Clean up canonical mt benchmarks and reorganize extra versions in /mt. All versions support support at least 1/2/4 threads.

1 files changed, 79 insertions, 0 deletions

diff --git a/mt/af_matmul.c b/mt/af_matmul.c
new file mode 100755
index 0000000..a147b62
--- /dev/null
+++ b/mt/af_matmul.c
@@ -0,0 +1,79 @@
+#include "stdlib.h"
+
+#include "util.h"
+
+#include "dataset.h"
+void __attribute__((noinline)) matmul(const int coreid, const int ncores, const int lda,  const data_t A[], const data_t B[], data_t C[] )
+{
+    size_t i, j, k, l;
+  int row,row2, column, column2, column3, column4, column5, column6, column7, column8;
+  data_t element, element2, element3, element4, element5, element6, element7, element8;
+	data_t B1, B2, B3, B4;
+  data_t temp_mat[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
+  data_t temp_mat2[32]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
+	int local_lda = lda;
+
+  for (l=coreid*local_lda/ncores; l<local_lda*(1+coreid)/ncores; l+=2){
+    row=l*32;
+    row2=(l+1)*32;
+		//element = A[row];
+		//element5 = A[row2];
+    for (i=0; i<local_lda; i+=4){
+      element = A[row+i];
+      element2 = A[row+i+1];
+      element3 = A[row+i+2];
+      element4 = A[row+i+3];
+
+      element5 = A[row2+i];
+      element6 = A[row2+i+1];
+      element7 = A[row2+i+2];
+      element8 = A[row2+i+3];
+
+      column=i*local_lda;
+      column2=(i+1)*local_lda;
+      column3=(i+2)*local_lda;
+      column4=(i+3)*local_lda;
+
+			B1 = B[column];
+			B2 = B[column2];
+			B3 = B[column3];
+			B4 = B[column4];
+	
+      for (j=0; j<lda; j+=4){		
+				temp_mat[j]+=element*B1+element2*B2+element3*B3+element4*B4;
+				temp_mat[j+1]+=element*B[column+j+1]+element2*B[column2+j+1]+element3*B[column3+j+1]+element4*B[column4+j+1];
+				temp_mat[j+2]+=element*B[column+j+2]+element2*B[column2+j+2]+element3*B[column3+j+2]+element4*B[column4+j+2];
+				temp_mat[j+3]+=element*B[column+j+3]+element2*B[column2+j+3]+element3*B[column3+j+3]+element4*B[column4+j+3];
+
+				temp_mat2[j]+=element5*B1+element6*B2+element7*B3+element8*B4;
+				temp_mat2[j+1]+=element5*B[column+j+1]+element6*B[column2+j+1]+element7*B[column3+j+1]+element8*B[column4+j+1];
+				temp_mat2[j+2]+=element5*B[column+j+2]+element6*B[column2+j+2]+element7*B[column3+j+2]+element8*B[column4+j+2];
+				temp_mat2[j+3]+=element5*B[column+j+3]+element6*B[column2+j+3]+element7*B[column3+j+3]+element8*B[column4+j+3];
+
+				B1 = B[column+j+4];
+				B2 = B[column2+j+4];
+				B3 = B[column3+j+4];
+				B4 = B[column4+j+4];
+		
+				}
+			//element = A[row+i+4];
+			//element5 = A[row2+i+4];
+      }
+
+			for(k=0; k<local_lda; k++){
+				C[row+k]=temp_mat[k];
+				temp_mat[k]=0;
+				C[row2+k]=temp_mat2[k];
+				temp_mat2[k]=0;
+
+				}
+
+	
+  }
+   // ***************************** //
+   // **** ADD YOUR CODE HERE ***** //
+   // ***************************** //
+   //
+   // feel free to make a separate function for MI and MSI versions.
+
+}