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https://issues.apache.org/jira/browse/SYSTEMML-913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matthias Boehm closed SYSTEMML-913.
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> Performance matrix-vector multiplication w/ tall rhs vector
> -----------------------------------------------------------
>
> Key: SYSTEMML-913
> URL: https://issues.apache.org/jira/browse/SYSTEMML-913
> Project: SystemML
> Issue Type: Task
> Reporter: Matthias Boehm
> Assignee: Matthias Boehm
> Fix For: SystemML 0.11
>
>
> So far, we compute matrix-vector multiplication with simple row-wise dot
> products. This works very well for the common case of tall&skinny matrices,
> where the right-hand-side vector is very small. However, for scenarios with
> many features and hence a tall rhs vector, this approach suffers from cache
> unfriendly behavior. Accordingly, this task tracks the introduction of a
> dedicated cache-conscious matrix-vector multiplication for both sparse and
> dense matrices.
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