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Posted to issues@systemml.apache.org by "Niketan Pansare (JIRA)" <ji...@apache.org> on 2016/09/18 21:01:20 UTC

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

Niketan Pansare created SYSTEMML-933:
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             Summary: 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: Improvement
            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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