[ https://issues.apache.org/jira/browse/SPARK-37208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-37208: ------------------------------------ Assignee: Apache Spark > Support mapping Spark gpu/fpga resource types to custom YARN resource type > -------------------------------------------------------------------------- > > Key: SPARK-37208 > URL: https://issues.apache.org/jira/browse/SPARK-37208 > Project: Spark > Issue Type: Improvement > Components: YARN > Affects Versions: 3.0.0 > Reporter: Thomas Graves > Assignee: Apache Spark > Priority: Major > > Currently Spark supports gpu/fpga resource scheduling and specifically on > YARN it knows how to map gpu/fpga to the YARN resource types yarn.io/gpu and > yarn.io/fpga. YARN also supports custom resource types and in Hadoop 3.3.1 > made it easier for users to plugin in custom resource types. This means users > may create a custom resource type that represents a GPU or FPGAs because they > want additional logic that YARN the built in versions don't have. Ideally > Spark users still just use the generic "gpu" or "fpga" types in Spark. So we > should add the ability to change the Spark internal mappings. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org