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https://issues.apache.org/jira/browse/SYSTEMML-449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matthias Boehm updated SYSTEMML-449:
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Epic Name: Compressed Linear Algebra
Description:
This epic tracks the integration and extension of compressed linear algebra
(CLA), as described in the following paper, into SystemML:
A. Elgohary, M. Boehm, P. J. Haas, F. R. Reiss, B. Reinwald: Compressed Linear
Algebra for Large-Scale Machine Learning; In PVLDB, Volumne 9, Issue 12, 2016.
Initially, we will integrate the existing prototype of compressed matrix
blocks, compression planning, and operations over compressed matrix blocks
(matrix-vector, vector-matrix, mmchain, tsmm, append, sum/rowSums/colSums, and
scalar operations). CLA can be enabled via an optional configuration in
SystemML-config, initially disabled by default. Furthermore, we aim to add
support for a variety of operations and additional column encoding formats.
> Compressed Linear Algebra
> -------------------------
>
> Key: SYSTEMML-449
> URL: https://issues.apache.org/jira/browse/SYSTEMML-449
> Project: SystemML
> Issue Type: Epic
> Components: Compiler, Runtime
> Reporter: Matthias Boehm
> Assignee: Matthias Boehm
>
> This epic tracks the integration and extension of compressed linear algebra
> (CLA), as described in the following paper, into SystemML:
> A. Elgohary, M. Boehm, P. J. Haas, F. R. Reiss, B. Reinwald: Compressed
> Linear Algebra for Large-Scale Machine Learning; In PVLDB, Volumne 9, Issue
> 12, 2016.
> Initially, we will integrate the existing prototype of compressed matrix
> blocks, compression planning, and operations over compressed matrix blocks
> (matrix-vector, vector-matrix, mmchain, tsmm, append, sum/rowSums/colSums,
> and scalar operations). CLA can be enabled via an optional configuration in
> SystemML-config, initially disabled by default. Furthermore, we aim to add
> support for a variety of operations and additional column encoding formats.
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