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https://issues.apache.org/jira/browse/SYSTEMML-1369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matthias Boehm updated SYSTEMML-1369:
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Fix Version/s: (was: SystemML 1.0)
SystemML 0.14
> Loop vectorization rewrite for indexed copies
> ---------------------------------------------
>
> Key: SYSTEMML-1369
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1369
> Project: SystemML
> Issue Type: Sub-task
> Components: Compiler
> Reporter: Matthias Boehm
> Assignee: Matthias Boehm
> Fix For: SystemML 0.14
>
>
> For complex models, users often have to resort to a task-parallel parfor
> implementation because it's not easily expressed in vectorized form. In this
> context, we often encounter indexed copies that could have been easily
> vectorized. For example, the below snippet stems from a recent benchmark
> comparison against SystemML, which implemented Hidden Markov Model learning:
> {code}
> parfor (i in 1:ncol(labels)) {
> topics[id, i] = labels[1, i]
> }
> {code}
> This task aims to automatically rewrite such loops into vectorized form - for
> above example into {{topics[id, 1:ncol(labels)] = labels[1,
> 1:ncol(labels)]}}, where the unnecessary right indexing is subsequently
> remove by following HOP rewrites.
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