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
@@ -36,79 +36,115 @@ using System.Threading.Tasks;
namespace StgSharp.Mathematics.Numeric
{
public class MatrixParallelPool
public struct MatrixParallelHandle : IDisposable
{
private MatrixParallelPool()
{
throw new NotSupportedException();
}
/*
internal MatrixParallelPool(int threadCount, ReadOnlySpan<MatrixParallelWrap> wrapSpan)
{
SpareWrap = CapacityFixedStackBuilder.Create(wrapSpan);
SingleThreadAllocation = new CapacityFixedBag<MatrixParallelWrap>(wrapSpan.Length);
SpareThreadCount = threadCount;
}
/**/
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
];
internal MatrixParallelPool(int threadCount, CapacityFixedStack<MatrixParallelWrap> wrapSpan)
private MatrixParallelThread[] _threads;
private bool _disposed = false;
private CapacityFixedStack<MatrixParallelWrap> _wraps;
internal MatrixParallelHandle(MatrixParallelThread[] threadArray)
{
SpareWrap = wrapSpan;
SingleThreadAllocation = new CapacityFixedBag<MatrixParallelWrap>(wrapSpan.Count);
SpareThreadCount = threadCount;
_threads = threadArray;
IsMultithread = threadArray.Length > 1;
SliceToWraps();
}
public int SpareThreadCount { get; set; }
internal CapacityFixedBag<MatrixParallelWrap> SingleThreadAllocation { get; set; }
internal CapacityFixedStack<MatrixParallelWrap> SpareWrap { get; set; }
/*
public void ReturnIndividualHandle(ref MatrixParallelWrap.Handle handle)
public ReadOnlySpan<MatrixParallelThread> Threads
{
MatrixParallelWrap wrap = handle.Wrap;
handle.Role = 0;
if (wrap.IsAllAvailable)
get
{
SingleThreadAllocation.RemoveAt(wrap.Magic);
SpareWrap.Push(wrap);
SpareThreadCount += wrap.WrapTaskCapacity;
}
}
public bool TryRentIndividualHandle(out MatrixParallelWrap.Handle handle)
{
foreach (MatrixParallelWrap item in SingleThreadAllocation)
{
if (item.TryGetLeaderHandle(out handle!)) {
return true;
if (_disposed) {
throw new ObjectDisposedException(typeof(MatrixParallelHandle).Name);
}
return _threads;
}
if (TryRequestWrap(out MatrixParallelWrap wrap))
{
wrap!.Magic = SingleThreadAllocation.Count;
SingleThreadAllocation.Add(wrap);
if (wrap.TryGetLeaderHandle(out handle!)) {
return true;
}
}
internal ReadOnlySpan<MatrixParallelThread> ThreadsUnsafe
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _threads;
}
private bool IsMultithread { get; init; }
public void Dispose()
{
if (_disposed) {
return;
}
handle = null!;
return false;
MatrixParallel.ReleaseParallelLeadership(ref _threads);
_disposed = true;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public bool TryRequestWrap([NotNull] out MatrixParallelWrap? wrap)
private static (int count_3, int count_4) FastDecompose(int c)
{
if (SpareWrap.TryPop(out wrap))
/*
* 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.
*/
if (c < 7)
{
SpareThreadCount -= wrap.WrapTaskCapacity;
return true;
return (0, 0);
}
wrap = null!;
return false;
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));
}
/**/
private void SliceToWraps()
{
if (_disposed) {
throw new ObjectDisposedException(typeof(MatrixParallelHandle).Name);
}
if (_wraps is not null) {
return;
}
int count = _threads.Length;
if (count < 6)
{
MatrixParallelWrap wrap = new MatrixParallelWrap(_threads);
_wraps = [ wrap ];
}
(int c3,int c4) = FastDecompose(_threads.Length);
_wraps = new(c3 + c4);
}
}
}