Why is a multithreaded mex function slower when I used a parallel pool?

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When I run a multithreaded mex function after having used a parallel pool, my function runs a lot slower (10-20x slowdown). Also, the more threads, the slower the function becomes.
Shutting down the pool does not help.
Rebooting Matlab restores the original speed (and scalability) of the mex Function.
  4 Comments
Bart Vermeulen
Bart Vermeulen on 15 Jan 2016
Even after shutting down the parallel pool, the mex file runs much slower
Walter Roberson
Walter Roberson on 15 Jan 2016
I have a vague memory that someone else might have reported something like this a few years ago, but I am not sure I could find the posting. This is something I would recommend creating a support case for.

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