[
https://issues.apache.org/jira/browse/SPARK-8514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14701770#comment-14701770
]
Jerome edited comment on SPARK-8514 at 8/18/15 6:44 PM:
--------------------------------------------------------
I added a draft of the BlockMatrix LU decomposition...I'm still testing it but
I'd love to get some feedback as I start to implement it in the spark source
There are some python notebooks outlining the method. Cheers, J
was (Author: nilmeier):
I just added a draft of the BlockMatrix LU decomposition...I'm still testing it
but I'd love to get some feedback as I start to implement it in the spark
source There are some python notebooks outlining the method. Cheers, J
> 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, 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: [email protected]
For additional commands, e-mail: [email protected]
