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From "Glenn Weidner (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SYSTEMML-1138) Exception thrown when a GPU sparse-sparse matrix multiply is performed
Date Sat, 09 Sep 2017 04:52:00 GMT

     [ https://issues.apache.org/jira/browse/SYSTEMML-1138?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Glenn Weidner updated SYSTEMML-1138:
------------------------------------
    Fix Version/s:     (was: SystemML 1.0)
                   SystemML 0.12

> Exception thrown when a GPU sparse-sparse matrix multiply is performed
> ----------------------------------------------------------------------
>
>                 Key: SYSTEMML-1138
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1138
>             Project: SystemML
>          Issue Type: Bug
>            Reporter: Nakul Jindal
>            Assignee: Nakul Jindal
>             Fix For: SystemML 0.12
>
>
> For a simple program like so:
> A = rand(rows=50000, cols=100000, sparsity=0.0003)
> B = rand(rows=100000, cols=100, sparsity=0.7)
> C = A %*% B
> print(toString(C))
> This is the exception:
> Caused by: jcuda.CudaException: cudaErrorIllegalAddress
> 	at jcuda.runtime.JCuda.checkResult(JCuda.java:460)
> 	at jcuda.runtime.JCuda.cudaDeviceSynchronize(JCuda.java:7361)
> 	at org.apache.sysml.runtime.instructions.gpu.context.JCudaObject.columnMajorDenseToRowMajorSparse(JCudaObject.java:1130)
> 	at org.apache.sysml.runtime.matrix.data.LibMatrixCUDA.sparseDenseMatmult(LibMatrixCUDA.java:668)
> 	at org.apache.sysml.runtime.matrix.data.LibMatrixCUDA.eitherSparseMatmult(LibMatrixCUDA.java:573)
> 	at org.apache.sysml.runtime.matrix.data.LibMatrixCUDA.matmult(LibMatrixCUDA.java:538)
> 	at org.apache.sysml.runtime.instructions.gpu.AggregateBinaryGPUInstruction.processInstruction(AggregateBinaryGPUInstruction.java:98)
> 	at org.apache.sysml.runtime.controlprogram.ProgramBlock.executeSingleInstruction(ProgramBlock.java:290)



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