--- /dev/null
+//**************************************************************************
+// Multi-threaded Matrix Multiply benchmark
+//--------------------------------------------------------------------------
+// TA : Christopher Celio
+// Student:
+//
+//
+// This benchmark multiplies two 2-D arrays together and writes the results to
+// a third vector. The input data (and reference data) should be generated
+// using the matmul_gendata.pl perl script and dumped to a file named
+// dataset.h.
+
+
+// print out arrays, etc.
+//#define DEBUG
+
+//--------------------------------------------------------------------------
+// Includes
+
+#include <string.h>
+#include <stdlib.h>
+#include <stdio.h>
+
+
+//--------------------------------------------------------------------------
+// Input/Reference Data
+
+typedef float data_t;
+#include "dataset.h"
+
+
+//--------------------------------------------------------------------------
+// Basic Utilities and Multi-thread Support
+
+__thread unsigned long coreid;
+unsigned long ncores;
+
+#include "util.h"
+
+#define stringify_1(s) #s
+#define stringify(s) stringify_1(s)
+#define stats(code) do { \
+ unsigned long _c = -rdcycle(), _i = -rdinstret(); \
+ code; \
+ _c += rdcycle(), _i += rdinstret(); \
+ if (coreid == 0) \
+ printf("%s: %ld cycles, %ld.%ld cycles/iter, %ld.%ld CPI\n", \
+ stringify(code), _c, _c/DIM_SIZE/DIM_SIZE/DIM_SIZE, 10*_c/DIM_SIZE/DIM_SIZE/DIM_SIZE%10, _c/_i, 10*_c/_i%10); \
+ } while(0)
+
+
+//--------------------------------------------------------------------------
+// Helper functions
+
+void printArray( char name[], int n, data_t arr[] )
+{
+ int i;
+ if (coreid != 0)
+ return;
+
+ printf( " %10s :", name );
+ for ( i = 0; i < n; i++ )
+ printf( " %3ld ", (long) arr[i] );
+ printf( "\n" );
+}
+
+void __attribute__((noinline)) verify(size_t n, const data_t* test, const data_t* correct)
+{
+ if (coreid != 0)
+ return;
+
+ size_t i;
+ for (i = 0; i < n; i++)
+ {
+ if (test[i] != correct[i])
+ {
+ printf("FAILED test[%d]= %3ld, correct[%d]= %3ld\n",
+ i, (long)test[i], i, (long)correct[i]);
+ exit(-1);
+ }
+ }
+
+ return;
+}
+
+//--------------------------------------------------------------------------
+// matmul function
+
+// single-thread, naive version
+void __attribute__((noinline)) matmul_naive(const int lda, const data_t A[], const data_t B[], data_t C[] )
+{
+
+ int i, j, k;
+
+ if (coreid > 0)
+ return;
+
+ for ( i = 0; i < lda; i++ )
+ for ( j = 0; j < lda; j++ )
+ {
+ for ( k = 0; k < lda; k++ )
+ {
+ C[i + j*lda] += A[j*lda + k] * B[k*lda + i];
+ }
+ }
+
+}
+
+
+
+void __attribute__((noinline)) matmul(const int lda, const data_t A[], const data_t B[], data_t C[] )
+{
+
+ // ***************************** //
+ // **** ADD YOUR CODE HERE ***** //
+ // ***************************** //
+ //
+ // feel free to make a separate function for MI and MSI versions.
+
+ int m, i, j, k, iB0, iB1;
+ data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7;
+ data_t tempA0, tempA1;
+
+ if (coreid == 0){
+ for (m = 0; m < 2; m++){
+ for (j = 0; j < lda/2; j++){
+ for (i = 0; i < lda; i+=8){
+ tempC0 = C[i + j*lda];
+ tempC1 = C[i + j*lda+1];
+ tempC2 = C[i + j*lda+2];
+ tempC3 = C[i + j*lda+3];
+ tempC4 = C[i + j*lda+4];
+ tempC5 = C[i + j*lda+5];
+ tempC6 = C[i + j*lda+6];
+ tempC7 = C[i + j*lda+7];
+ iB0 = m*lda*lda/2+i;
+ iB1 = iB0+lda;
+ for (k = m*lda/2; k < (m+1)*lda/2; k+=2){
+ tempA0 = A[j*lda+k];
+ tempA1 = A[j*lda+k+1];
+ tempC0 += tempA0*B[iB0]+tempA1*B[iB1];
+ tempC1 += tempA0*B[iB0+1]+tempA1*B[iB1+1];
+ tempC2 += tempA0*B[iB0+2]+tempA1*B[iB1+2];
+ tempC3 += tempA0*B[iB0+3]+tempA1*B[iB1+3];
+ tempC4 += tempA0*B[iB0+4]+tempA1*B[iB1+4];
+ tempC5 += tempA0*B[iB0+5]+tempA1*B[iB1+5];
+ tempC6 += tempA0*B[iB0+6]+tempA1*B[iB1+6];
+ tempC7 += tempA0*B[iB0+7]+tempA1*B[iB1+7];
+ iB0 += 2*lda;
+ iB1 += 2*lda;
+
+ }
+ C[i + j*lda] = tempC0;
+ C[i + j*lda + 1] = tempC1;
+ C[i + j*lda + 2] = tempC2;
+ C[i + j*lda + 3] = tempC3;
+ C[i + j*lda + 4] = tempC4;
+ C[i + j*lda + 5] = tempC5;
+ C[i + j*lda + 6] = tempC6;
+ C[i + j*lda + 7] = tempC7;
+ }
+ }
+ }
+ } else {
+ for (m = 2; m > 0; m--){
+ for (j = lda-1; j >= lda/2; j--){
+ for (i = lda-1; i >= 0; i-=8){
+ tempC0 = C[i + j*lda];
+ tempC1 = C[i + j*lda - 1];
+ tempC2 = C[i + j*lda - 2];
+ tempC3 = C[i + j*lda - 3];
+ tempC4 = C[i + j*lda - 4];
+ tempC5 = C[i + j*lda - 5];
+ tempC6 = C[i + j*lda - 6];
+ tempC7 = C[i + j*lda - 7];
+ for (k = m*lda/2-1; k >= (m-1)*lda/2; k-=2){
+ tempA0 = A[j*lda+k];
+ tempA1 = A[j*lda+k-1];
+ tempC0 += tempA0*B[k*lda+i]+tempA1*B[(k-1)*lda+i];
+ tempC1 += tempA0*B[k*lda+i-1]+tempA1*B[(k-1)*lda+i-1];
+ tempC2 += tempA0*B[k*lda+i-2]+tempA1*B[(k-1)*lda+i-2];
+ tempC3 += tempA0*B[k*lda+i-3]+tempA1*B[(k-1)*lda+i-3];
+ tempC4 += tempA0*B[k*lda+i-4]+tempA1*B[(k-1)*lda+i-4];
+ tempC5 += tempA0*B[k*lda+i-5]+tempA1*B[(k-1)*lda+i-5];
+ tempC6 += tempA0*B[k*lda+i-6]+tempA1*B[(k-1)*lda+i-6];
+ tempC7 += tempA0*B[k*lda+i-7]+tempA1*B[(k-1)*lda+i-7];
+ }
+ C[i + j*lda] = tempC0;
+ C[i + j*lda - 1] = tempC1;
+ C[i + j*lda - 2] = tempC2;
+ C[i + j*lda - 3] = tempC3;
+ C[i + j*lda - 4] = tempC4;
+ C[i + j*lda - 5] = tempC5;
+ C[i + j*lda - 6] = tempC6;
+ C[i + j*lda - 7] = tempC7;
+ }
+ }
+ }
+ }
+}
+
+//--------------------------------------------------------------------------
+// Main
+//
+// all threads start executing thread_entry(). Use their "coreid" to
+// differentiate between threads (each thread is running on a separate core).
+
+void thread_entry(int cid, int nc)
+{
+ coreid = cid;
+ ncores = nc;
+
+ // static allocates data in the binary, which is visible to both threads
+ static data_t results_data[ARRAY_SIZE];
+
+
+// // Execute the provided, naive matmul
+// barrier();
+// stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier());
+//
+//
+// // verify
+// verify(ARRAY_SIZE, results_data, verify_data);
+//
+// // clear results from the first trial
+// size_t i;
+// if (coreid == 0)
+// for (i=0; i < ARRAY_SIZE; i++)
+// results_data[i] = 0;
+// barrier();
+
+
+ // Execute your faster matmul
+ barrier();
+ stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier());
+
+#ifdef DEBUG
+ printArray("results:", ARRAY_SIZE, results_data);
+ printArray("verify :", ARRAY_SIZE, verify_data);
+#endif
+
+ // verify
+ verify(ARRAY_SIZE, results_data, verify_data);
+ barrier();
+
+ exit(0);
+}
+
projects / riscv-tests.git / blobdiff