You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/10 06:21:11 UTC

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

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

Apache Spark reassigned SPARK-16469:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>            Priority: Minor
>             Fix For: 2.0.0
>
>
> 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).



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org