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https://issues.apache.org/jira/browse/YARN-10503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17304984#comment-17304984
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Eric Payne commented on YARN-10503:
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[~leftnoteasy] and [~sunilg], is there a reason custom resources were not
included when the absolute resource feature was added?
[~zhuqi], I would prefer that custom resources be treated in a generic way for
calculating absolute queue resources. I would rather not treat GPU as a special
case. However, I think YARN-9936 is going beyond this requirement. Can we use
this JIRA (YARN-10503) to extend the absolute queue resource feature in a
general way for custom resources?
> 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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