Matthias Boehm created SYSTEMML-2132:
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Summary: Autoencoder over 100K x 10K input w/ unnecessary spark ops
Key: SYSTEMML-2132
URL: https://issues.apache.org/jira/browse/SYSTEMML-2132
Project: SystemML
Issue Type: Bug
Reporter: Matthias Boehm
For a dense 100K x 10K input, the current auto encoder script results in
unnecessary spark operations for the initial permutation matrix multiply. After
closer inspection this is due to incorrect memory estimates for intermediates
which is supposed to be a sparse but returns a dense estimate.
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