+++ /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 printArrayMT( 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)) verifyMT(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[] )
-{
-
- data_t a1;
- data_t a2;
- data_t a3;
- data_t a4;
- data_t a5;
- data_t a6;
- data_t a7;
- data_t a8;
- data_t *b1;
- data_t *b2;
- data_t *b3;
- data_t *b4;
- data_t *b5;
- data_t *b6;
- data_t *b7;
- data_t *b8;
- data_t c1;
- data_t c2;
- data_t c3;
- data_t c4;
- data_t c5;
- data_t c6;
- data_t c7;
- data_t c8;
- int i, j, k;
- int start, end;
- static data_t BB[1024];
-
-
- //transpose B
- if (coreid == 0 | coreid == 1 ) {
- for ( k = 0; k < lda; k++) {
- for ( i = coreid*(lda/2); i < (coreid+1)*(lda/2); i++ ) {
- BB[i*lda + k] = B[k*lda + i];
- }
- }
- }
- barrier(nc);
-
- for ( int x = 0; x < ncores; x++) {
- //split the i values into two chunks so the threads don't interfere on the B loads
- //this could be generalized if needed, but I won't bother since it would be tricky
- //and we already know the size and numthreads
- start = coreid == x ? 0 : 16;
- end = coreid == x ? 16 : 32;
- for ( i = start; i < end; i+=8 ) {
- for ( j = coreid*(lda/ncores); j < (coreid+1)*(lda/ncores); j++ ) {
- c1=0;c2=0;c3=0;c4=0;c5=0;c6=0;c7=0;c8=0;
- b1 = &BB[(i+0)*lda];
- b2 = &BB[(i+1)*lda];
- b3 = &BB[(i+2)*lda];
- b4 = &BB[(i+3)*lda];
- b5 = &BB[(i+4)*lda];
- b6 = &BB[(i+5)*lda];
- b7 = &BB[(i+6)*lda];
- b8 = &BB[(i+7)*lda];
-
- for ( k = 0; k < lda; k+=8 ) {
- a1 = A[j*lda + k+0];
- a2 = A[j*lda + k+1];
- a3 = A[j*lda + k+2];
- a4 = A[j*lda + k+3];
- a5 = A[j*lda + k+4];
- a6 = A[j*lda + k+5];
- a7 = A[j*lda + k+6];
- a8 = A[j*lda + k+7];
-
- c1 += a1 * b1[k+0];
- c1 += a2 * b1[k+1];
- c1 += a3 * b1[k+2];
- c1 += a4 * b1[k+3];
- c1 += a5 * b1[k+4];
- c1 += a6 * b1[k+5];
- c1 += a7 * b1[k+6];
- c1 += a8 * b1[k+7];
-
- c2 += a1 * b2[k+0];
- c2 += a2 * b2[k+1];
- c2 += a3 * b2[k+2];
- c2 += a4 * b2[k+3];
- c2 += a5 * b2[k+4];
- c2 += a6 * b2[k+5];
- c2 += a7 * b2[k+6];
- c2 += a8 * b2[k+7];
-
- c3 += a1 * b3[k+0];
- c3 += a2 * b3[k+1];
- c3 += a3 * b3[k+2];
- c3 += a4 * b3[k+3];
- c3 += a5 * b3[k+4];
- c3 += a6 * b3[k+5];
- c3 += a7 * b3[k+6];
- c3 += a8 * b3[k+7];
-
- c4 += a1 * b4[k+0];
- c4 += a2 * b4[k+1];
- c4 += a3 * b4[k+2];
- c4 += a4 * b4[k+3];
- c4 += a5 * b4[k+4];
- c4 += a6 * b4[k+5];
- c4 += a7 * b4[k+6];
- c4 += a8 * b4[k+7];
-
- c5 += a1 * b5[k+0];
- c5 += a2 * b5[k+1];
- c5 += a3 * b5[k+2];
- c5 += a4 * b5[k+3];
- c5 += a5 * b5[k+4];
- c5 += a6 * b5[k+5];
- c5 += a7 * b5[k+6];
- c5 += a8 * b5[k+7];
-
- c6 += a1 * b6[k+0];
- c6 += a2 * b6[k+1];
- c6 += a3 * b6[k+2];
- c6 += a4 * b6[k+3];
- c6 += a5 * b6[k+4];
- c6 += a6 * b6[k+5];
- c6 += a7 * b6[k+6];
- c6 += a8 * b6[k+7];
-
- c7 += a1 * b7[k+0];
- c7 += a2 * b7[k+1];
- c7 += a3 * b7[k+2];
- c7 += a4 * b7[k+3];
- c7 += a5 * b7[k+4];
- c7 += a6 * b7[k+5];
- c7 += a7 * b7[k+6];
- c7 += a8 * b7[k+7];
-
- c8 += a1 * b8[k+0];
- c8 += a2 * b8[k+1];
- c8 += a3 * b8[k+2];
- c8 += a4 * b8[k+3];
- c8 += a5 * b8[k+4];
- c8 += a6 * b8[k+5];
- c8 += a7 * b8[k+6];
- c8 += a8 * b8[k+7];
- }
- C[i+0 + j*lda] += c1;
- C[i+1 + j*lda] += c2;
- C[i+2 + j*lda] += c3;
- C[i+3 + j*lda] += c4;
- C[i+4 + j*lda] += c5;
- C[i+5 + j*lda] += c6;
- C[i+6 + j*lda] += c7;
- C[i+7 + j*lda] += c8;
- }
- }
- }
-}
-
-//--------------------------------------------------------------------------
-// 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(nc);
- stats(matmul_naive(DIM_SIZE, input1_data, input2_data, results_data); barrier(nc));
-
-
- // verify
- verifyMT(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(nc);
-*/
-
-
- // Execute your faster matmul
- barrier(nc);
- stats(matmul(DIM_SIZE, input1_data, input2_data, results_data); barrier(nc));
-
-#ifdef DEBUG
- printArrayMT("results:", ARRAY_SIZE, results_data);
- printArrayMT("verify :", ARRAY_SIZE, verify_data);
-#endif
-
- // verify
- verifyMT(ARRAY_SIZE, results_data, verify_data);
- barrier(nc);
-
- exit(0);
-}
-
projects / riscv-tests.git / blobdiff