[jira] [Commented] (MAHOUT-1626) Support for required quasi-algebraic operations and starting with aggregating rows/blocks

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-1626?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14577785#comment-14577785 ] 

ASF GitHub Bot commented on MAHOUT-1626:
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Github user dlyubimov commented on the pull request:

    https://github.com/apache/mahout/pull/62#issuecomment-110128740
  
    ok i introduced allreduceBlock() in #135 but that, like spark's reduce, ends up in the driver collection, and supports only tensor types which is what i think we really should be constraining ourselves with (otherwise it would create with serialization requirements to the engines). Everything non-tensor and non-key i guess will have to be native engine code. 
    
    now, very speculatively, allreduceBlock (think spark's map+reduce on matrix blocks) should cover what you are talking about.



> Support for required quasi-algebraic operations and starting with aggregating rows/blocks
> -----------------------------------------------------------------------------------------
>
>                 Key: MAHOUT-1626
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1626
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Math
>    Affects Versions: 1.0.0
>            Reporter: Gokhan Capan
>            Assignee: Gokhan Capan
>              Labels: DSL, scala, spark
>             Fix For: 0.11.0
>
>




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