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Home/ Questions/Q 4272110
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Editorial Team
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Editorial Team
Asked: May 21, 20262026-05-21T07:32:00+00:00 2026-05-21T07:32:00+00:00

I’m running a completely parallel matrix multiplication program on a Mac Pro with a

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I’m running a completely parallel matrix multiplication program on a Mac Pro with a Xeon processor. I create 8 threads (as many threads as cores), and there are no shared writing issues (no writing to the same locations). For some reason, my use of pthread_create and pthread_join is about twice as slow as using #pragma openmp.

There are no other differences in anything… same compile options, same number of threads in both cases, same code (except the pragma/pthread portions obviously), etc.

And the loops are very big — I’m not parallelizing small loops.

(I can’t really post the code because it’s school work.)

Why might this be happening? Doesn’t OpenMP use POSIX threads itself? How can it be faster?

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  1. Editorial Team
    Editorial Team
    2026-05-21T07:32:01+00:00Added an answer on May 21, 2026 at 7:32 am

    (edited)
    What is your main thread doing? Without seeing your code, I was guessing that the main thread is actually barely running, but still eating up clock-cycles while the pthreads finish, then it starts again and continues. Each time its given cycles there is overhead to pausing/continuing the other threads.

    In OpenMP, the main thread probably goes to sleep, and waits for a wake-up event when the parallel regions finish.

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