How do I make this code GPU capable

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Mark Storrings 2017-11-15

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回答： Tony Mohan Varghese 2017-11-29

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We are trying to take advantage of the GPU for increase processing speed. As a test, we are trying to convert the following code to utilize the GPU:

clear all; close all; clc; 
variables =1000; data = 60;
X = rand(variables, data);
Y = rand(data, 1);
distcomp.feature( 'LocalUseMpiexec', false ); delete(gcp('nocreate')); parpool(4); pctRunOnAll warning('off','all') 
disp('CPU started'); tic;
parfor j= [1:variables]  
    mdl = fitlm(   X([ j ],:)  , Y  , 'linear','RobustOpts','off');
    Rsq(j) = mdl.Rsquared.Adjusted;
    Rmse(j) =mdl.RMSE;
end
toc
disp('CPU ended');

Any assistance would be greatly appreciated.

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Matt J 2017-11-16

编辑：Matt J 2017-11-16

It doesn't look to me like it would benefit from the GPU. Parfor is a good choice for the operations that you've shown.

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回答（1 个）

Tony Mohan Varghese 2017-11-29

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/367269-how-do-i-make-this-code-gpu-capable#answer_293705

Refer to GPU Capabilities and performance in MATLAB Documentation :

https://www.mathworks.com/help/distcomp/gpu-capabilities-and-performance.html

There are built in functions that you can use to improve your code :

https://www.mathworks.com/help/distcomp/run-built-in-functions-on-a-gpu.html

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