Will Matlab mldivide( \ ) operator use all the available cores when used on multi-node?

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Raj Gopal Nannapaneni
评论： Raj Gopal Nannapaneni 2020-9-24
I am trying to solve a transient problem in matlab in which I have to solve x = A\b for every iteration. A is a sparse array (not distribured) of size around 2millionx2million and 350MB. Matlab documentation says that \ operator is optimized and can use all the cores.
I'm currently running on a single node using all 28 cores available to solve the problem and planning on using distributed computing on multiple nodes. I do not know if matlab is using all the available cores on multiple nodes during computation of ( \ ).
Is there anyway to check if the code is using all the cores and if not what can be done to use all the available cores.

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Walter Roberson
Walter Roberson 2020-9-22
It will use up to the current maxNumCompThreads https://www.mathworks.com/help/matlab/ref/maxnumcompthreads.html
The number of threads per worker can be configured in the cluster profile, or at job submission time https://www.mathworks.com/matlabcentral/answers/395333-using-parfor-on-cluster-changing-number-of-cores-per-worker#answer_315541
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