X-NEST+:用于分布式机器学习和高性能计算的高带宽和可重构光互连

Huaxi Gu, Xiaoshan Yu, Yunfeng Lu, Hong Zou, Shuo Li
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引用次数: 0

摘要

我们提出了X-NEST+,一种可扩展的高带宽光互连,能够根据流量需求重新配置集群内和集群间的拓扑结构。实验结果表明,与Helios和RotorNet相比,HPC和ML应用的完成时间减少了8%~36%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
X-NEST+: A High Bandwidth and Reconfigurable Optical Interconnects for Distributed Machine Learning and High-Performance Computing
We propose X-NEST+, a scalable and high-bandwidth optical interconnects capable of reconfiguring both intra- and inter- cluster topology based on traffic demands. The experiment results indicate up to 8%~36% reduction in completion time for HPC and ML applications compared with Helios and RotorNet.
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