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Posted to issues@systemml.apache.org by "Glenn Weidner (JIRA)" <ji...@apache.org> on 2017/09/09 04:52:00 UTC
[jira] [Updated] (SYSTEMML-1138) Exception thrown when a GPU
sparse-sparse matrix multiply is performed
[ 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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