Broadcast Variable Warning in MATLAB Parallel Computing Toolbox

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When I ran a MATLAB code using MATLAB Parallel Computing Toolbox, I got messages like:
The entire array or structure 'a' is a broadcast variable. This might result in unnecessary communication overhead.
The entire array or structure 'b' is a broadcast variable. This might result in unnecessary communication overhead.
The entire array or structure 'L' is a broadcast variable. This might result in unnecessary communication overhead.
I then got lost. The code is still running though, but I don't know what to do exactly to avoid the messages above. Below is a description of the main part of my code:
a = (5:5:100)'; b = (-0.4:0.1:2)'; L = (0.25:0.25:10)'; la = length(a); lb = length(b); lL = length(L);
parfor jj = 1:2
err1 = zeros(la,lb,lL);
for i = 1:la
if jj == 1, bla bla bla; else, bla bla bla; end
for j = 1:lb
for k = 1:lL
err1(i,j,k) = methods(a(i),b(j),L(k));
end
end
end
end

采纳的回答

Matt J
Matt J 2022-4-15
编辑:Matt J 2022-4-15
In this case, the warnings can probably be ignored because a, b, and L are very small.
However, I don't really understand the parallelization stratgy, since the outer parfor loop is very short, and you seem to be doing almost nothing with the loop variable jj. If the intensive work is being done by methods(), I would think you would want to paralleilize over (i,j,k).
  9 个评论
Matt J
Matt J 2022-4-15
编辑:Matt J 2022-4-15
I still need err1 as a matrix of 3 dimensions to do further postprocessing using commands like squeeze along the i dimension, etc. So, reshape here remains useful as suggested by
It should have been 3-dimensional from the beginning and remained so throughout. The shape was established in the declaration line,
err1 = zeros(la,lb,lL);

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