Machine-learning-aided cognitive reconfiguration for flexible-bandwidth HPC and data center networks [Invited]

Author:

Chen XiaoliangORCID,Proietti RobertoORCID,Fariborz Marjan,Liu Che-Yu,Yoo S. J. Ben

Funder

U.S. Department of Energy

National Science Foundation

U.S. Department of Defense

Army Research Office

Publisher

The Optical Society

Subject

Computer Networks and Communications

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine learning aided design and optimization of MEMS optical phased array with silicon micro mirrors for nanofabrication;Optical and Quantum Electronics;2023-10-17

2. Fast and Nondisruptive Reconfiguration Design for Optical Datacom Networks;2023 International Conference on Photonics in Switching and Computing (PSC);2023-09-26

3. New trends in photonic switching and optical networking architectures for data centers and computing systems [Invited];Journal of Optical Communications and Networking;2023-07-27

4. GRAP: Group-level Resource Allocation Policy for Reconfigurable Dragonfly Network in HPC;Proceedings of the 37th International Conference on Supercomputing;2023-06-21

5. Photonic Switching Technologies, Architectures, and Integrated-Systems for Future Disaggregated and Optically Reconfigurable Data Centers;2022 International Conference on Optical Network Design and Modeling (ONDM);2022-05-16

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