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Posted to issues@systemml.apache.org by "Niketan Pansare (JIRA)" <ji...@apache.org> on 2016/09/19 04:08:21 UTC

[jira] [Updated] (SYSTEMML-935) Improve the performance of sparse TSMM either by using/implement sparse dsyrk

     [ https://issues.apache.org/jira/browse/SYSTEMML-935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Niketan Pansare updated SYSTEMML-935:
-------------------------------------
    Description: 
Either by adding custom kernel or using cuSparse API.

See org.apache.sysml.runtime.matrix.data.LibMatrixCUDA's matmultTSMM() method. Please move this to Phase 2 if custom kernel is required

[~nakul02]

  was:
Either by adding custom kernel or using cuSparse API.

See org.apache.sysml.runtime.matrix.data.LibMatrixCUDA's matmultTSMM() method

[~nakul02]


> Improve the performance of sparse TSMM either by using/implement sparse dsyrk
> -----------------------------------------------------------------------------
>
>                 Key: SYSTEMML-935
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-935
>             Project: SystemML
>          Issue Type: Bug
>            Reporter: Niketan Pansare
>
> Either by adding custom kernel or using cuSparse API.
> See org.apache.sysml.runtime.matrix.data.LibMatrixCUDA's matmultTSMM() method. Please move this to Phase 2 if custom kernel is required
> [~nakul02]



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