working on dynamic wrapping

This commit is contained in:
Youmu Liu
2025-11-06 18:12:04 +08:00
parent ea0e6f3ff6
commit ec1b8dbd51
9 changed files with 145 additions and 612 deletions
+4 -53
View File
@@ -34,45 +34,12 @@ using System.Threading;
namespace StgSharp.Mathematics.Numeric
{
/*
* Thread wrapping to accelerate matrix operations by dividing threads into groups (pool).
* For M pool, each containing an average of N threads, we satisfy the condition M * N = T - 4,
* where T is the total thread count of the CPU. Typically, for modern consumer CPUs, T is around 16.
* For simplicity, let M * N = 16.
*
* The total time complexity for publishing tasks is O(M + N):
* - O(M) accounts for distributing tasks across M pool.
* - O(N) accounts for threads within each wrap fetching tasks from the wrap queue.
*
* Using the inequality Sqrt(M * N) <= (M + N) / 2 (derived from the arithmetic-geometric mean inequality),
* the optimal configuration occurs when M = N. For M * N = 16, this gives M = N = 4.
*
* To ensure compatibility across a wide range of CPU architectures,
* we allow each wrap to contain either 3 or 4 threads, providing flexibility while maintaining efficiency.
*/
public static partial class MatrixParallel
{
private static readonly (int a, int b)[] LookupTable = [
(1, 1), // 7
(0, 2), // 8 (no non-zero solution)
(3, 0), // 9 (no non-zero solution)
(2, 1), // 10
(1, 2), // 11
(0, 3), // 12 (no non-zero solution)
(3, 1), // 13
(2, 2), // 14
(1, 3), // 15
(4, 1), // 16
(3, 2), // 17
(2, 3), // 18
(1, 4), // 19
(4, 2), // 20
];
private static bool _meaningful;
private static CapacityFixedStack<MatrixParallelThread> _threads;
private static ConcurrentCapacityFixedStack<MatrixParallelThread> _threads;
private static volatile int RemainThreadCount = 0;
private static readonly object _lock = new();
@@ -91,22 +58,6 @@ namespace StgSharp.Mathematics.Numeric
Monitor.Exit(_lock);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static (int count_3, int count_4) FastDecompose(int c)
{
if (c < 7) {
return (0, 0);
}
int t = c - 7;
int k = t / 14;
int d = t % 14;
(int a0, int b0) = LookupTable[d];
return (a0 + (2 * k), b0 + (2 * k));
}
public static void Init()
{
if (IsInitialized) {
@@ -144,17 +95,17 @@ namespace StgSharp.Mathematics.Numeric
#region wrap field
public static CapacityFixedStack<MatrixParallelThread> LeadParallel()
public static MatrixParallelThread[] LeadParallel(int recommendCount)
{
#if NET9_0_OR_GREATER
#else
Monitor.Enter(_lock);
#endif
return _threads;
return _threads.PopRange(recommendCount);
}
public static void ReleaseParallelLeadership(ref CapacityFixedStack<MatrixParallelThread> pool)
public static void ReleaseParallelLeadership(ref MatrixParallelThread[] pool)
{
#if NET9_0_OR_GREATER
#else