Generalisation of Recursive Doubling for AllReduce

M. Ruefenacht, Mark Bull, S. Booth
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引用次数: 5

Abstract

The performance of AllReduce is crucial at scale. The recursive doubling with pairwise exchange algorithm theoretically achieves O(log2 N) scaling for short messages with N peers, but is limited by improvements in network latency. A multi-way exchange can be implemented using message pipelining, which is easier to improve than latency. Using our method, recursive multiplying, we show reductions in execution time of between 8% and 40% of AllReduce on a Cray XC30 over recursive doubling.
AllReduce的递归加倍推广
AllReduce的性能在规模上至关重要。对于具有N个对等点的短消息,使用成对交换算法的递归加倍在理论上可以实现O(log2 N)的扩展,但受到网络延迟改进的限制。可以使用消息管道实现多路交换,这比延迟更容易改进。使用我们的递归乘法方法,我们发现在Cray XC30上,与递归倍增相比,AllReduce的执行时间减少了8%到40%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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