DocumentCode
14408
Title
Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing
Author
Tait, Alexander N. ; Nahmias, Mitchell A. ; Shastri, Bhavin J. ; Prucnal, Paul R.
Author_Institution
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
Volume
32
Issue
21
fYear
2014
fDate
Nov.1, 1 2014
Firstpage
4029
Lastpage
4041
Abstract
We propose an on-chip optical architecture to support massive parallel communication among high-performance spiking laser neurons. Designs for a network protocol, computational element, and waveguide medium are described, and novel methods are considered in relation to prior research in optical on-chip networking, neural networking, and computing. Broadcast-and-weight is a new approach for combining neuromorphic processing and optoelectronic physics, a pairing that is found to yield a variety of advantageous features. We discuss properties and design considerations for architectures for scalable wavelength reuse and biologically relevant organizational capabilities, in addition to aspects of practical feasibility. Given recent developments commercial photonic systems integration and neuromorphic computing, we suggest that a novel approach to photonic spike processing represents a promising opportunity in unconventional computing.
Keywords
integrated optics; optical information processing; computational element; laser neurons; network protocol; neural networking; neuromorphic computing; neuromorphic processing; on-chip optical architecture; optical on-chip networking; optoelectronic physics; photonic spike processing; photonic systems integration; waveguide medium; Computer architecture; Neurons; Optical fiber networks; Optical receivers; Optical waveguides; Photonics; Wavelength division multiplexing; Asynchronous circuits; WDM networks; network topology; neuromorphics; optical computing; optical interconnects; photonic integrated circuits; spiking neural networks; system analysis and design;
fLanguage
English
Journal_Title
Lightwave Technology, Journal of
Publisher
ieee
ISSN
0733-8724
Type
jour
DOI
10.1109/JLT.2014.2345652
Filename
6872524
Link To Document