[jira] [Updated] (SYSTEMML-1292) Support spark codegen instructions w/ multiple RDD inputs

2017-09-08 Thread Glenn Weidner (JIRA)

 [ 
https://issues.apache.org/jira/browse/SYSTEMML-1292?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Glenn Weidner updated SYSTEMML-1292:

Fix Version/s: (was: SystemML 1.0)
   SystemML 0.15

> Support spark codegen instructions w/ multiple RDD inputs
> -
>
> Key: SYSTEMML-1292
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1292
> Project: SystemML
>  Issue Type: Sub-task
>  Components: Compiler, Runtime
>Reporter: Matthias Boehm
>Assignee: Matthias Boehm
> Fix For: SystemML 0.15
>
>
> This task aims to support spark codegen instructions (for all templates) over 
> multiple RDD inputs if not all side inputs fit into the local and remote 
> broadcast memory budgets. In detail, this might entail either (1) generating 
> custom RDD operations and functions for various combinations of input RDDs, 
> or (2) a generalization of the related spark instructions regarding the input 
> RDD construction and a generic function signature.



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[jira] [Updated] (SYSTEMML-1292) Support spark codegen instructions w/ multiple RDD inputs

2017-08-11 Thread Matthias Boehm (JIRA)

 [ 
https://issues.apache.org/jira/browse/SYSTEMML-1292?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Matthias Boehm updated SYSTEMML-1292:
-
Summary: Support spark codegen instructions w/ multiple RDD inputs  (was: 
Generate n-ary rdd operations)

> Support spark codegen instructions w/ multiple RDD inputs
> -
>
> Key: SYSTEMML-1292
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1292
> Project: SystemML
>  Issue Type: Sub-task
>  Components: Compiler, Runtime
>Reporter: Matthias Boehm
> Fix For: SystemML 1.0
>
>
> This task aims to support spark codegen instructions (for all templates) over 
> multiple RDD inputs if not all side inputs fit into the local and remote 
> broadcast memory budgets. In detail, this might entail either (1) generating 
> custom RDD operations and functions for various combinations of input RDDs, 
> or (2) a generalization of the related spark instructions regarding the input 
> RDD construction and a generic function signature.



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