Parallel Computing Question for For loop switch to parfor

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Systematically Neural
评论： Systematically Neural 2017-11-16
I am trying to find the nearest phase value to time intervals. This is the loop I have used. The matrix is large and I want to use parallel computing function 'parfor', but cannot due to having embedded functions within a function. I somewhat understand that they need things to be as simplistic as possible, but is there a way to fix this so that I can use 'parfor' function? I do not fully understand why the parallel processing has the limitations, so I am not exactly sure how to fix it.
I attached matrices for 'timeintervals' and 'phase values' if anyone needs them.
Any help would be greatly appreciated!
for i=1:length(timeintervals(:,1))
for ii=1:length(timeintervals)
[~,ix]=min(abs(timeintervals(i,ii)-phasevalues(:,2))); % find nearest location
out(i,ii)=phasevalues(ix);
end
end
  1 个评论
Matt J
Matt J 2017-11-16
but cannot due to having embedded functions within a function.
I don't see any function calls in your code.

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Matt J
Matt J 2017-11-16
编辑：Matt J 2017-11-16
Why not as follows?
col1=phasevalues(:,1);
col2=phasevalues(:,2); %as separate variable, repeated memory allocation is avoided
parfor j=1:size(timeintervals,2)
[~,ix]=min( abs(timeintervals(:,j).' - col2 ) ); % find nearest location
out(:,j)=col1(ix);
end

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