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https://issues.apache.org/jira/browse/SPARK-1485?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-1485:
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Affects Version/s: (was: 1.0.0)
> 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
>
> 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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