How to use parallel computing

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Stéphane
Stéphane on 24 Sep 2014
Commented: Stéphane on 25 Sep 2014
Hello,
I'm very new in parallel computing and I can't find what I want in the matlab help (even if it's probably in there...).
I have a code that computes things on two different (big) matrices and then use both of them to compute something else :
for i = 1:N
M1 = computeMatrix1(M1);
M2 = computeMatrix2(M2);
X = doSomething(M1,M2).
end
computeMatrix1() and computeMatrix2() can be processed independently.
My question is then : is there a way to ask matlab to process these two functions on different processors, and then process doSomething() when the previous functions are done ? Or is my question silly because I'm so ignorant in parallel processing...
Thanks
  2 Comments
Raymond Norris
Raymond Norris on 24 Sep 2014
Are computeMatrix1 and computeMatrix2 the same function called with different input arguments? Or are they completely different functions?
The for loop itself is then not independent since for example, M1 is dependent on the previous iteration, correct?
Stéphane
Stéphane on 25 Sep 2014
They are different functions at the moment, but I could probably find a way to merge them into one function.
And yes, the M1 is dependent on the previous iteration.
Thanks for your help

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Answers (1)

José-Luis
José-Luis on 24 Sep 2014
In order for Matlab to compute the functions on different cores (not the same as different processors), you could always:
a = cell(1,2),
a{1} = M1;
a{2} = M2;
parfor ii = 1:2
a{ii} = computeMatrix(a{ii});
end
X = doSomething(a{1},a{2}); %You would need to take this out of the loop

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