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From "Matthias Boehm (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (SYSTEMML-1723) Parallel nnz recompute for all multi-threade convolution ops
Date Sat, 02 Dec 2017 23:24:00 GMT

     [ https://issues.apache.org/jira/browse/SYSTEMML-1723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Matthias Boehm closed SYSTEMML-1723.
------------------------------------
       Resolution: Fixed
         Assignee: Matthias Boehm
    Fix Version/s: SystemML 1.0

> Parallel nnz recompute for all multi-threade convolution ops
> ------------------------------------------------------------
>
>                 Key: SYSTEMML-1723
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1723
>             Project: SystemML
>          Issue Type: Task
>            Reporter: Matthias Boehm
>            Assignee: Matthias Boehm
>             Fix For: SystemML 1.0
>
>
> All multi-threaded convolution operations currently make an additional pass over the
output in order to {{recomputeNonZeros}}, which is a sequential operation. Since all convolution
operations parallelize over rows (with guaranteed disjoint results), we should recompute the
non zeros locally for each row partition and simply aggregate the final meta data.



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