Distributed deep learning training using silicon photonic switched architectures

Distributed deep learning training using silicon photonic switched architectures

The scaling trends of deep learning models and distributed training workloads are challenging network capacities in today’s datacenters and high-performance computing (HPC) systems. We propose a system architecture that leverages silicon photonic (SiP) switch-enabled server regrouping using bandwidt...

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Bibliographic Details
Main Authors: Ziyi Zhu, Min Yee Teh, Zhenguo Wu, Madeleine Strom Glick, Shijia Yan, Maarten Hattink, Keren Bergman
Format: Article
Language:English
Published: AIP Publishing LLC 2022-03-01
Series:APL Photonics
Online Access:http://dx.doi.org/10.1063/5.0070711

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http://dx.doi.org/10.1063/5.0070711

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