MatLab maxes out exactly one of my cores.
2 次查看(过去 30 天)
显示 更早的评论
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
采纳的回答
Jan
2013-9-26
Without seeing any line of the code, guessing the reason cannot be reliable. Perhaps you start Matlab with a flag to run on one core only? Or your PARFOR loops run one instance only? Could you provide more details?
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Loops and Conditional Statements 的更多信息
产品
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!