GitHub user dbtsai opened a pull request:
https://github.com/apache/spark/pull/2992
[SPARK-4129][MLlib] Performance tuning in MultivariateOnlineSummarizer
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.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/AlpineNow/spark SPARK-4129
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/2992.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2992
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commit ebe3e74df70eb424aecc3170fc55008cfb6a76ec
Author: DB Tsai <dbt...@alpinenow.com>
Date: 2014-10-29T05:42:50Z
First commit
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