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Posted to issues@spark.apache.org by "Ohad Raviv (JIRA)" <ji...@apache.org> on 2016/07/10 06:17:10 UTC

[jira] [Created] (SPARK-16469) Long running Driver task while multiplying big matrices

Ohad Raviv created SPARK-16469:
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             Summary: Long running Driver task while multiplying big matrices
                 Key: SPARK-16469
                 URL: https://issues.apache.org/jira/browse/SPARK-16469
             Project: Spark
          Issue Type: Improvement
          Components: MLlib
    Affects Versions: 2.0.0
            Reporter: Ohad Raviv
            Priority: Minor
             Fix For: 2.0.0


We have a use case of multiplying very big sparse matrices. we have about 1000x1000 distributed block matrices multiplication and the simulate multiply goes like O(n^4) (n being 1000). it takes about 1.5 hours. We modified it slightly with classical hashmap and now run in about 30 seconds O(n^2).



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