Optical switching for AI computing systems
We explore the applications of optical switching in AI clusters. We present a Layer-1 Software-Defined Network (SDN) that extends network programmability to the physical layer, and we investigate its applications in enhancing failure resilience and enabling topology reconfiguration for deep learning workloads.
Authors
- Prethvi Kashinkunti
- Giannis Patronas
- Eitan Zahavi (ORCID: https://orcid.org/0000-0003-0679-7850)
- Dimitris Syrivelis (ORCID: https://orcid.org/0000-0002-2344-5665)
- Paraskevas Bakopoulos (ORCID: https://orcid.org/0000-0002-3635-1641)
- Elad Mentovich
- Julie Bernauer (ORCID: https://orcid.org/0000-0003-2345-995X)
- N. Argyris (ORCID: https://orcid.org/0000-0002-3079-6279)
- Zsolt-Alon Wertheimer
- Louis Capps
- Craig Thompson
- Avraham Ganor
- Athanasios Fevgas
- Nikos Terzenidis
Institutions
- Nvidia (United Kingdom) (GB)
- Nvidia (United States) (US)
Publication Details
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1117/12.3048931
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00