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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-16469) Long running Driver task while multiplying big matrices
Date Sun, 10 Jul 2016 13:04:11 GMT

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

Sean Owen updated SPARK-16469:
------------------------------
    Fix Version/s:     (was: 2.0.0)

> 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
>
> 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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