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https://issues.apache.org/jira/browse/YARN-4122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15258594#comment-15258594
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Daniel Templeton commented on YARN-4122:
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Seems like a generally reasonable approach. From the SLURM lists, it looks
like prior to CUDA 7, the environment variable was not working correctly:
https://devtalk.nvidia.com/default/topic/512869/cuda-accessing-all-devices-even-those-which-are-blacklisted/?offset=2
This design will probably also have to adjust for the work being done in
YARN-4726.
In the doc you say that YARN is currently providing you GPU isolation. How are
you making that work?
> Add support for GPU as a resource
> ---------------------------------
>
> Key: YARN-4122
> URL: https://issues.apache.org/jira/browse/YARN-4122
> Project: Hadoop YARN
> Issue Type: New Feature
> Reporter: Jun Gong
> Assignee: Jun Gong
> Attachments: GPUAsAResourceDesign.pdf
>
>
> Use [cgroups
> devcies|https://www.kernel.org/doc/Documentation/cgroups/devices.txt] to
> isolate GPUs for containers. For docker containers, we could use 'docker run
> --device=...'.
> Reference: [SLURM Resources isolation through
> cgroups|http://slurm.schedmd.com/slurm_ug_2011/SLURM_UserGroup2011_cgroups.pdf].
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