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Posted to issues@systemml.apache.org by "Niketan Pansare (JIRA)" <ji...@apache.org> on 2016/07/20 19:38:20 UTC

[jira] [Created] (SYSTEMML-824) Improve the performance of binary cell-wise operations

Niketan Pansare created SYSTEMML-824:
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             Summary: Improve the performance of binary cell-wise operations
                 Key: SYSTEMML-824
                 URL: https://issues.apache.org/jira/browse/SYSTEMML-824
             Project: SystemML
          Issue Type: Task
            Reporter: Niketan Pansare


The cellwise (matrix-matrix as well as matrix-scalar) operations take significant amount of time while training Lenet. Here are few ways to improve the performance of cell-wise operations:
1. Inject in-place updates [1] (saving on zero-ing out the matrix).
2. Fused cell-wise operations (as an example, recently added axpy operations). 
3. Parallelize cellwise operations (initial investigation need to be conducted before proceeding in this direction especially in sparse case: https://github.com/apache/incubator-systemml/blob/master/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixBincell.java#L274).

[~nakul02] [~mwdusenb@us.ibm.com] [~prithvi_r_s] [~mboehm7] [~reinwald]

Reference:
[1] http://www.diku.dk/hjemmesider/ansatte/torbenm/ICD/Register.pdf



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