are there GPU settings in matlab?
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steve solomon
el 27 de Jun. de 2020
Comentada: steve solomon
el 1 de Jul. de 2020
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?
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Walter Roberson
el 28 de Jun. de 2020
Odd... the specifications I find on that device imply it should be about twice as fast as the RTX 2080 Max-Q for double precision, and a bit faster (about 3%) as the Max-Q for single precision.
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Jason Ross
el 1 de Jul. de 2020
Editada: Jason Ross
el 1 de Jul. de 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"
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Sindar
el 28 de Jun. de 2020
Most code will not be run on the GPU without adjustment
There are guides here and it looks pretty easy for many applications: https://www.mathworks.com/solutions/gpu-computing.html
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