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  1. Spark
  2. SPARK-1485

Implement AllReduce

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    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Critical
    • Resolution: Won't Fix
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: MLlib
    • Labels:
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      Description

      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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              • Assignee:
                mengxr Xiangrui Meng
                Reporter:
                mengxr Xiangrui Meng
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                • Created:
                  Updated:
                  Resolved: