Niketan Pansare created SYSTEMML-1140:
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Summary: 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
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] [[email protected]] I am labeling this bug as blocker
for SystemML 1.0.
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