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Conferences > OFC > 2022 > Th1G > Th1G.2

Accelerating Distributed Machine Learning in Disaggregated Architectures with Flexible Optically Interconnected Computing Resources

Shijia Yan, Ziyi Zhu, Madeleine S. Glick, Zhenguo Wu, and Keren Bergman

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Abstract

We introduce an optically interconnected disaggregated architecture for GPU resources and demonstrate a 3× increase in GPU utilization and up to 73.2% acceleration of application runtime for distributed machine learning workloads.

© 2022 The Author(s)

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