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Posted to issues@spark.apache.org by "quanfuwang (JIRA)" <ji...@apache.org> on 2016/10/18 02:48:59 UTC
[jira] [Updated] (SPARK-17984) Add support for numa aware feature
[ https://issues.apache.org/jira/browse/SPARK-17984?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
quanfuwang updated SPARK-17984:
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Summary: Add support for numa aware feature (was: Add support for numa aware)
> 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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