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https://issues.apache.org/jira/browse/YARN-10503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17302956#comment-17302956
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Eric Badger commented on YARN-10503:
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One initial question I have is whether we should generalize this to any
resource type (e.g. GPU, FPGA, etc). GPU already isn't a first-class resource
in YARN. If we aren't going to make it one, then I think it would be prudent to
make these additions generalized to all arbitrary resources instead of just GPUs
> Support queue capacity in terms of absolute resources with gpu resourceType.
> ----------------------------------------------------------------------------
>
> Key: YARN-10503
> URL: https://issues.apache.org/jira/browse/YARN-10503
> Project: Hadoop YARN
> Issue Type: Sub-task
> Reporter: Qi Zhu
> Assignee: Qi Zhu
> Priority: Critical
> Attachments: YARN-10503.001.patch, YARN-10503.002.patch
>
>
> Now the absolute resources are memory and cores.
> {code:java}
> /**
> * Different resource types supported.
> */
> public enum AbsoluteResourceType {
> MEMORY, VCORES;
> }{code}
> But in our GPU production clusters, we need to support more resourceTypes.
> It's very import for cluster scaling when with different resourceType
> absolute demands.
>
> This Jira will handle GPU first.
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