[jira] [Resolved] (SPARK-16469) Long running Driver task while multiplying big matrices

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16469?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-16469.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.1

Issue resolved by pull request 14068
[https://github.com/apache/spark/pull/14068]

> Long running Driver task while multiplying big matrices
> -------------------------------------------------------
>
>                 Key: SPARK-16469
>                 URL: https://issues.apache.org/jira/browse/SPARK-16469
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 2.0.0
>            Reporter: Ohad Raviv
>            Priority: Minor
>             Fix For: 2.0.1
>
>
> We have a use case of multiplying very big sparse matrices. we have about 1000x1000 distributed block matrices multiplication and the simulate multiply goes like O(n^4) (n being 1000). it takes about 1.5 hours. We modified it slightly with classical hashmap and now run in about 30 seconds O(n^2).



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