[jira] [Commented] (SPARK-17984) Add support for numa aware feature

["Sean Owen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-17984?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15584696#comment-15584696 ] 

Sean Owen commented on SPARK-17984:
-----------------------------------

Pardon the ignorance, but does NUMA require specialized hardware?


> Add support for numa aware feature
> ----------------------------------
>
>                 Key: SPARK-17984
>                 URL: https://issues.apache.org/jira/browse/SPARK-17984
>             Project: Spark
>          Issue Type: New Feature
>          Components: Deploy, Mesos, YARN
>    Affects Versions: 2.0.1
>         Environment: Cluster Topo: 1 Master + 4 Slaves
> CPU: Intel(R) Xeon(R) CPU E5-2699 v3 @ 2.30GHz(72 Cores)
> Memory: 128GB(2 NUMA Nodes)
> SW Version: Hadoop-5.7.0 + Spark-2.0.0
>            Reporter: quanfuwang
>             Fix For: 2.0.1
>
>   Original Estimate: 672h
>  Remaining Estimate: 672h
>
> This Jira is target to add support numa aware feature which can help improve performance by making core access local memory rather than remote one. 
>  A patch is being developed, see https://github.com/apache/spark/pull/15524.
> And the whole task includes 3 subtasks and will be developed iteratively:
> Numa aware support for Yarn based deployment mode
> Numa aware support for Mesos based deployment mode
> Numa aware support for Standalone based deployment mode



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