Matthias Boehm resolved SYSTEMML-1792.
       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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