Deep Learning not using GPU

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Tanmay Rajpathak
Tanmay Rajpathak am 11 Jul. 2019
Beantwortet: sanidhyak am 3 Apr. 2025 um 11:28
Why is matlab not using GPU for deep learning, even though it says that it is?
2019-07-11 11_41_19-Window.png
2019-07-11 11_41_48-Window.png

Antworten (1)

sanidhyak
sanidhyak am 3 Apr. 2025 um 11:28
Hi Tanmay,
I understand that you are trying to train a deep learning model in MATLAB using GPU, but MATLAB is not utilizing the GPU effectively despite displaying that it is training on a single GPU.
This issue may arise due to multiple factors, such as GPU compatibility, execution settings, or memory limitations.
Please consider the following workarounds to enable utilization of the GPU:
  • Run “gpuDevice” to ensure your GPU is CUDA-enabled and compatible with MATLAB. Verify GPU drivers and CUDA/cuDNN toolkit installation.
  • Run the following command to explicitly use GPU:
options = trainingOptions('sgdm', 'ExecutionEnvironment', 'gpu');
  • GPU Detection: Run “gpuDevice. If not detected, restart MATLAB and reinstall CUDA/cuDNN.
  • Increase batch size in “trainingOptions to optimize GPU usage.
  • Ensure the “Parallel Computing Toolbox is installed for GPU support.
  • Use “nvidia-smi (Windows) or watch -n 1 nvidia-smi (Linux) to check GPU activity.
For further reference, kindly check MATLAB’s official GPU support documentation:
Cheers & Happy Coding!

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