Imported gcc-4.4.3

[msp430-gcc.git] / libgomp / testsuite / libgomp.c / omp_matvec.c

diff --git a/libgomp/testsuite/libgomp.c/omp_matvec.c b/libgomp/testsuite/libgomp.c/omp_matvec.c
new file mode 100644 (file)
index 0000000..12b8c68
--- /dev/null
+++ b/libgomp/testsuite/libgomp.c/omp_matvec.c
@@ -0,0 +1,72 @@
+/******************************************************************************
+* OpenMP Example - Matrix-vector multiplication - C/C++ Version
+* FILE: omp_matvec.c
+* DESCRIPTION:
+*   This example multiplies all row i elements of matrix A with vector
+*   element b(i) and stores the summed products in vector c(i).  A total is
+*   maintained for the entire matrix.  Performed by using the OpenMP loop
+*   work-sharing construct.  The update of the shared global total is
+*   serialized by using the OpenMP critical directive.
+* SOURCE: Blaise Barney  5/99
+* LAST REVISED:
+******************************************************************************/
+
+#include <omp.h>
+#include <stdio.h>
+#define SIZE 10
+
+
+main ()
+{
+
+float A[SIZE][SIZE], b[SIZE], c[SIZE], total;
+int i, j, tid;
+
+/* Initializations */
+total = 0.0;
+for (i=0; i < SIZE; i++)
+  {
+  for (j=0; j < SIZE; j++)
+    A[i][j] = (j+1) * 1.0;
+  b[i] = 1.0 * (i+1);
+  c[i] = 0.0;
+  }
+printf("\nStarting values of matrix A and vector b:\n");
+for (i=0; i < SIZE; i++)
+  {
+  printf("  A[%d]= ",i);
+  for (j=0; j < SIZE; j++)
+    printf("%.1f ",A[i][j]);
+  printf("  b[%d]= %.1f\n",i,b[i]);
+  }
+printf("\nResults by thread/row:\n");
+
+/* Create a team of threads and scope variables */
+#pragma omp parallel shared(A,b,c,total) private(tid,i)
+  {
+  tid = omp_get_thread_num();
+
+/* Loop work-sharing construct - distribute rows of matrix */
+#pragma omp for private(j)
+  for (i=0; i < SIZE; i++)
+    {
+    for (j=0; j < SIZE; j++)
+      c[i] += (A[i][j] * b[i]);
+
+    /* Update and display of running total must be serialized */
+    #pragma omp critical
+      {
+      total = total + c[i];
+      printf("  thread %d did row %d\t c[%d]=%.2f\t",tid,i,i,c[i]);
+      printf("Running total= %.2f\n",total);
+      }
+
+    }   /* end of parallel i loop */
+
+  } /* end of parallel construct */
+
+printf("\nMatrix-vector total - sum of all c[] = %.2f\n\n",total);
+
+  return 0;
+}
+