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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2018/07/02 23:46:00 UTC
[jira] [Updated] (SPARK-24726) Discuss necessary info and access in
barrier mode + Standalone
[ https://issues.apache.org/jira/browse/SPARK-24726?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-24726:
----------------------------------
Description:
In barrier mode, to run hybrid distributed DL training jobs, we need to provide users sufficient info and access so they can set up a hybrid distributed training job, e.g., using MPI.
This ticket limits the scope of discussion to Spark + Standalone. For MPI, what we need is password-less SSH access among workers. We might also consider other distributed frameworks, like distributed tensorflow, H2O, etc.
was:
In barrier mode, to run hybrid distributed DL training jobs, we need to provide users sufficient info and access so they can set up a hybrid distributed training job, e.g., using MPI.
This ticket limits the scope of discussion to Spark + YARN. There were some past attempts from the Hadoop community. So we should find someone with good knowledge to lead the discussion here.
> Discuss necessary info and access in barrier mode + Standalone
> --------------------------------------------------------------
>
> Key: SPARK-24726
> URL: https://issues.apache.org/jira/browse/SPARK-24726
> Project: Spark
> Issue Type: Story
> Components: ML, Spark Core
> Affects Versions: 3.0.0
> Reporter: Xiangrui Meng
> Priority: Major
>
> In barrier mode, to run hybrid distributed DL training jobs, we need to provide users sufficient info and access so they can set up a hybrid distributed training job, e.g., using MPI.
> This ticket limits the scope of discussion to Spark + Standalone. For MPI, what we need is password-less SSH access among workers. We might also consider other distributed frameworks, like distributed tensorflow, H2O, etc.
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