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

   1 public class MatrixMultiply extends Thread{
   2     MMul mmul;
   3     public int x0, y0, x1, y1;
   4     public MatrixMultiply(MMul mmul, int x0, int x1, int y0, int y1) {
   5         this.mmul = mmul;
   6         this.x0 = x0;
   7         this.y0 = y0;
   8         this.x1 = x1;
   9         this.y1 = y1;
  10     }
  11
  12     public void run() {
  13         atomic {
  14             double la[][]=mmul.a;
  15             double lc[][]=mmul.c;
  16             double lb[][]=mmul.btranspose;
  17             int M=mmul.M;
  18
  19             //Use btranspose for cache performance
  20             for(int i = x0; i< x1; i++){
  21                 double a[]=la[i];
  22                 double c[]=lc[i];
  23                 for (int j = y0; j < y1; j++) {
  24                     double innerProduct=0;
  25                     double b[] = lb[j];
  26                     for(int k = 0; k < M; k++) {
  27                         innerProduct += a[k] *b[k];
  28                     }
  29                     c[j]=innerProduct;
  30                 }
  31             }
  32         }
  33     }
  34
  35     public static void main(String[] args) {
  36         int NUM_THREADS = 4;
  37         int SIZE=600;
  38         if (args.length>0) {
  39             NUM_THREADS=Integer.parseInt(args[0]);
  40             if (args.length>1)
  41                 SIZE=Integer.parseInt(args[1]);
  42         }
  43
  44         int[] mid = new int[8];
  45         mid[0] = (128<<24)|(195<<16)|(175<<8)|84; //dw-10
  46         mid[1] = (128<<24)|(195<<16)|(175<<8)|85; //dw-11
  47         mid[2] = (128<<24)|(195<<16)|(175<<8)|86; //dw-12
  48         mid[3] = (128<<24)|(195<<16)|(175<<8)|87; //dw-13
  49         mid[4] = (128<<24)|(195<<16)|(175<<8)|88; //dw-14
  50         mid[5] = (128<<24)|(195<<16)|(175<<8)|89; //dw-15
  51         mid[6] = (128<<24)|(195<<16)|(175<<8)|90; //dw-16
  52         mid[7] = (128<<24)|(195<<16)|(175<<8)|91; //dw-17
  53         int p, q, r;
  54         MatrixMultiply[] mm;
  55         MatrixMultiply tmp;
  56         MMul matrix;
  57
  58         atomic {
  59             matrix = global new MMul(SIZE, SIZE, SIZE);
  60             matrix.setValues();
  61             matrix.transpose();
  62             mm = global new MatrixMultiply[NUM_THREADS];
  63             int increment=SIZE/NUM_THREADS;
  64             int base=0;
  65             for(int i=0;i<NUM_THREADS;i++) {
  66                 if ((i+1)==NUM_THREADS)
  67                     mm[i]=global new MatrixMultiply(matrix,base, SIZE, 0, SIZE);
  68                 else
  69                     mm[i]=global new MatrixMultiply(matrix,base, base+increment, 0, SIZE);
  70                 base+=increment;
  71             }
  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(mid[i]);
  95         }
  96
  97
  98         // wait for them to finish
  99         for (int i = 0; i < NUM_THREADS; i++) {
 100             atomic {
 101                 tmp = mm[i];
 102             }
 103             tmp.join();
 104         }
 105
 106         // print out the result of the matrix multiply
 107
 108         System.printString("Finished\n");
 109     }
 110 }
 111
 112 public class MMul{
 113
 114         public int L, M, N;
 115         public double[][] a;
 116         public double[][] b;
 117         public double[][] c;
 118         public double[][] btranspose;
 119
 120         public MMul(int L, int M, int N) {
 121                 this.L = L;
 122                 this.M = M;
 123                 this.N = N;
 124                 a = global new double[L][M];
 125                 b = global new double[M][N];
 126                 c = global new double[L][N];
 127                 btranspose = global new double[N][M];
 128         }
 129
 130         public void setValues() {
 131                 for(int i = 0; i < L; i++) {
 132             double ai[] = a[i];
 133                         for(int j = 0; j < M; j++) {
 134                                 ai[j] = j+1;
 135                         }
 136                 }
 137
 138                 for(int i = 0; i < M; i++) {
 139             double bi[] = b[i];
 140                         for(int j = 0; j < N; j++) {
 141                                 bi[j] = j+1;
 142                         }
 143                 }
 144
 145                 for(int i = 0; i < L; i++) {
 146             double ci[] = c[i];
 147                         for(int j = 0; j < N; j++) {
 148                                 ci[j] = 0;
 149                         }
 150                 }
 151                 for(int i = 0; i < N; i++) {
 152             double btransposei[] = btranspose[i];
 153                         for(int j = 0; j < M; j++) {
 154                                 btransposei[j] = 0;
 155                         }
 156                 }
 157         }
 158
 159         public void transpose() {
 160                 for(int row = 0; row < M; row++) {
 161             double brow[] = b[row];
 162                         for(int col = 0; col < N; col++) {
 163                                 btranspose[col][row] = brow[col];
 164                         }
 165                 }
 166         }
 167 }