Difference between revisions of "GPU identifiers"

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Remember that some GPUs are dual devices. A single NIVIDIA K80 will show as two different devices, with two different integer numbers.
 
Remember that some GPUs are dual devices. A single NIVIDIA K80 will show as two different devices, with two different integer numbers.
  
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[[File:Nvidia-smi example.png|thumb|center|400px| A screenshot on <tt>nvidia-smi</tt> showing three devices]]
  
 
==Setting the identifiers==
 
==Setting the identifiers==

Latest revision as of 09:17, 25 October 2017

The GPUs accessible by your system in an interactive session (i.e., assuming you can directly ssh onto the node where the GPUs are installed) can be shown with nvidia-smi. The system assigns an integer number to each device CUDA can talk to.

Remember that some GPUs are dual devices. A single NIVIDIA K80 will show as two different devices, with two different integer numbers.


A screenshot on nvidia-smi showing three devices

Setting the identifiers

You need to make certain that the identifiers that you pass to the project are correct. During unfolding, Dynamowill not check that the device numbers are correct!

On the GUI

In the dcp GUI go to the computing environment GUI. In the GPU panel there is an edit field for the gpu identifiers.

Through the command line

The parameter is called gpu_identifier_set (short gpus). You can set it into a project using dvput, for instance:

dvput myProject gpus [0,1,2,3]

Environment variable

In some rare systems, you might to be required to manually set the environment variable CUDA_​VISIBLE_​DEVICES to the device numbers that you already selected inside Dynamo.

export CUDA_VISIBLE_DEVICES="1"

or

export CUDA_VISIBLE_DEVICES="0,2"