matrix mul matrix is full function

This commit is contained in:
Nitload
2025-12-16 23:17:30 +08:00
26 changed files with 1049 additions and 861 deletions
@@ -1,8 +1,12 @@
<<<<<<< HEAD
<<<<<<< HEAD
//-----------------------------------------------------------------------
=======
//-----------------------------------------------------------------------
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
//-----------------------------------------------------------------------
>>>>>>> stgsharp-dev/giga
// -----------------------------------------------------------------------
// file="MatrixKernel"
// Project: StgSharp
@@ -37,6 +41,9 @@ using System.Runtime.InteropServices;
namespace StgSharp.HighPerformance
{
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<<<<<<< HEAD
=======
>>>>>>> stgsharp-dev/giga
public unsafe struct MatrixKernel
{
@@ -44,6 +51,7 @@ namespace StgSharp.HighPerformance
}
<<<<<<< HEAD
[StructLayout(LayoutKind.Sequential)]
[InlineArray(16)]
public unsafe struct MatrixKernel<T> where T : unmanaged, INumber<T>
@@ -52,6 +60,11 @@ namespace StgSharp.HighPerformance
[InlineArray(16)]
public unsafe struct MatrixKernel<T> where T: unmanaged, INumber<T>
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
[StructLayout(LayoutKind.Sequential)]
[InlineArray(16)]
public unsafe struct MatrixKernel<T> where T : unmanaged, INumber<T>
>>>>>>> stgsharp-dev/giga
{
private T c0r0;
+121 -74
View File
@@ -1,8 +1,12 @@
<<<<<<< HEAD
<<<<<<< HEAD
//-----------------------------------------------------------------------
=======
//-----------------------------------------------------------------------
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
//-----------------------------------------------------------------------
>>>>>>> stgsharp-dev/giga
// -----------------------------------------------------------------------
// file="MatrixPanel"
// Project: StgSharp
@@ -30,9 +34,13 @@
// -----------------------------------------------------------------------
// -----------------------------------------------------------------------
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<<<<<<< HEAD
using StgSharp.Internal;
=======
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
using StgSharp.Internal;
>>>>>>> stgsharp-dev/giga
using System;
using System.Numerics;
using System.Runtime.CompilerServices;
@@ -40,6 +48,7 @@ using System.Runtime.InteropServices;
namespace StgSharp.HighPerformance
{
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<<<<<<< HEAD
public unsafe struct MatrixPanel
{
@@ -174,102 +183,138 @@ namespace StgSharp.HighPerformance
#pragma warning disable CA1000
public interface IMatrixPanel<T> : IDisposable where T : unmanaged,INumber<T>
=======
public unsafe struct MatrixPanel
>>>>>>> stgsharp-dev/giga
{
ref T this[int column, int row] { get; }
public const int AlignmentBytes = 64;
static abstract int MaxElementCount { get; }
private byte Head;
static abstract int ElementSideLength { get; }
// Allocate aligned memory for one panel; caller must free via Destroy.
public static unsafe MatrixPanel<T>* Create<T>() where T : unmanaged, INumber<T>
{
return (MatrixPanel<T>*)NativeMemory.AlignedAlloc(Size<T>(), AlignmentBytes);
}
static abstract nuint Size { get; }
public static unsafe void Destroy<T>(MatrixPanel<T>* panel) where T : unmanaged, INumber<T>
{
NativeMemory.AlignedFree(panel);
}
void Dispose();
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static unsafe Span<T> Elements<T>(ref T head) where T : unmanaged, INumber<T>
{
void* p = Unsafe.AsPointer(ref head);
return new Span<T>(p, MaxElementCount<T>());
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int ElementSideLength<T>() where T : unmanaged, INumber<T>
{
return Math.Max(8, AlignmentBytes / sizeof(T));
}
// View an existing pointer; caller guarantees lifetime/alignment.
public static unsafe MatrixPanel<T>* FromPointer<T>(void* ptr)
where T : unmanaged, INumber<T>
{
return (MatrixPanel<T>*)Align64(ptr);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int MaxElementCount<T>() where T : unmanaged, INumber<T>
{
int side = ElementSideLength<T>();
return side * side;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static nuint Size<T>() where T : unmanaged, INumber<T>
{
return (nuint)(MaxElementCount<T>() * sizeof(T));
}
/// <summary>
/// Number of 4x4 kernels that fit in a panel for the given ISA and element T.
/// </summary>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
internal static int KernelCapacity<T>() where T : unmanaged, INumber<T>
{
int perSide = KernelSideCount<T>();
return perSide * perSide;
}
/// <summary>
/// How many 4x4 kernels fit along a single panel dimension for the given ISA.
/// </summary>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
internal static int KernelSideCount<T>() where T : unmanaged, INumber<T>
{
return NativeIntrinsic.IntrinsicLevel switch
{
IntrinsicLevel.SSE => KernelSideCountSse<T>(),
IntrinsicLevel.AVX2 => KernelSideCountAvx2<T>(),
IntrinsicLevel.AVX512 => KernelSideCountAvx512<T>(),
_ => 0
};
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static unsafe nuint Align64(void* p) => ((nuint)p + (AlignmentBytes - 1)) & ~(nuint)(AlignmentBytes - 1);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static int KernelSideCountAvx2<T>() where T : unmanaged, INumber<T>
{
const int minQ = 8;
int lanes = 32 / sizeof(T);
int side = Math.Max(lanes, minQ);
return side / 4;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static int KernelSideCountAvx512<T>() where T : unmanaged, INumber<T>
{
const int minQ = 8;
int lanes = 64 / sizeof(T);
int side = Math.Max(lanes, minQ);
return side / 4;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static int KernelSideCountSse<T>() where T : unmanaged, INumber<T>
{
const int minQ = 4;
int lanes = 16 / sizeof(T);
int side = Math.Max(lanes, minQ);
return side / 4;
}
}
/// <summary>
/// Buffer for SSE targeted matrix panel, size of a panel is 4x4 elements, and no smaller than
/// 16 bytes.
/// </summary>
/// <typeparam name="T">
/// Type of matrix element.
/// </typeparam>
public unsafe struct MatrixPanelSSE<T> : IMatrixPanel<T> where T : unmanaged, INumber<T>
// Single POD-style panel: ZMM-compatible size. Alignment handled by allocator, not by the struct.
public unsafe struct MatrixPanel<T> where T : unmanaged, INumber<T>
{
private T element;
[Obsolete("Compute kernel should not be created from new(), use Create instead", true)]
public MatrixPanelSSE() { }
internal T Head; // first element of the panel buffer
public ref T this[int column, int row]
{
get
{
int index = row * ElementSideLength + column;
return ref Unsafe.Add(ref element, index);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => ref Unsafe.Add(ref Head, row * MatrixPanel.ElementSideLength<T>() + column);
}
public static int ElementSideLength
public Span<T> Elements
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get;
} = int.Max(4, 16 / sizeof(T));
public static int MaxElementCount
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get;
} = ElementSideLength * ElementSideLength;
public static unsafe nuint Size { get; } = (nuint)(MaxElementCount * sizeof(T));
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int ChunkCount() => (ElementSideLength + LanesPerVector() - 1) / LanesPerVector();
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static MatrixPanelSSE<T>* Create()
{
MatrixPanelSSE<T>* kernel = (MatrixPanelSSE<T>*)NativeMemory.AlignedAlloc(Size, 16);
return kernel;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static void Destroy(MatrixPanelSSE<T>* kernel)
{
NativeMemory.AlignedFree(kernel);
}
public void Dispose()
{
fixed (MatrixPanelSSE<T>* thisPtr = &this) {
NativeMemory.AlignedFree(thisPtr);
}
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public ref M128 GetVectorChunk(int column, int chunk)
{
int lanes = LanesPerVector();
int rowStart = chunk * lanes;
ref T colBase = ref this[column, 0];
return ref Unsafe.As<T, M128>(ref Unsafe.Add(ref colBase, rowStart));
}
// SIMD access helpers (column-major)
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int LanesPerVector() => 16 / sizeof(T);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void SetVectorChunk(int column, int chunk, in M128 value)
{
GetVectorChunk(column, chunk) = value;
get => MatrixPanel.Elements(ref Head);
}
}
}
<<<<<<< HEAD
/// <summary>
/// Buffer for AVX targeted matrix panel, size of a panel is 4x4 elements, and no smaller than
/// 16 bytes.
@@ -436,3 +481,5 @@ namespace StgSharp.HighPerformance
}
}
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
>>>>>>> stgsharp-dev/giga
@@ -1,4 +1,4 @@
//-----------------------------------------------------------------------
//-----------------------------------------------------------------------
// -----------------------------------------------------------------------
// file="IntrinsicContext"
// Project: StgSharp
@@ -44,7 +44,8 @@ namespace StgSharp.Internal.Intrinsic
public delegate* unmanaged[Cdecl]<void*, void*, ScalarPacket*, long, void> f32_buffer_scalar_mul; //f32_buffer_s_m
public delegate* unmanaged[Cdecl]<void*, void*, void*, long, void> f32_buffer_sub; //f32_kernel_sub
public delegate* unmanaged[Cdecl]<void*, void*, void> f32_buffer_transpose; //f32_kernel_transpose
public delegate* unmanaged[Cdecl]<void*, void*, int, int, int, int, void> f32_build_panel; //f32_build_panel
public delegate* unmanaged[Cdecl]<MatrixPanel*, MatrixKernel*, int, int, int, int, void> f32_build_panel; //f32_build_panel
public delegate* unmanaged[Cdecl]<MatrixPanel*, void> f32_clear_panel;
public delegate* unmanaged[Cdecl]<Vector4*, Vector4*, void> f32_normalize_3; //f32_normalize_3
public delegate* unmanaged[Cdecl]<void*, void*, void*, void> f32_panel_fma; //f32_panel_fma
public delegate* unmanaged[Cdecl]<void*, void*, int, int, int, int, void> f32_store_panel; //f32_store_panel
@@ -59,7 +59,7 @@ namespace StgSharp.Internal
{
case 0:
// Dialogue.PostError(new PlatformNotSupportedException("No SIMD instructions supported on current hardware platform"));
Dialogue.PostError(new PlatformNotSupportedException("No SIMD instructions supported on current hardware platform"));
Environment.Exit(-1);
break;
default:
@@ -26,9 +26,17 @@
// -----------------------------------------------------------------------
// -----------------------------------------------------------------------
using StgSharp.HighPerformance;
<<<<<<< HEAD
using System;
using System.Collections.Generic;
using System.Linq;
=======
using StgSharp.Internal;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Runtime.CompilerServices;
>>>>>>> stgsharp-dev/giga
using System.Text;
using System.Threading.Tasks;
@@ -37,6 +45,7 @@ namespace StgSharp.Mathematics.Numeric
public partial class MatrixCompute
{
<<<<<<< HEAD
private static unsafe void ComputeFmaPanelF32(
MatrixKernel* left,
MatrixKernel* right,
@@ -48,6 +57,47 @@ namespace StgSharp.Mathematics.Numeric
int row = scalar->Data<int>(1);
int k =
=======
internal static unsafe void ComputeFmaPanelF32(MatrixParallelTaskPackage* p)
{
int size = p->ElementSize;
MatrixKernel* leftBuffer = (MatrixKernel*)p->Left;
MatrixKernel* rightBuffer = (MatrixKernel*)p->Right;
MatrixKernel* ansBuffer = (MatrixKernel*)p->Answer;
MatrixPanel<float>* leftPanel = MatrixPanel.Create<float>();
MatrixPanel<float>* rightPanel = MatrixPanel.Create<float>();
MatrixPanel<float>* ansPanel = MatrixPanel.Create<float>();
ref long offsetRef = ref Unsafe.As<int, long>(ref p->PrimTileOffset);
ref long lengthRef = ref Unsafe.As<int, long>(ref p->PrimCount);
int ansWidth = p-> AnsPrimOffset;
int ansHeight = p->AnsSecOffset;
int commonK = p->LeftPrimOffset;
int blocksPerRow = ansWidth / size;
for (long c = offsetRef; c < offsetRef + lengthRef; c++)
{
int i = (int)(c / blocksPerRow) * size;
int j = (int)(c % blocksPerRow) * size;
NativeIntrinsic.Intrinsic.f32_clear_panel((MatrixPanel*)ansPanel);
for (int k = 0; k < commonK; k += size)
{
NativeIntrinsic.Intrinsic
.f32_build_panel((MatrixPanel*)leftPanel, leftBuffer, commonK,
ansHeight, k, i);
NativeIntrinsic.Intrinsic
.f32_build_panel((MatrixPanel*)rightPanel, rightBuffer, ansWidth,
commonK, j, k);
NativeIntrinsic.Intrinsic
.f32_panel_fma((MatrixPanel*)leftPanel, (MatrixPanel*)rightPanel, (MatrixPanel*)ansPanel);
}
NativeIntrinsic.Intrinsic
.f32_store_panel((MatrixPanel*)ansPanel, ansBuffer, ansWidth,
ansHeight, j, i);
}
MatrixPanel.Destroy(leftPanel);
MatrixPanel.Destroy(rightPanel);
MatrixPanel.Destroy(ansPanel);
>>>>>>> stgsharp-dev/giga
}
}
@@ -1,362 +0,0 @@
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//-----------------------------------------------------------------------
=======
//-----------------------------------------------------------------------
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
// -----------------------------------------------------------------------
// file="MatrixCompute.Basic"
// Project: StgSharp
// AuthorGroup: Nitload
// Copyright (c) Nitload. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in all
// copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
// SOFTWARE.
//
// -----------------------------------------------------------------------
// -----------------------------------------------------------------------
using StgSharp.Collections;
using StgSharp.HighPerformance;
using StgSharp.Internal;
using System;
using System.Collections.Generic;
<<<<<<< HEAD
using System.ComponentModel.DataAnnotations.Schema;
=======
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
using System.Linq;
using System.Numerics;
using System.Security.AccessControl;
using System.Text;
using System.Threading.Tasks;
namespace StgSharp.Mathematics.Numeric
{
<<<<<<< HEAD
public static partial class MatrixCompute
{
public static unsafe void Add(Matrix<float> left, Matrix<float> right, Matrix<float> ans)
=======
public static class MatrixCompute
{
public static unsafe Matrix<float> Add(
Matrix<float> left,
Matrix<float> right,
Matrix<float> ans)
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
{
if (left.ColumnLength != right.ColumnLength ||
left.RowLength != right.RowLength ||
left.ColumnLength != ans.ColumnLength ||
left.RowLength != ans.RowLength) {
throw new IndexOutOfRangeException("Matrix dimensions must agree.");
}
long count = (long)left.KernelColumnLength * left.KernelRowLength;
if (count <= 256)
{
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* rightPtr = right.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_add(leftPtr, rightPtr, ansPtr, count);
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
} else if (count <= 1024)
{
MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* rightPtr = right.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_add(leftPtr, rightPtr, ansPtr, count);
MatrixParallel.ReturnParallelResources(ref pool);
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Left = (nint)left.Buffer;
package->Right = (nint)right.Buffer;
package->Result = (nint)ans.Buffer;
package->ElementSize = sizeof(float);
<<<<<<< HEAD
package->PrimCount = ans.KernelColumnLength;
package->SecCount = ans.KernelRowLength;
=======
package->PrimCount = left.KernelColumnLength;
package->SecCount = left.KernelRowLength;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
package->ComputeMode = new MatrixOpMode(MatrixOperationStyle.BUFFER_OP, MatrixOperationParam.LEFT_RIGHT_ANS_PARAM);
package->ComputeHandle = (IntPtr)NativeIntrinsic.Intrinsic.f32_buffer_add;
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
taskGroup.Dispose();
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
}
public static unsafe void Fill(Matrix<float> ans, float value)
{
long count = (long)ans.KernelColumnLength * ans.KernelRowLength;
ScalarPacket* scalar = MatrixParallelFactory.CreateScalarPacket();
scalar->Data<float>(0) = value;
if (count <= 256)
{
NativeIntrinsic.Intrinsic.f32_buffer_fill(ans.Buffer, scalar, count);
return;
} else if (count <= 1024)
{
MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
NativeIntrinsic.Intrinsic.f32_buffer_fill(ans.Buffer, scalar, count);
MatrixParallel.ReturnParallelResources(ref pool);
return;
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Result = (nint)ans.Buffer;
package->ElementSize = sizeof(float);
package->PrimCount = ans.KernelColumnLength;
package->SecCount = ans.KernelRowLength;
package->ComputeMode = new MatrixOpMode(MatrixOperationStyle.BUFFER_OP, MatrixOperationParam.ANS_SCALAR_PARAM);
package->ComputeHandle = (IntPtr)NativeIntrinsic.Intrinsic.f32_buffer_fill;
package->Scalar = scalar;
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
MatrixParallelFactory.Release(scalar);
taskGroup.Dispose();
}
<<<<<<< HEAD
public static unsafe void Mul(Matrix<float> left, Matrix<float> right, Matrix<float> ans)
{
// For matrix multiplication (left: MxK) * (right: KxN) => ans: MxN
// ColumnLength = number of columns (N), RowLength = number of rows (M)
if (left.ColumnLength != right.RowLength ||
ans.ColumnLength != right.ColumnLength ||
ans.RowLength != left.RowLength)
{
throw new IndexOutOfRangeException("Matrix dimensions must agree.");
}
long count = (long)left.KernelColumnLength * left.KernelRowLength;
if (count <= 1024)
{
MatrixParallelThread[] pool = null;
if (count > 256) {
pool = MatrixParallel.LeadParallel(1);
}
MatrixPanel<float>* leftPanel = MatrixPanel.Create<float>();
MatrixPanel<float>* rightPanel = MatrixPanel.Create<float>();
MatrixPanel<float>* ansPanel = MatrixPanel.Create<float>();
int size = MatrixPanel.KernelSideCount<float>();
for (int i = 0; i < left.RowLength; i += size)
{
for (int j = 0; j < right.ColumnLength; j += size)
{
NativeIntrinsic.Intrinsic.f32_clear_panel((MatrixPanel*)ansPanel);
for (int k = 0; k < left.ColumnLength; k += size)
{
NativeIntrinsic.Intrinsic
.f32_build_panel((MatrixKernel*)left.Buffer,
(MatrixPanel*)leftPanel,
left.ColumnLength, left.RowLength, i,
k);
NativeIntrinsic.Intrinsic
.f32_build_panel((MatrixKernel*)right.Buffer,
(MatrixPanel*)rightPanel,
right.ColumnLength, right.RowLength, k,
j);
NativeIntrinsic.Intrinsic
.f32_panel_fma((MatrixPanel*)leftPanel,
(MatrixPanel*)rightPanel,
(MatrixPanel*)ansPanel);
}
NativeIntrinsic.Intrinsic
.f32_store_panel((MatrixKernel*)ans.Buffer,
(MatrixPanel*)ansPanel, ans.ColumnLength,
ans.RowLength, i, j);
}
}
MatrixPanel.Destroy(leftPanel);
MatrixPanel.Destroy(rightPanel);
MatrixPanel.Destroy(ansPanel);
if (count > 256) {
MatrixParallel.ReturnParallelResources(ref pool!);
}
return;
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Right = (nint)left.Buffer;
package->Result = (nint)ans.Buffer;
package->ElementSize = sizeof(float);
package->PrimCount = left.KernelColumnLength;
package->SecCount = left.KernelRowLength;
package->ComputeMode = new MatrixOpMode(MatrixOperationStyle.BUFFER_OP, MatrixOperationParam.RIGHT_ANS_SCALAR_PARAM);
package->ComputeHandle = (IntPtr)NativeIntrinsic.Intrinsic.f32_buffer_scalar_mul;
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
taskGroup.Dispose();
return;
}
public static unsafe void Mul(Matrix<float> left, float right, Matrix<float> ans)
=======
public static unsafe Matrix<float> Mul(
Matrix<float> left,
Matrix<float> right,
Matrix<float> ans)
{
if (left.RowLength != right.ColumnLength ||
left.RowLength != ans.RowLength ||
right.ColumnLength != ans.ColumnLength) {
throw new IndexOutOfRangeException("Matrix dimensions must agree.");
}
throw new NotImplementedException();
}
public static unsafe Matrix<float> Mul(Matrix<float> left, float right, Matrix<float> ans)
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
{
if (left.ColumnLength != ans.ColumnLength || left.RowLength != ans.RowLength) {
throw new IndexOutOfRangeException("Matrix dimensions must agree.");
}
long count = (long)left.KernelColumnLength * left.KernelRowLength;
ScalarPacket* scalar = MatrixParallelFactory.CreateScalarPacket();
scalar->Data<float>(0) = right;
if (count <= 256)
{
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_scalar_mul(leftPtr, ansPtr, scalar, count);
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
} else if (count <= 1024)
{
MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_scalar_mul(leftPtr, ansPtr, scalar, count);
MatrixParallel.ReturnParallelResources(ref pool);
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Right = (nint)left.Buffer;
package->Result = (nint)ans.Buffer;
package->ElementSize = sizeof(float);
package->PrimCount = left.KernelColumnLength;
package->SecCount = left.KernelRowLength;
package->Scalar = scalar;
package->ComputeMode = new MatrixOpMode(MatrixOperationStyle.BUFFER_OP, MatrixOperationParam.RIGHT_ANS_SCALAR_PARAM);
package->ComputeHandle = (IntPtr)NativeIntrinsic.Intrinsic.f32_buffer_scalar_mul;
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
taskGroup.Dispose();
MatrixParallelFactory.Release(scalar);
<<<<<<< HEAD
return;
}
public static unsafe void Sub(Matrix<float> left, Matrix<float> right, Matrix<float> ans)
=======
return ans;
}
public static unsafe Matrix<float> Sub(
Matrix<float> left,
Matrix<float> right,
Matrix<float> ans)
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
{
if (left.ColumnLength != right.ColumnLength ||
left.RowLength != right.RowLength ||
left.ColumnLength != ans.ColumnLength ||
left.RowLength != ans.RowLength) {
throw new IndexOutOfRangeException("Matrix dimensions must agree.");
}
long count = (long)left.KernelColumnLength * left.KernelRowLength;
if (count <= 256)
{
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* rightPtr = right.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_sub(leftPtr, rightPtr, ansPtr, count);
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
} else if (count <= 1024)
{
MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* rightPtr = right.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_sub(leftPtr, rightPtr, ansPtr, count);
MatrixParallel.ReturnParallelResources(ref pool);
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Left = (nint)left.Buffer;
package->Right = (nint)right.Buffer;
package->Result = (nint)ans.Buffer;
package->ElementSize = sizeof(float);
package->PrimCount = left.KernelColumnLength;
package->SecCount = left.KernelRowLength;
package->ComputeMode = new MatrixOpMode(MatrixOperationStyle.BUFFER_OP, MatrixOperationParam.LEFT_RIGHT_ANS_PARAM);
package->ComputeHandle = (IntPtr)NativeIntrinsic.Intrinsic.f32_buffer_sub;
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
taskGroup.Dispose();
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
}
}
}
@@ -1,4 +1,16 @@
<<<<<<< HEAD
//-----------------------------------------------------------------------
=======
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
//-----------------------------------------------------------------------
=======
//-----------------------------------------------------------------------
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
//-----------------------------------------------------------------------
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
>>>>>>> stgsharp-dev/giga
// -----------------------------------------------------------------------
// file="MatrixCompute"
// Project: StgSharp
@@ -25,13 +37,476 @@
//
// -----------------------------------------------------------------------
// -----------------------------------------------------------------------
<<<<<<< HEAD
using System;
using System.Collections.Generic;
using System.Linq;
=======
using StgSharp.Collections;
using StgSharp.HighPerformance;
using StgSharp.Internal;
using System;
using System.Collections.Generic;
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
using System.ComponentModel.DataAnnotations.Schema;
=======
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
using System.ComponentModel.DataAnnotations.Schema;
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
using System.Linq;
using System.Numerics;
using System.Security.AccessControl;
>>>>>>> stgsharp-dev/giga
using System.Text;
using System.Threading.Tasks;
namespace StgSharp.Mathematics.Numeric
{
<<<<<<< HEAD
public static partial class MatrixCompute { }
=======
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
public static partial class MatrixCompute
{
public static unsafe void Add(Matrix<float> left, Matrix<float> right, Matrix<float> ans)
=======
public static class MatrixCompute
{
public static unsafe Matrix<float> Add(
Matrix<float> left,
Matrix<float> right,
Matrix<float> ans)
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
public static partial class MatrixCompute
{
public static unsafe void Add(Matrix<float> left, Matrix<float> right, Matrix<float> ans)
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
{
if (left.ColumnLength != right.ColumnLength ||
left.RowLength != right.RowLength ||
left.ColumnLength != ans.ColumnLength ||
left.RowLength != ans.RowLength) {
throw new IndexOutOfRangeException("Matrix dimensions must agree.");
}
long count = (long)left.KernelColumnLength * left.KernelRowLength;
if (count <= 256)
{
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* rightPtr = right.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_add(leftPtr, rightPtr, ansPtr, count);
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
return;
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
} else if (count <= 1024)
{
MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* rightPtr = right.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_add(leftPtr, rightPtr, ansPtr, count);
MatrixParallel.ReturnParallelResources(ref pool);
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
return;
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Left = (nint)left.Buffer;
package->Right = (nint)right.Buffer;
package->Answer = (nint)ans.Buffer;
package->ElementSize = sizeof(float);
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
package->PrimCount = ans.KernelColumnLength;
package->SecCount = ans.KernelRowLength;
=======
package->PrimCount = left.KernelColumnLength;
package->SecCount = left.KernelRowLength;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
package->ComputeMode = new MatrixOpMode(MatrixOperationStyle.BUFFER_OP, MatrixOperationParam.LEFT_RIGHT_ANS_PARAM);
========
package->PrimCount = ans.KernelColumnLength;
package->SecCount = ans.KernelRowLength;
package->ComputeMode = new MatrixOpMode(MatrixIndexStyle.BUFFER_INDEX, MatrixOperationParam.LEFT_RIGHT_ANS_PARAM);
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
package->ComputeHandle = (IntPtr)NativeIntrinsic.Intrinsic.f32_buffer_add;
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
taskGroup.Dispose();
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
return;
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
}
public static unsafe void Fill(Matrix<float> ans, float value)
{
long count = (long)ans.KernelColumnLength * ans.KernelRowLength;
ScalarPacket* scalar = MatrixParallelFactory.CreateScalarPacket();
scalar->Data<float>(0) = value;
if (count <= 256)
{
NativeIntrinsic.Intrinsic.f32_buffer_fill(ans.Buffer, scalar, count);
return;
} else if (count <= 1024)
{
MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
NativeIntrinsic.Intrinsic.f32_buffer_fill(ans.Buffer, scalar, count);
MatrixParallel.ReturnParallelResources(ref pool);
return;
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Answer = (nint)ans.Buffer;
package->ElementSize = sizeof(float);
package->PrimCount = ans.KernelColumnLength;
package->SecCount = ans.KernelRowLength;
package->ComputeMode = new MatrixOpMode(MatrixIndexStyle.BUFFER_INDEX, MatrixOperationParam.ANS_SCALAR_PARAM);
package->ComputeHandle = (IntPtr)NativeIntrinsic.Intrinsic.f32_buffer_fill;
package->Scalar = scalar;
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
MatrixParallelFactory.Release(scalar);
taskGroup.Dispose();
}
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
public static unsafe void Mul(Matrix<float> left, Matrix<float> right, Matrix<float> ans)
{
// For matrix multiplication (left: MxK) * (right: KxN) => ans: MxN
// ColumnLength = number of columns (N), RowLength = number of rows (M)
if (left.ColumnLength != right.RowLength ||
ans.ColumnLength != right.ColumnLength ||
ans.RowLength != left.RowLength)
{
throw new IndexOutOfRangeException("Matrix dimensions must agree.");
}
long count = (long)left.KernelColumnLength * left.KernelRowLength;
if (count <= 1024)
{
MatrixParallelThread[] pool = null;
if (count > 256) {
pool = MatrixParallel.LeadParallel(1);
}
MatrixPanel<float>* leftPanel = MatrixPanel.Create<float>();
MatrixPanel<float>* rightPanel = MatrixPanel.Create<float>();
MatrixPanel<float>* ansPanel = MatrixPanel.Create<float>();
int size = MatrixPanel.KernelSideCount<float>();
for (int i = 0; i < left.RowLength; i += size)
{
for (int j = 0; j < right.ColumnLength; j += size)
{
NativeIntrinsic.Intrinsic.f32_clear_panel((MatrixPanel*)ansPanel);
for (int k = 0; k < left.ColumnLength; k += size)
{
NativeIntrinsic.Intrinsic
.f32_build_panel((MatrixKernel*)left.Buffer,
(MatrixPanel*)leftPanel,
left.ColumnLength, left.RowLength, i,
k);
NativeIntrinsic.Intrinsic
.f32_build_panel((MatrixKernel*)right.Buffer,
(MatrixPanel*)rightPanel,
right.ColumnLength, right.RowLength, k,
j);
NativeIntrinsic.Intrinsic
.f32_panel_fma((MatrixPanel*)leftPanel,
(MatrixPanel*)rightPanel,
(MatrixPanel*)ansPanel);
}
NativeIntrinsic.Intrinsic
.f32_store_panel((MatrixKernel*)ans.Buffer,
(MatrixPanel*)ansPanel, ans.ColumnLength,
ans.RowLength, i, j);
}
}
MatrixPanel.Destroy(leftPanel);
MatrixPanel.Destroy(rightPanel);
MatrixPanel.Destroy(ansPanel);
if (count > 256) {
MatrixParallel.ReturnParallelResources(ref pool!);
}
return;
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Right = (nint)left.Buffer;
package->Result = (nint)ans.Buffer;
package->ElementSize = sizeof(float);
package->PrimCount = left.KernelColumnLength;
package->SecCount = left.KernelRowLength;
package->ComputeMode = new MatrixOpMode(MatrixOperationStyle.BUFFER_OP, MatrixOperationParam.RIGHT_ANS_SCALAR_PARAM);
package->ComputeHandle = (IntPtr)NativeIntrinsic.Intrinsic.f32_buffer_scalar_mul;
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
taskGroup.Dispose();
return;
}
public static unsafe void Mul(Matrix<float> left, float right, Matrix<float> ans)
=======
public static unsafe Matrix<float> Mul(
Matrix<float> left,
Matrix<float> right,
Matrix<float> ans)
========
public static unsafe void Mul(Matrix<float> left, Matrix<float> right, Matrix<float> ans)
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
{
// For matrix multiplication (left: MxK) * (right: KxN) => ans: MxN
// ColumnLength = number of columns (N), RowLength = number of rows (M)
if (left.ColumnLength != right.RowLength ||
ans.ColumnLength != right.ColumnLength ||
ans.RowLength != left.RowLength)
{
throw new IndexOutOfRangeException("Matrix dimensions must agree.");
}
long count = (long)left.KernelColumnLength * left.KernelRowLength;
int size = MatrixPanel.KernelSideCount<float>();
if (count <= 1024)
{
MatrixParallelThread[] pool = null;
if (count > 256) {
pool = MatrixParallel.LeadParallel(1);
}
MatrixPanel<float>* leftPanel = MatrixPanel.Create<float>();
MatrixPanel<float>* rightPanel = MatrixPanel.Create<float>();
MatrixPanel<float>* ansPanel = MatrixPanel.Create<float>();
for (int i = 0; i < ans.KernelRowLength; i += size)
{
for (int j = 0; j < ans.KernelColumnLength; j += size)
{
NativeIntrinsic.Intrinsic.f32_clear_panel((MatrixPanel*)ansPanel);
// Console.WriteLine($"{i}{j}");
for (int k = 0; k < left.KernelColumnLength; k += size)
{
NativeIntrinsic.Intrinsic
.f32_build_panel((MatrixPanel*)leftPanel,
(MatrixKernel*)left.Buffer,
left.KernelColumnLength,
left.KernelRowLength, i, k);
NativeIntrinsic.Intrinsic
.f32_build_panel((MatrixPanel*)rightPanel,
(MatrixKernel*)right.Buffer,
right.KernelColumnLength,
right.KernelRowLength, k, j);
NativeIntrinsic.Intrinsic
.f32_panel_fma((MatrixPanel*)leftPanel,
(MatrixPanel*)rightPanel,
(MatrixPanel*)ansPanel);
}
NativeIntrinsic.Intrinsic
.f32_store_panel((MatrixPanel*)ansPanel,
(MatrixKernel*)ans.Buffer,
ans.KernelColumnLength, ans.KernelRowLength,
i, j);
}
}
MatrixPanel.Destroy(leftPanel);
MatrixPanel.Destroy(rightPanel);
MatrixPanel.Destroy(ansPanel);
if (count > 256) {
MatrixParallel.ReturnParallelResources(ref pool!);
}
return;
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Left = (nint)left.Buffer;
package->Right = (nint)right.Buffer;
package->Answer = (nint)ans.Buffer;
package->AnsPrimOffset = ans.KernelRowLength;
package->AnsSecOffset = ans.KernelColumnLength;
package->LeftPrimOffset = left.KernelColumnLength;
package->PrimCount = ans.KernelColumnLength / size;
package->SecCount = ans.KernelRowLength / size;
package->ElementSize = size;
package->ComputeMode = new MatrixOpMode(MatrixIndexStyle.BUFFER_INDEX, MatrixOperationSpecial.SEQ_FMA);
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
taskGroup.Dispose();
return;
}
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
public static unsafe Matrix<float> Mul(Matrix<float> left, float right, Matrix<float> ans)
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
public static unsafe void Mul(Matrix<float> left, float right, Matrix<float> ans)
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
{
if (left.ColumnLength != ans.ColumnLength || left.RowLength != ans.RowLength) {
throw new IndexOutOfRangeException("Matrix dimensions must agree.");
}
long count = (long)left.KernelColumnLength * left.KernelRowLength;
ScalarPacket* scalar = MatrixParallelFactory.CreateScalarPacket();
scalar->Data<float>(0) = right;
if (count <= 256)
{
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_scalar_mul(leftPtr, ansPtr, scalar, count);
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
return;
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
} else if (count <= 1024)
{
MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_scalar_mul(leftPtr, ansPtr, scalar, count);
MatrixParallel.ReturnParallelResources(ref pool);
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
return;
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Right = (nint)left.Buffer;
package->Answer = (nint)ans.Buffer;
package->ElementSize = sizeof(float);
package->PrimCount = left.KernelColumnLength;
package->SecCount = left.KernelRowLength;
package->Scalar = scalar;
package->ComputeMode = new MatrixOpMode(MatrixIndexStyle.BUFFER_INDEX, MatrixOperationParam.RIGHT_ANS_SCALAR_PARAM);
package->ComputeHandle = (IntPtr)NativeIntrinsic.Intrinsic.f32_buffer_scalar_mul;
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
taskGroup.Dispose();
MatrixParallelFactory.Release(scalar);
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
return;
}
public static unsafe void Sub(Matrix<float> left, Matrix<float> right, Matrix<float> ans)
=======
return ans;
}
public static unsafe Matrix<float> Sub(
Matrix<float> left,
Matrix<float> right,
Matrix<float> ans)
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
return;
}
public static unsafe void Sub(Matrix<float> left, Matrix<float> right, Matrix<float> ans)
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
{
if (left.ColumnLength != right.ColumnLength ||
left.RowLength != right.RowLength ||
left.ColumnLength != ans.ColumnLength ||
left.RowLength != ans.RowLength) {
throw new IndexOutOfRangeException("Matrix dimensions must agree.");
}
long count = (long)left.KernelColumnLength * left.KernelRowLength;
if (count <= 256)
{
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* rightPtr = right.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_sub(leftPtr, rightPtr, ansPtr, count);
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
return;
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
} else if (count <= 1024)
{
MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);
MatrixKernel<float>* leftPtr = left.Buffer;
MatrixKernel<float>* rightPtr = right.Buffer;
MatrixKernel<float>* ansPtr = ans.Buffer;
NativeIntrinsic.Intrinsic.f32_buffer_sub(leftPtr, rightPtr, ansPtr, count);
MatrixParallel.ReturnParallelResources(ref pool);
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
return;
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
}
MatrixParallelTaskPackage* package = MatrixParallelFactory.CreateBaseTask<float>();
package->Left = (nint)left.Buffer;
package->Right = (nint)right.Buffer;
package->Answer = (nint)ans.Buffer;
package->ElementSize = sizeof(float);
package->PrimCount = left.KernelColumnLength;
package->SecCount = left.KernelRowLength;
package->ComputeMode = new MatrixOpMode(MatrixIndexStyle.BUFFER_INDEX, MatrixOperationParam.LEFT_RIGHT_ANS_PARAM);
package->ComputeHandle = (IntPtr)NativeIntrinsic.Intrinsic.f32_buffer_sub;
MatrixParallelHandle taskGroup = MatrixParallel.ScheduleTask(package);
MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
taskGroup.Dispose();
<<<<<<<< HEAD:StgSharp.Mathematics/Numeric/MatrixCompute.Basic.cs
<<<<<<< HEAD
return;
=======
return ans;
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
========
return;
>>>>>>>> stgsharp-dev/giga:StgSharp.Mathematics/Numeric/MatrixCompute.cs
}
}
>>>>>>> stgsharp-dev/giga
}
@@ -1,8 +1,12 @@
<<<<<<< HEAD
<<<<<<< HEAD
//-----------------------------------------------------------------------
=======
//-----------------------------------------------------------------------
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
//-----------------------------------------------------------------------
>>>>>>> stgsharp-dev/giga
// -----------------------------------------------------------------------
// file="MatrixComputeModel"
// Project: StgSharp
@@ -46,17 +50,31 @@ namespace StgSharp.Mathematics.Numeric
((delegate* unmanaged[Cdecl]<void*, void*, void*, long, void>)p->ComputeHandle)((void*)(p->Left + offset),
(void*)(p->Right + offset),
(void*)(p->Result + offset),
(void*)(p->Answer + offset),
count);
MatrixParallelFactory.Release(p);
}
internal static unsafe void BufferComputeBinaryScalar(MatrixParallelTaskPackage* p)
{
int size = p->ElementSize * 16;
long count = Unsafe.As<int, long>(ref p->PrimCount);
long offset = Unsafe.As<int, long>(ref p->PrimTileOffset) * size;
ScalarPacket* scalar = p->Scalar;
((delegate* unmanaged[Cdecl]<void*, void*, void*,ScalarPacket*, long, void>)p->ComputeHandle)((void*)(p->Left + offset),
(void*)(p->Right + offset),
(void*)(p->Answer + offset),
scalar,
count);
MatrixParallelFactory.Release(p);
}
internal static unsafe void BufferComputeNoOperatorScalar(MatrixParallelTaskPackage* p)
{
int size = p->ElementSize * 16;
long count = Unsafe.As<int, long>(ref p->PrimCount);
long offset = Unsafe.As<int, long>(ref p->PrimTileOffset) * size;
((delegate* unmanaged[Cdecl]<void*, ScalarPacket*,long, void>)p->ComputeHandle)((void*)(p->Result + offset),
((delegate* unmanaged[Cdecl]<void*, ScalarPacket*,long, void>)p->ComputeHandle)((void*)(p->Answer + offset),
p->Scalar, count);
MatrixParallelFactory.Release(p);
}
@@ -68,7 +86,7 @@ namespace StgSharp.Mathematics.Numeric
long offset = Unsafe.As<int, long>(ref p->PrimTileOffset) * size;
((delegate* unmanaged[Cdecl]<void*, void*, long, void>)p->ComputeHandle)((void*)(p->Right + offset),
(void*)(p->Result + offset),
(void*)(p->Answer + offset),
count);
MatrixParallelFactory.Release(p);
}
@@ -79,6 +97,7 @@ namespace StgSharp.Mathematics.Numeric
long count = Unsafe.As<int, long>(ref p->PrimCount);
long offset = Unsafe.As<int, long>(ref p->PrimTileOffset) * size;
((delegate* unmanaged[Cdecl]< void*, void*, ScalarPacket*, long, void>)p->ComputeHandle)((void*)(p->Right + offset),
<<<<<<< HEAD
(void*)(p->Result + offset),
<<<<<<< HEAD
p->Scalar,
@@ -95,53 +114,25 @@ namespace StgSharp.Mathematics.Numeric
=======
internal static unsafe void Compute_Binary(MatrixParallelTaskPackage* p)
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
(void*)(p->Answer + offset),
p->Scalar,
count);
MatrixParallelFactory.Release(p);
}
internal static unsafe void SpecialBufferCompute(MatrixParallelTaskPackage* p)
>>>>>>> stgsharp-dev/giga
{
int eSize = p->ElementSize;
// base pointer to matrix kernels
nint l = p->Left, r = p->Right, a = p->Result;
long
// set beginning value to counters for primary offsets
lCount = (long)p->LeftPrimOffset * p->LeftPrimStride,
rCount = (long)p->RightPrimOffset * p->RightPrimStride,
aCount = (long)p->ResultPrimOffset * p->ResultPrimStride,
pCount = int.Min(p->PrimCount, p->PrimColumnCountInTile + p->PrimTileOffset) /*_count of tile may be too much*/,
//edge to reset counters
lLimit = pCount - p->LeftPrimOffset,
rLimit = pCount - p->RightPrimOffset,
aLimit = pCount - p->ResultPrimOffset;
delegate* unmanaged[Cdecl]<IntPtr, IntPtr, IntPtr, void> op =
(delegate* unmanaged[Cdecl]<IntPtr, IntPtr, IntPtr, void>)p->ComputeHandle;
for (long i = p->PrimTileOffset % pCount; i < pCount; i++)
switch ((MatrixOperationSpecial)p->ComputeMode.ParameterStyle)
{
// update primary counters
// if reaches edge, reset to zero
lCount = i < lLimit ? lCount + p->LeftPrimStride : 0;
rCount = i < rLimit ? rCount + p->RightPrimStride : 0;
aCount = i < rLimit ? aCount + p->ResultPrimStride : 0;
// get kernel column pointers
nint left = l + (nint)(lCount * eSize);
nint right = r + (nint)(rCount * eSize);
nint ans = a + (nint)(aCount * eSize);
long
lc = (long)p->LeftSecOffset * p->LeftSecStride,
rc = (long)p->RightSecOffset * p->RightSecStride,
ac = (long)p->ResultSecOffset * p->ResultSecStride,
sCount = int.Min(p->SecCount, p->PrimColumnCountInTile * p->SecTileOffset);
long
ll = sCount - p->LeftSecOffset,
rl = sCount - p->RightSecOffset,
al = sCount - p->ResultSecOffset;
for (long j = p->SecTileOffset % sCount; j < sCount; j++)
{
lc = j < ll ? lc + p->LeftSecStride : 0;
rc = j < rl ? rc + p->RightSecStride : 0;
ac = j < al ? ac + p->ResultSecStride : 0;
op(left + (nint)lc, right + (nint)rc, ans + (nint)ac);
}
case MatrixOperationSpecial.SEQ_FMA:
MatrixCompute.ComputeFmaPanelF32(p);
break;
default:
break;
}
<<<<<<< HEAD
MatrixParallelFactory.Release(p);
}
@@ -297,6 +288,8 @@ namespace StgSharp.Mathematics.Numeric
}
}
MatrixParallelFactory.Release(p);
=======
>>>>>>> stgsharp-dev/giga
}
<<<<<<< HEAD
@@ -1,4 +1,4 @@
//-----------------------------------------------------------------------
//-----------------------------------------------------------------------
// -----------------------------------------------------------------------
// file="MatrixParallel.Publish"
// Project: StgSharp
@@ -51,18 +51,15 @@ namespace StgSharp.Mathematics.Numeric
MatrixParallelTaskPackage* nonGeneric = package;
switch (nonGeneric->ComputeMode.OperationStyle)
{
case MatrixOperationStyle.PANEL_OP:
throw new NotImplementedException();
case MatrixOperationStyle.BUFFER_OP:
case MatrixIndexStyle.BUFFER_INDEX:
return ScheduleBufferTask(nonGeneric);
case MatrixOperationStyle.KERNEL_OP:
return ScheduleKernelTask(nonGeneric);
default:
throw new InvalidOperationException($"Unknown mode {nonGeneric->ComputeMode.OperationStyle}.");
}
}
private static unsafe MatrixParallelHandle ScheduleBufferTask(MatrixParallelTaskPackage* package)
private static unsafe MatrixParallelHandle ScheduleBufferTask(
MatrixParallelTaskPackage* package)
{
int primCount = package->PrimCount;
int secCount = package->SecCount;
@@ -113,79 +110,5 @@ namespace StgSharp.Mathematics.Numeric
return handle;
}
private static unsafe MatrixParallelHandle ScheduleKernelTask(MatrixParallelTaskPackage* package)
{
int primCount = package->PrimCount;
int secCount = package->SecCount;
int tileWidth = (1024 / secCount) + 1;
int tileCount = (primCount + tileWidth - 1) / tileWidth;
MatrixParallelThread[] pool = LeadParallel(tileCount);
/*
if (pool.Length == 0)
{
// no need
// LeadParallel has contained capacity check
}
/**/
MatrixParallelHandle handle = new MatrixParallelHandle(pool);
if (handle.Wraps.Length == 1)
{
handle.Wraps[0].WrapTask.Enqueue((nint)package);
return handle;
}
int threadCount = pool.Length;
int tilePerThreadLess = tileCount / threadCount; // tiles per thread without extra slice
int columnAfterBaseTile = tileCount % threadCount * tileWidth; // tile sliced into columns
int extraColumnPerThread = columnAfterBaseTile / threadCount;
int extraColumnCount = columnAfterBaseTile % threadCount; // columns to be sliced
int total = primCount;
MatrixParallelTaskPackage* current = package;
foreach (MatrixParallelWrap wrap in handle.Wraps)
{
bool hasSlice = columnAfterBaseTile > 0;
bool isLargeSlice = extraColumnCount > 0;
// _count tiles for wrap
int wrapWidth = wrap!.WrapTaskCapacity/**/;
int columnFromSlicingCount = (hasSlice ? extraColumnPerThread : 0) * wrapWidth;
int baseColumn = wrapWidth * tilePerThreadLess * tileWidth;
int columnInWrap = baseColumn + columnFromSlicingCount + (isLargeSlice ? 1 : 0);
// set tasks
if (columnInWrap == 0)
{
#if DEBUG
throw new InvalidOperationException("Zero tasks published.");
#else
break;
#endif
}
// update current task
current->PrimColumnCountInTile = columnInWrap;
current->SecColumnCountInTile = current->SecCount;
current->SecTileOffset = 0;
// remove tiles _count
extraColumnCount--;
columnAfterBaseTile -= columnFromSlicingCount;
total -= columnInWrap;
// set to wrap and push
wrap.WrapTask.Enqueue((nint)current);
if (total <= 0)
{
break;
}
current = MatrixParallelFactory.FromExistPackage(current);
current->PrimTileOffset += columnInWrap;
}
return handle;
}
}
}
+14 -3
View File
@@ -1,8 +1,12 @@
<<<<<<< HEAD
<<<<<<< HEAD
//-----------------------------------------------------------------------
=======
//-----------------------------------------------------------------------
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
//-----------------------------------------------------------------------
>>>>>>> stgsharp-dev/giga
// -----------------------------------------------------------------------
// file="MatrixParallel"
// Project: StgSharp
@@ -32,6 +36,7 @@
using StgSharp.Collections;
using System;
<<<<<<< HEAD
<<<<<<< HEAD
using System.Collections.Generic;
using System.Linq;
using System.Text;
@@ -42,10 +47,12 @@ namespace StgSharp.Mathematics.Numeric
public static class MatrixParallel
=======
using System.Collections.Concurrent;
=======
>>>>>>> stgsharp-dev/giga
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.Runtime.CompilerServices;
using System.Threading;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace StgSharp.Mathematics.Numeric
{
@@ -113,7 +120,11 @@ namespace StgSharp.Mathematics.Numeric
}
<<<<<<< HEAD
<<<<<<< HEAD
}
=======
}
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
}
>>>>>>> stgsharp-dev/giga
@@ -1,4 +1,4 @@
//-----------------------------------------------------------------------
//-----------------------------------------------------------------------
// -----------------------------------------------------------------------
// file="MatrixParallelTaskPackage"
// Project: StgSharp
@@ -52,12 +52,17 @@ namespace StgSharp.Mathematics.Numeric
* matrix_op_mode;
*/
public enum MatrixOperationStyle : short
public enum MatrixOperationSpecial : short
{
PANEL_OP = 1,
BUFFER_OP = 2,
KERNEL_OP = 3,
SEQ_FMA = -1,
}
public enum MatrixIndexStyle : short
{
BUFFER_INDEX = 1,
}
@@ -73,11 +78,15 @@ namespace StgSharp.Mathematics.Numeric
}
[StructLayout(LayoutKind.Sequential)]
public struct MatrixOpMode(MatrixOperationStyle style, MatrixOperationParam paramLayout)
public struct MatrixOpMode(MatrixIndexStyle style, MatrixOperationParam paramLayout)
{
public MatrixIndexStyle OperationStyle = style;
public MatrixOperationParam ParameterStyle = paramLayout;
public MatrixOperationStyle OperationStyle = style;
public MatrixOpMode(MatrixIndexStyle style, MatrixOperationSpecial paramLayout)
: this(style, (MatrixOperationParam)paramLayout) { }
}
@@ -86,9 +95,12 @@ namespace StgSharp.Mathematics.Numeric
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static unsafe void Copy(MatrixParallelTaskPackage* source, MatrixParallelTaskPackage* target)
public static unsafe void Copy(
MatrixParallelTaskPackage* source,
MatrixParallelTaskPackage* target)
{
Buffer.MemoryCopy(source, target, sizeof(MatrixParallelTaskPackage), sizeof(MatrixParallelTaskPackage));
Buffer.MemoryCopy(source, target, sizeof(MatrixParallelTaskPackage),
sizeof(MatrixParallelTaskPackage));
}
#region source
@@ -102,7 +114,7 @@ namespace StgSharp.Mathematics.Numeric
#region ans
// Group 2: Result kernel base address + reserved
[FieldOffset(16)] public IntPtr Result; // 8
[FieldOffset(16)] public IntPtr Answer; // 8
[FieldOffset(24)] public int ElementSize;
[FieldOffset(28)] public int ReservedPtr0; // 4 (extension/reserved)
@@ -128,10 +140,10 @@ namespace StgSharp.Mathematics.Numeric
#region ans enum
[FieldOffset(64)]public int ResultPrimOffset; // 4
[FieldOffset(68)]public int ResultPrimStride; // 4
[FieldOffset(72)]public int ResultSecOffset; // 4
[FieldOffset(76)] public int ResultSecStride; // 4
[FieldOffset(64)]public int AnsPrimOffset; // 4
[FieldOffset(68)]public int AnsPrimStride; // 4
[FieldOffset(72)]public int AnsSecOffset; // 4
[FieldOffset(76)] public int AnsSecStride; // 4
#endregion
@@ -1,8 +1,12 @@
<<<<<<< HEAD
<<<<<<< HEAD
//-----------------------------------------------------------------------
=======
//-----------------------------------------------------------------------
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
//-----------------------------------------------------------------------
>>>>>>> stgsharp-dev/giga
// -----------------------------------------------------------------------
// file="MatrixParallelThread"
// Project: StgSharp
@@ -89,11 +93,12 @@ namespace StgSharp.Mathematics.Numeric
while (taskQueue.TryDequeue(out nint handle))
{
MatrixParallelTaskPackage* p = (MatrixParallelTaskPackage*)handle;
if ((short)p->ComputeMode.ParameterStyle < 0) {
MatrixComputeModel.SpecialBufferCompute(p);
}
switch (p->ComputeMode.OperationStyle)
{
case MatrixOperationStyle.PANEL_OP:
break;
case MatrixOperationStyle.BUFFER_OP:
case MatrixIndexStyle.BUFFER_INDEX:
switch (p->ComputeMode.ParameterStyle)
{
case MatrixOperationParam.RIGHT_ANS_PARAM:
@@ -106,6 +111,7 @@ namespace StgSharp.Mathematics.Numeric
MatrixComputeModel.BufferComputeUnaryScalar(p);
break;
case MatrixOperationParam.LEFT_RIGHT_ANS_SCALAR_PARAM:
MatrixComputeModel.BufferComputeBinaryScalar(p);
break;
case MatrixOperationParam.ANS_SCALAR_PARAM:
MatrixComputeModel.BufferComputeNoOperatorScalar(p);
@@ -114,6 +120,7 @@ namespace StgSharp.Mathematics.Numeric
break;
}
break;
<<<<<<< HEAD
case MatrixOperationStyle.KERNEL_OP:
switch (p->ComputeMode.ParameterStyle)
{
@@ -146,6 +153,8 @@ namespace StgSharp.Mathematics.Numeric
break;
}
break;
=======
>>>>>>> stgsharp-dev/giga
default:
break;
}
@@ -417,6 +426,7 @@ namespace StgSharp.Mathematics.Numeric
private static extern IntPtr GetCurrentThread();
[DllImport("kernel32.dll")]
<<<<<<< HEAD
<<<<<<< HEAD
private static extern nuint SetThreadAffinityMask(
IntPtr hThread,
@@ -424,6 +434,11 @@ namespace StgSharp.Mathematics.Numeric
=======
private static extern nuint SetThreadAffinityMask(IntPtr hThread, nuint dwThreadAffinityMask);
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
private static extern nuint SetThreadAffinityMask(
IntPtr hThread,
nuint dwThreadAffinityMask);
>>>>>>> stgsharp-dev/giga
[LibraryImport("kernel32.dll")]
[return: MarshalAs(UnmanagedType.Bool)]
@@ -1,4 +1,4 @@
//-----------------------------------------------------------------------
//-----------------------------------------------------------------------
// -----------------------------------------------------------------------
// file="MatrixParallelWrap"
// Project: StgSharp
@@ -104,18 +104,12 @@ namespace StgSharp.Mathematics.Numeric
while (tasks.TryDequeue(out nint handle))
{
MatrixParallelTaskPackage* task = (MatrixParallelTaskPackage*)handle;
switch (task->ComputeMode.OperationStyle)
if ((int)task->ComputeMode.OperationStyle > 0)
{
case MatrixOperationStyle.PANEL_OP:
break;
case MatrixOperationStyle.BUFFER_OP:
PublishBufferTaskToWorkers(task);
break;
case MatrixOperationStyle.KERNEL_OP:
PublishBufferTaskToWorkers(task);
break;
default:
break;
PublishBufferTaskToWorkers(task);
} else
{
throw new NotImplementedException();
}
}
}
@@ -169,73 +163,6 @@ namespace StgSharp.Mathematics.Numeric
// Console.WriteLine(msg);
}
private void PublishKernelTaskToWorkers(MatrixParallelTaskPackage* package)
{
int primCount = package->PrimCount;
int secCount = package->SecCount;
ReadOnlySpan<MatrixParallelThread> pool = Threads;
if (pool.Length == 1)
{
pool[0].Tasks.Enqueue((nint)package);
return;
}
throw new NotImplementedException();
/*
int threadCount = pool.Length;
int tilePerThreadLess = tileCount / threadCount; // tiles per thread without extra slice
int columnAfterBaseTile = tileCount % threadCount * tileWidth; // tile sliced into columns
int extraColumnPerThread = columnAfterBaseTile / threadCount;
int extraColumnCount = columnAfterBaseTile % threadCount; // columns to be sliced
int total = primCount;
Stack<MatrixParallelWrap> taskBunch = new Stack<MatrixParallelWrap>(threadCount);
MatrixParallelTaskPackageNonGeneric* current = package;
foreach (MatrixParallelWrap wrap in pool.Wraps)
{
bool hasSlice = columnAfterBaseTile > 0;
bool isLargeSlice = extraColumnCount > 0;
// _count tiles for wrap
int wrapWidth = wrap!.WrapTaskCapacity;
int columnFromSlicingCount = (hasSlice ? extraColumnPerThread : 0) * wrapWidth;
int baseColumn = wrapWidth * tilePerThreadLess * tileWidth;
int columnInWrap = baseColumn + columnFromSlicingCount + (isLargeSlice ? 1 : 0);
// set tasks
if (columnInWrap == 0)
{
#if DEBUG
throw new InvalidOperationException("Zero tasks published.");
#else
break;
#endif
}
// update current task
current->PrimColumnCountInTile = columnInWrap;
current->SecColumnCountInTile = current->SecCount;
current->SecTileOffset = 0;
// remove tiles _count
extraColumnCount--;
columnAfterBaseTile -= columnFromSlicingCount;
total -= columnInWrap;
// set to wrap and push
wrap.WrapTask = current;
if (total <= 0)
{
break;
}
current = MatrixParallelFactory.FromExistPackage(current);
current->PrimTileOffset += columnInWrap;
}
/**/
return;
}
#region wrap task
internal unsafe Queue<nint> WrapTask { get; set; } = [];
+16
View File
@@ -141,12 +141,18 @@ typedef void(SN_DECL *PNL_PROC_RAS)(mat_panel *right, mat_panel *ans, scalar_pac
#define PNL_PROC(T_type, T_arch, T_op_name) T_type##_pnl_##T_op_name##_##T_arch
<<<<<<< HEAD
<<<<<<< HEAD
#define DECLARE_PNL_PROC_ANS(T_type, T_arch, T_op_name) \
INTERNAL void SN_DECL PNL_PROC(T_type, T_arch, \
T_op_name)(MAT_PANEL_##T_arch##(T_type) *restrict ans)
=======
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
#define DECLARE_PNL_PROC_ANS(T_type, T_arch, T_op_name) \
INTERNAL void SN_DECL PNL_PROC(T_type, T_arch, \
T_op_name)(MAT_PANEL_##T_arch##(T_type) *restrict ans)
>>>>>>> stgsharp-dev/giga
#define DECLARE_PNL_PROC_LEFT_RIGHT_ANS(T_type, T_arch, T_op_name) \
INTERNAL void SN_DECL PNL_PROC(T_type, T_arch, \
T_op_name)(MAT_PANEL_##T_arch##(T_type) const *left, \
@@ -230,6 +236,9 @@ DECLARE_BUF_PROC_ANS_SCALAR(float, 512, fill);
#pragma region fma
<<<<<<< HEAD
<<<<<<< HEAD
=======
>>>>>>> stgsharp-dev/giga
DECLARE_PNL_PROC_ANS(float, sse, clear);
DECLARE_PNL_PROC_ANS(float, avx, clear);
DECLARE_PNL_PROC_ANS(float, 512, clear);
@@ -238,10 +247,13 @@ DECLARE_PNL_PROC_LEFT_RIGHT_ANS(float, sse, fma);
DECLARE_PNL_PROC_LEFT_RIGHT_ANS(float, avx, fma);
DECLARE_PNL_PROC_LEFT_RIGHT_ANS(float, avx_fma, fma);
DECLARE_PNL_PROC_LEFT_RIGHT_ANS(float, 512, fma);
<<<<<<< HEAD
=======
DECLARE_PNL_PROC_LEFT_RIGHT_ANS(float, sse, fma);
DECLARE_PNL_PROC_LEFT_RIGHT_ANS(float, avx, fma);
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
>>>>>>> stgsharp-dev/giga
#pragma endregion
@@ -283,10 +295,14 @@ typedef struct sn_intrinsic {
BUF_PROC_LRA f32_buffer_sub;
KER_PROC_RA f32_buffer_transpose;
PANEL_PROC f32_build_panel;
<<<<<<< HEAD
<<<<<<< HEAD
PANEL_PROC f32_clear_panel;
=======
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
PANEL_PROC f32_clear_panel;
>>>>>>> stgsharp-dev/giga
VECTORNORMALIZEPROC f32_normalize_3;
PNL_PROC_LRA f32_panel_fma;
PANEL_PROC f32_store_panel;
+12 -2
View File
@@ -110,14 +110,15 @@ extern __declspec(align(64)) sn_zero_kernel_u64 SN_ZERO_KERNEL;
MAT_KERNEL(element) const *const matrix, int col_length, int row_length, \
int col_index, int row_index)
#define DECLARE_STORE_PANEL(arch, element) \
INTERNAL void SN_DECL STORE_PANEL(arch, element)(MAT_KERNEL(element) *restrict matrix, \
MAT_PANEL_##arch(element) \
INTERNAL void SN_DECL STORE_PANEL(arch, element)(MAT_PANEL_##arch(element) \
const *const panel, \
MAT_KERNEL(element) *restrict matrix, \
int col_length, int row_length, \
int col_index, int row_index)
/* Declarations for AVX float variant */
<<<<<<< HEAD
<<<<<<< HEAD
DECLARE_BUILD_PANEL(sse, float);
DECLARE_BUILD_PANEL(avx, float);
DECLARE_BUILD_PANEL(512, float);
@@ -125,8 +126,17 @@ DECLARE_STORE_PANEL(sse, float);
DECLARE_STORE_PANEL(avx, float);
DECLARE_STORE_PANEL(512, float);
=======
=======
DECLARE_BUILD_PANEL(sse, float);
>>>>>>> stgsharp-dev/giga
DECLARE_BUILD_PANEL(avx, float);
DECLARE_BUILD_PANEL(512, float);
DECLARE_STORE_PANEL(sse, float);
DECLARE_STORE_PANEL(avx, float);
<<<<<<< HEAD
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
DECLARE_STORE_PANEL(512, float);
>>>>>>> stgsharp-dev/giga
#endif /* SN_MATKERNEL */
+1 -1
View File
@@ -1,4 +1,4 @@
#include "StgSharpNative.h"
#include "StgSharpNative.h"
#include "sn_matkernel.h"
#include <stdint.h>
+17
View File
@@ -1,6 +1,9 @@
#include "sn_intrinsic.h"
<<<<<<< HEAD
<<<<<<< HEAD
=======
>>>>>>> stgsharp-dev/giga
DECLARE_PNL_PROC_ANS(float, sse, clear)
{
register __m128 zero = _mm_setzero_ps();
@@ -13,15 +16,22 @@ DECLARE_PNL_PROC_ANS(float, sse, clear)
DECLARE_PNL_PROC_ANS(float, avx, clear)
{
register __m256 zero = _mm256_setzero_ps();
<<<<<<< HEAD
PANEL_COL_VEC((*ans), 0, 0) = zero;
PANEL_COL_VEC((*ans), 1, 0) = zero;
PANEL_COL_VEC((*ans), 2, 0) = zero;
PANEL_COL_VEC((*ans), 3, 0) = zero;
=======
for (size_t i = 0; i < 8; i++) {
PANEL_COL_VEC((*ans), i, 0) = zero;
}
>>>>>>> stgsharp-dev/giga
}
DECLARE_PNL_PROC_ANS(float, 512, clear)
{
register __m512 zero = _mm512_setzero_ps();
<<<<<<< HEAD
PANEL_COL_VEC((*ans), 0, 0) = zero;
PANEL_COL_VEC((*ans), 1, 0) = zero;
PANEL_COL_VEC((*ans), 2, 0) = zero;
@@ -30,6 +40,13 @@ DECLARE_PNL_PROC_ANS(float, 512, clear)
=======
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
for (size_t i = 0; i < 16; i++) {
PANEL_COL_VEC((*ans), i, 0) = zero;
}
}
>>>>>>> stgsharp-dev/giga
// Matrix transpose implementations
DECLARE_KER_PROC_RIGHT_ANS(float, sse, transpose)
{
+6
View File
@@ -55,6 +55,9 @@ DECLARE_PNL_PROC_LEFT_RIGHT_ANS(float, sse, fma)
// ans = left * right + ans
// right is not transposed
<<<<<<< HEAD
<<<<<<< HEAD
=======
>>>>>>> stgsharp-dev/giga
DECLARE_PNL_PROC_LEFT_RIGHT_ANS(float, avx_fma, fma)
{
static const __m256i idx0 = { 1, 1, 1, 1, 1, 1, 1, 1 };
@@ -98,8 +101,11 @@ DECLARE_PNL_PROC_LEFT_RIGHT_ANS(float, avx_fma, fma)
// ans = left * right + ans
// right is not transposed
<<<<<<< HEAD
=======
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
>>>>>>> stgsharp-dev/giga
DECLARE_PNL_PROC_LEFT_RIGHT_ANS(float, avx, fma)
{
static const __m256i idx0 = { 1, 1, 1, 1, 1, 1, 1, 1 };
+54 -8
View File
@@ -8,16 +8,16 @@ DECLARE_BUILD_PANEL(avx, float)
const int has_right = (col_index + 1) < col_length;
const int has_bottom = (row_index + 1) < row_length;
const MAT_KERNEL(float) *const k_lt = matrix + (col_index * row_length + row_index);
const MAT_KERNEL(float) *const k_lt = matrix + (row_index * col_length + col_index);
const MAT_KERNEL(float) *const k_rt =
has_right ? (matrix + ((col_index + 1) * row_length + row_index)) :
has_right ? (matrix + (row_index * col_length + (col_index + 1))) :
(const MAT_KERNEL(float) *)&SN_ZERO_KERNEL;
const MAT_KERNEL(float) *const k_lb =
has_bottom ? (matrix + (col_index * row_length + (row_index + 1))) :
has_bottom ? (matrix + ((row_index + 1) * col_length + col_index)) :
(const MAT_KERNEL(float) *)&SN_ZERO_KERNEL;
const MAT_KERNEL(float) *const k_rb =
(has_right && has_bottom) ?
(matrix + ((col_index + 1) * row_length + (row_index + 1))) :
(matrix + ((row_index + 1) * col_length + (col_index + 1))) :
(const MAT_KERNEL(float) *)&SN_ZERO_KERNEL;
register __m128 top128, bot128;
@@ -41,11 +41,18 @@ DECLARE_BUILD_PANEL(avx, float)
}
}
<<<<<<< HEAD
<<<<<<< HEAD
DECLARE_BUILD_PANEL(sse, float)
{
/* Single kernel -> 4 columns, each is one __m128 column vector. */
const MAT_KERNEL(float) *src = matrix + (col_index * row_length + row_index);
=======
DECLARE_BUILD_PANEL(sse, float)
{
/* Single kernel -> 4 columns, each is one __m128 column vector. */
const MAT_KERNEL(float) *src = matrix + (row_index * col_length + col_index);
>>>>>>> stgsharp-dev/giga
for (int pc = 0; pc < 4; ++pc) {
PANEL_COL_VEC((*panel), pc, 0) = src->xmm[pc];
@@ -55,22 +62,35 @@ DECLARE_BUILD_PANEL(sse, float)
DECLARE_BUILD_PANEL(512, float)
{
const MAT_KERNEL(float) *const zero = (const MAT_KERNEL(float) *)&SN_ZERO_KERNEL;
<<<<<<< HEAD
const MAT_KERNEL(float) *k[4][4];
=======
const MAT_KERNEL(float) * k[4][4];
>>>>>>> stgsharp-dev/giga
for (int kc = 0; kc < 4; ++kc) {
for (int kr = 0; kr < 4; ++kr) {
const int col = col_index + kc;
const int row = row_index + kr;
k[kc][kr] = (col < col_length && row < row_length) ?
<<<<<<< HEAD
(matrix + (col * row_length + row)) :
=======
(matrix + (row * col_length + col)) :
>>>>>>> stgsharp-dev/giga
zero;
}
}
/* Each panel column corresponds to a kernel column (0..3) within a block col (0..3). */
for (int pc = 0; pc < 16; ++pc) {
<<<<<<< HEAD
const int blk_col = pc >> 2; /* which kernel column block (0..3) */
const int kc_col = pc & 3; /* column inside a 4x4 kernel */
=======
const int blk_col = pc >> 2; /* which kernel column block (0..3) */
const int kc_col = pc & 3; /* column inside a 4x4 kernel */
>>>>>>> stgsharp-dev/giga
const __m128 r0 = k[blk_col][0]->xmm[kc_col];
const __m128 r1 = k[blk_col][1]->xmm[kc_col];
@@ -87,8 +107,11 @@ DECLARE_BUILD_PANEL(512, float)
}
}
<<<<<<< HEAD
=======
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
>>>>>>> stgsharp-dev/giga
DECLARE_STORE_PANEL(avx, float)
{
const int Q = 8; /* fixed for AVX float panel */
@@ -100,19 +123,19 @@ DECLARE_STORE_PANEL(avx, float)
const int has_bottom = (row_index + 1) < row_length;
MAT_KERNEL(float) *const k_lt = (col_index < col_length && row_index < row_length) ?
(matrix + (col_index * row_length + row_index)) :
(matrix + (row_index * col_length + col_index)) :
&zero;
MAT_KERNEL(float) *const k_rt =
has_right && (row_index < row_length) ?
(matrix + ((col_index + 1) * row_length + row_index)) :
(matrix + (row_index * col_length + (col_index + 1))) :
&zero;
MAT_KERNEL(float) *const k_lb =
has_bottom && (col_index < col_length) ?
(matrix + (col_index * row_length + (row_index + 1))) :
(matrix + ((row_index + 1) * col_length + col_index)) :
&zero;
MAT_KERNEL(float) *const k_rb =
(has_right && has_bottom) ?
(matrix + ((col_index + 1) * row_length + (row_index + 1))) :
(matrix + ((row_index + 1) * col_length + (col_index + 1))) :
&zero;
register __m128 top128, bot128;
@@ -145,10 +168,17 @@ DECLARE_STORE_PANEL(avx, float)
}
}
<<<<<<< HEAD
<<<<<<< HEAD
DECLARE_STORE_PANEL(sse, float)
{
MAT_KERNEL(float) *dst = matrix + (col_index * row_length + row_index);
=======
DECLARE_STORE_PANEL(sse, float)
{
MAT_KERNEL(float) *dst = matrix + (row_index * col_length + col_index);
>>>>>>> stgsharp-dev/giga
for (int pc = 0; pc < 4; ++pc) {
const __m128 col = PANEL_COL_VEC((*panel), pc, 0);
@@ -159,21 +189,34 @@ DECLARE_STORE_PANEL(sse, float)
DECLARE_STORE_PANEL(512, float)
{
MAT_KERNEL(float) zero;
<<<<<<< HEAD
MAT_KERNEL(float) *k[4][4];
=======
MAT_KERNEL(float) * k[4][4];
>>>>>>> stgsharp-dev/giga
for (int kc = 0; kc < 4; ++kc) {
for (int kr = 0; kr < 4; ++kr) {
const int col = col_index + kc;
const int row = row_index + kr;
k[kc][kr] = (col < col_length && row < row_length) ?
<<<<<<< HEAD
(matrix + (col * row_length + row)) :
=======
(matrix + (row * col_length + col)) :
>>>>>>> stgsharp-dev/giga
&zero;
}
}
for (int pc = 0; pc < 16; ++pc) {
<<<<<<< HEAD
const int blk_col = pc >> 2; /* which kernel column block (0..3) */
const int kc_col = pc & 3; /* column inside a 4x4 kernel */
=======
const int blk_col = pc >> 2; /* which kernel column block (0..3) */
const int kc_col = pc & 3; /* column inside a 4x4 kernel */
>>>>>>> stgsharp-dev/giga
const __m512 col = PANEL_COL_VEC((*panel), pc, 0);
@@ -191,5 +234,8 @@ DECLARE_STORE_PANEL(512, float)
k[blk_col][3]->xmm[kc_col] = r3;
}
}
<<<<<<< HEAD
=======
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
>>>>>>> stgsharp-dev/giga
+116 -116
View File
@@ -4,120 +4,120 @@
SN_API void SN_DECL load_glfw_functions(GLFWFunctionTable *table)
{
table->glfwCreateCursor = glfwCreateCursor;
table->glfwCreateStandardCursor = glfwCreateStandardCursor;
table->glfwCreateWindow = glfwCreateWindow;
table->glfwDefaultWindowHints = glfwDefaultWindowHints;
table->glfwDestroyCursor = glfwDestroyCursor;
table->glfwDestroyWindow = glfwDestroyWindow;
table->glfwExtensionSupported = glfwExtensionSupported;
table->glfwFocusWindow = glfwFocusWindow;
table->glfwGetClipboardString = glfwGetClipboardString;
table->glfwGetCurrentContext = glfwGetCurrentContext;
table->glfwGetCursorPos = glfwGetCursorPos;
table->glfwGetError = glfwGetError;
table->glfwGetFrameBufferSize = glfwGetFramebufferSize;
table->glfwGetGamepadName = glfwGetGamepadName;
table->glfwGetGamepadState = glfwGetGamepadState;
table->glfwGetGammaRamp = glfwGetGammaRamp;
table->glfwGetInputMode = glfwGetInputMode;
table->glfwGetJoystickAxes = glfwGetJoystickAxes;
table->glfwGetJoystickButtons = glfwGetJoystickButtons;
table->glfwGetJoystickGUID = glfwGetJoystickGUID;
table->glfwGetJoystickHats = glfwGetJoystickHats;
table->glfwGetJoystickName = glfwGetJoystickName;
table->glfwGetJoystickUserPointer = glfwGetJoystickUserPointer;
table->glfwGetKey = glfwGetKey;
table->glfwGetKeyName = glfwGetKeyName;
table->glfwGetKeyScancode = glfwGetKeyScancode;
table->glfwGetMonitorContentScale = glfwGetMonitorContentScale;
table->glfwGetMonitorName = glfwGetMonitorName;
table->glfwGetMonitorPhysicalSize = glfwGetMonitorPhysicalSize;
table->glfwGetMonitorPos = glfwGetMonitorPos;
table->glfwGetMonitors = glfwGetMonitors;
table->glfwGetMonitorUserPointer = glfwGetMonitorUserPointer;
table->glfwGetMonitorWorkarea = glfwGetMonitorWorkarea;
table->glfwGetMouseButton = glfwGetMouseButton;
table->glfwGetPrimaryMonitor = glfwGetPrimaryMonitor;
table->glfwGetProcAddress = glfwGetProcAddress;
table->glfwGetRequiredInstanceExtensions = glfwGetRequiredInstanceExtensions;
table->glfwGetTime = glfwGetTime;
table->glfwGetTimerFrequency = glfwGetTimerFrequency;
table->glfwGetTimerValue = glfwGetTimerValue;
table->glfwGetVersion = glfwGetVersion;
table->glfwGetVersionString = glfwGetVersionString;
table->glfwGetVideoMode = glfwGetVideoMode;
table->glfwGetVideoModes = glfwGetVideoModes;
table->glfwGetWindowAttrib = glfwGetWindowAttrib;
table->glfwGetWindowContentScale = glfwGetWindowContentScale;
table->glfwGetWindowFrameSize = glfwGetWindowFrameSize;
table->glfwGetWindowMonitor = glfwGetWindowMonitor;
table->glfwGetWindowOpacity = glfwGetWindowOpacity;
table->glfwGetWindowPos = glfwGetWindowPos;
table->glfwGetWindowSize = glfwGetWindowSize;
table->glfwGetWindowUserPointer = glfwGetWindowUserPointer;
table->glfwHideWindow = glfwHideWindow;
table->glfwIconifyWindow = glfwIconifyWindow;
table->glfwInit = glfwInit;
table->glfwInitHint = glfwInitHint;
table->glfwJoystickIsGamePad = glfwJoystickIsGamepad;
table->glfwJoystickPresent = glfwJoystickPresent;
table->glfwMakeContextCurrent = glfwMakeContextCurrent;
table->glfwMaximizeWindow = glfwMaximizeWindow;
table->glfwPollEvents = glfwPollEvents;
table->glfwPostEmptyEvent = glfwPostEmptyEvent;
table->glfwRawMouseMotionSupported = glfwRawMouseMotionSupported;
table->glfwRequestWindowAttention = glfwRequestWindowAttention;
table->glfwRestoreWindow = glfwRestoreWindow;
table->glfwSetCharCallback = glfwSetCharCallback;
table->glfwSetCharModsCallback = glfwSetCharModsCallback;
table->glfwSetClipboardString = glfwSetClipboardString;
table->glfwSetCursor = glfwSetCursor;
table->glfwSetCursorEnterCallback = glfwSetCursorEnterCallback;
table->glfwSetCursorPos = glfwSetCursorPos;
table->glfwSetCursorPosCallback = glfwSetCursorPosCallback;
table->glfwSetDropCallback = glfwSetDropCallback;
table->glfwSetErrorCallback = glfwSetErrorCallback;
table->glfwSetFramebufferSizeCallback = glfwSetFramebufferSizeCallback;
table->glfwSetGamma = glfwSetGamma;
table->glfwSetGammaRamp = glfwSetGammaRamp;
table->glfwSetInputMode = glfwSetInputMode;
table->glfwSetJoystickCallback = glfwSetJoystickCallback;
table->glfwSetJoystickUserPointer = glfwSetJoystickUserPointer;
table->glfwSetKeyCallback = glfwSetKeyCallback;
table->glfwSetMonitorCallback = glfwSetMonitorCallback;
table->glfwSetMonitorUserPointer = glfwSetMonitorUserPointer;
table->glfwSetMouseButtonCallback = glfwSetMouseButtonCallback;
table->glfwSetScrollCallback = glfwSetScrollCallback;
table->glfwSetTime = glfwSetTime;
table->glfwSetWindowAspectRatio = glfwSetWindowAspectRatio;
table->glfwSetWindowAttrib = glfwSetWindowAttrib;
table->glfwSetWindowCloseCallback = glfwSetWindowCloseCallback;
table->glfwSetWindowContentScaleCallback = glfwSetWindowContentScaleCallback;
table->glfwSetWindowFocusCallback = glfwSetWindowFocusCallback;
table->glfwSetWindowIcon = glfwSetWindowIcon;
table->glfwSetWindowIconifyCallback = glfwSetWindowIconifyCallback;
table->glfwSetWindowMaximizeCallback = glfwSetWindowMaximizeCallback;
table->glfwSetWindowMonitor = glfwSetWindowMonitor;
table->glfwSetWindowOpacity = glfwSetWindowOpacity;
table->glfwSetWindowPos = glfwSetWindowPos;
table->glfwSetWindowPosCallback = glfwSetWindowPosCallback;
table->glfwSetWindowRefreshCallback = glfwSetWindowRefreshCallback;
table->glfwSetWindowShouldClose = glfwSetWindowShouldClose;
table->glfwSetWindowSize = glfwSetWindowSize;
table->glfwSetWindowSizeCallback = glfwSetWindowSizeCallback;
table->glfwSetWindowSizeLimits = glfwSetWindowSizeLimits;
table->glfwSetWindowTitle = glfwSetWindowTitle;
table->glfwSetWindowUserPointer = glfwSetWindowUserPointer;
table->glfwShowWindow = glfwShowWindow;
table->glfwSwapBuffers = glfwSwapBuffers;
table->glfwSwapInterval = glfwSwapInterval;
table->glfwTerminate = glfwTerminate;
table->glfwUpdateGamePadMappings = glfwUpdateGamepadMappings;
table->glfwVulkanSupported = glfwVulkanSupported;
table->glfwWaitEvents = glfwWaitEvents;
table->glfwWaitEventsTimeout = glfwWaitEventsTimeout;
table->glfwWindowHint = glfwWindowHint;
table->glfwWindowHintString = glfwWindowHintString;
table->glfwWindowShouldClose = glfwWindowShouldClose;
table->glfwCreateCursor = glfwCreateCursor;
table->glfwCreateStandardCursor = glfwCreateStandardCursor;
table->glfwCreateWindow = glfwCreateWindow;
table->glfwDefaultWindowHints = glfwDefaultWindowHints;
table->glfwDestroyCursor = glfwDestroyCursor;
table->glfwDestroyWindow = glfwDestroyWindow;
table->glfwExtensionSupported = glfwExtensionSupported;
table->glfwFocusWindow = glfwFocusWindow;
table->glfwGetClipboardString = glfwGetClipboardString;
table->glfwGetCurrentContext = glfwGetCurrentContext;
table->glfwGetCursorPos = glfwGetCursorPos;
table->glfwGetError = glfwGetError;
table->glfwGetFrameBufferSize = glfwGetFramebufferSize;
table->glfwGetGamepadName = glfwGetGamepadName;
table->glfwGetGamepadState = glfwGetGamepadState;
table->glfwGetGammaRamp = glfwGetGammaRamp;
table->glfwGetInputMode = glfwGetInputMode;
table->glfwGetJoystickAxes = glfwGetJoystickAxes;
table->glfwGetJoystickButtons = glfwGetJoystickButtons;
table->glfwGetJoystickGUID = glfwGetJoystickGUID;
table->glfwGetJoystickHats = glfwGetJoystickHats;
table->glfwGetJoystickName = glfwGetJoystickName;
table->glfwGetJoystickUserPointer = glfwGetJoystickUserPointer;
table->glfwGetKey = glfwGetKey;
table->glfwGetKeyName = glfwGetKeyName;
table->glfwGetKeyScancode = glfwGetKeyScancode;
table->glfwGetMonitorContentScale = glfwGetMonitorContentScale;
table->glfwGetMonitorName = glfwGetMonitorName;
table->glfwGetMonitorPhysicalSize = glfwGetMonitorPhysicalSize;
table->glfwGetMonitorPos = glfwGetMonitorPos;
table->glfwGetMonitors = glfwGetMonitors;
table->glfwGetMonitorUserPointer = glfwGetMonitorUserPointer;
table->glfwGetMonitorWorkarea = glfwGetMonitorWorkarea;
table->glfwGetMouseButton = glfwGetMouseButton;
table->glfwGetPrimaryMonitor = glfwGetPrimaryMonitor;
table->glfwGetProcAddress = glfwGetProcAddress;
table->glfwGetRequiredInstanceExtensions = glfwGetRequiredInstanceExtensions;
table->glfwGetTime = glfwGetTime;
table->glfwGetTimerFrequency = glfwGetTimerFrequency;
table->glfwGetTimerValue = glfwGetTimerValue;
table->glfwGetVersion = glfwGetVersion;
table->glfwGetVersionString = glfwGetVersionString;
table->glfwGetVideoMode = glfwGetVideoMode;
table->glfwGetVideoModes = glfwGetVideoModes;
table->glfwGetWindowAttrib = glfwGetWindowAttrib;
table->glfwGetWindowContentScale = glfwGetWindowContentScale;
table->glfwGetWindowFrameSize = glfwGetWindowFrameSize;
table->glfwGetWindowMonitor = glfwGetWindowMonitor;
table->glfwGetWindowOpacity = glfwGetWindowOpacity;
table->glfwGetWindowPos = glfwGetWindowPos;
table->glfwGetWindowSize = glfwGetWindowSize;
table->glfwGetWindowUserPointer = glfwGetWindowUserPointer;
table->glfwHideWindow = glfwHideWindow;
table->glfwIconifyWindow = glfwIconifyWindow;
table->glfwInit = glfwInit;
table->glfwInitHint = glfwInitHint;
table->glfwJoystickIsGamePad = glfwJoystickIsGamepad;
table->glfwJoystickPresent = glfwJoystickPresent;
table->glfwMakeContextCurrent = glfwMakeContextCurrent;
table->glfwMaximizeWindow = glfwMaximizeWindow;
table->glfwPollEvents = glfwPollEvents;
table->glfwPostEmptyEvent = glfwPostEmptyEvent;
table->glfwRawMouseMotionSupported = glfwRawMouseMotionSupported;
table->glfwRequestWindowAttention = glfwRequestWindowAttention;
table->glfwRestoreWindow = glfwRestoreWindow;
table->glfwSetCharCallback = glfwSetCharCallback;
table->glfwSetCharModsCallback = glfwSetCharModsCallback;
table->glfwSetClipboardString = glfwSetClipboardString;
table->glfwSetCursor = glfwSetCursor;
table->glfwSetCursorEnterCallback = glfwSetCursorEnterCallback;
table->glfwSetCursorPos = glfwSetCursorPos;
table->glfwSetCursorPosCallback = glfwSetCursorPosCallback;
table->glfwSetDropCallback = glfwSetDropCallback;
table->glfwSetErrorCallback = glfwSetErrorCallback;
table->glfwSetFramebufferSizeCallback = glfwSetFramebufferSizeCallback;
table->glfwSetGamma = glfwSetGamma;
table->glfwSetGammaRamp = glfwSetGammaRamp;
table->glfwSetInputMode = glfwSetInputMode;
table->glfwSetJoystickCallback = glfwSetJoystickCallback;
table->glfwSetJoystickUserPointer = glfwSetJoystickUserPointer;
table->glfwSetKeyCallback = glfwSetKeyCallback;
table->glfwSetMonitorCallback = glfwSetMonitorCallback;
table->glfwSetMonitorUserPointer = glfwSetMonitorUserPointer;
table->glfwSetMouseButtonCallback = glfwSetMouseButtonCallback;
table->glfwSetScrollCallback = glfwSetScrollCallback;
table->glfwSetTime = glfwSetTime;
table->glfwSetWindowAspectRatio = glfwSetWindowAspectRatio;
table->glfwSetWindowAttrib = glfwSetWindowAttrib;
table->glfwSetWindowCloseCallback = glfwSetWindowCloseCallback;
table->glfwSetWindowContentScaleCallback = glfwSetWindowContentScaleCallback;
table->glfwSetWindowFocusCallback = glfwSetWindowFocusCallback;
table->glfwSetWindowIcon = glfwSetWindowIcon;
table->glfwSetWindowIconifyCallback = glfwSetWindowIconifyCallback;
table->glfwSetWindowMaximizeCallback = glfwSetWindowMaximizeCallback;
table->glfwSetWindowMonitor = glfwSetWindowMonitor;
table->glfwSetWindowOpacity = glfwSetWindowOpacity;
table->glfwSetWindowPos = glfwSetWindowPos;
table->glfwSetWindowPosCallback = glfwSetWindowPosCallback;
table->glfwSetWindowRefreshCallback = glfwSetWindowRefreshCallback;
table->glfwSetWindowShouldClose = glfwSetWindowShouldClose;
table->glfwSetWindowSize = glfwSetWindowSize;
table->glfwSetWindowSizeCallback = glfwSetWindowSizeCallback;
table->glfwSetWindowSizeLimits = glfwSetWindowSizeLimits;
table->glfwSetWindowTitle = glfwSetWindowTitle;
table->glfwSetWindowUserPointer = glfwSetWindowUserPointer;
table->glfwShowWindow = glfwShowWindow;
table->glfwSwapBuffers = glfwSwapBuffers;
table->glfwSwapInterval = glfwSwapInterval;
table->glfwTerminate = glfwTerminate;
table->glfwUpdateGamePadMappings = glfwUpdateGamepadMappings;
table->glfwVulkanSupported = glfwVulkanSupported;
table->glfwWaitEvents = glfwWaitEvents;
table->glfwWaitEventsTimeout = glfwWaitEventsTimeout;
table->glfwWindowHint = glfwWindowHint;
table->glfwWindowHintString = glfwWindowHintString;
table->glfwWindowShouldClose = glfwWindowShouldClose;
}
+24
View File
@@ -65,6 +65,7 @@ void load_intrinsic_sse(sn_intrinsic *context)
context->city_hash_simplify = city_hash_simplify_sse;
context->factorial_simd = factorial_simd_sse;
context->index_pair = index_pair_sse;
<<<<<<< HEAD
<<<<<<< HEAD
context->f32_clear_panel = PNL_PROC(float, sse, clear);
context->f32_build_panel = BUILD_PANEL(sse, float);
@@ -74,6 +75,13 @@ void load_intrinsic_sse(sn_intrinsic *context)
context->f32_buffer_add = BUF_PROC(float, sse, add);
context->f32_panel_fma = KER_PROC(float, sse, fma);
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
context->f32_store_panel = STORE_PANEL(sse, float);
context->f32_clear_panel = PNL_PROC(float, sse, clear);
context->f32_build_panel = BUILD_PANEL(sse, float);
context->f32_buffer_add = BUF_PROC(float, sse, add);
context->f32_panel_fma = PNL_PROC(float, sse, fma);
>>>>>>> stgsharp-dev/giga
context->f32_buffer_fill = BUF_PROC(float, sse, fill);
context->variant = BUF_PROC(float, sse, scalar_mul);
context->f32_buffer_sub = BUF_PROC(float, sse, sub);
@@ -87,6 +95,7 @@ void load_intrinsic_avx(sn_intrinsic *context)
context->city_hash_simplify = city_hash_simplify_sse;
context->factorial_simd = factorial_simd_sse;
context->index_pair = index_pair_sse;
<<<<<<< HEAD
<<<<<<< HEAD
context->f32_clear_panel = PNL_PROC(float, avx, clear);
context->f32_build_panel = BUILD_PANEL(avx, float);
@@ -96,6 +105,13 @@ void load_intrinsic_avx(sn_intrinsic *context)
context->f32_buffer_add = BUF_PROC(float, avx, add);
context->f32_panel_fma = KER_PROC(float, sse, fma);
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
context->f32_store_panel = STORE_PANEL(avx, float);
context->f32_clear_panel = PNL_PROC(float, avx, clear);
context->f32_build_panel = BUILD_PANEL(avx, float);
context->f32_buffer_add = BUF_PROC(float, avx, add);
context->f32_panel_fma = PNL_PROC(float, avx, fma);
>>>>>>> stgsharp-dev/giga
context->f32_buffer_fill = BUF_PROC(float, avx, fill);
context->variant = BUF_PROC(float, avx, scalar_mul);
context->f32_buffer_sub = BUF_PROC(float, avx, sub);
@@ -109,6 +125,7 @@ void load_intrinsic_512(sn_intrinsic *context)
context->city_hash_simplify = city_hash_simplify_sse;
context->factorial_simd = factorial_simd_sse;
context->index_pair = index_pair_sse;
<<<<<<< HEAD
<<<<<<< HEAD
context->f32_clear_panel = PNL_PROC(float, sse, clear);
context->f32_build_panel = BUILD_PANEL(512, float);
@@ -118,6 +135,13 @@ void load_intrinsic_512(sn_intrinsic *context)
context->f32_buffer_add = BUF_PROC(float, 512, add);
context->f32_panel_fma = KER_PROC(float, sse, fma);
>>>>>>> 7bcb460a3994dda40f24cae0044b5a36f4f16515
=======
context->f32_store_panel = STORE_PANEL(512, float);
context->f32_clear_panel = PNL_PROC(float, 512, clear);
context->f32_build_panel = BUILD_PANEL(512, float);
context->f32_buffer_add = BUF_PROC(float, 512, add);
context->f32_panel_fma = PNL_PROC(float, 512, fma);
>>>>>>> stgsharp-dev/giga
context->f32_buffer_fill = BUF_PROC(float, 512, fill);
context->variant = BUF_PROC(float, 512, scalar_mul);
context->f32_buffer_sub = BUF_PROC(float, 512, sub);
+3 -3
View File
@@ -15,7 +15,7 @@ INTERNAL int SN_DECL city_hash_simplify_sse(byte const *str, int const length)
for (; ptr < end; ptr += 4) {
hash = _mm_crc32_u32(hash, *(uint32_t *)ptr);
}
for (; ptr < end; ptr++) {
for (; ptr < end; ptr++) {
hash = _mm_crc32_u16(hash, *ptr);
}
} else {
@@ -30,10 +30,10 @@ INTERNAL int SN_DECL city_hash_simplify_sse(byte const *str, int const length)
hash = _mm_crc32_u8(hash, hash64);
hash = _mm_crc32_u8(hash, hash64 >> 32);
for (; ptr < last_32; ptr += 4) {
hash = _mm_crc32_u32(hash,*(uint32_t *)ptr);
hash = _mm_crc32_u32(hash, *(uint32_t *)ptr);
}
for (; ptr < end; ptr += 2) {
hash = _mm_crc32_u8(hash,*ptr);
hash = _mm_crc32_u8(hash, *ptr);
}
}
hash ^= hash >> 16;
+10 -10
View File
@@ -15,7 +15,8 @@ INTERNAL void FORCEINLINE SN_DECL dot_41_sse(MAT_KERNEL(float) const *transpose,
SSE_INSERT_SIMPLE(1, 4));
}
INTERNAL void SN_DECL dot_41_avx(MAT_KERNEL(float) const *transpose, __m128 const *vector, __m128 *ans)
INTERNAL void SN_DECL dot_41_avx(MAT_KERNEL(float) const *transpose, __m128 const *vector,
__m128 *ans)
{
__m256 _double = _mm256_set_m128(vector[0], vector[0]);
__m256 tmp = _mm256_dp_ps(transpose->ymm[0], _double, 0B11110001);
@@ -25,7 +26,8 @@ INTERNAL void SN_DECL dot_41_avx(MAT_KERNEL(float) const *transpose, __m128 cons
_mm256_permutevar8x32_ps(tmp, _mm256_loadu_epi32(avxdot_indices)));
}
INTERNAL void SN_DECL dot_42_sse(MAT_KERNEL(float) const *transpose, __m128 const *vector, __m128 *ans)
INTERNAL void SN_DECL dot_42_sse(MAT_KERNEL(float) const *transpose, __m128 const *vector,
__m128 *ans)
{
ans[0] = _mm_dp_ps(transpose->xmm[0], vector[0], 0B11110001);
ans[0] = _mm_insert_ps(*ans, _mm_dp_ps(transpose->xmm[1], vector[0], 0B11110001),
@@ -44,24 +46,22 @@ INTERNAL void SN_DECL dot_42_sse(MAT_KERNEL(float) const *transpose, __m128 cons
SSE_INSERT_SIMPLE(1, 4));
}
INTERNAL void SN_DECL dot_42_avx(MAT_KERNEL(float) const *transpose, __m128 const *vector, __m128 *ans)
INTERNAL void SN_DECL dot_42_avx(MAT_KERNEL(float) const *transpose, __m128 const *vector,
__m128 *ans)
{
__m256 temp = transpose->ymm[0];
__m256 vector_stream = _mm256_set_m128(vector[1], vector[0]);
__m256 result = _mm256_dp_ps(temp, vector_stream, 0B11110001);
temp = _mm256_permute2f128_ps(temp, temp, 0B00000001);
result = _mm256_blend_ps(
result, _mm256_dp_ps(temp, vector_stream, 0B11110010), 0B00100010);
result = _mm256_blend_ps(result, _mm256_dp_ps(temp, vector_stream, 0B11110010), 0B00100010);
temp = transpose->ymm[1];
result = _mm256_blend_ps(
result, _mm256_dp_ps(temp, vector_stream, 0B11110100), 0B01000100);
result = _mm256_blend_ps(result, _mm256_dp_ps(temp, vector_stream, 0B11110100), 0B01000100);
temp = _mm256_permute2f128_ps(temp, temp, 0B00000001);
result = _mm256_blend_ps(
result, _mm256_dp_ps(temp, vector_stream, 0B11111000), 0B10001000);
result = _mm256_blend_ps(result, _mm256_dp_ps(temp, vector_stream, 0B11111000), 0B10001000);
ans[0] = _mm256_castps256_ps128(result);
ans[1] = _mm256_extractf128_ps(result, 1);
ans[1] = _mm_shuffle_ps(ans[1], ans[1], _MM_SHUFFLE(2, 3, 0, 1));
}
}
+19 -46
View File
@@ -1,4 +1,4 @@
//-----------------------------------------------------------------------
//-----------------------------------------------------------------------
// -----------------------------------------------------------------------
// file="Program"
// Project: StgSharp
@@ -53,71 +53,44 @@ namespace StgSharp
// HlsfStressTest.Run();
/*
/**/
HybridLayerSegregatedFitAllocator hlsf;
unchecked {
hlsf = new((nuint)(64 * (ulong)10000 * 10000));
}
Matrix<float> m = Matrix.FromHlsf<float>(1000, 1000, hlsf);
Matrix<float> m = Matrix.FromHlsf<float>(400, 400, hlsf);
MatrixCompute.Fill(m, 1.0f);
Matrix<float> n = Matrix.FromHlsf<float>(400, 400, hlsf);
MatrixCompute.Fill(n, 1.0f);
Matrix<float> p = Matrix.FromHlsf<float>(400, 400, hlsf);
Console.WriteLine();
Console.WriteLine();
Console.WriteLine();
Matrix<float> n = Matrix.FromHlsf<float>(1000, 1000, hlsf);
MatrixCompute.Fill(n, 0.0f);
for (int i = 0; i < 5; i++)
// MatrixCompute.Fill(p, 0.0f);
/*
for (int i = 0; i < 10; i++)
{
for (int j = 0; j < 2; j++)
MatrixCompute.Add(n, m, n);
for (int j = 0; j < 5; j++)
{
MatrixCompute.Add(n, m, n);
// Console.WriteLine($"{i} {j}");
for (int k = 0; k < 5; k++) {
Console.Write($"{n[j, k]:0.0E+00} \t");
}
Console.WriteLine();
}
Console.WriteLine($"{i}");
GC.Collect();
}
MatrixCompute.Mul(n, 12, n);
/**/
MatrixCompute.Mul(n, m, p);
for (int i = 0; i < 20; i++)
{
for (int j = 0; j < 20; j++) {
Console.Write($"{n[i, j]:0.0E+00} \t");
Console.Write($"{p[i, j]:0.0E+00} \t");
}
Console.WriteLine();
}
/**/
// --- Logarithmic time sequence test: print seconds at each emitted span ---
// Configure a simple sequence:
// initial slice = 0.5s, total = 5s, growth multiplier = 2, min slice = 0.75s
TimeSequence seq =
/**/
TimeSequence.CreateLogarithmic(initialSliceSeconds:0.5, totalSeconds:5.0,
growthMultiplier:2.0, minSliceSeconds:0.75);
/*
TimeSequence.CreateLinear(5, 1);
/**/
// Bind to default time source provider.
TimeSpanProvider provider = new TimeSpanProvider(seq, TimeSpanProvider.DefaultProvider);
// Print the second mark when a span is emitted.
provider.TimeSpanRefreshed += (s, e) => {
// CurrentSecond is PreviousFrameTick / Frequency
Console.WriteLine($"span @ {provider.CurrentSecond:0.000}s");
};
// Start the time source and wait until sequence ends.
TimeSpanProvider.DefaultProvider.StartProvidingTime();
while (!provider.IsEnded) {
provider.WaitNextSpan();
}
TimeSpanProvider.DefaultProvider.StopProvidingTime();
// end of log-time sequence test
}
catch (Exception ex)
{
-9
View File
@@ -1,9 +0,0 @@
public const uint GL_ACTIVE_SUBROUTINES = 0x8DE5
public const uint GL_ACTIVE_SUBROUTINE_UNIFORMS = 0x8DE6
public const uint GL_MAX_SUBROUTINES = 0x8DE7
public const uint GL_MAX_SUBROUTINE_UNIFORM_LOCATIONS = 0x8DE8
public const uint GL_ACTIVE_SUBROUTINE_UNIFORM_LOCATIONS = 0x8E47
public const uint GL_ACTIVE_SUBROUTINE_MAX_LENGTH = 0x8E48
public const uint GL_ACTIVE_SUBROUTINE_UNIFORM_MAX_LENGTH = 0x8E49
public const uint GL_NUM_COMPATIBLE_SUBROUTINES = 0x8E4A
public const uint GL_COMPATIBLE_SUBROUTINES = 0x8E4B