+++ /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];
- }
- }
-
-}
-
-
-data_t ffmul(data_t a, data_t b) {
- data_t result = 0;
-
- for (int i=0; i < b; i++) {
- result += a;
- }
-
- return result;
-}
-
-
-//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.
-//
-// static __thread int i, j, k;
-// static __thread int jlda, ilda;
-// static __thread data_t tempA1, tempA2, tempA3, tempA4, tempA5, tempA6, tempA7, tempA8;
-// static __thread int start, end;
-//
-// start = coreid*(lda>>1);
-// end = (coreid+1)*(lda>>1);
-//
-// for (j=start; j < end; j+=1) {
-// jlda = j * lda;
-// for ( i=0; i < lda; i+=1 ) {
-// ilda = i*lda;
-// tempA1 = A[i + jlda];
-// //tempA2 = A[i+1 + jlda];
-// //tempA3 = A[i+2 + jlda];
-// //tempA4 = A[i+3 + jlda];
-// //tempA5 = A[i+4 + jlda];
-// //tempA6 = A[i+5 + jlda];
-// //tempA7 = A[i+6 + jlda];
-// //tempA8 = A[i+7 + jlda];
-// //tempC1 = C[i + j*lda];
-// //tempC2 = C[i+1 + j*lda];
-// for(k=0; k < lda; k+=1) {
-// //C[k + jlda] += tempA1 * B[k + i*lda] + tempA2 * B[k + (i+1)*lda] + tempA3 * B[k + (i+2)*lda] + tempA4 * B[k + (i+3)*lda] +
-// // tempA5 * B[k + (i+4)*lda] + tempA6 * B[k + (i+5)*lda] + tempA7 * B[k + (i+6)*lda] + tempA8 * B[k + (i+7)*lda];
-//
-// C[k + jlda] += tempA1* B[k + i*lda];// + ffmul(tempA2,B[k + (i+1)*lda]) + tempA3 * B[k + (i+2)*lda] + tempA4 * B[k + (i+3)*lda] +
-// // tempA5 * B[k + (i+4)*lda] + tempA6 * B[k + (i+5)*lda] + tempA7 * B[k + (i+6)*lda] + tempA8 * B[k + (i+7)*lda];
-// //
-// //C[k+1 + jlda] += tempA1 * B[k+1 + i*lda] + tempA2 * B[k+1 + (i+1)*lda] + tempA3 * B[k+1 + (i+2)*lda] + tempA4 * B[k+1 + (i+3)*lda] +
-// // tempA5 * B[k+1 + (i+4)*lda] + tempA6 * B[k+1 + (i+5)*lda] + tempA7 * B[k+1 + (i+6)*lda] + tempA8 * B[k+1 + (i+7)*lda];
-// //
-// //C[k+2 + jlda] += tempA1 * B[k+2 + i*lda] + tempA2 * B[k+2 + (i+1)*lda] + tempA3 * B[k+2 + (i+2)*lda] + tempA4 * B[k+2 + (i+3)*lda] +
-// // tempA5 * B[k+2 + (i+4)*lda] + tempA6 * B[k+2 + (i+5)*lda] + tempA7 * B[k+2 + (i+6)*lda] + tempA8 * B[k+2 + (i+7)*lda];
-// //
-// //C[k+3 + jlda] += tempA1 * B[k+3 + i*lda] + tempA2 * B[k+3 + (i+1)*lda] + tempA3 * B[k+3 + (i+2)*lda] + tempA4 * B[k+3 + (i+3)*lda] +
-// // tempA5 * B[k+3 + (i+4)*lda] + tempA6 * B[k+3 + (i+5)*lda] + tempA7 * B[k+3 + (i+6)*lda] + tempA8 * B[k+3 + (i+7)*lda];
-// //
-// //C[k+4 + jlda] += tempA1 * B[k+4 + i*lda] + tempA2 * B[k+4 + (i+1)*lda] + tempA3 * B[k+4 + (i+2)*lda] + tempA4 * B[k+4 + (i+3)*lda] +
-// // tempA5 * B[k+4 + (i+4)*lda] + tempA6 * B[k+4 + (i+5)*lda] + tempA7 * B[k+4 + (i+6)*lda] + tempA8 * B[k+4 + (i+7)*lda];
-// //
-// //C[k+5 + jlda] += tempA1 * B[k+5 + i*lda] + tempA2 * B[k+5 + (i+1)*lda] + tempA3 * B[k+5 + (i+2)*lda] + tempA4 * B[k+5 + (i+3)*lda] +
-// // tempA5 * B[k+5 + (i+4)*lda] + tempA6 * B[k+5 + (i+5)*lda] + tempA7 * B[k+5 + (i+6)*lda] + tempA8 * B[k+5 + (i+7)*lda];
-// //
-// //C[k+6 + jlda] += tempA1 * B[k+6 + i*lda] + tempA2 * B[k+6 + (i+1)*lda] + tempA3 * B[k+6 + (i+2)*lda] + tempA4 * B[k+6 + (i+3)*lda] +
-// // tempA5 * B[k+6 + (i+4)*lda] + tempA6 * B[k+6 + (i+5)*lda] + tempA7 * B[k+6 + (i+6)*lda] + tempA8 * B[k+6 + (i+7)*lda];
-// //
-// //C[k+7 + jlda] += tempA1 * B[k+7 + i*lda] + tempA2 * B[k+7 + (i+1)*lda] + tempA3 * B[k+7 + (i+2)*lda] + tempA4 * B[k+7 + (i+3)*lda] +
-// // tempA5 * B[k+7 + (i+4)*lda] + tempA6 * B[k+7 + (i+5)*lda] + tempA7 * B[k+7 + (i+6)*lda] + tempA8 * B[k+7 + (i+7)*lda];
-//
-//
-// }
-// }
-// }
-//}
-
-
-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.
-
- static __thread int i, j, k;
- static __thread data_t tempA0, tempA1, tempA2, tempA3, tempA4, tempA5, tempA6, tempA7;
- static __thread data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7; //tempC8, tempC9, tempC10, tempC11, tempC12, tempC13, tempC14, tempC15;
-
- static __thread int start, end, jStride, jToRow, jToCol, iToRow;
-
- start = coreid << 9;
- end = (coreid+1) << 9;
- jStride = 8;
-
- for (j=start; j < end; j+=jStride) {
- jToRow = (j>>5)<<5;
- jToCol = j%32;
- tempC0 = 0;
- tempC1 = 0;
- tempC2 = 0;
- tempC3 = 0;
- tempC4 = 0;
- tempC5 = 0;
- tempC6 = 0;
- tempC7 = 0;
- //tempC8 = 0;
- //tempC9 = 0;
- //tempC10 = 0;
- //tempC11 = 0;
- //tempC12 = 0;
- //tempC13 = 0;
- //tempC14 = 0;
- //tempC15 = 0;
-
- for ( i=0; i < lda; i+=2 ) {
- iToRow = i << 5;
-
- tempA0 = A[i + jToRow];
- tempA1 = A[i+1 + jToRow];
- //tempA2 = A[i+2 + jToRow];
- //tempA3 = A[i+3 + jToRow];
- //tempA4 = A[i+4 + jToRow];
- //tempA5 = A[i+5 + jToRow];
- //tempA6 = A[i+6 + jToRow];
- //tempA7 = A[i+7 + jToRow];
-
- tempC0 += tempA0 * B[(jToCol ) + (iToRow)];
- tempC1 += tempA0 * B[(jToCol+1 ) + (iToRow)];
- tempC2 += tempA0 * B[(jToCol+2 ) + (iToRow)];
- tempC3 += tempA0 * B[(jToCol+3 ) + (iToRow)];
- tempC4 += tempA0 * B[(jToCol+4 ) + (iToRow)];
- tempC5 += tempA0 * B[(jToCol+5 ) + (iToRow)];
- tempC6 += tempA0 * B[(jToCol+6 ) + (iToRow)];
- tempC7 += tempA0 * B[(jToCol+7 ) + (iToRow)];
- //tempC8 += tempA0 * B[(jToCol+8 ) + (iToRow)];
- //tempC9 += tempA0 * B[(jToCol+9 ) + (iToRow)];
- //tempC10 += tempA0 * B[(jToCol+10) + (iToRow)];
- //tempC11 += tempA0 * B[(jToCol+11) + (iToRow)];
- //tempC12 += tempA0 * B[(jToCol+12) + (iToRow)];
- //tempC13 += tempA0 * B[(jToCol+13) + (iToRow)];
- //tempC14 += tempA0 * B[(jToCol+14) + (iToRow)];
- //tempC15 += tempA0 * B[(jToCol+15) + (iToRow)];
-
- iToRow += 32;
- tempC0 += tempA1 * B[(jToCol ) + (iToRow)];
- tempC1 += tempA1 * B[(jToCol+1 ) + (iToRow)];
- tempC2 += tempA1 * B[(jToCol+2 ) + (iToRow)];
- tempC3 += tempA1 * B[(jToCol+3 ) + (iToRow)];
- tempC4 += tempA1 * B[(jToCol+4 ) + (iToRow)];
- tempC5 += tempA1 * B[(jToCol+5 ) + (iToRow)];
- tempC6 += tempA1 * B[(jToCol+6 ) + (iToRow)];
- tempC7 += tempA1 * B[(jToCol+7 ) + (iToRow)];
- //tempC8 += tempA1 * B[(jToCol+8 ) + (iToRow+32)];
- //tempC9 += tempA1 * B[(jToCol+9 ) + (iToRow+32)];
- //tempC10 += tempA1 * B[(jToCol+10) + (iToRow+32)];
- //tempC11 += tempA1 * B[(jToCol+11) + (iToRow+32)];
- //tempC12 += tempA1 * B[(jToCol+12) + (iToRow+32)];
- //tempC13 += tempA1 * B[(jToCol+13) + (iToRow+32)];
- //tempC14 += tempA1 * B[(jToCol+14) + (iToRow+32)];
- //tempC15 += tempA1 * B[(jToCol+15) + (iToRow+32)];
-
- //iToRow += 32;
- //tempC0 += tempA2 * B[(jToCol ) + (iToRow)];
- //tempC1 += tempA2 * B[(jToCol+1 ) + (iToRow)];
- //tempC2 += tempA2 * B[(jToCol+2 ) + (iToRow)];
- //tempC3 += tempA2 * B[(jToCol+3 ) + (iToRow)];
- //tempC4 += tempA2 * B[(jToCol+4 ) + (iToRow)];
- //tempC5 += tempA2 * B[(jToCol+5 ) + (iToRow)];
- //tempC6 += tempA2 * B[(jToCol+6 ) + (iToRow)];
- //tempC7 += tempA2 * B[(jToCol+7 ) + (iToRow)];
- //tempC8 += tempA2 * B[(jToCol+8 ) + (iToRow)];
- //tempC9 += tempA2 * B[(jToCol+9 ) + (iToRow)];
- //tempC10 += tempA2 * B[(jToCol+10) + (iToRow)];
- //tempC11 += tempA2 * B[(jToCol+11) + (iToRow)];
- //tempC12 += tempA2 * B[(jToCol+12) + (iToRow)];
- //tempC13 += tempA2 * B[(jToCol+13) + (iToRow)];
- //tempC14 += tempA2 * B[(jToCol+14) + (iToRow)];
- //tempC15 += tempA2 * B[(jToCol+15) + (iToRow)];
-
- //iToRow += 32;
- //tempC0 += tempA3 * B[(jToCol ) + (iToRow)];
- //tempC1 += tempA3 * B[(jToCol+1 ) + (iToRow)];
- //tempC2 += tempA3 * B[(jToCol+2 ) + (iToRow)];
- //tempC3 += tempA3 * B[(jToCol+3 ) + (iToRow)];
- //tempC4 += tempA3 * B[(jToCol+4 ) + (iToRow)];
- //tempC5 += tempA3 * B[(jToCol+5 ) + (iToRow)];
- //tempC6 += tempA3 * B[(jToCol+6 ) + (iToRow)];
- //tempC7 += tempA3 * B[(jToCol+7 ) + (iToRow)];
- //tempC8 += tempA3 * B[(jToCol+8 ) + (iToRow)];
- //tempC9 += tempA3 * B[(jToCol+9 ) + (iToRow)];
- //tempC10 += tempA3 * B[(jToCol+10) + (iToRow)];
- //tempC11 += tempA3 * B[(jToCol+11) + (iToRow)];
- //tempC12 += tempA3 * B[(jToCol+12) + (iToRow)];
- //tempC13 += tempA3 * B[(jToCol+13) + (iToRow)];
- //tempC14 += tempA3 * B[(jToCol+14) + (iToRow)];
- //tempC15 += tempA3 * B[(jToCol+15) + (iToRow)];
-
- //iToRow += 32;
- //tempC0 += tempA4 * B[(jToCol ) + (iToRow)];
- //tempC1 += tempA4 * B[(jToCol+1 ) + (iToRow)];
- //tempC2 += tempA4 * B[(jToCol+2 ) + (iToRow)];
- //tempC3 += tempA4 * B[(jToCol+3 ) + (iToRow)];
- //tempC4 += tempA4 * B[(jToCol+4 ) + (iToRow)];
- //tempC5 += tempA4 * B[(jToCol+5 ) + (iToRow)];
- //tempC6 += tempA4 * B[(jToCol+6 ) + (iToRow)];
- //tempC7 += tempA4 * B[(jToCol+7 ) + (iToRow)];
- //
- //iToRow += 32;
- //tempC0 += tempA5 * B[(jToCol ) + (iToRow)];
- //tempC1 += tempA5 * B[(jToCol+1 ) + (iToRow)];
- //tempC2 += tempA5 * B[(jToCol+2 ) + (iToRow)];
- //tempC3 += tempA5 * B[(jToCol+3 ) + (iToRow)];
- //tempC4 += tempA5 * B[(jToCol+4 ) + (iToRow)];
- //tempC5 += tempA5 * B[(jToCol+5 ) + (iToRow)];
- //tempC6 += tempA5 * B[(jToCol+6 ) + (iToRow)];
- //tempC7 += tempA5 * B[(jToCol+7 ) + (iToRow)];
- //
- //iToRow += 32;
- //tempC0 += tempA6 * B[(jToCol ) + (iToRow)];
- //tempC1 += tempA6 * B[(jToCol+1 ) + (iToRow)];
- //tempC2 += tempA6 * B[(jToCol+2 ) + (iToRow)];
- //tempC3 += tempA6 * B[(jToCol+3 ) + (iToRow)];
- //tempC4 += tempA6 * B[(jToCol+4 ) + (iToRow)];
- //tempC5 += tempA6 * B[(jToCol+5 ) + (iToRow)];
- //tempC6 += tempA6 * B[(jToCol+6 ) + (iToRow)];
- //tempC7 += tempA6 * B[(jToCol+7 ) + (iToRow)];
- //
- //iToRow += 32;
- //tempC0 += tempA7 * B[(jToCol ) + (iToRow)];
- //tempC1 += tempA7 * B[(jToCol+1 ) + (iToRow)];
- //tempC2 += tempA7 * B[(jToCol+2 ) + (iToRow)];
- //tempC3 += tempA7 * B[(jToCol+3 ) + (iToRow)];
- //tempC4 += tempA7 * B[(jToCol+4 ) + (iToRow)];
- //tempC5 += tempA7 * B[(jToCol+5 ) + (iToRow)];
- //tempC6 += tempA7 * B[(jToCol+6 ) + (iToRow)];
- //tempC7 += tempA7 * B[(jToCol+7 ) + (iToRow)];
-
- }
- C[j ] = tempC0;
- C[j + 1 ] = tempC1;
- C[j + 2 ] = tempC2;
- C[j + 3 ] = tempC3;
- C[j + 4 ] = tempC4;
- C[j + 5 ] = tempC5;
- C[j + 6 ] = tempC6;
- C[j + 7 ] = tempC7;
- //C[j + 8 ] = tempC8 ;
- //C[j + 9 ] = tempC9 ;
- //C[j + 10] = tempC10;
- //C[j + 11] = tempC11;
- //C[j + 12] = tempC12;
- //C[j + 13] = tempC13;
- //C[j + 14] = tempC14;
- //C[j + 15] = tempC15;
- }
-}
-
-
-
-//--------------------------------------------------------------------------
-// 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