The utilization of GPU is low in deep learning

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Lamya Mohammad
Lamya Mohammad 2020-2-29
评论： Joss Knight 2020-3-5
Hello, I’m using NVIDIA GeForce GTX 1080 Ti to run “single image super resolution network” code The utilization average for gpu was 25%, I added this code:
feature('GpuAllocPoolSizeKb', intmax('int32'));
And the utilization increased to 33%
Is there something more I can do to increase the utilization? Also, I don’t think MATLAB runs in the same speed of my GPU Note: my MATLAB version is R2019b, and I have student license

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Joss Knight
Joss Knight 2020-3-3
Try following some of the advice in the following MATLAB Answer: https://uk.mathworks.com/matlabcentral/answers/463367-gpu-utilization-is-not-100
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Lamya Mohammad
Lamya Mohammad 2020-3-5
Thank you, I’ll try them for the next training. For the feature function, can I use it anywhere in the code?
Joss Knight
Joss Knight 2020-3-5
You can use it anywhere as long as it is called after the first command that does something on the GPU in a MATLAB session, such as calling gpuDevice or creating a gpuArray.

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