Is 'parfor' running correctly when mex-ed ?
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I have mex-ed a function containing a parfor loop and I get 0 Errors, Warnings, Notices or Messages.
When I run the original parallelized Matlab function on 10 cores, I can see in Task Manager (or ProcessExplorer) 10 Matlab threads each taking about 6% for a total of about 62% of CPU processing power.
When I run the mex function, I can only see one Matlab thread taking 50% of the CPU power.
Is the mex function actually running on 10 parallel threads (cores) or is it executing in single threaded fashion ? Can I verify that the compiler/OpenMP actually functioned correctly when mexing the code ?
I am using: 2x Intel Xeon X5560 @2.80GHz, Windows Server 2008 R2 Enterprise, Matlab R2015b, Microsoft Visual C++ compiler 2012.
Please see the attached file with the compilation report, if needed.
Thank you,
Victor
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Respuestas (1)
Fei Deng
el 17 de Abr. de 2017
How did you run the mex-ed function with par-for loop? You can specify on how many threads (at most) it runs in parallel by executing function_with_par_for(number of threads) in command window. You can take a look of the example "Generate MEX for parfor" here https://www.mathworks.com/help/coder/ref/parfor.html
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