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Why can parfor only write to one dimension?
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Say I have some code like:
index = 1:100;
results = cell(2,length(index));
parfor index
results{1,index} = analysisFunction1( data{index} );
results{2,index} = analysisFunction2( data{index} );
end
I get a "parfor cannot run due to the way variable 'results' is used" error message, although as far as I understand this shouldn't interfere in any way with how parfor works. So why is this restriction in place?
Note that if I comment out the second line everything runs as expected, and it isn't dependent on the data I'm writing only that I mention more than one dimension of results.
Changing it to
parfor index
results(1:2,index) = { Fun1(...) ; Fun2(...) };
end
Gets me a "The variable results in a parfor cannot be classified."
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回答(2 个)
Ken Atwell
2015-6-13
From parfor's perspective, "result" is being accessed randomly. Try this instead:
parfor i=index
results1{i} = analysisFunction1( data{i} );
results2{i} = analysisFunction2( data{i} );
end
results = vertcat(results1, results2);
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Walter Roberson
2015-6-13
http://www.mathworks.com/help/distcomp/sliced-variables.html and see the third example set, "The following example on the left does not slice A because the indexing of A is not the same in all places."
What is allowed is
parfor index
t = cell(2,1);
t{1} = analysisFunction1( data{index} );
t{2} = analysisFunction2( data{index} );
results(:,index) = t;
end
or probably
[results{:,index}] = t{:};
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