are there GPU settings in matlab?

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I just bought a new NVIDIA Titan RTX in the hopes of increasing the speed of some code but have been most disappointed in the results. It was actually slower than the same code (on a different machine) with a NVidia RTX 2080 Qmax. Are there Matlab setttings that can help me take mroe advantage of my new GPU?
steve solomon
steve solomon on 28 Jun 2020
yup, and at $2500 it trancends odd and crosses over to annoying. dowloaded and ran GPUbench on both machines using same version of Matlab (2020a) and found the Titan faster as expected. so it must be my code but that's pretty simple and should show the expected improvement, hence my question.

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Accepted Answer

Jason Ross
Jason Ross on 1 Jul 2020
Edited: Jason Ross on 1 Jul 2020
For a Titan board, you have the option of putting it in "compute only" (TCC) mode, which frees it from the Windows GUI timeout. These are nVidia settings, not MATLAB settings, we just pick up the GPU and use it. This has helped with performance in some instances. Keep in mind that for the Turing architecture, it's going to favor singles math performance over doubles. TCC mode cannot be set for every nvidia card, but nvidia-smi will till you if it's not supported. Generally it's allowed for Titan, Tesla, and some Quadro cards.
To set it to compute only you can use the nvidia-smi command run in an elevated (Administrator) command prompt. You must also not have a monitor connected to the card. The command will look something like
"C:\Program Files\Nvidia corporation\nvsmi\nvidia-smi.exe" -i 2 -dm 1
where "-i" is the index of the Titan RTX card. You can find this by just running nvidia-smi.exe without any options:
"C:\Program Files\Nvidia corporation\nvsmi\nvidia-smi.exe"
steve solomon
steve solomon on 1 Jul 2020
thanks Jason, that sounds very promising. the Titan board i have does support TCC mode but i can't put it into TCC mode while it's driving the display and since i don't have a second card, can't try this mode at the moment.

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More Answers (1)

Sindar on 28 Jun 2020
Most code will not be run on the GPU without adjustment
There are guides here and it looks pretty easy for many applications:





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