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https://issues.apache.org/jira/browse/SPARK-8514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15238300#comment-15238300
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Jerome commented on SPARK-8514:
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Hello Joseph:
Is this JIRA still under consideration?
Best, Jerome
On Tue, Apr 12, 2016 at 4:56 PM, Joseph K. Bradley (JIRA) <j...@apache.org>
--
Jerome Nilmeier, PhD
Cell: 510-325-8695
Home: 925-292-5321
> 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
> Priority: Critical
> 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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