[jira] [Commented] (SPARK-8514) LU factorization on BlockMatrix

["Jerome (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-8514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15238300#comment-15238300 ] 

Jerome commented on SPARK-8514:
-------------------------------

Hello Joseph:

Is this JIRA still under consideration?

Best, Jerome

On Tue, Apr 12, 2016 at 4:56 PM, Joseph K. Bradley (JIRA) <ji...@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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