How to evaluate the computation time of some codes in parallel properly?

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Slivery 2022 年 8 月 2 日
コメント済み: Slivery 2022 年 8 月 4 日
I need to evaluate the computation time of an algorithm in multiple runs (e.g., 21 runs). To reduce the time, I use parfor to conduct 21 runs in parallel. However, I found that the compuation time of algorithms in parfor is very unstable, especially when the computation time of the algorithm is short. I use tic and toc in the parfor to record computation time.
Is there any other method in matlab to evaluate the computation time in parallel more properly ? Your help is really appreciated!
  2 件のコメント
Slivery 2022 年 8 月 3 日
Thanks a lot for your help! I will try these methods.



Jeffrey Clark
Jeffrey Clark 2022 年 8 月 3 日
@Slivery, when using the cputime difference method don't forget to divide by 21 (the number of executions being averaged). Depending on how short each computation is you may still have a lot of MATLAB and threading overhead time included in your timing. In that case add a wrapper for your function to simply loop N times and then include N in your division.

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