How to parallel 4 works with PARFOR with a Core i3 in Matlab

Question

Manuel Ignacio 2013-2-20

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/64258-how-to-parallel-4-works-with-parfor-with-a-core-i3-in-matlab

回答： Franck Dernoncourt 2014-6-12

I have Matlab R2012b for Ubuntu 64 bits. I have a Intel Core i3 CPU M 330 @ 2.13GHz × 4.

I want to use parfor to parallelize 4 loops at same time. Because Intel Core i3 has 2 Cores and 4 Threads I use this code:

if matlabpool('size') == 0 % checking to see if my pool is already open
    matlabpool(4)
else
    matlabpool close
    matlabpool(4)
end

And I obtain the following error:

Error:

You requested a minimum of 4 workers, but the cluster "local" has the NumWorkers property set to allow a maximum of 2 workers. To run a communicating job on more workers than this (up to a maximum of 12 for the Local cluster), increase the value of the NumWorkers property for the cluster. The default value of NumWorkers for a Local cluster is the number of cores on the local machine.

Why? The default value of NumWorkers in my machine is 2 but if I can do 4 loops at the same time, how do I get it?

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Answer 1

Franck Dernoncourt 2014-6-12

4
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https://ww2.mathworks.cn/matlabcentral/answers/64258-how-to-parallel-4-works-with-parfor-with-a-core-i3-in-matlab#answer_140641

To change the value of NumWorkers from 2 to 4 of the local cluster profile programmatically, you can use :

myCluster = parcluster('local');
myCluster.NumWorkers = 4;  % 'Modified' property now TRUE
saveProfile(myCluster);    % 'local' profile now updated,
                           % 'Modified' property now FALSE

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Answer 2

Jason Ross 2013-2-20

2
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https://ww2.mathworks.cn/matlabcentral/answers/64258-how-to-parallel-4-works-with-parfor-with-a-core-i3-in-matlab#answer_75852

Go to the Parallel menu, then select Manage Cluster Profiles. Select the "local" profile, and change NumWorkers to 4.

Keep in mind that it's highly likely that doing this isn't going to have any change in the speed of your application, as they will be bottlenecked by the number of compute cores.