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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HAMA-83) 2D sqaure blocking for dense matrix multiplication
Date Fri, 14 Nov 2008 13:16:46 GMT

    [ https://issues.apache.org/jira/browse/HAMA-83?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12647603#action_12647603
] 

Hudson commented on HAMA-83:
----------------------------

-1 overall.  Here are the results of testing the latest attachment 
http://issues.apache.org/jira/secure/attachment/12393927/HAMA-83.patch
against trunk revision 713666.

    @author +1.  The patch does not contain any @author tags.

    tests included +1.  The patch appears to include 9 new or modified tests.

    javadoc +1.  The javadoc tool did not generate any warning messages.

    javac +1.  The applied patch does not generate any new javac compiler warnings.

    release audit +1.  The applied patch does not generate any new release audit warnings.

    findbugs +1.  The patch does not introduce any new Findbugs warnings.

    core tests -1.  The patch failed core unit tests.

Test results: http://hudson.zones.apache.org/hudson/job/Hama-Patch/113/testReport/
Findbugs warnings: http://hudson.zones.apache.org/hudson/job/Hama-Patch/113/artifact/trunk/build/reports/findbugs/newPatchFindbugsWarnings.html
Checkstyle results: http://hudson.zones.apache.org/hudson/job/Hama-Patch/113/artifact/trunk/build/test/checkstyle-errors.html
Console output: http://hudson.zones.apache.org/hudson/job/Hama-Patch/113/console

This message is automatically generated.

> 2D sqaure blocking for dense matrix multiplication
> --------------------------------------------------
>
>                 Key: HAMA-83
>                 URL: https://issues.apache.org/jira/browse/HAMA-83
>             Project: Hama
>          Issue Type: New Feature
>          Components: implementation
>    Affects Versions: 0.1.0
>            Reporter: Edward J. Yoon
>            Assignee: Edward J. Yoon
>             Fix For: 0.1.0
>
>         Attachments: HAMA-83.patch
>
>
> The matrix multiplication of the original arrays can be transformed into matrix multiplication
of blocks. For example,
> C_block(1,1)=A_block(1,1)*B_block(1,1) + A_block(1,2)*B_block(2,1)
> emit  <blockKey, subMatrix> pairs instead of current <Int, Vector> input
formatter, and have a reducer sum up the sub matrices as describe below.
> {code}
>  Mapper<BlockKey, subMatrix> {
>     sub-matrix multiplication of block
>  }
>  Reducer<BlockKey, subMatrix> {
>     summation all sub-matrices
>  }
> {code}

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