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https://issues.apache.org/jira/browse/SPARK-4129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14188037#comment-14188037
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Apache Spark commented on SPARK-4129:
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User 'dbtsai' has created a pull request for this issue:
https://github.com/apache/spark/pull/2992
> Performance tuning in MultivariateOnlineSummarizer
> --------------------------------------------------
>
> Key: SPARK-4129
> URL: https://issues.apache.org/jira/browse/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:
> Before:
> DenseVector: 48.2 seconds
> SparseVector: 16.3 seconds
> After:
> 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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