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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2014/05/16 13:02:08 UTC

[jira] [Updated] (SPARK-1485) Implement AllReduce

     [ https://issues.apache.org/jira/browse/SPARK-1485?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-1485:
---------------------------------

    Fix Version/s: 1.1.0

> 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
>            Priority: Critical
>             Fix For: 1.1.0
>
>
> 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.



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