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https://issues.apache.org/jira/browse/SPARK-8514?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jerome updated SPARK-8514:
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Attachment: testImplementation.scala
another test script with a more efficient random matrix generation routine.
This will likely be used for more timings.
> LU factorization on BlockMatrix
> -------------------------------
>
> Key: SPARK-8514
> URL: https://issues.apache.org/jira/browse/SPARK-8514
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Xiangrui Meng
> Labels: advanced
> Attachments: BlockMatrixSolver.pdf, BlockPartitionMethods.py,
> BlockPartitionMethods.scala, LUBlockDecompositionBasic.pdf, Matrix
> Factorization - M...ark 1.5.0 Documentation.pdf, testImplementation.scala,
> testScript.scala
>
>
> LU is the most common method to solve a general linear system or inverse a
> general matrix. A distributed version could in implemented block-wise with
> pipelining. A reference implementation is provided in ScaLAPACK:
> http://netlib.org/scalapack/slug/node178.html
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