modified Matrix multiply to take number of matrices as a parameter

diff --git a/Robust/src/Benchmarks/Prefetch/MatrixMultiply/MatrixMultiplyNrun.java b/Robust/src/Benchmarks/Prefetch/MatrixMultiply/MatrixMultiplyNrun.java
new file mode 100644 (file)
index 0000000..ba78479
--- /dev/null
+++ b/Robust/src/Benchmarks/Prefetch/MatrixMultiply/MatrixMultiplyNrun.java
@@ -0,0 +1,174 @@
+public class MatrixMultiply extends Thread{
+    MMul mmul;
+    public int x0, y0, x1, y1;
+    public int nummatrix;
+    
+    public MatrixMultiply(MMul mmul, int x0, int x1, int y0, int y1, int nummatrix) {
+       this.mmul = mmul;
+       this.x0 = x0;
+       this.y0 = y0;
+       this.x1 = x1;
+       this.y1 = y1;
+    this.nummatrix = nummatrix;
+    }
+    
+    public void run() {
+      atomic {
+        double la[][]=mmul.a;
+        double lc[][]=mmul.c;
+        double lb[][]=mmul.btranspose;
+        int M=mmul.M;
+
+        //Use btranspose for cache performance
+        for (int l = 0; l < nummatrix; l++) { 
+          for(int i = x0; i< x1; i++){
+            double a[]=la[i];
+            double c[]=lc[i];
+            for (int j = y0; j < y1; j++) {
+              double innerProduct=0;
+              double b[] = lb[j];
+              for(int k = 0; k < M; k++) {
+                innerProduct += a[k] *b[k];
+              }
+              c[j]=innerProduct;
+            }
+          }
+          System.clearPrefetchCache();
+          //System.clea
+        }
+      }
+    }
+    
+    public static void main(String[] args) {
+       int NUM_THREADS = 4;
+       int SIZE=150;
+    int NUM_MATRIX = 1;
+       if (args.length>0) {
+      NUM_THREADS=Integer.parseInt(args[0]);
+      if (args.length>1) {
+        SIZE=Integer.parseInt(args[1]);
+        if (args.length>2)
+          NUM_MATRIX=Integer.parseInt(args[2]);
+      }
+       }
+       
+       int[] mid = new int[4];
+       mid[0] = (128<<24)|(195<<16)|(175<<8)|79;
+       mid[1] = (128<<24)|(195<<16)|(175<<8)|80;
+       mid[2] = (128<<24)|(195<<16)|(175<<8)|78;
+       mid[3] = (128<<24)|(195<<16)|(175<<8)|73;
+       int p, q, r;
+       MatrixMultiply[] mm;
+       MatrixMultiply tmp;
+       MMul matrix;
+       
+       atomic {
+           matrix = global new MMul(SIZE, SIZE, SIZE);
+           matrix.setValues();
+           matrix.transpose();
+           mm = global new MatrixMultiply[NUM_THREADS];
+           int increment=SIZE/NUM_THREADS;
+           int base=0;
+           for(int i=0;i<NUM_THREADS;i++) {
+               if ((i+1)==NUM_THREADS)
+                   mm[i]=global new MatrixMultiply(matrix,base, SIZE, 0, SIZE, NUM_MATRIX);
+               else
+                   mm[i]=global new MatrixMultiply(matrix,base, base+increment, 0, SIZE, NUM_MATRIX);
+               base+=increment;
+           }
+           p = matrix.L;
+           q = matrix.M;
+           r = matrix.N;
+       }
+       
+       // print out the matrices to be multiplied
+       System.printString("\n");
+       System.printString("MatrixMultiply: L=");
+       System.printInt(p);
+       System.printString("\t");
+       System.printString("M=");
+       System.printInt(q);
+       System.printString("\t");
+       System.printString("N=");
+       System.printInt(r);
+       System.printString("\n");
+    
+       
+    //for(int j = 0; j < NUM_MATRIX; j++) {
+      // start a thread to compute each c[l,n]
+      for (int i = 0; i < NUM_THREADS; i++) {
+        atomic {
+          tmp = mm[i];
+        }
+        tmp.start(mid[i]);
+      }
+
+      // wait for them to finish
+      for (int i = 0; i < NUM_THREADS; i++) {
+        atomic {
+          tmp = mm[i];
+        }
+        tmp.join();
+      }
+    //}
+       // print out the result of the matrix multiply
+       System.printString("Finished\n");
+    }
+}
+
+public class MMul{
+
+       public int L, M, N;
+       public double[][] a;
+       public double[][] b;
+       public double[][] c;
+       public double[][] btranspose;
+
+       public MMul(int L, int M, int N) {
+               this.L = L;
+               this.M = M;
+               this.N = N;
+               a = global new double[L][M];  
+               b = global new double[M][N]; 
+               c = global new double[L][N]; 
+               btranspose = global new double[N][M];
+       }
+
+       public void setValues() {
+               for(int i = 0; i < L; i++) {
+            double ai[] = a[i];
+                       for(int j = 0; j < M; j++) {
+                               ai[j] = j+1;
+                       }
+               }
+
+               for(int i = 0; i < M; i++) {
+            double bi[] = b[i];
+                       for(int j = 0; j < N; j++) {
+                               bi[j] = j+1;
+                       }
+               }
+
+               for(int i = 0; i < L; i++) {
+            double ci[] = c[i];
+                       for(int j = 0; j < N; j++) {
+                               ci[j] = 0;
+                       }
+               }
+               for(int i = 0; i < N; i++) {
+            double btransposei[] = btranspose[i];
+                       for(int j = 0; j < M; j++) {
+                               btransposei[j] = 0;
+                       }
+               }
+       }
+
+       public void transpose() {
+               for(int row = 0; row < M; row++) {
+            double brow[] = b[row];
+                       for(int col = 0; col < N; col++) {
+                               btranspose[col][row] = brow[col];
+                       }
+               }
+       }
+}

diff --git a/Robust/src/Benchmarks/Prefetch/MatrixMultiply/makefile b/Robust/src/Benchmarks/Prefetch/MatrixMultiply/makefile
index 69a49b3a2b33e5d1d7651846579a4a272ac16754..dcbce88ec22f48fc324c5a95babc93a269b27149 100644 (file)
--- a/Robust/src/Benchmarks/Prefetch/MatrixMultiply/makefile
+++ b/Robust/src/Benchmarks/Prefetch/MatrixMultiply/makefile
@@ -1,10 +1,13 @@
 MAINCLASS=MatrixMultiply
 SRC1=${MAINCLASS}N.java
+SRC2=${MAINCLASS}Nrun.java
 FLAGS=-dsm -prefetch -optimize -debug -excprefetch MatrixMultiply.main -excprefetch MMul.setValues -excprefetch MMul.transpose -mainclass ${MAINCLASS} -trueprob 0.7
 FLAGS2=-dsm -optimize -debug -excprefetch MatrixMultiply.main -excprefetch MMul.setValues -excprefetch MMul.transpose -mainclass ${MAINCLASS}
 default:
        ../../../buildscript ${FLAGS2} -o ${MAINCLASS}NP ${SRC1}
        ../../../buildscript ${FLAGS} -o ${MAINCLASS}P ${SRC1}
+       ../../../buildscript ${FLAGS2} -o ${MAINCLASS}NrunNP ${SRC2}
+       ../../../buildscript ${FLAGS} -o ${MAINCLASS}NrunP ${SRC2}
 
 clean:
        rm *.bin