spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "DB Tsai (JIRA)" <>
Subject [jira] [Commented] (SPARK-17134) Use level 2 BLAS operations in LogisticAggregator
Date Fri, 23 Sep 2016 05:49:20 GMT


DB Tsai commented on SPARK-17134:

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:
>             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.

This message was sent by Atlassian JIRA

To unsubscribe, e-mail:
For additional commands, e-mail:

View raw message