Sliced variables in parfor loop (restricted indexing)
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Hi,
I am having trouble with some parallel for-loop coding. I believe my essential difficulties can be captured in the following example code.
The function "do_something(x)" takes an array as input and returns an array of equal size ("rand(size(pSlice))" would suffice for example), but this should be irrelevant. Matlab doesn't like the way I am indexing "p". After reading "documentation-center/classification-of-variables/sliced-variables", I understand (in principle) why Matlab doesnt accept "p" (incorrect form of indexing ), but what are my options to resolve this problem?
CellOccupations=round(rand(50,1)*20);
p=rand([sum(CellOccupations) 3]);
csO=cumsum(CellOccupations);
parfor iter=1:50
StartingPointIndex=csO(iter)-CellOccupations(iter)+1;
EndPointIndex=csO(iter);
pSlice=p(StartingPointIndex:EndPointIndex,:);
pSlice=do_something(pSlice);
p(StartingPointIndex:EndPointIndex,:)=pSlice;
end
I'll be happy to provide additional details and description of the problem if someone thinks they can help.
Thanks very much in advance for any help and effort!
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