how to throttle CPU usage for fitrgp?

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jessupj 2023-12-14

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2060837-how-to-throttle-cpu-usage-for-fitrgp

评论： Drew 2023-12-15

采纳的回答： jessupj

在 MATLAB Online 中打开

(I hate asking something this trivial, but I'm frustrated... thanks for reading.)

My gaussian process regression via fitrgp automatically uses the maximum number of physical cores.

maxNumCompThreads(1)
mdl = fitrgp(X_train, Y_train,'KernelFunction', 'squaredexponential');

Specifically, setting the maxNumCompThreads is not effective in limiting CPU usage.

What am i missing here for throttling built-ins? I want to hard-limit it to may maybe 20 or 30 cores on this shared memory system.

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Answer 1

jessupj 2023-12-14

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https://ww2.mathworks.cn/matlabcentral/answers/2060837-how-to-throttle-cpu-usage-for-fitrgp#answer_1371987

移动：Walter Roberson 2023-12-15

(SOLVED)

So... for whatever reason, restarting matlab got maxNumCompThreads to start managing usage. (Same system environment, same workspace definitions). I think the explanation/answer here is 'something broke internally; restart the matlab kernel to fix it' unless there's a better answer that doesn't require that.

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Drew 2023-12-15

On what platform & CPU configuration did you observe reaching a state where maxNumCompThreads is not managing max thread usage? Please file a support case with reproduction steps if the condition is repeatable.

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Answer 2

Drew 2023-12-14

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https://ww2.mathworks.cn/matlabcentral/answers/2060837-how-to-throttle-cpu-usage-for-fitrgp#answer_1371927

在 MATLAB Online 中打开

Use maxNumCompThreads https://www.mathworks.com/help/matlab/ref/maxnumcompthreads.html to set the desired max number of computational threads.

LASTN = maxNumCompThreads(N)

If this answer helps you, please remember to accept the answer.

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Walter Roberson 2023-12-14

? they are already doing that, but it isn't helping.

jessupj 2023-12-14

maxNumCompThreads is ignored. the code snippet, when i run it, uses O(100) cores even despite the instruction maxNumCompThreads(k) for whatever value of k I throw at it

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