Panel-Scale Reconfigurable Photonic Interconnects for Scalable AI Computation

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Abstract

Panel-scale reconfigurable photonic interconnects on a glass substrate up to 500-mm × 500 -mm or larger are envisioned by proposing a novel photonic switch fabric that enables all directional panel-edge-to-panel-edge reach without active repeaters while offering high communication bandwidth, planar-direction reconfigurability, low energy consumption, and compelling data bandwidth density for heterogeneous integration of an in-package artificial intelligence computing system on a photonic interposer exceeding thousands of centimeters square. The proposed approach focuses on reconfigurable photonic interconnects, which are integration-compatible with commercial processor chiplets and 3-D high-bandwidth memory stacks, to create a novel panel-scale heterogeneously integrated package enabled by high-capacity wavelength-division-multiplexing optical data links using advanced optical modulators, broadband photodetector, novel optical crossbar switches with multilayer waveguides, and on-chip frequency comb sources.

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Hsueh, T. C., Lin, B., Chen, Z., & Fainman, Y. (2025). Panel-Scale Reconfigurable Photonic Interconnects for Scalable AI Computation. IEEE Open Journal of the Solid-State Circuits Society, 5, 437–453. https://doi.org/10.1109/OJSSCS.2025.3620371

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