[ https://issues.apache.org/jira/browse/SPARK-24723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-24723: ---------------------------------- 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 + YARN. There were some past attempts from the Hadoop community. So we should find someone with good knowledge to lead the discussion here. Requirements: * understand how to set up YARN to run MPI job as a YARN application * figure out how to do it with Spark w/ Barrier 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 + YARN > -------------------------------------------------------- > > Key: SPARK-24723 > URL: https://issues.apache.org/jira/browse/SPARK-24723 > Project: Spark > Issue Type: Story > Components: ML, Spark Core > Affects Versions: 3.0.0 > Reporter: Xiangrui Meng > Assignee: Saisai Shao > 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 + YARN. There were some > past attempts from the Hadoop community. So we should find someone with good > knowledge to lead the discussion here. > > Requirements: > * understand how to set up YARN to run MPI job as a YARN application > * figure out how to do it with Spark w/ Barrier -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org