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/* |
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* Written by Doug Lea with assistance from members of JCP JSR-166 |
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* Expert Group and released to the public domain, as explained at |
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* http://creativecommons.org/licenses/publicdomain |
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* http://creativecommons.org/publicdomain/zero/1.0/ |
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*/ |
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//import jsr166y.*; |
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import java.util.concurrent.*; |
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import java.util.concurrent.TimeUnit; |
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/** |
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* Divide and Conquer matrix multiply demo |
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**/ |
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*/ |
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public class MatrixMultiply { |
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/** for time conversion */ |
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static final int DEFAULT_GRANULARITY = 32; |
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/** The quadrant size at which to stop recursing down |
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/** |
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* The quadrant size at which to stop recursing down |
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* and instead directly multiply the matrices. |
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* Must be a power of two. Minimum value is 2. |
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**/ |
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*/ |
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static int granularity = DEFAULT_GRANULARITY; |
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public static void main(String[] args) throws Exception { |
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return; |
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} |
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ForkJoinPool pool = procs == 0? new ForkJoinPool() : |
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ForkJoinPool pool = (procs == 0) ? new ForkJoinPool() : |
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new ForkJoinPool(procs); |
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System.out.println("procs: " + pool.getParallelism() + |
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" n: " + n + " granularity: " + granularity + |
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* A21 | A22 B21 | B21 A21*B11 | A21*B21 A22*B21 | A22*B22 |
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* </pre> |
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*/ |
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static class Multiplier extends RecursiveAction { |
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final float[][] A; // Matrix A |
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final int aRow; // first row of current quadrant of A |
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* Note that the results are added into C, not just set into C. |
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* This works well here because Java array elements |
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* are created with all zero values. |
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**/ |
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*/ |
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void multiplyStride2() { |
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for (int j = 0; j < size; j+=2) { |
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for (int i = 0; i < size; i +=2) { |