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https://issues.apache.org/jira/browse/SYSTEMML-2120?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matthias Boehm closed SYSTEMML-2120.
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Resolution: Done
Assignee: Matthias Boehm
Fix Version/s: SystemML 1.1
> Improve codegen optimizer (pruning effectiveness)
> -------------------------------------------------
>
> Key: SYSTEMML-2120
> URL: https://issues.apache.org/jira/browse/SYSTEMML-2120
> Project: SystemML
> Issue Type: Sub-task
> Reporter: Matthias Boehm
> Assignee: Matthias Boehm
> Priority: Major
> Fix For: SystemML 1.1
>
>
> The codegen optimizer applies various techniques to prune the search space,
> including the partitioning into independent problems, the restriction to
> interesting points, as well as cost-based and structural pruning. These
> techniques work very well for most use case rendering the codegen overhead
> negligible. However, there are still exceptions where the additional
> compilation overhead leads to a slowdown. One of these examples is lenet, the
> below codegen statistics are obtained from 1000 iterations over mnist60k.
> {code}
> HOP DAGs recompiled (PRED, SB): 0/1154.
> HOP DAGs recompile time: 237.579 sec.
> Codegen compile (DAG,CP,JC): 1176/17450/36.
> Codegen enum (ALLt/p,EVALt/p): 1064354993445/16387318/11342971/11331811.
> Codegen compile times (DAG,JC): 234.174/0.835 sec.
> Codegen plan cache hits: 17408/17444.
> {code}
> Pruning reduced the number of plans from > 1 trillion to 11 million, which is
> still too high causing an overhead of 234s for a total execution time of 425s.
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