Panel-Scale Reconfigurable Photonic Interconnects for Scalable AI Computation
By: Tzu-Chien Hsueh , Bill Lin , Zijun Chen and more
Potential Business Impact:
Connects computer parts with light, faster and cheaper.
Panel-scale reconfigurable photonic interconnects on a glass substrate up to 500-mm x 500-mm or larger are envisioned by proposing a novel photonic switch fabric that enables all directional panel-edge-to-panel-edge reach without the need for 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 AI computing system on a single glass-substrate photonic interposer exceeding thousands of centimeters square. The proposed approach focuses on reconfigurable photonic interconnects, which are integration-compatible with commercial processor chiplets and 3D high-bandwidth memory (HBM) stacks on a large-area glass substrate, to create a novel panel-scale heterogeneously integrated interposer or package enabling low-energy and high-capacity wavelength-division-multiplexing (WDM) optical data links using advanced high-speed optical modulators, broadband photodetectors, novel optical crossbar switches with multi-layer waveguides, and in-package frequency comb sources.
Similar Papers
Versatile silicon integrated photonic processor: a reconfigurable solution for next-generation AI clusters
Optics
Chip does many jobs for smart computers.
Programmable metasurfaces for future photonic artificial intelligence
Optics
Makes AI faster and use less power.
Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness
Optics
Makes AI chips use less energy and last longer.