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Apache Spark commented on SPARK-17984: -------------------------------------- User 'xiaochang-wu' has created a pull request for this issue: https://github.com/apache/spark/pull/16411 > 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 > 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 -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org