I've added OpenMP to an existing code base in order to parallelize a for loop. Several variables are created inside the scope of the parallel for region, including a pointer:
#pragma omp parallel for
for (int i = 0; i < n; i++){
[....]
Model *lm;
lm->myfunc();
lm->anotherfunc();
[....]
}
In the resulting output files I noticed inconsistencies, presumably caused by a race condition. I ultimately resolved the race condition by using an omp critical. My question remains, though: is lm private to each thread, or is it shared?