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https://issues.apache.org/jira/browse/SYSTEMML-1140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Janardhan updated SYSTEMML-1140:
--------------------------------
    Affects Version/s: SystemML 1.1

> Sparse/Caching performance bugs related to deep learning scripts
> ----------------------------------------------------------------
>
>                 Key: SYSTEMML-1140
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1140
>             Project: SystemML
>          Issue Type: Bug
>    Affects Versions: SystemML 1.0.0, SystemML 1.1
>            Reporter: Niketan Pansare
>            Priority: Blocker
>
> We have identified two performance bugs that frequently occurs in deep 
> learning script.
> First, we repeatedly perform unnecessary conversion to sparse format. Also, 
> the operations such as matrix multiplication (including BLAS and CuBLAS) are  
> optimized for dense.
>       
> Second, even with large memory budget, we sometimes spend almost 20-30% time 
> in caching.
> [~mboehm7] [~reinwald] [~mwdus...@us.ibm.com] I am labeling this bug as 
> blocker for SystemML 1.0. Please feel free to assign this issue to yourself.



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