Parfor loop slicing question.

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andrew joros
andrew joros am 9 Jan. 2012
Can someone tell me how to slice the array "data" that is within the parfor loop in the code below?:
parfor i=1:32 %fprintf('Now on year %d\n',i);
% data((1+(366*(i-1)):366*i),1)=1979+(i-1);
% data((1+(366*(i-1)):366*i),2)=1:366;
data((1+(366*(i-1)):366*i),3)=squeeze(motemp.TMIN(loni,lati,:,i));
data((1+(366*(i-1)):366*i),4)=squeeze(motemp.TMAX(loni,lati,:,i));
data((1+(366*(i-1)):366*i),5)=squeeze(mowind.WIND(loni,lati,:,i));
data((1+(366*(i-1)):366*i),6)=squeeze(moshum.DATA(loni,lati,:,i));
data((1+(366*(i-1)):366*i),7)=squeeze(morad.RADIATION(loni,lati,:,i));
end
FYI The array 'data' is 11712x15.
If you want to see the full code go here: http://pastebin.com/H3HEwAwR
Thanks and much appreciated.
I'm willing to paypal someone a little cash if they can help me out here.
  4 Kommentare
Michael
Michael am 10 Jan. 2012
Ah, that is tricky. The result would be 103936 .mat files? I would suggest running profiler to find where most time is spent (perhaps for 5-10 lat/long points) because I have a bad feeling the majority of it will be spent writing the large files to storage which would be considerably slower than any matrix reshaping done by the CPU (and would also probably not benefit from parallel architecture within the CPU).
andrew joros
andrew joros am 10 Jan. 2012
Yes I will be making ~104k .mat files. I am thinking parfor wont be any fast than a regular for-loop. Right?

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Edric Ellis
Edric Ellis am 10 Jan. 2012
Looking at your complete code, I would strongly recommend that you try to apply PARFOR to the outermost loop that gives you sufficient parallelism (i.e. has at least as many iterations as you have workers). This is generally the most efficient. It looks to me like either of the 2 outermost loops would be reasonable candidates.

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