Edge computing with optical neural networks via WDM weight broadcasting Article Swipe

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Ryan Hamerly , Alexander Sludds , Saumil Bandyopadhyay , Liane Bernstein , Zaijun Chen , Manya Ghobadi , Dirk Englund ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1117/12.2594886

We introduce an optical neural-network architecture for edge computing that takes advantage of wavelength multiplexing, high-bandwidth modulation, and integration detection.Our protocol consists of a server and a client, which divide the task of neural-network inference into two steps: (1) a difficult step of optical weight distribution, performed at the server and (2) an easy step of modulation and integration detection, performed at the edge device.This arrangement allows for large-scale neural networks to be run on low-power edge devices accessible by an optical link.We perform simulations to estimate the speed and energy limits of this scheme.

Related Topics

Computer Science

Multiplexing

Enhanced Data Rates For Gsm Evolution

Modulation (Music)

Wavelength-Division Multiplexing

Edge Computing

Electronic Engineering

Optics

Engineering

Artificial Intelligence

Physics

Philosophy

Aesthetics

Concepts

Computer science Artificial neural network Bandwidth (computing) Multiplexing Enhanced Data Rates for GSM Evolution Edge device Modulation (music) Wavelength-division multiplexing Edge computing Computer network Electronic engineering Wavelength Telecommunications Optics Engineering Artificial intelligence Operating system Physics Philosophy Cloud computing Aesthetics

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Type: article
Language: en
Landing Page: https://doi.org/10.1117/12.2594886
PDF: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11804/2594886/Edge-computing-with-optical-neural-networks-via-WDM-weight-broadcasting/10.1117/
OA Status: gold
Cited By: 6
References: 35
Related Works: 10
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DOI: https://doi.org/10.1117/12.2594886

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Title: Edge computing with optical neural networks via WDM weight broadcasting

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Language: en

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Publication year: 2021

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Publication date: 2021-08-04

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Authors: Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Liane Bernstein, Zaijun Chen, Manya Ghobadi, Dirk Englund

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Landing page: https://doi.org/10.1117/12.2594886

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PDF URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11804/2594886/Edge-computing-with-optical-neural-networks-via-WDM-weight-broadcasting/10.1117/

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Concepts: Computer science, Artificial neural network, Bandwidth (computing), Multiplexing, Enhanced Data Rates for GSM Evolution, Edge device, Modulation (music), Wavelength-division multiplexing, Edge computing, Computer network, Electronic engineering, Wavelength, Telecommunications, Optics, Engineering, Artificial intelligence, Operating system, Physics, Philosophy, Cloud computing, Aesthetics

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Cited by: 6

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Citations by year (recent): 2024: 1, 2023: 2, 2022: 3

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References (count): 35

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