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From "Jaeboo Jeong (JIRA)" <j...@apache.org>
Subject [jira] [Created] (YARN-5517) Add GPU as a resource type for scheduling on branch-2.7.1
Date Fri, 12 Aug 2016 07:23:20 GMT
Jaeboo Jeong created YARN-5517:

             Summary: 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

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.

mapreduce.map.gpu.cores (default 0)
mapreduce.reduce.gpu.cores	(default 0)
yarn.app.mapreduce.am.resource.gpu-cores (default 0)

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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