[jira] [Assigned] (SPARK-32907) adaptively blockify instances

["Weichen Xu (Jira)" <ji...@apache.org>]

     [ 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;
>  
>  



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