I have a structure with programatically generated fieldnames (let's call it myStruct), and an optimization program (let's call it optfunc) needs to run on data contained in each fieldname. I would like to use parfor to accelerate the process, but the normal way to loop through structs creates unclassified variables. Any tips on how this can be fixed? E.g.:
myFields = fieldnames(myStruct);
nFields = size(myFields,1);
parfor iField = 1:nFields
dataSet = myStruct.(myFields{iField});
optOut = optfunc( dataSet );
end

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Edric Ellis
Edric Ellis am 19 Mär. 2019

0 Stimmen

Given the following example data
myStruct = struct('one', rand(1), ...
'two', rand(2), ...
'three', rand(3));
My slight adaption of your program works correctly:
myFields = fieldnames(myStruct);
nFields = size(myFields,1);
out = NaN(1, nFields);
parfor iField = 1:nFields
dataSet = myStruct.(myFields{iField});
out(iField) = max(dataSet(:));
end
But note that myStruct is not sliced in this case - as @Walter suggests, you could use struct2cell to achieve that.
myContents = struct2cell(myStruct);
out2 = NaN(1, numel(myContents));
parfor iField = 1:numel(myContents)
dataSet = myContents{iField};
out2(iField) = max(dataSet(:));
end

1 Kommentar

Matthew Thompson
Matthew Thompson am 20 Mär. 2019
Yes, the struct2cell command was just what I was overlooking. Thank you both.

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