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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/10 06:21:10 UTC
[jira] [Commented] (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:comment-tabpanel&focusedCommentId=15369439#comment-15369439 ]
Apache Spark commented on SPARK-16469:
--------------------------------------
User 'uzadude' has created a pull request for this issue:
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: 2.0.0
>
>
> 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).
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