Dynamically Retraceable Optical Switching Reconfiguration Scheme for Accelerating Distributed Machine Learning
This paper proposes a reconfigurable configuration scheme for optical interconnect data center networks by introducing the dynamic retraceable algorithm. Simulation results show the proposed scheme significantly reduces packet latency and accelerates distributed machine learning. Keywords: Switching architectures, Optical switching, reconfigurable network, distributed machine learning
Authors
- Hui Yang (ORCID: https://orcid.org/0009-0005-2034-7735)
- Changsheng Yang (ORCID: https://orcid.org/0000-0003-3824-1128)
- Qiuyan Yao (ORCID: https://orcid.org/0000-0001-8753-6489)
- Yun Teng (ORCID: https://orcid.org/0000-0002-1278-7117)
- Jie Zhang (ORCID: https://orcid.org/0000-0003-4335-3546)
- Zhao Li
Institutions
- Beijing University of Posts and Telecommunications (CN)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11110938
- Primary Topic
- Advanced Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China