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From "Matthias Boehm (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SYSTEMML-1683) Improvements to row templates to capture missed opportunities
Date Sun, 11 Jun 2017 23:25:18 GMT

     [ https://issues.apache.org/jira/browse/SYSTEMML-1683?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Matthias Boehm updated SYSTEMML-1683:
-------------------------------------
    Description: 
This task aims to improve the compilation of row-wise fused operators in order to capture
missed opportunities on MLogreg binomial scenarios (all of which are general-purpose and will
apply in other scenarios too). In detail, this includes

* Row-wise templates with generalized column indexing for side inputs.
* Fusion of cbind-0 operations into row-wise templates of type row_agg or no_agg.
* Proper handling of row-wise operation DAGs with partial subexpressions and multiple roots

  was:
This task aims to improve the compilation of row-wise fused operators in order to capture
missed opportunities on MLogreg binomial scenarios (all of which are general-purpose and will
apply in other scenarios too). In detail, this includes

* Row-wise templates with generalized column indexing for side inputs.
* Fusion of cbind-0 operations into row-wise templates of type row_agg or no_agg.
* Proper handling of row-wise operation DAGs with partial subexpressions and multiple roots
(ensure that fusion does not lead to unnecessary compuation)


> Improvements to row templates to capture missed opportunities
> -------------------------------------------------------------
>
>                 Key: SYSTEMML-1683
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1683
>             Project: SystemML
>          Issue Type: Sub-task
>          Components: Compiler, Runtime
>            Reporter: Matthias Boehm
>             Fix For: SystemML 1.0
>
>
> This task aims to improve the compilation of row-wise fused operators in order to capture
missed opportunities on MLogreg binomial scenarios (all of which are general-purpose and will
apply in other scenarios too). In detail, this includes
> * Row-wise templates with generalized column indexing for side inputs.
> * Fusion of cbind-0 operations into row-wise templates of type row_agg or no_agg.
> * Proper handling of row-wise operation DAGs with partial subexpressions and multiple
roots



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