[
https://issues.apache.org/jira/browse/SPARK-8514?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng updated SPARK-8514:
---------------------------------
Target Version/s: 2.0.0 (was: )
> 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-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
