/*------------------------------------------------------------------*/
int main(int argc, char* argv[]) {
long thread;
pthread_t* thread_handles;
double start, finish;
if (argc != 4) Usage(argv[0]);
thread_count = strtol(argv[1], NULL, 10);
m = strtol(argv[2], NULL, 10);
n = strtol(argv[3], NULL, 10);
# ifdef DEBUG
printf("thread_count = %d, m = %d, n = %d\n", thread_count, m, n);
# endif
thread_handles = malloc(thread_count*sizeof(pthread_t));
sem_init(&sem, 0, 1); /* Initial value is 1 */
A = malloc(m*n*sizeof(double));
x = malloc(n*sizeof(double));
y = malloc(m*sizeof(double));
srandom(1);
Gen_matrix(A, m, n);
# ifdef DEBUG
Print_matrix("We generated", A, m, n);
# endif
Gen_vector(x, n);
# ifdef DEBUG
Print_vector("We generated", x, n);
# endif
GET_TIME(start);
for (thread = 0; thread < thread_count; thread++)
pthread_create(&thread_handles[thread], NULL,
Pth_mat_vect, (void*) thread);
for (thread = 0; thread < thread_count; thread++)
pthread_join(thread_handles[thread], NULL);
GET_TIME(finish);
# ifdef DEBUG
Print_vector("The product is", y, m);
# endif
printf("Elapsed time = %e seconds\n", finish - start);
free(A);
free(x);
free(y);
sem_destroy(&sem);
free(thread_handles);
return 0;
} /* main */
/*------------------------------------------------------------------*/
int main(int argc, char* argv[]) {
int thread_count;
int m, n;
double* A;
double* x;
double* y;
Get_args(argc, argv, &thread_count, &m, &n);
A = malloc(m*n*sizeof(double));
x = malloc(n*sizeof(double));
y = malloc(m*sizeof(double));
# ifdef DEBUG
Read_matrix("Enter the matrix", A, m, n);
Print_matrix("We read", A, m, n);
Read_vector("Enter the vector", x, n);
Print_vector("We read", x, n);
# else
Gen_matrix(A, m, n);
/* Print_matrix("We generated", A, m, n); */
Gen_vector(x, n);
/* Print_vector("We generated", x, n); */
# endif
Omp_mat_vect(A, x, y, m, n, thread_count);
# ifdef DEBUG
Print_vector("The product is", y, m);
# else
/* Print_vector("The product is", y, m); */
# endif
free(A);
free(x);
free(y);
return 0;
} /* main */
int main(int argc, char const *argv[])
{
int matrixSize = strtol(argv[1], NULL, 10);
int coreCount = omp_get_num_procs();
int threadCount = strtol(argv[2], NULL, 10);
double startTime, finishTime;
double **a_augmented, **a; // n x n Matrix as a 2D array
double diagonalElement, bestElement, factor;
int bestRowIndex = 0; // used in partial pivoting (index of row having greatest absolute value)
int i, j, k; // for loop counters
double *x; // Solutions
double *b;
printf("Matrix Size: %d\n", matrixSize);
printf("Number of Cores: %d\n", coreCount);
#pragma omp parallel num_threads(threadCount)
{
if (omp_get_thread_num() == 0)
printf("Thread Count: %d\n", omp_get_num_threads());
}
// Start Timer
startTime = omp_get_wtime();
// Allocate memory
// a_augmented will be the augmented matrix
a_augmented = (double **) malloc(matrixSize * sizeof(double *));
// a will be the randomly generated matrix
a = (double **) malloc(matrixSize * sizeof(double *));
x = (double *) malloc(matrixSize * sizeof(double));
b = (double *) malloc(matrixSize * sizeof(double));
if (DEBUG == 1)
Read_matrix(&a, &a_augmented, matrixSize);
else
Gen_matrix(&a, &a_augmented, matrixSize, threadCount);
// a will not be modified after this point
// Only the a_augmented will be modified
// Display generated matrix:
displayMatrix(a, matrixSize);
for (i = 0; i < matrixSize - 1; ++i)
{
// Partial Pivoting:
// the algorithm selects the entry with largest absolute value from
// the column of the matrix that is currently being considered as
// the pivot element.
// Diagonal Element
diagonalElement = a_augmented[i][i];
// debug_printf("diagonalElement%d = %f\n", i, diagonalElement);
// Find the best row (the one with the largest absolute value in the
// column being worked on)
bestRowIndex = i;
bestElement = diagonalElement;
for (j = i + 1; j < matrixSize; ++j)
{
if (fabs(a_augmented[j][i]) > fabs(bestElement))
{
bestRowIndex = j;
bestElement = a_augmented[j][i];
// debug_printf("bestElement = %f\n", a_augmented[j][i]);
}
}
// Swap the rows
if (i != bestRowIndex)
{
// debug_printf("Row %d needs to be swapped with Row %d\n", i, bestRowIndex );
swapRow(&a_augmented[i], &a_augmented[bestRowIndex]);
// Update the diagonal element
diagonalElement = a_augmented[i][i];
// debug_printf("diagonalElement%d = %f\n", i, diagonalElement);
// displayMatrix(a_augmented, matrixSize);
}
// End of Partial Pivoting
// To make the diagonal element 1,
// divide the whole row with the diagonal element
// debug_printf("Row %d = Row %d / %f\n", i, i, diagonalElement);
for (j = 0; j < matrixSize + 1; ++j)
{
a_augmented[i][j] = a_augmented[i][j] / diagonalElement;
}
// Force the diagonal to be 1 (to avoid any roundoff errors in dividing above)
a_augmented[i][i] = 1;
diagonalElement = 1;
// debug_printf("Annihilation of column %d...\n", i);
// Annihilation: Zero all the elements in the column below the diagonal element
#pragma omp parallel for num_threads(threadCount) \
default(none) private(j, factor, k) shared(i, matrixSize, a_augmented)
for (j = i + 1; j < matrixSize; ++j)
{
// sleep(1);
factor = a_augmented[j][i];
if (factor != 0)
{
// debug_printf("Row %d = Row %d - %f*Row %d\n", j, j, factor, i);
for (k = i; k < matrixSize + 1; ++k)
{
a_augmented[j][k] = a_augmented[j][k] - factor * a_augmented[i][k];
}
// displayAugmentedMatrix(a, matrixSize);
}
}
}
// Make the diagonal element of the last row 1
a_augmented[matrixSize-1][matrixSize] = a_augmented[matrixSize-1][matrixSize] / a_augmented[matrixSize-1][matrixSize-1];
a_augmented[matrixSize-1][matrixSize-1] = 1;
// Display augmented matrix:
displayMatrix(a_augmented, matrixSize);
// Back substitution (parallelized)
backSubstitution(&a_augmented, matrixSize, threadCount);
// Record the finish time
finishTime = omp_get_wtime();
displayMatrix(a_augmented, matrixSize);
// Matrix X from augmented matrix
// Vector b from matrix A
for (i = 0; i < matrixSize; ++i)
{
x[i] = a_augmented[i][matrixSize];
b[i] = a[i][matrixSize];
}
// Find I^2 norm
iSquaredNorm(&a, x, b, matrixSize, threadCount);
// Print the time taken
printf("Time taken = %f\n", finishTime - startTime);
// Free memory
for (i = 0; i < matrixSize; ++i)
{
free(a[i]);
free(a_augmented[i]);
}
free(a);
free(a_augmented);
free(x);
free(b);
return 0;
}