[ https://issues.apache.org/jira/browse/SYSTEMML-1140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
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. -- This message was sent by Atlassian JIRA (v7.6.3#76005)