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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] -- This message was sent by Atlassian JIRA (v6.3.4#6332)