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matrix.c
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matrix.c
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#include "benchmark.h"
/*Function: matrix_init
Initialize memory block for matrix benchmarking.
Parameters:
blksize - Size of memory to be initialized(/bytes).
memblk - Pointer to memory block.
seed - Actual values are assigned according to seed.
p - pointer to <mat_params>
Returns:
Matrix size
Description:
the matrices are of the same size -- N*N, and N is determined by the size of the memory block.
*/
uint32_t matrix_init(uint32_t blksize, DATA_TYPE *memblk, sint32_t seed, mat_params *p){
//printf("matrix_init...#-#\n");
MAT_DATA *A;
MAT_DATA *B;
MAT_DATA *C;
uint32_t N = 0;
uint32_t i = 0, j = 0, k = 0;
uint32_t tmp = 0;
float div = seed * 1.3;
#if DATA_DIM==1
N = blksize/(sizeof(MAT_DATA) * 3);
A = (MAT_DATA *)(memblk);
B = (MAT_DATA *)(A + N);
C = (MAT_DATA *)(B + N);
#if TEST_TYPE==INT_TYPE
for(i = 0; i < N; i++){
tmp = (seed ^ i);
A[i] = (tmp ) | i;
B[i] = (tmp ) | tmp;
}
#else
for(i = 0; i < N; i++){
tmp = (seed ^ i);
A[i] = ((tmp << 2) | tmp) / div;
B[i] = ((tmp << 2) | (tmp - 1)) / div;
}
#endif
#elif DATA_DIM==2
i = 0, j = 0;
uint32_t tmp2;
while(j < blksize){
i++;
j=i*i*sizeof(MAT_DATA)*3;
}
N = i - 1;
A = (MAT_DATA *)(memblk);
B = (MAT_DATA *)(A + N * N);
C = (MAT_DATA *)(B + N * N);
#if TEST_TYPE==INT_TYPE
for(i = 0; i < N; i++){
tmp = (seed ^ i);
for(j = 0; j < N; j++){
tmp2 = (seed ^ j);
A[i * N + j] = (tmp2 ) | tmp2;
B[i * N + j] = (tmp2 ) | tmp;
}
}
#else
for(i = 0; i < N; i++){
tmp = (seed ^ i);
for(j = 0; j < N; j++){
tmp2 = (seed ^ j);
A[i * N + j] = ((tmp2 << 2) | tmp2) / div;
B[i * N + j] = ((tmp2 << 2) | tmp) / div;
}
}
#endif
#elif DATA_DIM==3
i = 0, j = 0, k = 0;
uint32_t tmp2, tmp3;
while(j < blksize){
i++;
j = i * i * i * sizeof(MAT_DATA) * 3;
}
N = i - 1;
A = (MAT_DATA *)(memblk);
B = (MAT_DATA *)(A + N * N * N);
C = (MAT_DATA *)(B + N * N * N);
#if TEST_TYPE==INT_TYPE
for(i = 0; i < N; i++){
tmp = (seed ^ i);
for(j = 0; j < N; j++){
tmp2 = (seed ^ j);
for(k = 0; k < N; k++){
tmp3 = (seed ^ k);
A[i * N * N + j * N + k] = (tmp3 ) | tmp;
B[i * N * N + j * N + k] = (tmp3 ) | tmp2;
}
}
}
#else
for(i = 0; i < N; i++){
tmp = (seed ^ i);
for(j = 0; j < N; j++){
tmp2 = (seed ^ j);
for(k = 0; k < N; k++){
tmp3 = (seed ^ k);
A[i * N * N + j * N + k] = ((tmp3 << 2) | tmp) / div;
B[i * N * N + j * N + k] = ((tmp3 << 2) | tmp2) / div;
}
}
}
#endif
#endif
p->N = N;
p->A = A;
p->B = B;
p->C = C;
return N;
}
/*Function: matrix_add_const
Add a constant to all elements of orignal matrix A.
Parameters:
N - Matrix Dimension
A - Original matrix
val - constant
Note:
result is stored in A.
*/
void matrix_add_const(uint32_t N, DATA_TYPE *A, DATA_TYPE val){
//printf("matrix_add_const...(*-*)\n");
#if CALCULATE_ACCURACY==NORMAL
#if DATA_DIM==1
for(int i = 0; i < N; i++){
A[i] += val;
}
#elif DATA_DIM==2
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
A[i * N + j] += val;
}
}
#elif DATA_DIM==3
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
for(int k = 0; k < N; k++){
A[i * N * N + j * N + k] += val;
}
}
}
#endif
#elif CALCULATE_ACCURACY==LOW_ACCURACY
#if DATA_DIM==1
for(int i = 0; i < N; i++){
A[i] = (float)A[i]+(float)val;
}
#elif DATA_DIM==2
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
A[i * N + j] = (float)A[i * N + j]+(float)val;
}
}
#elif DATA_DIM==3
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
for(int k = 0; k < N; k++){
A[i * N * N + j * N + k] = (float)A[i * N * N + j * N + k]+(float)val;
}
}
}
#endif
#elif CALCULATE_ACCURACY==HIGH_ACCURACY
#if DATA_DIM==1
for(int i = 0; i < N; i++){
A[i] = (double)A[i]+(double)val;
}
#elif DATA_DIM==2
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
A[i * N + j] = (double)A[i * N + j]+(double)val;
}
}
#elif DATA_DIM==3
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
for(int k = 0; k < N; k++){
A[i * N * N + j * N + k] = (double)A[i * N * N + j * N + k]+(double)val;
}
}
}
#endif
#endif
}
/*Function: matrix_mul_const
Multiply a constant to all elements of orignal matrix A
Parameters:
N - Matrix Dimension
A - original matrix
val - constant
C - result
*/
void matrix_mul_const(uint32_t N, DATA_TYPE *A, DATA_TYPE val, DATA_TYPE *C){
//printf("matrix_mul_const...(*-*)\n");
/*for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
C[i * N + j] = A[i * N + j] * val;
}
}
*/
#if CALCULATE_ACCURACY==NORMAL
#if DATA_DIM==1
for(int i = 0; i < N; i++){
C[i] = A[i] * val;
}
#elif DATA_DIM==2
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
C[i * N + j] = A[i * N + j] * val;
}
}
#elif DATA_DIM==3
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
for(int k = 0; k < N; k++){
C[i * N * N + j * N + k] = A[i * N * N + j * N + k] * val;
}
}
}
#endif
#elif CALCULATE_ACCURACY==LOW_ACCURACY
#if DATA_DIM==1
for(int i = 0; i < N; i++){
C[i] = (float)A[i] * (float)val;
}
#elif DATA_DIM==2
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
C[i * N + j] = (float)A[i * N + j] * (float)val;
}
}
#elif DATA_DIM==3
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
for(int k = 0; k < N; k++){
C[i * N * N + j * N + k] = (float)A[i * N * N + j * N + k] * (float)val;
}
}
}
#endif
#elif CALCULATE_ACCURACY==HIGH_ACCURACY
#if DATA_DIM==1
for(int i = 0; i < N; i++){
C[i] = (double)A[i] * (double)val;
}
#elif DATA_DIM==2
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
C[i * N + j] = (double)A[i * N + j] * (double)val;
}
}
#elif DATA_DIM==3
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
for(int k = 0; k < N; k++){
C[i * N * N + j * N + k] = (double)A[i * N * N + j * N + k] * (double)val;
}
}
}
#endif
#endif
}
/*Function: matrix_mul_matrix
Multiply a matrix A by a matrix B
Parameters:
N - Matrix Dimension
A - operand
B - operand
C - result
*/
void matrix_mul_matrix(uint32_t N, DATA_TYPE *A, DATA_TYPE *B, DATA_TYPE *C){
//printf("matrix_mul_matrix...(*-*)\n");
#if CALCULATE_ACCURACY==NORMAL
#if DATA_DIM==1
C[0] = 0;
for(int i = 0; i < N; i++){
C[0] += A[i] * B[i];
}
#elif DATA_DIM==2
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
C[i * N + j] = 0;
for(int k = 0; k < N; k++){
C[i * N + j] += A[i * N + k] * B[k * N + j];
}
}
}
#elif DATA_DIM==3
// TODO:
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
for(int k = 0; k < N; k++){
C[i*N*N + j*N + k] = 0;
for(int l = 0; l < N; l++){
C[i*N*N + j*N +k] += A[i*N*N + j*N + l] * B[i*N*N + l*N + j];
}
}
}
}
#endif
#elif CALCULATE_ACCURACY==LOW_ACCURACY
#if DATA_DIM==1
C[0] = 0;
for(int i = 0; i < N; i++){
C[0] = (float)C[0] + (float)A[i] * (float)B[i];
}
#elif DATA_DIM==2
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
C[i * N + j] = 0;
for(int k = 0; k < N; k++){
C[i * N + j] =(float)C[i * N + j] + (float)A[i * N + k] * (float)B[k * N + j];
}
}
}
#elif DATA_DIM==3
// TODO:
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
for(int k = 0; k < N; k++){
C[i*N*N + j*N + k] = 0;
for(int l = 0; l < N; l++){
C[i*N*N + j*N +k] = (float)C[i*N*N + j*N +k] + (float)A[i*N*N + j*N + l] * (float)B[i*N*N + l*N + j];
}
}
}
}
#endif
#elif CALCULATE_ACCURACY==HIGH_ACCURACY
#if DATA_DIM==1
C[0] = 0;
for(int i = 0; i < N; i++){
C[0] = (double)C[0] + (double)A[i] * (double)B[i];
}
#elif DATA_DIM==2
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
C[i * N + j] = 0;
for(int k = 0; k < N; k++){
C[i * N + j] =(double)C[i * N + j] + (double)A[i * N + k] * (double)B[k * N + j];
}
}
}
#elif DATA_DIM==3
// TODO:
for(int i = 0; i < N; i++){
for(int j = 0; j < N; j++){
for(int k = 0; k < N; k++){
C[i*N*N + j*N + k] = 0;
for(int l = 0; l < N; l++){
C[i*N*N + j*N +k] = (double)C[i*N*N + j*N +k] + (double)A[i*N*N + j*N + l] * (double)B[i*N*N + l*N + j];
}
}
}
}
#endif
#endif
}
/*Function: app_matrix_mul_matrix
Approximately multiply a matrix A by a matrix B
Parameters:
N - Matrix Dimension
A - operand
B - operand
C - result
*/
/*
void app_matrix_mul_matrix(uint32_t N, DATA_TYPE *A, DATA_TYPE *B, DATA_TYPE *C){
}
*/