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https://issues.apache.org/jira/browse/SPARK-17134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15515491#comment-15515491
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DB Tsai commented on SPARK-17134:
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I did benchmark again. In old implementation, it takes 1.3hrs for one
iteration, and in new implementation, it takes 3.5hrs for one iteration. I ran
both experiment in the same spark job for fairness since they will get the same
# of executors. I suspect that in old implementation, we cache the standardized
dataset resulting better performance.
> Use level 2 BLAS operations in LogisticAggregator
> -------------------------------------------------
>
> Key: SPARK-17134
> URL: https://issues.apache.org/jira/browse/SPARK-17134
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Seth Hendrickson
>
> Multinomial logistic regression uses LogisticAggregator class for gradient
> updates. We should look into refactoring MLOR to use level 2 BLAS operations
> for the updates. Performance testing should be done to show improvements.
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