Presentation
3 October 2024 Best-of-both-worlds computing in 3D-electronic-photonic-integrated-circuits (3D EPICs)
Author Affiliations +
Abstract
Photonic computing has recently attracted strong renewed interest through experimental demonstrations in integrated photonic circuits with remarkable energy-efficiency and throughput. However, photonics alone cannot achieve general-purpose data-centric computing with agility due to fundamental limitations of bosons. We discuss nanoscale 3D-electronic-photonic-integrated-circuits (3D EPICs) and their applications in future computing. The talk will be in two parts. (a) 3D EPIC neuromorphic computing systems consisting of attojoule nanoscale optoelectronic neurons and photonic synaptic neural networks to pursue scalable brain-derived computing with self-learning capability, and (b) 3D EPIC fine-grain accelerators and memory units interconnected by all-to-all photonic networks for scalable graph analytic workloads. We will further explore heterogeneous reconfigurable computing systems enabled by photonic and electronic reconfiguration in clusters with heterogeneous 3D EPICs.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. J. Ben Yoo "Best-of-both-worlds computing in 3D-electronic-photonic-integrated-circuits (3D EPICs)", Proc. SPIE PC13113, Photonic Computing: From Materials and Devices to Systems and Applications, PC1311309 (3 October 2024); https://doi.org/10.1117/12.3027325
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KEYWORDS
Computing systems

Reconfigurable computing

Bosons

Integrated photonics

Neural networks

Neurons

Optical computing

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