Robust/src/Benchmarks/Prefetch/MatrixMultiply/MatrixMultiply.java

   1 public class MatrixMultiply extends Thread{
   2         MMul mmul;
   3         public int x0, y0, x1, y1;
   4
   5         public MatrixMultiply(MMul mmul, int x0, int y0, int x1, int y1) {
   6                 this.mmul = mmul;
   7                 this.x0 = x0;
   8                 this.y0 = y0;
   9                 this.x1 = x1;
  10                 this.y1 = y1;
  11         }
  12
  13         public void run() {
  14                 double localresults[][];
  15
  16                 atomic {
  17                     //compute the results
  18                     localresults=new double[1+x1-x0][1+y1-y0];
  19
  20                     //Use b transpose for cache performance
  21                     for(int i = x0; i<= x1; i++){
  22                         double a[]=mmul.a[i];
  23                         int M=mmul.M;
  24                         for (int j = y0; j <= y1; j++) {
  25                             double innerProduct=0;
  26                             double b[] = mmul.btranspose[j];
  27                             for(int k = 0; k < M; k++) {
  28                                 innerProduct += a[k] *b[k];
  29                             }
  30                             localresults[i-x0][j-y0]=innerProduct;
  31                         }
  32                     }
  33                 }
  34
  35                 atomic {
  36                     //write the results
  37                     for(int i=x0;i<=x1;i++) {
  38                         double c[]=mmul.c[i];
  39                         for(int j=y0;j<=y1;j++) {
  40                             c[j]=localresults[i-x0][j-y0];
  41                         }
  42                     }
  43                 }
  44         }
  45
  46         public static void main(String[] args) {
  47                 int mid1 = (128<<24)|(195<<16)|(175<<8)|69;
  48                 int mid2 = (128<<24)|(195<<16)|(175<<8)|69;
  49                 int mid3 = (128<<24)|(195<<16)|(175<<8)|71;
  50                 int NUM_THREADS = 2;
  51                 int p, q, r;
  52                 MatrixMultiply[] mm;
  53                 MatrixMultiply tmp;
  54                 MMul matrix;
  55
  56                 atomic {
  57                         matrix = global new MMul(400, 400, 400);
  58                         matrix.setValues();
  59                         matrix.transpose();
  60                 }
  61
  62                 atomic{
  63                         mm = global new MatrixMultiply[NUM_THREADS];
  64                 }
  65
  66                 atomic {
  67                         mm[0] = global new MatrixMultiply(matrix,0,0,399,200);
  68                         mm[1] = global new MatrixMultiply(matrix,0,201,399,399);
  69                 }
  70
  71                 atomic {
  72                         p = matrix.L;
  73                         q = matrix.M;
  74                         r = matrix.N;
  75                 }
  76
  77                 // print out the matrices to be multiplied
  78                 System.printString("\n");
  79                 System.printString("MatrixMultiply: L=");
  80                 System.printInt(p);
  81                 System.printString("\t");
  82                 System.printString("M=");
  83                 System.printInt(q);
  84                 System.printString("\t");
  85                 System.printString("N=");
  86                 System.printInt(r);
  87                 System.printString("\n");
  88
  89                 // start a thread to compute each c[l,n]
  90                 for (int i = 0; i < NUM_THREADS; i++) {
  91                         atomic {
  92                                 tmp = mm[i];
  93                         }
  94                         tmp.start(mid1);
  95                 }
  96
  97                 // wait for them to finish
  98                 for (int i = 0; i < NUM_THREADS; i++) {
  99                         atomic {
 100                                 tmp = mm[i];
 101                         }
 102                         tmp.join();
 103                 }
 104
 105                 // print out the result of the matrix multiply
 106                 System.printString("Starting\n");
 107                 System.printString("Matrix Product c =\n");
 108                 double val;
 109                 atomic {
 110                         for (int i = 0; i < p; i++) {
 111                                 double c[]=matrix.c[i];
 112                                 for (int j = 0; j < r; j++) {
 113                                         val = c[j];
 114                                 }
 115                         }
 116                 }
 117                 System.printString("Finished\n");
 118         }
 119 }
 120
 121 public class MMul{
 122
 123         public int L, M, N;
 124         public double[][] a;
 125         public double[][] b;
 126         public double[][] c;
 127         public double[][] btranspose;
 128
 129         public MMul(int L, int M, int N) {
 130                 this.L = L;
 131                 this.M = M;
 132                 this.N = N;
 133                 a = global new double[L][M];
 134                 b = global new double[M][N];
 135                 c = global new double[L][N];
 136                 btranspose = global new double[N][M];
 137         }
 138
 139         public void setValues() {
 140                 for(int i = 0; i < L; i++) {
 141             double ai[] = a[i];
 142                         for(int j = 0; j < M; j++) {
 143                                 ai[j] = j+1;
 144                         }
 145                 }
 146
 147                 for(int i = 0; i < M; i++) {
 148             double bi[] = b[i];
 149                         for(int j = 0; j < N; j++) {
 150                                 bi[j] = j+1;
 151                         }
 152                 }
 153
 154                 for(int i = 0; i < L; i++) {
 155             double ci[] = c[i];
 156                         for(int j = 0; j < N; j++) {
 157                                 ci[j] = 0;
 158                         }
 159                 }
 160                 for(int i = 0; i < N; i++) {
 161             double btransposei[] = btranspose[i];
 162                         for(int j = 0; j < M; j++) {
 163                                 btransposei[j] = 0;
 164                         }
 165                 }
 166         }
 167
 168         public void transpose() {
 169                 for(int row = 0; row < M; row++) {
 170             double brow[] = b[row];
 171                         for(int col = 0; col < N; col++) {
 172                                 btranspose[col][row] = brow[col];
 173                         }
 174                 }
 175         }
 176 }