+++ /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];
- }
- }
-//*/
- /*
- int i, j, k, kk;
- if (coreid) {
- for ( i = 0; i < 16; i+=8 )
- {
- for ( j = 0; j < 32; j++ )
- {
- data_t temp0 = 0;
- data_t temp1 = 0;
- data_t temp2 = 0;
- data_t temp3 = 0;
- data_t temp4 = 0;
- data_t temp5 = 0;
- data_t temp6 = 0;
- data_t temp7 = 0;
- for ( kk = 0; kk < 32; kk+=8 )
- for ( k = kk; k < kk+8; k++ )
-// for ( k = 0; k < 32; k++ )
- {
- data_t tempA = A[j*32+k];
- temp0 += tempA * B[k*32 + i];
- temp1 += tempA * B[k*32 + i+1];
- temp2 += tempA * B[k*32 + i+2];
- temp3 += tempA * B[k*32 + i+3];
- temp4 += tempA * B[k*32 + i+4];
- temp5 += tempA * B[k*32 + i+5];
- temp6 += tempA * B[k*32 + i+6];
- temp7 += tempA * B[k*32 + i+7];
- }
- C[i+j*32] = temp0;
- C[i+j*32+1] = temp1;
- C[i+j*32+2] = temp2;
- C[i+j*32+3] = temp3;
- C[i+j*32+4] = temp4;
- C[i+j*32+5] = temp5;
- C[i+j*32+6] = temp6;
- C[i+j*32+7] = temp7;
- }
- }
- } else {
- for ( i = 16; i < 32; i+=8 )
- {
- for ( j = 0; j < 32; j++ )
- {
- data_t temp0 = 0;
- data_t temp1 = 0;
- data_t temp2 = 0;
- data_t temp3 = 0;
- data_t temp4 = 0;
- data_t temp5 = 0;
- data_t temp6 = 0;
- data_t temp7 = 0;
- for ( kk = 0; kk < 32; kk+=8 )
- for ( k = kk; k < kk+8; k++ )
- {
- data_t tempA = A[j*32+k];
- temp0 += tempA * B[k*32 + i];
- temp1 += tempA * B[k*32 + i+1];
- temp2 += tempA * B[k*32 + i+2];
- temp3 += tempA * B[k*32 + i+3];
- temp4 += tempA * B[k*32 + i+4];
- temp5 += tempA * B[k*32 + i+5];
- temp6 += tempA * B[k*32 + i+6];
- temp7 += tempA * B[k*32 + i+7];
- }
- C[i+j*32] = temp0;
- C[i+j*32+1] = temp1;
- C[i+j*32+2] = temp2;
- C[i+j*32+3] = temp3;
- C[i+j*32+4] = temp4;
- C[i+j*32+5] = temp5;
- C[i+j*32+6] = temp6;
- C[i+j*32+7] = temp7;
- }
-
- }
- }
- */
-}
-
-
-#define KC 16
-#define IC 16
-#define JC 16
-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 i, j, k, ii, jj, kk;
- if (coreid) {
-// for ( ii = 0; ii < 32; ii+=IC )
- for ( jj = 0; jj < 16; jj+=16 )
- for ( kk = 0; kk < 32; kk+=16 )
- for ( j = jj; j < jj+16 && j < 16; j++ )
-// for ( j = 0; j < 16; j++ )
- {
- for ( i = 0; i < 32; i+=8 )
-// for ( i = ii; i < ii + IC && i < 32; i+=8 )
- {
- data_t temp0 = C[i+j*32];
- data_t temp1 = C[i+j*32+1];
- data_t temp2 = C[i+j*32+2];
- data_t temp3 = C[i+j*32+3];
- data_t temp4 = C[i+j*32+4];
- data_t temp5 = C[i+j*32+5];
- data_t temp6 = C[i+j*32+6];
- data_t temp7 = C[i+j*32+7];
- for ( k = kk; k < kk+16 && k < 32; k++ )
-// for ( k = 0; k < 32; k++ )
- {
- data_t tempA = A[j*32+k];
- temp0 += tempA * B[k*32 + i];
- temp1 += tempA * B[k*32 + i+1];
- temp2 += tempA * B[k*32 + i+2];
- temp3 += tempA * B[k*32 + i+3];
- temp4 += tempA * B[k*32 + i+4];
- temp5 += tempA * B[k*32 + i+5];
- temp6 += tempA * B[k*32 + i+6];
- temp7 += tempA * B[k*32 + i+7];
- }
- C[i+j*32] = temp0;
- C[i+j*32+1] = temp1;
- C[i+j*32+2] = temp2;
- C[i+j*32+3] = temp3;
- C[i+j*32+4] = temp4;
- C[i+j*32+5] = temp5;
- C[i+j*32+6] = temp6;
- C[i+j*32+7] = temp7;
- }
- }
- } else {
-// for ( ii = 0; ii < 32; ii+=IC )
- for ( jj = 16; jj < 32; jj+= 16 ) {
- for ( kk = 16; kk < 32; kk+=16 )
- for ( j = jj; j < jj+16 && j < 32; j++ )
-// for ( j = 16; j < 32; j++ )
- {
- for ( i = 0; i < 32; i+=8 )
-// for ( i = ii; i < ii + IC && i < 32; i+=8 )
- {
- data_t temp0 = C[i+j*32];
- data_t temp1 = C[i+j*32+1];
- data_t temp2 = C[i+j*32+2];
- data_t temp3 = C[i+j*32+3];
- data_t temp4 = C[i+j*32+4];
- data_t temp5 = C[i+j*32+5];
- data_t temp6 = C[i+j*32+6];
- data_t temp7 = C[i+j*32+7];
- for ( k = kk; k < kk+16 && k < 32; k++ )
- {
- data_t tempA = A[j*32+k];
- temp0 += tempA * B[k*32 + i];
- temp1 += tempA * B[k*32 + i+1];
- temp2 += tempA * B[k*32 + i+2];
- temp3 += tempA * B[k*32 + i+3];
- temp4 += tempA * B[k*32 + i+4];
- temp5 += tempA * B[k*32 + i+5];
- temp6 += tempA * B[k*32 + i+6];
- temp7 += tempA * B[k*32 + i+7];
- }
- C[i+j*32] = temp0;
- C[i+j*32+1] = temp1;
- C[i+j*32+2] = temp2;
- C[i+j*32+3] = temp3;
- C[i+j*32+4] = temp4;
- C[i+j*32+5] = temp5;
- C[i+j*32+6] = temp6;
- C[i+j*32+7] = temp7;
- }
-
- }
- for ( kk = 0; kk < 16; kk+=16 )
- for ( j = jj; j < jj+16 && j < 32; j++ )
-// for ( j = 16; j < 32; j++ )
- {
- for ( i = 0; i < 32; i+=8 )
-// for ( i = ii; i < ii + IC && i < 32; i+=8 )
- {
- data_t temp0 = C[i+j*32];
- data_t temp1 = C[i+j*32+1];
- data_t temp2 = C[i+j*32+2];
- data_t temp3 = C[i+j*32+3];
- data_t temp4 = C[i+j*32+4];
- data_t temp5 = C[i+j*32+5];
- data_t temp6 = C[i+j*32+6];
- data_t temp7 = C[i+j*32+7];
- for ( k = kk; k < kk+16 && k < 32; k++ )
- {
- data_t tempA = A[j*32+k];
- temp0 += tempA * B[k*32 + i];
- temp1 += tempA * B[k*32 + i+1];
- temp2 += tempA * B[k*32 + i+2];
- temp3 += tempA * B[k*32 + i+3];
- temp4 += tempA * B[k*32 + i+4];
- temp5 += tempA * B[k*32 + i+5];
- temp6 += tempA * B[k*32 + i+6];
- temp7 += tempA * B[k*32 + i+7];
- }
- C[i+j*32] = temp0;
- C[i+j*32+1] = temp1;
- C[i+j*32+2] = temp2;
- C[i+j*32+3] = temp3;
- C[i+j*32+4] = temp4;
- C[i+j*32+5] = temp5;
- C[i+j*32+6] = temp6;
- C[i+j*32+7] = temp7;
- }
-
- }
- }
- }
-}
-
-//--------------------------------------------------------------------------
-// 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