[
https://issues.apache.org/jira/browse/SPARK-1485?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13978044#comment-13978044
]
Xiangrui Meng commented on SPARK-1485:
--------------------------------------
PR: https://github.com/apache/spark/pull/506
> Implement AllReduce
> -------------------
>
> Key: SPARK-1485
> URL: https://issues.apache.org/jira/browse/SPARK-1485
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
>
> The current implementations of machine learning algorithms rely on the driver
> for some computation and data broadcasting. This will create a bottleneck at
> the driver for both computation and communication, especially in multi-model
> training. An efficient implementation of AllReduce (or AllAggregate) can help
> free the driver:
> allReduce(RDD[T], (T, T) => T): RDD[T]
> This JIRA is created for discussing how to implement AllReduce efficiently
> and possible alternatives.
--
This message was sent by Atlassian JIRA
(v6.2#6252)
