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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2019/06/11 04:19:00 UTC
[jira] [Updated] (SPARK-27372) Standalone executor process-level
isolation to support GPU scheduling
[ https://issues.apache.org/jira/browse/SPARK-27372?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-27372:
----------------------------------
Issue Type: Story (was: Sub-task)
Parent: (was: SPARK-27360)
> Standalone executor process-level isolation to support GPU scheduling
> ---------------------------------------------------------------------
>
> Key: SPARK-27372
> URL: https://issues.apache.org/jira/browse/SPARK-27372
> Project: Spark
> Issue Type: Story
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Xiangrui Meng
> Priority: Major
>
> As an admin, I can configure standalone to have multiple executor processes on the same worker node and processes are configured via cgroups so they only have access to assigned GPUs. So I don't need to worry about resource contention between processes on the same host.
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