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From "Chen Qingcha (JIRA)" <j...@apache.org>
Subject [jira] [Created] (YARN-7481) Gpu locality support for Better AI scheduling
Date Mon, 13 Nov 2017 10:38:00 GMT
Chen Qingcha created YARN-7481:

             Summary: Gpu locality support for Better AI scheduling
                 Key: YARN-7481
                 URL: https://issues.apache.org/jira/browse/YARN-7481
             Project: Hadoop YARN
          Issue Type: New Feature
          Components: api, RM, yarn
    Affects Versions: 2.7.2
            Reporter: Chen Qingcha
             Fix For: 2.7.2

We enhance Hadoop with GPU support for better AI job scheduling. 
Currently, YARN-3926 also supports GPU scheduling, which treats GPU as countable resource.

However, GPU placement is very important to deep learning job for better efficiency.
 For example, a 2-GPU job runs on gpu {0,1} could be faster than run on gpu {0, 7}, if GPU
0 and 1 are under the same PCI-E switch while 0 and 7 are not.
 We add the GPU support to Hadoop 2.7.2 to enable GPU locality scheduling, which support fine-grained
GPU placement. A 64-bits bitmap is added to yarn Resource, which indicates both GPU usage
and locality information in a node (up to 64 GPUs per node). '1' means available and '0'
otherwise in the corresponding position of the bit.   

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