1 /******************************************************************************
2 * OpenMP Example - Matrix-vector multiplication - C/C++ Version
5 * This example multiplies all row i elements of matrix A with vector
6 * element b(i) and stores the summed products in vector c(i). A total is
7 * maintained for the entire matrix. Performed by using the OpenMP loop
8 * work-sharing construct. The update of the shared global total is
9 * serialized by using the OpenMP critical directive.
10 * SOURCE: Blaise Barney 5/99
12 ******************************************************************************/
22 float A
[SIZE
][SIZE
], b
[SIZE
], c
[SIZE
], total
;
27 for (i
=0; i
< SIZE
; i
++)
29 for (j
=0; j
< SIZE
; j
++)
30 A
[i
][j
] = (j
+1) * 1.0;
34 printf("\nStarting values of matrix A and vector b:\n");
35 for (i
=0; i
< SIZE
; i
++)
38 for (j
=0; j
< SIZE
; j
++)
39 printf("%.1f ",A
[i
][j
]);
40 printf(" b[%d]= %.1f\n",i
,b
[i
]);
42 printf("\nResults by thread/row:\n");
44 /* Create a team of threads and scope variables */
45 #pragma omp parallel shared(A,b,c,total) private(tid,i)
47 tid
= omp_get_thread_num();
49 /* Loop work-sharing construct - distribute rows of matrix */
50 #pragma omp for private(j)
51 for (i
=0; i
< SIZE
; i
++)
53 for (j
=0; j
< SIZE
; j
++)
54 c
[i
] += (A
[i
][j
] * b
[i
]);
56 /* Update and display of running total must be serialized */
60 printf(" thread %d did row %d\t c[%d]=%.2f\t",tid
,i
,i
,c
[i
]);
61 printf("Running total= %.2f\n",total
);
64 } /* end of parallel i loop */
66 } /* end of parallel construct */
68 printf("\nMatrix-vector total - sum of all c[] = %.2f\n\n",total
);