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sources's Issues

scalability on number of cores/threads?

Are there any known issues on scalability in terms of number of
cores/threads for OpenMP?

Let's say if we have 96 threads on a single server - would this scale up?
We're using some R libraries that use OpenMP
and with higher thread counts see some delays and generally
unexpected issues with scaling things up.

omp parallel for raises segmentation fault(core dumped) when the number of iterations in the for loop exceed a certain amount.

I have been writing a code and have tried to parallelize it using #pragma omp parallel for. Everything works fine till about 100000 iterations but whe i increase the number of iterations to about 200000, it compiles without errors but while running shows the error "segmentation fault(core dumped) " immidiately.
I have been told that it might be local/global variable issue of the iteration variables but i think it is unlikely because it runs just fine if the number of iteration is lesser.
Also i have been told that it might be stack issue which i have no idea about

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