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Comparing jsr166/src/test/loops/FJJacobi.java (file contents):
Revision 1.2 by jsr166, Thu Oct 29 23:09:07 2009 UTC vs.
Revision 1.14 by dl, Sat Sep 12 18:34:50 2015 UTC

# Line 1 | Line 1
1   /*
2   * Written by Doug Lea with assistance from members of JCP JSR-166
3   * Expert Group and released to the public domain, as explained at
4 < * http://creativecommons.org/licenses/publicdomain
4 > * http://creativecommons.org/publicdomain/zero/1.0/
5   */
6  
7   // Jacobi iteration on a mesh. Based loosely on a Filaments demo
8  
9   import java.util.concurrent.*;
10 //import jsr166y.*;
10  
11   public class FJJacobi {
12  
13 <    static final int DEFAULT_GRANULARITY = 4096; // 1024;
13 >    //    static final int DEFAULT_GRANULARITY = 4096;
14 >    static final int DEFAULT_GRANULARITY = 256;
15  
16      /**
17       * The maximum number of matrix cells
18       * at which to stop recursing down and instead directly update.
19 <     **/
20 <
19 >     */
20      static final double EPSILON = 0.0001;  // convergence criterion
21  
22      public static void main(String[] args) throws Exception {
# Line 39 | Line 38 | public class FJJacobi {
38              return;
39          }
40  
41 <        ForkJoinPool fjp = new ForkJoinPool();
41 >        //        ForkJoinPool fjp = new ForkJoinPool(1);
42 >        ForkJoinPool fjp = ForkJoinPool.commonPool();
43  
44          // allocate enough space for edges
45          int dim = n+2;
# Line 47 | Line 47 | public class FJJacobi {
47          double[][] a = new double[dim][dim];
48          double[][] b = new double[dim][dim];
49          // Initialize interiors to small value
50 <        double smallVal = 1.0/dim;
50 >        double smallVal = EPSILON; // 1.0/dim;
51          for (int i = 1; i < dim-1; ++i) {
52              for (int j = 1; j < dim-1; ++j)
53                  a[i][j] = smallVal;
54          }
55 <
56 <        int nreps = 3;
55 >        // Fill all edges with 1's.
56 >        for (int k = 0; k < dim; ++k) {
57 >            a[k][0] = 1.0;
58 >            a[k][n+1] = 1.0;
59 >            a[0][k] = 1.0;
60 >            a[n+1][k] = 1.0;
61 >            b[k][0] = 1.0;
62 >            b[k][n+1] = 1.0;
63 >            b[0][k] = 1.0;
64 >            b[n+1][k] = 1.0;
65 >        }
66 >        int nreps = 10;
67          for (int rep = 0; rep < nreps; ++rep) {
58            // Fill all edges with 1's.
59            for (int k = 0; k < dim; ++k) {
60                a[k][0] += 1.0;
61                a[k][n+1] += 1.0;
62                a[0][k] += 1.0;
63                a[n+1][k] += 1.0;
64            }
68              Driver driver = new Driver(a, b, 1, n, 1, n, steps, granularity);
69  
70              long startTime = System.currentTimeMillis();
# Line 71 | Line 74 | public class FJJacobi {
74              double secs = ((double)time) / 1000.0;
75  
76              System.out.println("Compute Time: " + secs);
74            System.out.println("Workers: " + fjp.getPoolSize());
77              System.out.println(fjp);
78 +            Thread.sleep(1000);
79          }
80      }
81  
79
82      abstract static class MatrixTree extends RecursiveAction {
83          // maximum difference between old and new values
84          double maxDiff;
# Line 88 | Line 90 | public class FJJacobi {
90              if (tryUnfork())
91                  compute();
92              else {
93 <                //                quietlyJoin();
92 <                quietlyHelpJoin();
93 >                quietlyJoin();
94                  reinitialize();
95              }
96              double m = maxDiff;
97 <            return (md > m)? md : m;
97 >            return (md > m) ? md : m;
98          }
98
99      }
100  
101
101      static final class LeafNode extends MatrixTree {
102          final double[][] A; // matrix to get old values from
103          final double[][] B; // matrix to put new values into
# Line 119 | Line 118 | public class FJJacobi {
118  
119          public void compute() {
120              boolean AtoB = (steps++ & 1) == 0;
121 <            double[][] a = (AtoB)? A : B;
122 <            double[][] b = (AtoB)? B : A;
121 >            double[][] a = AtoB ? A : B;
122 >            double[][] b = AtoB ? B : A;
123  
124              double md = 0.0; // local for computing max diff
125  
# Line 162 | Line 161 | public class FJJacobi {
161          }
162      }
163  
165
164      static final class TwoNode extends MatrixTree {
165          final MatrixTree q1;
166          final MatrixTree q2;
# Line 178 | Line 176 | public class FJJacobi {
176  
177      }
178  
181
179      static final class Driver extends RecursiveAction {
180          MatrixTree mat;
181          double[][] A; double[][] B;
# Line 250 | Line 247 | public class FJJacobi {
247              System.out.println("max diff after " + steps + " steps = " + md);
248          }
249      }
253
254
250   }

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