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Help: restructuring parfor
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totpV=5;
vars = rand(totpV,2);
for loop1=1:100
for loop2=1:totpV % Make this loop2 parallel using parfor
parameter=vars(loop2,:,loop1);
result(loop2,loop1)=feval('sum',parameter); % sample function
if min(result(loop2,:))<=result(loop2,loop1)
best=result(loop2,loop1);
end
vars(loop2,:,(loop1+1))= vars(loop2,:,loop1) + rand(1,2).*best;
end
end
I want to process loop2 parallelly, however, not getting how. From This page, probably this is due to Sliced Variables. Any idea to restructure?
Errors: The PARFOR loop cannot run due to the way variable 'vars', 'result' is used.
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Bhavanithya Thiraviaraja
2018-4-17
编辑:Bhavanithya Thiraviaraja
2018-4-17
There seems to be a dependency between the iterations in the line
min(result(loop2,:))<=result(loop2,loop1)
In parfor, the iterations are performed on independent MATLAB workers and hence it requires 'No Dependency'. In this case, the min(result(loop2,:)) seems to use the previously calculated values also, hence making it dependent.
Refer https://de.mathworks.com/help/distcomp/ensure-that-parfor-loop-iterations-are-independent.html for examples!
The dependency has to be broken without affecting the algorithm to use parfor.
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