Matlab limits GPU utilization?
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I am trying to train a network to find knee joints in x-rays on a new PC with an Nvidia 1080ti running trainFasterRCNNObjectDetector using R2018a. The GPU utilization reported by the windows 10 task manager never exceeds 50%. Is Matlab trainFasterRCNNObjectDetector configured to limit GPU utilization? It takes so long to train that it would be great if it would use closer to 100% of the GPU. I have tried alexnet and am training with vgg16 currently.
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Rik
2018-2-1
You should check if this is the case as well for R2017b, because if I recall correctly, the pre-release license agreement forbids this kind of public communications.
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John Hipp
2018-2-1
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Steven Lord
2018-2-1
The answers and comments by Birju and Joss in this Answer may be applicable to your training code as well.
Joss Knight
2018-2-7
I'm not sure I understand why it was recommended to you to move to Windows - can you explain?
The way the Task Manager defines utilization, I believe I would have expected it to be higher. What is the size of the parallel pool that opens when you start training? It will probably help to increase the number of workers in that pool.
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