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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2014/09/08 09:14:28 UTC

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

Xiangrui Meng created SPARK-3434:
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             Summary: 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


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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