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https://issues.apache.org/jira/browse/SPARK-8514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14641319#comment-14641319
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Jerome commented on SPARK-8514:
-------------------------------
If this is still open, I'd like to try it out. We are interested in building
up expertise in the linear algebra routines in both Spark and SystemML, and
this would be a great way for me to get started.
> 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
>
> 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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