[jira] [Updated] (YARN-5517) Add GPU as a resource type for scheduling on branch-2.7.1

["Jaeboo Jeong (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/YARN-5517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jaeboo Jeong updated YARN-5517:
-------------------------------
    Attachment: YARN-5517-branch-2.7.1.patch

> Add GPU as a resource type for scheduling on branch-2.7.1
> ---------------------------------------------------------
>
>                 Key: YARN-5517
>                 URL: https://issues.apache.org/jira/browse/YARN-5517
>             Project: Hadoop YARN
>          Issue Type: Improvement
>            Reporter: Jaeboo Jeong
>         Attachments: YARN-5517-branch-2.7.1.patch
>
>
> Currently YARN only support scheduling based on memory and cpu.
> There is the issue(YARN-3926) which proposed to extend the YARN resource model.
> And there is the issue(YARN-4122) to add support for GPU as a resource  using docker.
> But these issues didn’t release yet so I just added GPU resource type like memory and cpu.
> I don’t consider GPU isolation like YARN-4122.
> The properties for GPU resource type is similar to cpu core.
> mapred-default.xml
> mapreduce.map.gpu.cores (default 0)
> mapreduce.reduce.gpu.cores	(default 0)
> yarn.app.mapreduce.am.resource.gpu-cores (default 0)
> yarn-default.xml
> yarn.scheduler.minimum-allocation-gcores (default 0)	
> yarn.scheduler.maximum-allocation-gcores (default 8)
> yarn.nodemanager.resource.gcores (default 0)
> I attached the patch for branch-2.7.1



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