MatLab maxes out exactly one of my cores.
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I am doing a lot of lsqcurvefits (order of 10^9 datapoints about 20 per fit so thats 10^8 fits) and all data is loaded in memory. Matlab maxes out exactly one of my cores on every system I try this on (dual core at work, quadcore at home). Even if I use parfor in my loops. Everywhere on this forum people tell eachother that there must be some other bottleneck, but I just dont buy it. Especially after trying it out at home with really fast RAM. Why does MatLab exactly max out one core if CPU is not the bottleneck?
My code goes something like this:
%size(data)==[15000 20];
times = [1:20];
startvals = [1,1];
pre_al = zeros(15000, 1);
amps = pre_al;
exps = pre_al;
expdecayfun = @([amplitude, exponent], time) amplitude*exp(-time/exponent)
parfor i=1:15000
x = lsqcurvefit(expdecayfun, startvals, times, data(i,:));
amps(i) = x(1);
exps(i) = x(2);
end
4 commentaires
Edric Ellis
le 26 Sep 2013
Are you sure matlabpool is open? If you're using R2013a or earlier, you must open the matlabpool explicitly before running your PARFOR loops to see any benefit.
Lennart
le 26 Sep 2013
Lennart
le 26 Sep 2013
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