Effacer les filtres
Effacer les filtres

Disable the gpu.

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María del Carmen Salas Casas
Commenté : Joss Knight le 24 Mar 2023
Good morning,
I have matlab version 2022b and I would like to disable the system GPU from the matlab application so that it does not recognise it and runs the programs only using the cpu. Could you tell me if it is possible to do it and how to do it? I would like to do it from the application itself, as disabling the gpu from the system is more laborious and I just want matlab to not recognise it.
Thank you.

Réponses (3)

Joss Knight
Joss Knight le 15 Jan 2023
As soon as you start MATLAB type
setenv CUDA_VISIBLE_DEVICES -1
MATLAB will no longer recognise any GPU for computation.
  2 commentaires
Walter Roberson
Walter Roberson le 15 Jan 2023
Interesting!
I take it that variable is only tested the first time that gpu would be relevant, and that there is no way to force the test to be reset?
Joss Knight
Joss Knight le 15 Jan 2023
This is a variable recognised by the CUDA driver and only checked when the driver is initialized, which happens the first time you use or query the GPU. So correct, there is no way to reset this without restarting MATLAB. Alternatively, use a process pool which can be stopped and restarted at will.

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Luca Ferro
Luca Ferro le 13 Jan 2023
the command:
gpuDevice([]);
should do the trick.
Mind that it requires that the Parallel Computing Toolbox is installed.
For more informations you can check here
  1 commentaire
Walter Roberson
Walter Roberson le 13 Jan 2023
If you have code along the lines of
if gpu is detected
run deep learning on gpu
else
run deep learning on cpu
end
and you want to calculate the timings both ways without changing the detection test... then selecting the empty gpu is probably not going to be enough. But it would depend on how the gpu detection is coded.

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Matt J
Matt J le 13 Jan 2023
Modifié(e) : Matt J le 13 Jan 2023
Matlab will use the CPU by default unless you have in some way told it to use the GPU for a specific computation.
An exception might be the trainNetwork and predict commands, if you are doing DNN training or inference. Those commands have an option, however, called ExecutionEnvironment that you can use to specify CPU-only computation.
  6 commentaires
Matt J
Matt J le 24 Mar 2023
dlnetwork's execution environment is determined by the attributes of its input data and parameters.
If so, what is the acceleration property for?
Joss Knight
Joss Knight le 24 Mar 2023
That's a separate thing, although the kinds of accelerations we can do are affected by the environment.

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