Steps necessary to setup RTX A5000 on Matlab 2019.b or 2020.a

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Michel Rathé
Michel Rathé on 21 Sep 2021
Commented: David Willingham on 22 Sep 2021
Hi,
Just installed an RTX A5000 Ampere (24 Gb memory) for GPU computing including machine learning and deep learning.
I have several toolboxes (Parallel computing, Statistics and machine learning, Deep learning and others)
I'd like to know all the necessary steps to properly use the GPU to it's maximum capacity. Through several searchs, answers are not clear.
Do I need to update some librairies (Cuda or else), environement variables or else?
Here are the properties (CUDADevice):
CUDADevice with properties:
Name: 'NVIDIA RTX A5000'
Index: 1
ComputeCapability: '8.6'
SupportsDouble: 1
DriverVersion: 11.4000
ToolkitVersion: 10.1000
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 2.5757e+10
AvailableMemory: 2.4256e+10
MultiprocessorCount: 64
ClockRateKHz: 1695000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
Thanks,
Michel

Answers (1)

David Willingham
David Willingham on 22 Sep 2021
Hi Michel,
Full support for Ampere is only available as of R2021a:
David
  2 Comments
David Willingham
David Willingham on 22 Sep 2021
Hi Michel, upgrading to the latest NVIDIA toolkit might cause older versions of MATLAB to not work. If it works now, I'd leave it, but you won't get the maximum performance.

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