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Posted to issues@systemml.apache.org by "Niketan Pansare (JIRA)" <ji...@apache.org> on 2016/09/19 03:54:20 UTC

[jira] [Updated] (SYSTEMML-933) Chose the block dimensions of custom kernels using CUDA's occupancy API

     [ https://issues.apache.org/jira/browse/SYSTEMML-933?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Niketan Pansare updated SYSTEMML-933:
-------------------------------------
    Issue Type: Sub-task  (was: Improvement)
        Parent: SYSTEMML-447

> Chose the block dimensions of custom kernels using CUDA's occupancy API
> -----------------------------------------------------------------------
>
>                 Key: SYSTEMML-933
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-933
>             Project: SystemML
>          Issue Type: Sub-task
>            Reporter: Niketan Pansare
>
> See https://devblogs.nvidia.com/parallelforall/cuda-pro-tip-occupancy-api-simplifies-launch-configuration/. 
> Modify org.apache.sysml.runtime.instructions.gpu.context.ExecutionConfig's getConfigForSimpleMatrixOperations and getConfigForSimpleVectorOperations methods
> Test case before merging (try on different CUDA versions): org.apache.sysml.test.integration.functions.binary.matrix_full_other



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