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//**************************************************************************
// 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 space=lda/ncores;
int max= space*coreid+space;
data_t temp=0;
data_t temp1=0;
data_t temp2=0;
data_t temp3=0;
data_t temp4=0;
data_t temp_1=0;
data_t temp1_1=0;
data_t temp2_1=0;
data_t temp3_1=0;
data_t temp4_1=0;
data_t temp_2=0;
data_t temp1_2=0;
data_t temp2_2=0;
data_t temp3_2=0;
data_t temp4_2=0;
data_t temp_3=0;
data_t temp1_3=0;
data_t temp2_3=0;
data_t temp3_3=0;
data_t temp4_3=0;
if (coreid!=ncores-1){
//main loop
for (i=space*coreid;i<max/4*4;i+=4)
{
for(j=0;j<lda;j+=4)
{
temp1=C[j+i*lda];
temp2=C[j+1+i*lda];
temp3=C[j+2+i*lda];
temp4=C[j+3+i*lda];
temp1_1=C[j+(i+1)*lda];
temp2_1=C[j+1+(i+1)*lda];
temp3_1=C[j+2+(i+1)*lda];
temp4_1=C[j+3+(i+1)*lda];
temp1_2=C[j+(i+2)*lda];
temp2_2=C[j+1+(i+2)*lda];
temp3_2=C[j+2+(i+2)*lda];
temp4_2=C[j+3+(i+2)*lda];
temp1_3=C[j+(i+3)*lda];
temp2_3=C[j+1+(i+3)*lda];
temp3_3=C[j+2+(i+3)*lda];
temp4_3=C[j+3+(i+3)*lda];
for (k=0;k<lda;k++)
{
temp=A[k+i*lda];
temp1+=temp*B[j+k*lda];
temp2+=temp*B[j+1+k*lda];
temp3+=temp*B[j+2+k*lda];
temp4+=temp*B[j+3+k*lda];
temp_1=A[k+(i+1)*lda];
temp1_1+=temp_1*B[j+k*lda];
temp2_1+=temp_1*B[j+1+k*lda];
temp3_1+=temp_1*B[j+2+k*lda];
temp4_1+=temp_1*B[j+3+k*lda];
temp_2=A[k+(i+2)*lda];
temp1_2+=temp_2*B[j+k*lda];
temp2_2+=temp_2*B[j+1+k*lda];
temp3_2+=temp_2*B[j+2+k*lda];
temp4_2+=temp_2*B[j+3+k*lda];
temp_3=A[k+(i+3)*lda];
temp1_3+=temp_3*B[j+k*lda];
temp2_3+=temp_3*B[j+1+k*lda];
temp3_3+=temp_3*B[j+2+k*lda];
temp4_3+=temp_3*B[j+3+k*lda];
}
C[j+i*lda]=temp1;
C[j+1+i*lda]=temp2;
C[j+2+i*lda]=temp3;
C[j+3+i*lda]=temp4;
C[j+(i+1)*lda]=temp1_1;
C[j+1+(i+1)*lda]=temp2_1;
C[j+2+(i+1)*lda]=temp3_1;
C[j+3+(i+1)*lda]=temp4_1;
C[j+(i+2)*lda]=temp1_2;
C[j+1+(i+2)*lda]=temp2_2;
C[j+2+(i+2)*lda]=temp3_2;
C[j+3+(i+2)*lda]=temp4_2;
C[j+(i+3)*lda]=temp1_3;
C[j+1+(i+3)*lda]=temp2_3;
C[j+2+(i+3)*lda]=temp3_3;
C[j+3+(i+3)*lda]=temp4_3;
}
}
}
//second core
else{
for (i=space*coreid;i<lda/4*4;i+=4)
{
for(j=0;j<lda;j+=4)
{
temp1=C[j+i*lda];
temp2=C[j+1+i*lda];
temp3=C[j+2+i*lda];
temp4=C[j+3+i*lda];
temp1_1=C[j+(i+1)*lda];
temp2_1=C[j+1+(i+1)*lda];
temp3_1=C[j+2+(i+1)*lda];
temp4_1=C[j+3+(i+1)*lda];
temp1_2=C[j+(i+2)*lda];
temp2_2=C[j+1+(i+2)*lda];
temp3_2=C[j+2+(i+2)*lda];
temp4_2=C[j+3+(i+2)*lda];
temp1_3=C[j+(i+3)*lda];
temp2_3=C[j+1+(i+3)*lda];
temp3_3=C[j+2+(i+3)*lda];
temp4_3=C[j+3+(i+3)*lda];
for (k=0;k<lda;k++)
{
temp=A[k+i*lda];
temp1+=temp*B[j+k*lda];
temp2+=temp*B[j+1+k*lda];
temp3+=temp*B[j+2+k*lda];
temp4+=temp*B[j+3+k*lda];
temp_1=A[k+(i+1)*lda];
temp1_1+=temp_1*B[j+k*lda];
temp2_1+=temp_1*B[j+1+k*lda];
temp3_1+=temp_1*B[j+2+k*lda];
temp4_1+=temp_1*B[j+3+k*lda];
temp_2=A[k+(i+2)*lda];
temp1_2+=temp_2*B[j+k*lda];
temp2_2+=temp_2*B[j+1+k*lda];
temp3_2+=temp_2*B[j+2+k*lda];
temp4_2+=temp_2*B[j+3+k*lda];
temp_3=A[k+(i+3)*lda];
temp1_3+=temp_3*B[j+k*lda];
temp2_3+=temp_3*B[j+1+k*lda];
temp3_3+=temp_3*B[j+2+k*lda];
temp4_3+=temp_3*B[j+3+k*lda];
}
C[j+i*lda]=temp1;
C[j+1+i*lda]=temp2;
C[j+2+i*lda]=temp3;
C[j+3+i*lda]=temp4;
C[j+(i+1)*lda]=temp1_1;
C[j+1+(i+1)*lda]=temp2_1;
C[j+2+(i+1)*lda]=temp3_1;
C[j+3+(i+1)*lda]=temp4_1;
C[j+(i+2)*lda]=temp1_2;
C[j+1+(i+2)*lda]=temp2_2;
C[j+2+(i+2)*lda]=temp3_2;
C[j+3+(i+2)*lda]=temp4_2;
C[j+(i+3)*lda]=temp1_3;
C[j+1+(i+3)*lda]=temp2_3;
C[j+2+(i+3)*lda]=temp3_3;
C[j+3+(i+3)*lda]=temp4_3;
}
}
}
}
//--------------------------------------------------------------------------
// 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);
}
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