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From "Matthias Boehm (JIRA)" <>
Subject [jira] [Created] (SYSTEMML-1792) Performance issue sparse-dense matrix multiply
Date Thu, 20 Jul 2017 08:07:00 GMT
Matthias Boehm created SYSTEMML-1792:

             Summary: Performance issue sparse-dense matrix multiply
                 Key: SYSTEMML-1792
             Project: SystemML
          Issue Type: Bug
            Reporter: Matthias Boehm

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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