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Design for robust and efficient neuromorphic photonic accelerator

Authors :
Samarth Aggarwal
Bowei Dong
June Sang Lee
Mengyun Wang
Andrew Katumba
Peter Bienstmana
Harish Bhaskaran
Source :
2022 IEEE International Conference on Emerging Electronics (ICEE)
Publication Year :
2022

Abstract

In this work, we propose a novel architecture for building a robust integrated photonic neuromorphic accelerator based on a crossbar array design. Our architecture is based on an asymmetric multimode Y-coupler. A Y-coupler has the inherent benefit of high fabrication tolerance and broad optical bandwidth. From simulations, we show that our proposed Y-coupler has high coupling efficiency. Using modal decomposition analysis of our coupler, we numerically estimate the energy efficiency performance of a large-scale photonic network and show a 10% improvement in energy efficiency for large-scale photonic networks with high fabrication tolerance and broadband application and a small footprint.

Subjects

Subjects :
Technology and Engineering

Details

Language :
English
ISBN :
978-1-66549-185-3
ISBNs :
9781665491853
Database :
OpenAIRE
Journal :
2022 IEEE International Conference on Emerging Electronics (ICEE)
Accession number :
edsair.doi.dedup.....27fa001e1206ebf7e3ab2f7f72df4d61