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From "DB Tsai (JIRA)" <>
Subject [jira] [Created] (SPARK-4129) Performance tuning in MultivariateOnlineSummarizer
Date Wed, 29 Oct 2014 05:39:34 GMT
DB Tsai created SPARK-4129:

             Summary: Performance tuning in MultivariateOnlineSummarizer
                 Key: SPARK-4129
             Project: Spark
          Issue Type: Improvement
          Components: MLlib
            Reporter: DB Tsai

In MultivariateOnlineSummarizer, breeze's activeIterator is used to loop through the nonZero
elements in the vector. However, activeIterator doesn't perform well due to lots of overhead.
In this PR, native while loop is used for both DenseVector and SparseVector.

The benchmark result with 20 executors using mnist8m dataset:

DenseVector: 48.2 seconds
SparseVector: 16.3 seconds

DenseVector: 17.8 seconds
SparseVector: 11.2 seconds

Since MultivariateOnlineSummarizer is used in several places, the overall performance gain
in mllib library will be significant with this PR. 

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