blob: b7bd935748f5a1212e858c52dfa9b19e03848942 [file] [log] [blame]
// { dg-do run }
// { dg-additional-options -DMEM_SHARED { target offload_device_shared_as } }
#include <stdlib.h>
#include <time.h>
#include <unordered_set>
#include <algorithm>
#define N 4000
#define MAX 16384
void init (int data[])
{
std::unordered_set<int> _set;
for (int i = 0; i < N; ++i)
{
// Avoid duplicates in data array.
do
data[i] = rand () % MAX;
while (_set.count (data[i]) != 0);
_set.insert (data[i]);
}
}
bool validate (int sum, int data[])
{
int total = 0;
for (int i = 0; i < N; ++i)
total += data[i];
return sum == total;
}
int main (void)
{
int data[N];
std::unordered_set<int> _set;
int sum = 0;
srand (time (NULL));
init (data);
#pragma omp target data map (to: data[:N]) map (alloc: _set)
{
#pragma omp target
{
#ifndef MEM_SHARED
new (&_set) std::unordered_set<int> ();
#endif
for (int i = 0; i < N; ++i)
_set.insert (data[i]);
}
#pragma omp target teams distribute parallel for reduction (+:sum)
for (int i = 0; i < MAX; ++i)
if (_set.count (i) > 0)
sum += i;
#ifndef MEM_SHARED
#pragma omp target
_set.~unordered_set ();
#endif
}
bool ok = validate (sum, data);
return ok ? 0 : 1;
}