The paper you mention references a Spark-based LU decomposition approach. AFAIK 
there is no current implementation in Spark but there is a JIRA open 
(https://issues.apache.org/jira/browse/SPARK-8514 
<https://issues.apache.org/jira/browse/SPARK-8514>) that covers this - seems to 
have gone quiet though.
-------------------------------------------------------------------------------
Robin East
Spark GraphX in Action Michael Malak and Robin East
Manning Publications Co.
http://www.manning.com/books/spark-graphx-in-action 
<http://www.manning.com/books/spark-graphx-in-action>





> On 27 Sep 2016, at 03:05, Cooper [via Apache Spark User List] 
> <ml-node+s1001560n27796...@n3.nabble.com> wrote:
> 
> How is the problem of large-scale matrix inversion approached in Apache Spark 
> ? 
> 
> This linear algebra operation is obviously the very base of a lot of other 
> algorithms (regression, classification, etc). However, I have not been able 
> to find a Spark API on parallel implementation of matrix inversion. Can you 
> please clarify approaching this operation on the Spark internals ? 
> 
> Here <http://ieeexplore.ieee.org/abstract/document/7562171/> is a paper on 
> the parallelized matrix inversion in Spark, however I am trying to use an 
> existing code instead of implementing one from scratch, if available. 
> 
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-----
Robin East 
Spark GraphX in Action Michael Malak and Robin East 
Manning Publications Co. 
http://www.manning.com/books/spark-graphx-in-action

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