* Threadprivate is tested in 2 ways:
* 1. The global variable declared as threadprivate should have
* local copy for each thread. Otherwise race condition and
* wrong result.
* 2. If the value of local copy is retained for the two adjacent
* parallel regions
*/
#include "omp_testsuite.h"
#include <stdlib.h>
#include <stdio.h>
static int sum0=0;
static int myvalue = 0;
#pragma omp threadprivate(sum0)
#pragma omp threadprivate(myvalue)
int test_omp_threadprivate()
{
int sum = 0;
int known_sum;
int i;
int iter;
int *data;
int size;
int num_failed = 0;
int my_random;
omp_set_dynamic(0);
#pragma omp parallel private(i)
{
sum0 = 0;
#pragma omp for
for (i = 1; i <= LOOPCOUNT; i++) {
sum0 = sum0 + i;
}
#pragma omp critical
{
sum = sum + sum0;
}
}
known_sum = (LOOPCOUNT * (LOOPCOUNT + 1)) / 2;
if (known_sum != sum ) {
fprintf (stderr, " known_sum = %d, sum = %d\n", known_sum, sum);
}
omp_set_dynamic(0);
#pragma omp parallel
{
#pragma omp master
{
size=omp_get_num_threads();
data=(int*) malloc(size*sizeof(int));
}
}
srand(45);
for (iter = 0; iter < 100; iter++) {
my_random = rand();
called inside serial region*/
and the array with my_random+rank */
#pragma omp parallel
{
int rank;
rank = omp_get_thread_num ();
myvalue = data[rank] = my_random + rank;
}
value of "myvalue" is retained */
#pragma omp parallel reduction(+:num_failed)
{
int rank;
rank = omp_get_thread_num ();
num_failed = num_failed + (myvalue != data[rank]);
if(myvalue != data[rank]) {
fprintf (stderr, " myvalue = %d, data[rank]= %d\n",
myvalue, data[rank]);
}
}
}
free (data);
return (known_sum == sum) && !num_failed;
}
int main()
{
int i;
int num_failed=0;
for(i = 0; i < REPETITIONS; i++) {
if(!test_omp_threadprivate()) {
num_failed++;
}
}
return num_failed;
}