Sean Owen commented on SPARK-17984:

Hm, it sounds like you mean it is on by default but not supported by normal 
hardware. The PR seems to introduce a dependency on numactl, which isn't 
something you find in most OSes right? I either misunderstand or no we can't do 

> 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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