[ https://issues.apache.org/jira/browse/SPARK-32907?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Weichen Xu reassigned SPARK-32907: ---------------------------------- Assignee: zhengruifeng > adaptively blockify instances > ----------------------------- > > Key: SPARK-32907 > URL: https://issues.apache.org/jira/browse/SPARK-32907 > Project: Spark > Issue Type: Sub-task > Components: ML > Affects Versions: 3.1.0 > Reporter: zhengruifeng > Assignee: zhengruifeng > Priority: Major > Attachments: blockify_svc_perf_20201010.xlsx > > > According to the performance test in > https://issues.apache.org/jira/browse/SPARK-31783, the performance gain is > mainly related to the nnz of block. > So it is reasonable to control the size of block. > > I had some offline discuss with [~weichenxu123], then we think following > changes are worthy: > 1, infer an appropriate blockSize (MB) based on numFeatures and nnz by > default; > 2, impls should use a relative small memory footprint when processing one > block, and should not use a large pre-allocated buffer, so we need to revert > gmm; > 3, use new blockify strategy in LinearSVC/LoR/LiR/AFT; > > -- 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