spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Jerome (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-8514) LU factorization on BlockMatrix
Date Wed, 13 Apr 2016 00:17:25 GMT

    [ 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) <jira@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



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message