Parallelizing Independent Tasks Help
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Hi,
I have a model that I'm trying to parallelize. In this section, I run the same function four times on four independent sets, each time the function outputs three tables of reaction probabilities. I struggled using parfor to parallelize because it behaves strangely with indexing order and I don't understand it. Can anyone chime in with advice about how they would parallelize this task?
[HF,HA,HS] = reactions(H,1,Hprobs);
[OF,OA,OS] = reactions(O,16,Oprobs);
[U25F,U25A,U25S] = reactions(U25,235,U25probs);
[U28F,U28A,U28S] = reactions(U28,238,U28probs);
Thank you!
9 Comments
Greg
on 25 Jan 2018
If you're looking for general performance improvement (rather than specifically multi-threading), run the profiler. It will identify individual lines of code that are taking especially long to execute. You can then post a new (related) question, identifying those lines and we can try to help optimize.
Accepted Answer
Greg
on 25 Jan 2018
Per the comments, I think you're having curly-brace vs. parenthesis problems, and 1:3 in input, not 1:4:
input = { H, 1, Hprobs; ...
O, 16, Oprobs; ...
U25,235,U25probs; ...
U28,238,U28probs};
parfor i=1:4
[F{i},A{i},S{i}] = reactions(input{i,1:3});
end
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