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parallel pool to increase code speed

14 vues (au cours des 30 derniers jours)
Ahmed Abdulla
Ahmed Abdulla le 22 Juin 2022
I have a very long code that uses a lot of functions which I have written, currently the code takes around 3 minutes to run. I have read about parallel pool but im not sure how to use it and if it would be a good option to use in my case to improve the running time of my code.
I have tried turning on parallel pool from the bottom left of the matlab menu and running my code but there was no differenece and from the task manager I can tell the same CPU usage is being allocated. Any advice is appreciated
  3 commentaires
Ahmed Abdulla
Ahmed Abdulla le 22 Juin 2022
@KSSV Yes I have already used profile and got rid of all unneeded loops and vectorised what I can and now i got to parralel pool
KSSV
KSSV le 22 Juin 2022
We have to look into the code to suggest.

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Raymond Norris
Raymond Norris le 22 Juin 2022
Starting a parallel pool doesn't run subsequent MATLAB code in parallel, it simple starts a colletion of headless MATLAB processes. You need to use a parallel construct (e.g., parfor, gpuArray, etc.) to explicitly parallelize the code. Keep in mind that code that takes 3 minutes to run might improve with more resources, but it could also take more time just send data/instructions back and forth to all of the MATLAB processes. Explicit MATLAB multi-parallelism benifits more for longer running jobs (e.g, hours/days down to minutes/hours) than say running a job from 3 minutes to 3 seconds.
Based on the Profiler, have you identified for-loops that could benefit from being re-written as parfor? If so, what were the results of that?

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