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