final solution of task public
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@@ -1,6 +1,6 @@
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//-----------------------------------------------------------------------
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// -----------------------------------------------------------------------
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// file="MatrixParallel.TaskPublic.cs"
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// file="MatrixParallel.Publish.cs"
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// Project: StgSharp
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// AuthorGroup: Nitload Space
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// Copyright (c) Nitload Space. All rights reserved.
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@@ -76,22 +76,9 @@ namespace StgSharp.Mathematics
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package->ElementSize = sizeof(T);
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package->ComputeMode = 3;
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if ((c3 | c4) > 0) { } else
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{
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int
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small_4_size = c4 / LargeWrapCount,
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large_4_size = small_4_size + 1,
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small_3_size = c3 / LargeWrapCount,
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large_3_size = small_3_size + 1;
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int
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large_4_count = c4 % LargeWrapCount,
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small_4_count = LargeWrapCount - large_4_count,
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large_3_count = c3 % LargeWrapCount,
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small_3_count = LargeWrapCount - large_3_count;
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for (int i = 0; i < large_4_count; i++) { }
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// TODO maybe a task slice method is good?
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}
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int baseCount = columnCount / length,
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rem = columnCount % length;
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if (baseCount == 0) { }
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}
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}
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@@ -56,23 +56,35 @@ namespace StgSharp.Mathematics
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public static partial class MatrixParallel
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{
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// TODO
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/*
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* 目前认为应当按照如下方式进行调整:
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* 1. 使用Queue进行线程束池化
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* 2. 一次只能有一个线程进行发布活动(一次只能由一个线程持有)
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* 3. 发布任务似乎应当分类进行,分类条件为q = n_task / n_thread
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* 3.1 q=0时,不是全部任务束可以参与计算
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* 3.2 q>0时,全部任务束可以参与计算
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* 4. 后续分为a个q线程,b个q+1线程,然后分到线程束中,同时不保证束内任务同步
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* 5. 仅可能保证线程间任务数量差异不超过512
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*/
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private static Thread[] _threads;
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private static readonly (int a, int b)[] LookupTable = [
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(1, 1),
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(0, 2),
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(3, 0),
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(2, 1),
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(1, 2),
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(0, 3),
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(3, 1),
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(2, 2),
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(1, 3),
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(0, 4),
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(3, 2),
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(2, 3),
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(1, 4),
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(0, 5),
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];
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private static readonly (int a, int b)[] LookupTable = [ (1, 1), // n=7
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(0, 2), // n=8
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(3, 0), // n=9
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(2, 1), // n=10
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(1, 2), // n=11
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(0, 3), // n=12
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(3, 1), // n=13
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(2, 2), // n=14
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(1, 3), // n=15
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(4, 1), // n=16
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(3, 2), // n=17
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(2, 3), // n=18
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(1, 4), // n=19
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(4, 2), // n=20
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];
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private static bool _meaningful;
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private static volatile int RemainThreadCount = 0;
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@@ -139,17 +151,14 @@ namespace StgSharp.Mathematics
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}
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} else if (count == 6)
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{
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SmallWraps = [
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new MatrixParallelWrap(0, 3, true),
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new MatrixParallelWrap(3, 3, false)
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];
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SmallWraps = [ new MatrixParallelWrap(0, 3, true), new MatrixParallelWrap(3, 3, false) ];
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LargeWraps = [];
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(LargeWrapCount, SmallWrapCount) = (0, 2);
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} else
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{
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(int _3wrap, int _4wrap) = FastDecompose(count);
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LargeWraps = new MatrixParallelWrap[ _4wrap];
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SmallWraps = new MatrixParallelWrap[ _3wrap];
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LargeWraps = new MatrixParallelWrap[_4wrap];
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SmallWraps = new MatrixParallelWrap[_3wrap];
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int id = 0;
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for (int idx = 0; idx < _3wrap; idx++, id += 3) {
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SmallWraps[idx] = new MatrixParallelWrap(idx, 3, id == 0);
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@@ -158,7 +167,6 @@ namespace StgSharp.Mathematics
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LargeWraps[idx] = new MatrixParallelWrap(id, 4, id == 0);
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}
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}
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LeaderHandle = new MatrixParallelWrap.Handle(0, _wraps[0]);
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LeaderTask = LeaderHandle.Wrap.GetWorkerTaskQueue(0);
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IsInitialized = true;
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}
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@@ -192,7 +200,10 @@ namespace StgSharp.Mathematics
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public static void SetAllWrap()
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{
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ResetThreadCount();
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foreach (MatrixParallelWrap item in _wraps) {
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foreach (MatrixParallelWrap item in LargeWraps) {
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item.SchedulerReset.Set();
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}
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foreach (MatrixParallelWrap item in SmallWraps) {
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item.SchedulerReset.Set();
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}
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}
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