blob: 388763e59d162a77cf5fd3e40996adc25aaea37a [file] [log] [blame]
/* { dg-do run } */
#include <omp.h>
#include <stdio.h>
extern void abort (void);
#define NUMBER_OF_THREADS 4
int synch[NUMBER_OF_THREADS];
int work[NUMBER_OF_THREADS];
int result[NUMBER_OF_THREADS];
int
fn1 (int i)
{
return i * 2;
}
int
fn2 (int a, int b)
{
return a + b;
}
int
main ()
{
int i, iam, neighbor;
omp_set_num_threads (NUMBER_OF_THREADS);
#pragma omp parallel private(iam,neighbor) shared(work,synch)
{
iam = omp_get_thread_num ();
synch[iam] = 0;
#pragma omp barrier
/*Do computation into my portion of work array */
work[iam] = fn1 (iam);
/* Announce that I am done with my work. The first flush
* ensures that my work is made visible before synch.
* The second flush ensures that synch is made visible.
*/
#pragma omp flush(work,synch)
synch[iam] = 1;
#pragma omp flush(synch)
/* Wait for neighbor. The first flush ensures that synch is read
* from memory, rather than from the temporary view of memory.
* The second flush ensures that work is read from memory, and
* is done so after the while loop exits.
*/
neighbor = (iam > 0 ? iam : omp_get_num_threads ()) - 1;
while (synch[neighbor] == 0)
{
#pragma omp flush(synch)
}
#pragma omp flush(work,synch)
/* Read neighbor's values of work array */
result[iam] = fn2 (work[neighbor], work[iam]);
}
/* output result here */
for (i = 0; i < NUMBER_OF_THREADS; i++)
{
neighbor = (i > 0 ? i : NUMBER_OF_THREADS) - 1;
if (result[i] != i * 2 + neighbor * 2)
abort ();
}
return 0;
}