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Posted to issues@systemml.apache.org by "Matthias Boehm (JIRA)" <ji...@apache.org> on 2017/06/20 02:52:00 UTC

[jira] [Created] (SYSTEMML-1723) Parallel nnz recompute for all multi-threade convolution ops

Matthias Boehm created SYSTEMML-1723:
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             Summary: Parallel nnz recompute for all multi-threade convolution ops
                 Key: SYSTEMML-1723
                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1723
             Project: SystemML
          Issue Type: Task
            Reporter: Matthias Boehm


All multi-threaded convolution operations currently make an additional pass over the output in order to {{recomputeNonZeros}}, which is a sequential operation. Since all convolution operations parallelize over rows (with guaranteed disjoint results), we should recompute the non zeros locally for each row partition and simply aggregate the final meta data.



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