matrix parallel start to use two different policy
This commit is contained in:
Youmu Liu
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//-----------------------------------------------------------------------
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// -----------------------------------------------------------------------
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// file="MatrixCompute.Float"
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// Project: StgSharp
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// AuthorGroup: Nitload
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// Copyright (c) Nitload. All rights reserved.
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in all
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// copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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// SOFTWARE.
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//
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// -----------------------------------------------------------------------
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// -----------------------------------------------------------------------
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using StgSharp.Collections;
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using StgSharp.Internal;
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using StgSharp.Mathematics;
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using StgSharp.Mathematics.Internal;
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using System;
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using System.Collections.Generic;
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using System.ComponentModel.DataAnnotations.Schema;
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using System.Linq;
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using System.Numerics;
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using System.Security.AccessControl;
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using System.Text;
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using System.Threading.Tasks;
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namespace StgSharp.Mathematics.Numeric
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{
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public static partial class MatrixCompute
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{
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public static unsafe void Add(
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Matrix<float> left,
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Matrix<float> right,
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Matrix<float> ans
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)
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{
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MatrixElementType f32 = MatrixElementType.F32;
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if (left.ColumnLength != right.ColumnLength ||
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left.RowLength != right.RowLength ||
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left.ColumnLength != ans.ColumnLength ||
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left.RowLength != ans.RowLength) {
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throw new IndexOutOfRangeException("Matrix dimensions must agree.");
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}
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long count = (long)left.KernelColumnLength * left.KernelRowLength;
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if (count <= 256)
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{
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MatrixKernel<float>* leftPtr = left.Buffer;
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MatrixKernel<float>* rightPtr = right.Buffer;
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MatrixKernel<float>* ansPtr = ans.Buffer;
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NumericalModule.GlobalContext.mat_mk[f32].buffer_add(leftPtr, rightPtr, ansPtr,
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count);
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return;
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} else if (count <= 1024)
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{
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MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
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MatrixKernel<float>* leftPtr = left.Buffer;
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MatrixKernel<float>* rightPtr = right.Buffer;
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MatrixKernel<float>* ansPtr = ans.Buffer;
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NumericalModule.GlobalContext.mat_mk[f32].buffer_add(leftPtr, rightPtr, ansPtr,
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count);
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MatrixParallel.ReturnParallelResources(ref pool);
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return;
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}
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MatrixParallelTask* package = MatrixParallelFactory.CreateBaseTask();
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package->Mat1 = (MatrixKernel*)left.Buffer;
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package->Mat2 = (MatrixKernel*)right.Buffer;
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package->Mat3 = (MatrixKernel*)ans.Buffer;
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package->ElementSize = sizeof(float);
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package->PrimCount = ans.KernelColumnLength;
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package->SecCount = ans.KernelRowLength;
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package->ComputeMode = new MatrixOpMode(MatrixIndexStyle.BUFFER_INDEX, MatrixOperationParam.LEFT_RIGHT_ANS_PARAM);
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package->ComputeHandle = (IntPtr)NumericalModule.GlobalContext.mat_sk[f32].buffer_add;
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MatrixParallelWrap taskGroup = MatrixParallel.ScheduleTask(package);
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taskGroup.LaunchParallel(SleepMode.DeepSleep);
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taskGroup.Dispose();
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return;
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}
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public static unsafe void Fill(
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Matrix<float> ans,
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float value
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)
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{
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MatrixElementType f32 = MatrixElementType.F32;
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long count = (long)ans.KernelColumnLength * ans.KernelRowLength;
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ScalarPacket* scalar = MatrixParallelFactory.CreateScalarPacket();
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scalar->Data<float>(0) = value;
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if (count <= 256)
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{
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NumericalModule.GlobalContext.mat_sk[f32].buffer_fill(ans.Buffer, scalar, count);
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return;
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} else if (count <= 1024)
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{
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MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
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NumericalModule.GlobalContext.mat_sk[f32].buffer_fill(ans.Buffer, scalar, count);
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MatrixParallel.ReturnParallelResources(ref pool);
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return;
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}
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MatrixParallelTask* package = MatrixParallelFactory.CreateBaseTask();
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package->Answer = (nint)ans.Buffer;
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package->ElementSize = sizeof(float);
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package->PrimCount = ans.KernelColumnLength;
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package->SecCount = ans.KernelRowLength;
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package->ComputeMode = new MatrixOpMode(MatrixIndexStyle.BUFFER_INDEX, MatrixOperationParam.ANS_SCALAR_PARAM);
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package->ComputeHandle = (IntPtr)NumericalModule.GlobalContext.mat_sk[f32].buffer_fill;
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package->Scalar = scalar;
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MatrixParallelWrap taskGroup = MatrixParallel.ScheduleTask(package);
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taskGroup.LaunchParallel(SleepMode.DeepSleep);
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MatrixParallelFactory.Release(scalar);
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taskGroup.Dispose();
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}
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public static unsafe void Mul(
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Matrix<float> left,
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Matrix<float> right,
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Matrix<float> ans
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)
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{
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MatrixElementType f32 = MatrixElementType.F32;
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// For matrix multiplication (left: MxK) * (right: KxN) => ans: MxN
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// ColumnLength = number of columns (N), RowLength = number of rows (M)
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if (left.ColumnLength != right.RowLength ||
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ans.ColumnLength != right.ColumnLength ||
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ans.RowLength != left.RowLength)
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{
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throw new IndexOutOfRangeException("Matrix dimensions must agree.");
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}
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if (left.Layout != MatrixLayout.DenseRectangle ||
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right.Layout != MatrixLayout.DenseRectangle ||
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ans.Layout != MatrixLayout.DenseRectangle) {
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throw new NotSupportedException("Only dense rectangle matrices are supported.");
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}
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long count = (long)left.KernelColumnLength * left.KernelRowLength;
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if (count <= 1024)
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{
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MatrixParallelThread[] pool = null;
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if (count > 256) {
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pool = MatrixParallel.LeadParallel(1);
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}
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M128* enumeration = stackalloc M128[1];
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enumeration->Member<int>(2) = left.KernelColumnLength;
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enumeration->Member<int>(3) = ans.KernelColumnLength;
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for (int i = 0; i < ans.KernelRowLength; i++)
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{
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for (int j = 0; j < ans.KernelColumnLength; j++)
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{
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enumeration->Member<int>(0) = i;
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enumeration->Member<int>(1) = j;
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NumericalModule.GlobalContext
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.mat_sk[f32].kernel_tile_fma((MatrixKernel*)left.Buffer,
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(MatrixKernel*)right.Buffer,
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(MatrixKernel*)ans.Buffer,
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enumeration);
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}
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}
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if (count > 256) {
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MatrixParallel.ReturnParallelResources(ref pool!);
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}
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return;
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}
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MatrixParallelTask* package = MatrixParallelFactory.CreateBaseTask();
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package->Left = (nint)left.Buffer;
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package->Right = (nint)right.Buffer;
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package->Answer = (nint)ans.Buffer;
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package->AnsPrimOffset = ans.KernelRowLength;
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package->AnsSecOffset = ans.KernelColumnLength;
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package->LeftPrimOffset = left.KernelColumnLength;
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package->PrimCount = ans.KernelColumnLength;
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package->SecCount = ans.KernelRowLength;
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package->ElementSize = (int)MatrixElementType.F32;
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package->ComputeMode = new MatrixOpMode(MatrixIndexStyle.SPECIAL, MatrixOperationSpecial.SEQ_FMA);
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MatrixParallelWrap taskGroup = MatrixParallel.ScheduleTask(package);
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taskGroup.LaunchParallel(SleepMode.DeepSleep);
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taskGroup.Dispose();
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return;
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}
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public static unsafe void Mul(
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Matrix<float> left,
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float right,
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Matrix<float> ans
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)
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{
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MatrixElementType f32 = MatrixElementType.F32;
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if (left.ColumnLength != ans.ColumnLength || left.RowLength != ans.RowLength) {
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throw new IndexOutOfRangeException("Matrix dimensions must agree.");
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}
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if (left.Layout != MatrixLayout.DenseRectangle ||
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ans.Layout != MatrixLayout.DenseRectangle) {
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throw new NotSupportedException("Only dense rectangle matrices are supported.");
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}
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long count = (long)left.KernelColumnLength * left.KernelRowLength;
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ScalarPacket* scalar = MatrixParallelFactory.CreateScalarPacket();
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scalar->Data<float>(0) = right;
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if (count <= 256)
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{
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MatrixKernel<float>* leftPtr = left.Buffer;
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MatrixKernel<float>* ansPtr = ans.Buffer;
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NumericalModule.GlobalContext.mat_sk[f32].buffer_scalar_mul(leftPtr, ansPtr, scalar,
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count);
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return;
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} else if (count <= 1024)
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{
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MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
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MatrixKernel<float>* leftPtr = left.Buffer;
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MatrixKernel<float>* ansPtr = ans.Buffer;
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NumericalModule.GlobalContext.mat_sk[f32].buffer_scalar_mul(leftPtr, ansPtr, scalar,
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count);
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MatrixParallel.ReturnParallelResources(ref pool);
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return;
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}
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MatrixParallelTask* package = MatrixParallelFactory.CreateBaseTask();
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package->Right = (nint)left.Buffer;
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package->Answer = (nint)ans.Buffer;
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package->ElementSize = sizeof(float);
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package->PrimCount = left.KernelColumnLength;
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package->SecCount = left.KernelRowLength;
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package->Scalar = scalar;
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package->ComputeMode = new MatrixOpMode(MatrixIndexStyle.BUFFER_INDEX, MatrixOperationParam.RIGHT_ANS_SCALAR_PARAM);
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package->ComputeHandle = (IntPtr)NumericalModule.GlobalContext.mat_sk[f32].buffer_scalar_mul;
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MatrixParallelWrap taskGroup = MatrixParallel.ScheduleTask(package);
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taskGroup.LaunchParallel(SleepMode.DeepSleep);
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taskGroup.Dispose();
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MatrixParallelFactory.Release(scalar);
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return;
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}
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public static unsafe void Sub(
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Matrix<float> left,
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Matrix<float> right,
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Matrix<float> ans
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)
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{
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MatrixElementType f32 = MatrixElementType.F32;
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if (left.ColumnLength != right.ColumnLength ||
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left.RowLength != right.RowLength ||
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left.ColumnLength != ans.ColumnLength ||
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left.RowLength != ans.RowLength) {
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throw new IndexOutOfRangeException("Matrix dimensions must agree.");
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}
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if (left.Layout != MatrixLayout.DenseRectangle ||
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right.Layout != MatrixLayout.DenseRectangle ||
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ans.Layout != MatrixLayout.DenseRectangle) {
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throw new NotSupportedException("Only dense rectangle matrices are supported.");
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}
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long count = (long)left.KernelColumnLength * left.KernelRowLength;
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if (count <= 256)
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{
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MatrixKernel<float>* leftPtr = left.Buffer;
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MatrixKernel<float>* rightPtr = right.Buffer;
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MatrixKernel<float>* ansPtr = ans.Buffer;
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NumericalModule.GlobalContext.mat_sk[f32].buffer_sub(leftPtr, rightPtr, ansPtr,
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count);
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return;
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} else if (count <= 1024)
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{
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MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
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MatrixKernel<float>* leftPtr = left.Buffer;
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MatrixKernel<float>* rightPtr = right.Buffer;
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MatrixKernel<float>* ansPtr = ans.Buffer;
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NumericalModule.GlobalContext.mat_sk[f32].buffer_sub(leftPtr, rightPtr, ansPtr,
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count);
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MatrixParallel.ReturnParallelResources(ref pool);
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return;
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}
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MatrixParallelTask* package = MatrixParallelFactory.CreateBaseTask();
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package->Left = (nint)left.Buffer;
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package->Right = (nint)right.Buffer;
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package->Answer = (nint)ans.Buffer;
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package->ElementSize = sizeof(float);
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package->PrimCount = left.KernelColumnLength;
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package->SecCount = left.KernelRowLength;
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package->ComputeMode = new MatrixOpMode(MatrixIndexStyle.BUFFER_INDEX, MatrixOperationParam.LEFT_RIGHT_ANS_PARAM);
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package->ComputeHandle = (IntPtr)NumericalModule.GlobalContext.mat_sk[f32].buffer_sub;
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MatrixParallelWrap taskGroup = MatrixParallel.ScheduleTask(package);
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taskGroup.LaunchParallel(SleepMode.DeepSleep);
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taskGroup.Dispose();
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return;
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}
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}
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}
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