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https://issues.apache.org/jira/browse/SYSTEMML-1792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matthias Boehm resolved SYSTEMML-1792.
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Resolution: Fixed
Assignee: Matthias Boehm
Fix Version/s: SystemML 1.0
> Performance issue sparse-dense matrix multiply
> ----------------------------------------------
>
> Key: SYSTEMML-1792
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1792
> Project: SystemML
> Issue Type: Bug
> Reporter: Matthias Boehm
> Assignee: Matthias Boehm
> Fix For: SystemML 1.0
>
>
> Our sparse-dense matrix multiply is already cache conscious but used very
> small block static block sizes, which were optimized for moderate sparsity.
> However, for cases with very sparse matrices (and skinny right hand size
> matrices), the small block sizes add substantial overhead of more than an
> order of magnitude. This task aims to make these block sizes adaptive,
> consistent with our cache-conscious implementations of sparsity exploiting
> matrix multiply operators such as wsloss.
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