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