Petascale photonic connectivity for energy efficient AI computing (Conference Presentation)

Keren Bergman

doi:10.1117/12.2641797

4 October 2022 Petascale photonic connectivity for energy efficient AI computing (Conference Presentation)

Keren Bergman

Author Affiliations +

Proceedings Volume PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022; PC1220401 (2022) https://doi.org/10.1117/12.2641797
Event: SPIE Nanoscience + Engineering, 2022, San Diego, California, United States

Abstract

High performance data centers are increasingly bottlenecked by the energy and communications costs of interconnection networks. Our recent work has shown how integrated silicon photonics with comb-driven dense wavelength-division multiplexing can scale to realize Pb/s chip escape bandwidths with sub-picojoule/bit energy consumption. We use this emerging interconnect technology to introduce the concept of embedded photonics for deeply disaggregated architectures. Beyond alleviating the bandwidth/energy bottlenecks, the new architectural approach enables flexible connectivity tailored for specific applications.

Conference Presentation

Citation Download Citation

Keren Bergman "Petascale photonic connectivity for energy efficient AI computing (Conference Presentation)", Proc. SPIE PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022, PC1220401 (4 October 2022); https://doi.org/10.1117/12.2641797

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