[jira] [Resolved] (SPARK-3434) Distributed block matrix

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-3434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-3434.
---------------------------------
    Resolution: Incomplete

> Distributed block matrix
> ------------------------
>
>                 Key: SPARK-3434
>                 URL: https://issues.apache.org/jira/browse/SPARK-3434
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Xiangrui Meng
>            Assignee: Shivaram Venkataraman
>            Priority: Major
>              Labels: bulk-closed
>
> This JIRA is for discussing distributed matrices stored in block sub-matrices. The main challenge is the partitioning scheme to allow adding linear algebra operations in the future, e.g.:
> 1. matrix multiplication
> 2. matrix factorization (QR, LU, ...)
> Let's discuss the partitioning and storage and how they fit into the above use cases.
> Questions:
> 1. Should it be backed by a single RDD that contains all of the sub-matrices or many RDDs with each contains only one sub-matrix?



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