+++ /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 i, j, k;
- int temp0, temp1,temp2,temp3,temp4,temp5,temp6,temp7;
- int start = coreid*lda/2;
- int end = start + lda/2;
- int j_lda;
- int temp_i;
- int temp_A0, temp_A1, temp_A2, temp_A3 ;
-
- for ( i = start; i < end; i+=8){
- for ( j = 0; j < lda; j++)
- {
- j_lda = j*lda;
- temp0 = C[(i+0) + j_lda];
- temp1 = C[(i+1) + j_lda];
- temp2 = C[(i+2) + j_lda];
- temp3 = C[(i+3) + j_lda];
- temp4 = C[(i+4) + j_lda];
- temp5 = C[(i+5) + j_lda];
- temp6 = C[(i+6) + j_lda];
- temp7 = C[(i+7) + j_lda];
-
-
-
- for ( k = 0; k < lda; k+=4)
- {
- temp_i = i;
- temp_A0 = A[j_lda + (k+0)] ;
- temp_A1 = A[j_lda + (k+1)] ;
- temp_A2 = A[j_lda + (k+2)] ;
- temp_A3 = A[j_lda + (k+3)] ;
-
-
- temp0 += temp_A0 * B[(k+0)*lda + temp_i];
- temp0 += temp_A1 * B[(k+1)*lda + temp_i];
- temp0 += temp_A2 * B[(k+2)*lda + temp_i];
- temp0 += temp_A3 * B[(k+3)*lda + temp_i];
- temp_i++;
-
- temp1 += temp_A0 * B[(k+0)*lda + temp_i];
- temp1 += temp_A1 * B[(k+1)*lda + temp_i];
- temp1 += temp_A2 * B[(k+2)*lda + temp_i];
- temp1 += temp_A3 * B[(k+3)*lda + temp_i];
- temp_i++;
-
- temp2 += temp_A0 * B[(k+0)*lda + temp_i];
- temp2 += temp_A1 * B[(k+1)*lda + temp_i];
- temp2 += temp_A2 * B[(k+2)*lda + temp_i];
- temp2 += temp_A3 * B[(k+3)*lda + temp_i];
- temp_i++;
-
-
- temp3 += temp_A0 * B[(k+0)*lda + temp_i];
- temp3 += temp_A1 * B[(k+1)*lda + temp_i];
- temp3 += temp_A2 * B[(k+2)*lda + temp_i];
- temp3 += temp_A3 * B[(k+3)*lda + temp_i];
- temp_i++;
-
- temp4 += temp_A0 * B[(k+0)*lda + temp_i];
- temp4 += temp_A1 * B[(k+1)*lda + temp_i];
- temp4 += temp_A2 * B[(k+2)*lda + temp_i];
- temp4 += temp_A3 * B[(k+3)*lda + temp_i];
- temp_i++;
-
- temp5 += temp_A0 * B[(k+0)*lda + temp_i];
- temp5 += temp_A1 * B[(k+1)*lda + temp_i];
- temp5 += temp_A2 * B[(k+2)*lda + temp_i];
- temp5 += temp_A3 * B[(k+3)*lda + temp_i];
- temp_i++;
-
- temp6 += temp_A0 * B[(k+0)*lda + temp_i];
- temp6 += temp_A1 * B[(k+1)*lda + temp_i];
- temp6 += temp_A2 * B[(k+2)*lda + temp_i];
- temp6 += temp_A3 * B[(k+3)*lda + temp_i];
- temp_i++;
-
-
- temp7 += temp_A0 * B[(k+0)*lda + temp_i];
- temp7 += temp_A1 * B[(k+1)*lda + temp_i];
- temp7 += temp_A2 * B[(k+2)*lda + temp_i];
- temp7 += temp_A3 * B[(k+3)*lda + temp_i];
- temp_i++;
-
- }
-
- C[i + j*lda] = temp0;
- C[(i+1) + j*lda] = temp1;
- C[(i+2) + j*lda] = temp2;
- C[(i+3) + j*lda] = temp3;
- C[(i+4) + j*lda] = temp4;
- C[(i+5) + j*lda] = temp5;
- C[(i+6) + j*lda] = temp6;
- C[(i+7) + j*lda] = 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();
- 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