h = 1.0 / n;
#pragma omp parallel for private(x) shared(n, h, area)
for (i = 1; i <= n; i++)
{
x = h * (i - 0.5);
#pragma atomic
area += (4.0 / (1.0 + x*x));
}
pi = h * area;
In this example, each threads execute a subset of the iteration count and they accumulate atomically into the shared variable area
, which ensures that there are no lost updates. We can use the #pragma atomic
in here because the given operation (+=
) can be done atomically, which simplifies the readability compared to the usage of the #pragma omp critical
.