Stride1D.Dense>? SmallPrimeFactorCountSlot;
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public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimeFactorRemainingSlot;
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public MemoryBuffer1D<ulong, Stride1D.Dense>? SpecialMaxFactors;
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public MemoryBuffer1D<ulong, Stride1D.Dense>? SpecialMaxCandidates;
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public MemoryBuffer1D<ushort, Stride1D.Dense>? SpecialMaxResult;
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public MemoryBuffer1D<uint, Stride1D.Dense>? SmallPrimesLastOne;
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public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimesPow2LastOne;
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public MemoryBuffer1D<uint, Stride1D.Dense>? SmallPrimesLastSeven;
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public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimesPow2LastOne;
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public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimesPow2LastSeven;
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public static T InitOnce<T>(ref T? slot, Func<T> factory) where T : class
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public MemoryBuffer1D<uint, Stride1D.Dense>? SmallPrimeFactorsPrimes;
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public MemoryBuffer1D<ulong, Stride1D.Dense>? SmallPrimeFactorsSquares;
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public void Dispose()
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{
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var current = Volatile.Read(ref slot);
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if (current is not null)
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{
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return current;
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}
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// Order = null;
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// Incremental = null;
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// Pow2Mod = null;
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// IncrementalOrder = null;
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// Pow2ModOrder = null;
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// SmallPrimeFactor = null;
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// SpecialMax = null;
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current = Volatile.Read(ref slot);
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if (current is null)
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{
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current = factory();
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Volatile.Write(ref slot, current);
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}
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return current;
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// SmallCycles?.Dispose();
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// SmallPrimesLastOne?.Dispose();
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// SmallPrimesLastSeven?.Dispose();
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// SmallPrimesPow2LastOne?.Dispose();
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// SmallPrimesPow2LastSeven?.Dispose();
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// SmallPrimeFactorsPrimes?.Dispose();
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// SmallPrimeFactorsSquares?.Dispose();
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}
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public void Dispose() => GpuKernelPool.Return(this);
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}
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public readonly struct ResiduePrimeViews(
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@@ -101,49 +96,30 @@ public readonly struct SmallPrimeFactorTables(
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public ArrayView1D<ulong, Stride1D.Dense> SquaresView => Squares.View;
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}
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public readonly struct SmallPrimeFactorScratch(
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MemoryBuffer1D<ulong, Stride1D.Dense> primeSlots,
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MemoryBuffer1D<int, Stride1D.Dense> exponentSlots,
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MemoryBuffer1D<int, Stride1D.Dense> countSlot,
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MemoryBuffer1D<ulong, Stride1D.Dense> remainingSlot)
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{
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public readonly MemoryBuffer1D<ulong, Stride1D.Dense> PrimeSlots = primeSlots;
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public readonly MemoryBuffer1D<int, Stride1D.Dense> ExponentSlots = exponentSlots;
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public readonly MemoryBuffer1D<int, Stride1D.Dense> CountSlot = countSlot;
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public readonly MemoryBuffer1D<ulong, Stride1D.Dense> RemainingSlot = remainingSlot;
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public void Clear()
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{
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PrimeSlots.MemSetToZero();
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ExponentSlots.MemSetToZero();
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CountSlot.MemSetToZero();
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RemainingSlot.MemSetToZero();
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}
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}
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public readonly struct SpecialMaxScratch(
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MemoryBuffer1D<ulong, Stride1D.Dense> factorValues,
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MemoryBuffer1D<ulong, Stride1D.Dense> candidateValues,
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MemoryBuffer1D<ushort, Stride1D.Dense> resultSlot)
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{
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public readonly MemoryBuffer1D<ulong, Stride1D.Dense> FactorValues = factorValues;
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public readonly MemoryBuffer1D<ulong, Stride1D.Dense> CandidateValues = candidateValues;
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public readonly MemoryBuffer1D<ushort, Stride1D.Dense> ResultSlot = resultSlot;
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public ArrayView1D<ulong, Stride1D.Dense> FactorsView => FactorValues.View;
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public ArrayView1D<ulong, Stride1D.Dense> CandidatesView => CandidateValues.View;
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public ArrayView1D<ushort, Stride1D.Dense> ResultView => ResultSlot.View;
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}
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public class GpuKernelPool
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{
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private static readonly ConcurrentQueue<KernelContainer> KernelCache = new(); // TODO: Replace this concurrent map with a simple accelerator-indexed lookup once kernel launchers are prewarmed during startup so we can drop the thread-safe wrapper entirely.
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private static readonly ConcurrentDictionary<Accelerator, KernelContainer> _kernels = new();
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public static KernelContainer GetKernels() => KernelCache.TryDequeue(out var container)
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? container
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: new KernelContainer();
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public static T InitOnce<T>(ref T? target, Func<T> valueFactory) where T : class
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{
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if (target is { } value)
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{
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return value;
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}
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public static void Return(KernelContainer container) => KernelCache.Enqueue(container);
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var newValue = valueFactory();
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return Interlocked.CompareExchange(ref target, newValue, null) ?? newValue;
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}
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|
||||
internal static KernelContainer GetKernels(Accelerator accelerator)
|
||||
{
|
||||
return _kernels.GetOrAdd(accelerator, static (accelerator) =>
|
||||
{
|
||||
var kernels = new KernelContainer();
|
||||
PreloadStaticTables(kernels, accelerator);
|
||||
return kernels;
|
||||
});
|
||||
}
|
||||
|
||||
internal static void PreloadStaticTables(KernelContainer kernels, Accelerator accelerator)
|
||||
{
|
||||
@@ -215,10 +191,10 @@ public class GpuKernelPool
|
||||
return new SmallPrimeFactorTables(primeBuffer, squareBuffer, (int)primeBuffer.Length);
|
||||
}
|
||||
|
||||
if (kernels.SmallPrimeFactorsPrimes is { } existingPrimes && kernels.SmallPrimeFactorsSquares is { } existingSquares)
|
||||
{
|
||||
return new SmallPrimeFactorTables(existingPrimes, existingSquares, (int)existingPrimes.Length);
|
||||
}
|
||||
// if (kernels.SmallPrimeFactorsPrimes is { } existingPrimes && kernels.SmallPrimeFactorsSquares is { } existingSquares)
|
||||
// {
|
||||
// return new SmallPrimeFactorTables(existingPrimes, existingSquares, (int)existingPrimes.Length);
|
||||
// }
|
||||
|
||||
var hostPrimes = PrimesGenerator.SmallPrimes;
|
||||
var hostSquares = PrimesGenerator.SmallPrimesPow2;
|
||||
@@ -234,74 +210,15 @@ public class GpuKernelPool
|
||||
return new SmallPrimeFactorTables(devicePrimes, deviceSquares, hostPrimes.Length);
|
||||
}
|
||||
|
||||
public static SmallPrimeFactorScratch EnsureSmallPrimeFactorScratch(KernelContainer kernels, Accelerator accelerator, int slotCount)
|
||||
{
|
||||
MemoryBuffer1D<ulong, Stride1D.Dense>? primeSlots = kernels.SmallPrimeFactorPrimeSlots;
|
||||
if (primeSlots is null || primeSlots.Length < slotCount)
|
||||
{
|
||||
primeSlots?.Dispose();
|
||||
primeSlots = accelerator.Allocate1D<ulong>(slotCount);
|
||||
kernels.SmallPrimeFactorPrimeSlots = primeSlots;
|
||||
}
|
||||
|
||||
MemoryBuffer1D<int, Stride1D.Dense>? exponentSlots = kernels.SmallPrimeFactorExponentSlots;
|
||||
if (exponentSlots is null || exponentSlots.Length < slotCount)
|
||||
{
|
||||
exponentSlots?.Dispose();
|
||||
exponentSlots = accelerator.Allocate1D<int>(slotCount);
|
||||
kernels.SmallPrimeFactorExponentSlots = exponentSlots;
|
||||
}
|
||||
|
||||
MemoryBuffer1D<int, Stride1D.Dense>? countSlot = kernels.SmallPrimeFactorCountSlot;
|
||||
if (countSlot is null)
|
||||
{
|
||||
countSlot = accelerator.Allocate1D<int>(1);
|
||||
kernels.SmallPrimeFactorCountSlot = countSlot;
|
||||
}
|
||||
|
||||
MemoryBuffer1D<ulong, Stride1D.Dense>? remainingSlot = kernels.SmallPrimeFactorRemainingSlot;
|
||||
if (remainingSlot is null)
|
||||
{
|
||||
remainingSlot = accelerator.Allocate1D<ulong>(1);
|
||||
kernels.SmallPrimeFactorRemainingSlot = remainingSlot;
|
||||
}
|
||||
|
||||
return new SmallPrimeFactorScratch(primeSlots!, exponentSlots!, countSlot!, remainingSlot!);
|
||||
}
|
||||
|
||||
public static SpecialMaxScratch EnsureSpecialMaxScratch(KernelContainer kernels, Accelerator accelerator, int factorCapacity)
|
||||
{
|
||||
MemoryBuffer1D<ulong, Stride1D.Dense>? factorValues = kernels.SpecialMaxFactors;
|
||||
if (factorValues is null || factorValues.Length < factorCapacity)
|
||||
{
|
||||
factorValues?.Dispose();
|
||||
factorValues = accelerator.Allocate1D<ulong>(factorCapacity);
|
||||
kernels.SpecialMaxFactors = factorValues;
|
||||
}
|
||||
|
||||
MemoryBuffer1D<ulong, Stride1D.Dense>? candidateValues = kernels.SpecialMaxCandidates;
|
||||
if (candidateValues is null || candidateValues.Length < factorCapacity)
|
||||
{
|
||||
candidateValues?.Dispose();
|
||||
candidateValues = accelerator.Allocate1D<ulong>(factorCapacity);
|
||||
kernels.SpecialMaxCandidates = candidateValues;
|
||||
}
|
||||
|
||||
MemoryBuffer1D<ushort, Stride1D.Dense>? resultSlot = kernels.SpecialMaxResult;
|
||||
if (resultSlot is null)
|
||||
{
|
||||
resultSlot = accelerator.Allocate1D<ushort>(1);
|
||||
kernels.SpecialMaxResult = resultSlot;
|
||||
}
|
||||
|
||||
return new SpecialMaxScratch(factorValues!, candidateValues!, resultSlot!);
|
||||
}
|
||||
|
||||
public static GpuKernelLease GetKernel(bool useGpuOrder)
|
||||
public static GpuKernelLease GetKernel()
|
||||
{
|
||||
GpuPrimeWorkLimiter.Acquire();
|
||||
var gpu = Rent();
|
||||
var kernels = GetKernels();
|
||||
var kernels = GetKernels(gpu.Accelerator);
|
||||
return GpuKernelLease.Rent(gpu, kernels);
|
||||
}
|
||||
|
||||
@@ -311,12 +228,10 @@ public class GpuKernelPool
|
||||
/// <param name="action">Action to run with (Accelerator, Stream).</param>
|
||||
public static void Run(Action<Accelerator, AcceleratorStream> action)
|
||||
{
|
||||
var lease = GetKernel(useGpuOrder: true);
|
||||
var lease = GetKernel();
|
||||
var accelerator = lease.Accelerator;
|
||||
var stream = accelerator.CreateStream();
|
||||
var stream = lease.Stream;
|
||||
action(accelerator, stream);
|
||||
stream.Dispose();
|
||||
lease.Dispose();
|
||||
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,134 @@
|
||||
using System.Collections.Concurrent;
|
||||
using ILGPU;
|
||||
using ILGPU.Runtime;
|
||||
|
||||
namespace PerfectNumbers.Core.Gpu;
|
||||
|
||||
public sealed class ScratchBuffer
|
||||
{
|
||||
public MemoryBuffer1D<ulong, Stride1D.Dense> SmallPrimeFactorPrimeSlots { get; private set; }
|
||||
public MemoryBuffer1D<int, Stride1D.Dense> SmallPrimeFactorExponentSlots { get; private set; }
|
||||
public MemoryBuffer1D<int, Stride1D.Dense> SmallPrimeFactorCountSlot { get; private set; }
|
||||
public MemoryBuffer1D<ulong, Stride1D.Dense> SmallPrimeFactorRemainingSlot { get; private set; }
|
||||
|
||||
public MemoryBuffer1D<ulong, Stride1D.Dense> SpecialMaxFactors { get; private set; }
|
||||
public MemoryBuffer1D<ulong, Stride1D.Dense> SpecialMaxCandidates { get; private set; }
|
||||
public MemoryBuffer1D<ulong, Stride1D.Dense> SpecialMaxResult { get; private set; }
|
||||
|
||||
internal readonly Accelerator _accelerator;
|
||||
|
||||
public ScratchBuffer(Accelerator accelerator, int smallPrimeFactorSlotCount, int specialMaxFactorCapacity)
|
||||
{
|
||||
_accelerator = accelerator;
|
||||
|
||||
// lock (accelerator)
|
||||
// {
|
||||
SmallPrimeFactorPrimeSlots = accelerator.Allocate1D<ulong>(smallPrimeFactorSlotCount);
|
||||
SmallPrimeFactorExponentSlots = accelerator.Allocate1D<int>(smallPrimeFactorSlotCount);
|
||||
SmallPrimeFactorCountSlot = accelerator.Allocate1D<int>(1);
|
||||
SmallPrimeFactorRemainingSlot = accelerator.Allocate1D<ulong>(1);
|
||||
|
||||
SpecialMaxFactors = accelerator.Allocate1D<ulong>(specialMaxFactorCapacity);
|
||||
SpecialMaxCandidates = accelerator.Allocate1D<ulong>(specialMaxFactorCapacity);
|
||||
SpecialMaxResult = accelerator.Allocate1D<ulong>(1);
|
||||
// }
|
||||
}
|
||||
|
||||
public void ResizeSmallPrimeFactorSlots(int newSize)
|
||||
{
|
||||
if (SmallPrimeFactorPrimeSlots.Length < newSize)
|
||||
{
|
||||
SmallPrimeFactorPrimeSlots.Dispose();
|
||||
SmallPrimeFactorExponentSlots.Dispose();
|
||||
|
||||
SmallPrimeFactorPrimeSlots = _accelerator.Allocate1D<ulong>(newSize);
|
||||
SmallPrimeFactorExponentSlots = _accelerator.Allocate1D<int>(newSize);
|
||||
}
|
||||
// else
|
||||
// {
|
||||
// SmallPrimeFactorPrimeSlots.MemSetToZero();
|
||||
// SmallPrimeFactorExponentSlots.MemSetToZero();
|
||||
// }
|
||||
}
|
||||
|
||||
public void ResizeSpecialMaxFactors(int newSize)
|
||||
{
|
||||
if (SpecialMaxFactors.Length < newSize)
|
||||
{
|
||||
SpecialMaxFactors.Dispose();
|
||||
SpecialMaxCandidates.Dispose();
|
||||
|
||||
SpecialMaxFactors = _accelerator.Allocate1D<ulong>(newSize);
|
||||
SpecialMaxCandidates = _accelerator.Allocate1D<ulong>(newSize);
|
||||
}
|
||||
// else
|
||||
// {
|
||||
// SpecialMaxFactors.MemSetToZero();
|
||||
// SpecialMaxCandidates.MemSetToZero();
|
||||
// }
|
||||
}
|
||||
}
|
||||
|
||||
public static class GpuScratchBufferPool
|
||||
{
|
||||
[ThreadStatic]
|
||||
private static Dictionary<Accelerator, Queue<ScratchBuffer>>? _pools;
|
||||
// private static readonly ConcurrentDictionary<Accelerator, ConcurrentQueue<ScratchBuffer>> _pools = new();
|
||||
private const int DefaultSmallPrimeFactorSlotCount = 64; // From PrimeOrderCalculator.Gpu.cs
|
||||
private const int DefaultSpecialMaxFactorCapacity = 1024; // A reasonable default, will be resized if needed
|
||||
|
||||
public static ScratchBuffer Rent(Accelerator accelerator, int smallPrimeFactorSlotCount, int specialMaxFactorCapacity)
|
||||
{
|
||||
const int WarmUpCapacity = 100;
|
||||
// var pool = _pools.GetOrAdd(accelerator, _ => new ConcurrentQueue<ScratchBuffer>());
|
||||
if (_pools is not { })
|
||||
{
|
||||
_pools = new(WarmUpCapacity);
|
||||
WarmUp(WarmUpCapacity, DefaultSmallPrimeFactorSlotCount, DefaultSpecialMaxFactorCapacity);
|
||||
}
|
||||
|
||||
var pools = _pools;
|
||||
if (!pools.TryGetValue(accelerator, out var pool))
|
||||
{
|
||||
pool = new();
|
||||
pools[accelerator] = pool;
|
||||
}
|
||||
|
||||
// var pool = _pools.GetOrAdd(accelerator, _ => new ConcurrentQueue<ScratchBuffer>());
|
||||
if (pool.TryDequeue(out var buffer))
|
||||
{
|
||||
if (buffer.SmallPrimeFactorPrimeSlots.Length < smallPrimeFactorSlotCount || buffer.SpecialMaxFactors.Length < specialMaxFactorCapacity)
|
||||
{
|
||||
throw new InvalidOperationException();
|
||||
// lock (accelerator)
|
||||
// {
|
||||
// Console.WriteLine($"Resizing GPU scratch buffer from pool ({buffer.SmallPrimeFactorPrimeSlots.Length} / {smallPrimeFactorSlotCount}), ({buffer.SpecialMaxFactors.Length}/{specialMaxFactorCapacity})");
|
||||
// buffer.ResizeSmallPrimeFactorSlots(smallPrimeFactorSlotCount);
|
||||
// buffer.ResizeSpecialMaxFactors(specialMaxFactorCapacity);
|
||||
// }
|
||||
}
|
||||
return buffer;
|
||||
}
|
||||
|
||||
return new ScratchBuffer(accelerator, smallPrimeFactorSlotCount, specialMaxFactorCapacity);
|
||||
}
|
||||
|
||||
public static void Return(ScratchBuffer buffer)
|
||||
{
|
||||
if (_pools!.TryGetValue(buffer._accelerator, out var pool))
|
||||
{
|
||||
pool.Enqueue(buffer);
|
||||
}
|
||||
}
|
||||
|
||||
public static void WarmUp(int count, int smallPrimeFactorSlots, int specialMaxFactorCapacity)
|
||||
{
|
||||
Accelerator accelerator = SharedGpuContext.Accelerator;
|
||||
|
||||
for (int i = 0; i < count; i++)
|
||||
{
|
||||
var buffer = Rent(accelerator, smallPrimeFactorSlots, specialMaxFactorCapacity);
|
||||
Return(buffer);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,6 +1,5 @@
|
||||
using ILGPU;
|
||||
using ILGPU.Runtime;
|
||||
using PerfectNumbers.Core;
|
||||
|
||||
namespace PerfectNumbers.Core.Gpu;
|
||||
|
||||
@@ -13,7 +12,7 @@ internal static partial class PrimeOrderGpuHeuristics
|
||||
int factorCount,
|
||||
MontgomeryDivisorData divisor,
|
||||
ArrayView1D<ulong, Stride1D.Dense> candidates,
|
||||
ArrayView1D<ushort, Stride1D.Dense> resultOut)
|
||||
ArrayView1D<ulong, Stride1D.Dense> resultOut)
|
||||
{
|
||||
if (index != 0)
|
||||
{
|
||||
@@ -62,7 +61,7 @@ internal static partial class PrimeOrderGpuHeuristics
|
||||
var stepper = new ExponentRemainderStepperGpu(divisorPartial);
|
||||
if (stepper.InitializeIsUnityGpu(candidates[0]))
|
||||
{
|
||||
resultOut[0] = 0;
|
||||
Atomic.Exchange(ref resultOut[0], 0);
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -70,11 +69,11 @@ internal static partial class PrimeOrderGpuHeuristics
|
||||
{
|
||||
if (stepper.ComputeNextIsUnityGpu(candidates[i]))
|
||||
{
|
||||
resultOut[0] = 0;
|
||||
Atomic.Exchange(ref resultOut[0], 0);
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
resultOut[0] = 1;
|
||||
Atomic.Exchange(ref resultOut[0], 1);
|
||||
}
|
||||
}
|
||||
@@ -18,19 +18,19 @@ internal static class PrimeTesterKernels
|
||||
{
|
||||
// GPU kernel: small-prime sieve only. Returns 1 if passes sieve (probable prime), 0 otherwise.
|
||||
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,
|
||||
ArrayView<ulong> smallPrimesPow2LastNine,
|
||||
ArrayView<byte> results)
|
||||
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,
|
||||
ArrayView<ulong> smallPrimesPow2LastNine,
|
||||
ArrayView<byte> results)
|
||||
{
|
||||
ulong n = numbers[index];
|
||||
byte result = 1;
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
using PerfectNumbers.Core.Gpu;
|
||||
using System;
|
||||
using System.Buffers;
|
||||
using System.Collections.Concurrent;
|
||||
@@ -25,7 +26,7 @@ public sealed class MersenneNumberDivisorByDivisorGpuTester : IMersenneNumberDiv
|
||||
|
||||
private readonly ConcurrentDictionary<Accelerator, Action<Index1D, ArrayView<GpuDivisorPartialData>, ArrayView<int>, ArrayView<int>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>, ArrayView<int>>> _kernelCache = new(AcceleratorReferenceComparer.Instance);
|
||||
private readonly ConcurrentBag<BatchResources> _resourcePool = new();
|
||||
private readonly ConcurrentBag<GpuContextPool.GpuContextLease> _acceleratorPool = new();
|
||||
private readonly ConcurrentBag<GpuContextLease> _acceleratorPool = new();
|
||||
private readonly ConcurrentBag<DivisorScanSession> _sessionPool = new();
|
||||
|
||||
private Action<Index1D, ArrayView<GpuDivisorPartialData>, ArrayView<int>, ArrayView<int>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>, ArrayView<int>> GetKernel(Accelerator accelerator) =>
|
||||
@@ -476,7 +477,7 @@ public sealed class MersenneNumberDivisorByDivisorGpuTester : IMersenneNumberDiv
|
||||
public sealed class DivisorScanSession : IMersenneNumberDivisorByDivisorTester.IDivisorScanSession
|
||||
{
|
||||
private readonly MersenneNumberDivisorByDivisorGpuTester _owner;
|
||||
private readonly GpuContextPool.GpuContextLease _lease;
|
||||
private readonly GpuContextLease _lease;
|
||||
private readonly Accelerator _accelerator;
|
||||
private Action<Index1D, ArrayView<GpuDivisorPartialData>, ArrayView<int>, ArrayView<int>, ArrayView<ulong>, ArrayView<ulong>, ArrayView<byte>, ArrayView<int>> _kernel = null!;
|
||||
private MemoryBuffer1D<GpuDivisorPartialData, Stride1D.Dense> _divisorBuffer = null!;
|
||||
@@ -650,7 +651,7 @@ public sealed class MersenneNumberDivisorByDivisorGpuTester : IMersenneNumberDiv
|
||||
}
|
||||
}
|
||||
|
||||
private GpuContextPool.GpuContextLease RentAccelerator()
|
||||
private GpuContextLease RentAccelerator()
|
||||
{
|
||||
if (_acceleratorPool.TryTake(out var lease))
|
||||
{
|
||||
@@ -660,7 +661,7 @@ public sealed class MersenneNumberDivisorByDivisorGpuTester : IMersenneNumberDiv
|
||||
return GpuContextPool.Rent();
|
||||
}
|
||||
|
||||
private void ReturnAccelerator(GpuContextPool.GpuContextLease lease) => _acceleratorPool.Add(lease);
|
||||
private void ReturnAccelerator(GpuContextLease lease) => _acceleratorPool.Add(lease);
|
||||
|
||||
private BatchResources RentBatchResources(Accelerator accelerator, int capacity)
|
||||
{
|
||||
@@ -899,8 +900,4 @@ public sealed class MersenneNumberDivisorByDivisorGpuTester : IMersenneNumberDiv
|
||||
}
|
||||
|
||||
IMersenneNumberDivisorByDivisorTester.IDivisorScanSession IMersenneNumberDivisorByDivisorTester.CreateDivisorSession() => CreateDivisorSession();
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
}
|
||||
@@ -38,19 +38,21 @@ public sealed class MersenneNumberDivisorGpuTester
|
||||
public bool IsDivisible(ulong exponent, in ReadOnlyGpuUInt128 divisor)
|
||||
{
|
||||
var gpu = GpuContextPool.Rent();
|
||||
var accelerator = gpu.Accelerator;
|
||||
var accelerator = gpu.Accelerator;
|
||||
var stream = accelerator.CreateStream();
|
||||
var kernel = GetKernel(accelerator);
|
||||
var resultBuffer = _resultBuffers.GetOrAdd(accelerator, acc => acc.Allocate1D<byte>(1));
|
||||
// There is no point in clearing this buffer. We always override item [0] and never use it beyond item [0]
|
||||
// resultBuffer.MemSetToZero();
|
||||
kernel(1, exponent, divisor, resultBuffer.View);
|
||||
accelerator.Synchronize();
|
||||
stream.Synchronize();
|
||||
Span<byte> result = stackalloc byte[1];
|
||||
resultBuffer.View.CopyToCPU(ref result[0], 1);
|
||||
resultBuffer.View.CopyToCPU(stream, ref result[0], 1);
|
||||
bool divisible = result[0] != 0;
|
||||
result[0] = 0;
|
||||
resultBuffer.View.CopyFromCPU(ref result[0], 1);
|
||||
accelerator.Synchronize();
|
||||
resultBuffer.View.CopyFromCPU(stream, ref result[0], 1);
|
||||
stream.Synchronize();
|
||||
stream.Dispose();
|
||||
gpu.Dispose();
|
||||
return divisible;
|
||||
}
|
||||
|
||||
@@ -16,7 +16,7 @@ public class MersenneNumberIncrementalGpuTester(GpuKernelType kernelType, bool u
|
||||
{
|
||||
throw new NotImplementedException($"GPU incremental scanning requires the device cycle heuristics implementation (kernel: {_kernelType}, GPU order: {_useGpuOrder}).");
|
||||
|
||||
var gpuLease = GpuKernelPool.GetKernel(_useGpuOrder);
|
||||
var gpuLease = GpuKernelPool.GetKernel();
|
||||
var accelerator = gpuLease.Accelerator;
|
||||
var stream = gpuLease.Stream;
|
||||
int batchSize = GpuConstants.ScanBatchSize; // large batch improves GPU occupancy
|
||||
|
||||
@@ -9,7 +9,7 @@ public class MersenneNumberOrderGpuTester(GpuKernelType kernelType, bool useGpuO
|
||||
|
||||
public void Scan(ulong exponent, UInt128 twoP, LastDigit lastDigit, UInt128 maxK, ref bool isPrime)
|
||||
{
|
||||
var gpuLease = GpuKernelPool.GetKernel(_useGpuOrder);
|
||||
var gpuLease = GpuKernelPool.GetKernel();
|
||||
var accelerator = gpuLease.Accelerator;
|
||||
var stream = gpuLease.Stream;
|
||||
int batchSize = GpuConstants.ScanBatchSize; // large batch improves GPU occupancy and avoids TDR
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
using PerfectNumbers.Core.Gpu;
|
||||
using System;
|
||||
using System.Buffers;
|
||||
using System.Collections.Concurrent;
|
||||
@@ -13,7 +14,7 @@ namespace PerfectNumbers.Core.Gpu;
|
||||
public class MersenneNumberResidueGpuTester(bool useGpuOrder)
|
||||
{
|
||||
private readonly bool _useGpuOrder = useGpuOrder;
|
||||
private readonly ConcurrentBag<GpuContextPool.GpuContextLease> _acceleratorPool = new();
|
||||
private readonly ConcurrentBag<GpuContextLease> _acceleratorPool = new();
|
||||
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);
|
||||
private readonly ConcurrentDictionary<Accelerator, ConcurrentBag<ResidueResources>> _resourcePools = new(AcceleratorReferenceComparer.Instance);
|
||||
|
||||
@@ -35,7 +36,7 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
|
||||
var stream = accelerator.CreateStream();
|
||||
var kernel = GetPow2ModKernel(accelerator);
|
||||
var resources = RentResources(accelerator, GpuConstants.ScanBatchSize);
|
||||
var gpuKernels = GpuKernelPool.GetKernels();
|
||||
var gpuKernels = GpuKernelPool.GetKernels(accelerator);
|
||||
|
||||
var orderBuffer = resources.OrderBuffer;
|
||||
ulong[] orderArray = resources.OrderArray;
|
||||
@@ -69,7 +70,8 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
|
||||
kernel(stream, currentSize, exponent, twoPGpu, (GpuUInt128)kStart, last, 0UL,
|
||||
kernelArgs, orderBuffer.View, smallCyclesView, primeViews.LastOne, primeViews.LastSeven, primeViews.LastOnePow2, primeViews.LastSevenPow2);
|
||||
|
||||
stream.Synchronize();
|
||||
stream.Synchronize();
|
||||
|
||||
orderBuffer.View.CopyToCPU(ref ordersRef, currentSize);
|
||||
if (!Volatile.Read(ref isPrime))
|
||||
{
|
||||
@@ -127,7 +129,7 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
|
||||
loaded.Method);
|
||||
});
|
||||
|
||||
private GpuContextPool.GpuContextLease RentAccelerator()
|
||||
private GpuContextLease RentAccelerator()
|
||||
{
|
||||
if (_acceleratorPool.TryTake(out var lease))
|
||||
{
|
||||
@@ -137,11 +139,11 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
|
||||
return GpuContextPool.Rent();
|
||||
}
|
||||
|
||||
private void ReturnAccelerator(GpuContextPool.GpuContextLease lease) => _acceleratorPool.Add(lease);
|
||||
private void ReturnAccelerator(GpuContextLease lease) => _acceleratorPool.Add(lease);
|
||||
|
||||
private ResidueResources RentResources(Accelerator accelerator, int capacity)
|
||||
{
|
||||
var bag = _resourcePools.GetOrAdd(accelerator, static _ => new ConcurrentBag<ResidueResources>());
|
||||
var bag = _resourcePools.GetOrAdd(accelerator, static _ => []);
|
||||
while (bag.TryTake(out var resources))
|
||||
{
|
||||
if (resources.Capacity >= capacity)
|
||||
@@ -195,4 +197,4 @@ public class MersenneNumberResidueGpuTester(bool useGpuOrder)
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
}
|
||||
@@ -198,7 +198,7 @@ internal static partial class PrimeOrderGpuHeuristics
|
||||
|
||||
try
|
||||
{
|
||||
var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
|
||||
var lease = GpuKernelPool.GetKernel();
|
||||
Accelerator accelerator = lease.Accelerator;
|
||||
AcceleratorStream stream = lease.Stream;
|
||||
|
||||
@@ -364,7 +364,7 @@ internal static partial class PrimeOrderGpuHeuristics
|
||||
{
|
||||
order = 0UL;
|
||||
|
||||
var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
|
||||
var lease = GpuKernelPool.GetKernel();
|
||||
Accelerator accelerator = lease.Accelerator;
|
||||
AcceleratorStream stream = lease.Stream;
|
||||
|
||||
@@ -526,7 +526,7 @@ internal static partial class PrimeOrderGpuHeuristics
|
||||
|
||||
private static bool TryComputeOnGpu(ReadOnlySpan<ulong> exponents, ulong prime, in MontgomeryDivisorData divisorData, Span<ulong> results)
|
||||
{
|
||||
var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
|
||||
var lease = GpuKernelPool.GetKernel();
|
||||
Accelerator accelerator = lease.Accelerator;
|
||||
AcceleratorStream stream = lease.Stream;
|
||||
var kernel = GetPow2ModKernel(accelerator);
|
||||
@@ -581,7 +581,7 @@ internal static partial class PrimeOrderGpuHeuristics
|
||||
|
||||
GpuUInt128[]? rentedExponents = null;
|
||||
GpuUInt128[]? rentedResults = null;
|
||||
var lease = GpuKernelPool.GetKernel(useGpuOrder: true);
|
||||
var lease = GpuKernelPool.GetKernel();
|
||||
|
||||
try
|
||||
{
|
||||
|
||||
@@ -5,7 +5,7 @@ using ILGPU.Runtime;
|
||||
|
||||
namespace PerfectNumbers.Core.Gpu;
|
||||
|
||||
internal static class SharedGpuContext
|
||||
public static class SharedGpuContext
|
||||
{
|
||||
private static readonly Lazy<Context> s_context = new(() => ILGPU.Context.CreateDefault(), LazyThreadSafetyMode.ExecutionAndPublication);
|
||||
private static readonly Lazy<Device> s_device = new(() => s_context.Value.GetPreferredDevice(false), LazyThreadSafetyMode.ExecutionAndPublication);
|
||||
|
||||
Reference in new issue
Block a user