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https://issues.apache.org/jira/browse/SYSTEMML-824?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Niketan Pansare updated SYSTEMML-824:
-------------------------------------
Description:
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:
https://github.com/apache/incubator-systemml/commit/b584aecf6b3a1eb96ff83b78cc3ad7c7c6d15baa).
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] [~mwdus...@us.ibm.com] [~prithvi_r_s] [~mboehm7] [~reinwald]
Reference:
[1] http://www.diku.dk/hjemmesider/ansatte/torbenm/ICD/Register.pdf
was:
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] [~mwdus...@us.ibm.com] [~prithvi_r_s] [~mboehm7] [~reinwald]
Reference:
[1] http://www.diku.dk/hjemmesider/ansatte/torbenm/ICD/Register.pdf
> 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:
> https://github.com/apache/incubator-systemml/commit/b584aecf6b3a1eb96ff83b78cc3ad7c7c6d15baa).
>
> 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] [~mwdus...@us.ibm.com] [~prithvi_r_s] [~mboehm7] [~reinwald]
> Reference:
> [1] http://www.diku.dk/hjemmesider/ansatte/torbenm/ICD/Register.pdf
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