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stgsharp/StgSharp.Mathematics/Numeric/Linear/MatrixCompute.cs
T

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2.1 KiB
C#

// -----------------------------------------------------------------------------
// file="MatrixCompute"
// Project: StgSharp
// Copyright (c) Nitload.
// SPDX-License-Identifier: MIT
// -----------------------------------------------------------------------------
using StgSharp.HighPerformance.Memory;
using StgSharp.Internal;
using StgSharp.Mathematics;
using StgSharp.Mathematics.Numeric.Runtime;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Numerics;
using System.Runtime.CompilerServices;
using System.Text;
using System.Threading.Tasks;
using unsafe MkProc = delegate* unmanaged[Cdecl]<StgSharp.Mathematics.Numeric.Runtime.MatrixParallelTask*, void>;
namespace StgSharp.Mathematics.Numeric
{
public static unsafe partial class MatrixCompute
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
internal static unsafe MatrixKernel* GetKernelAddressUnsafe<T>(
MatrixKernel<T>* buffer,
int colLength,
int x,
int y
) where T : unmanaged, INumber<T>
{
return (MatrixKernel*)(buffer + ((colLength * x) + y));
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static void SequentialOperation(
MatrixParallelTask* task,
long count
)
{
MatrixElementType elementType = task->ElementType;
MatrixParallelThread[] pool;
MkProc op = (MkProc)NumericalModule.GlobalContext.
mat_mk[elementType.IntrinsicNode].
Get(task->ComputeHandle);
if ((count <= 256) || !MatrixParallel.IsParallelMeaningful)
{
op(task);
return;
}
MatrixParallelWrap taskWrap = /**/ null/*MatrixParallel.ScheduleTask<BufferQueueLeftRightAns_NoNuma>(task)/**/;
taskWrap.LaunchParallel(SleepMode.DeepSleep);
taskWrap.Dispose();
}
}
}