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Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing

Journal of Lightwave Technology · 2014 · Vol. 32(21) · pp. 4029–4041
Alexander N. TaitMitchell A. NahmiasBhavin J. ShastriPaul R. Prucnal

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.

Neural Networks and Reservoir ComputingPhotonic and Optical DevicesAdvanced Memory and Neural ComputingNeuromorphic engineeringComputer scienceScalabilityPhotonicsSpike (software development)Computer architectureArtificial neural networkDistributed computingElectronic engineeringArtificial intelligence
Citations
454
FWCI
20.79
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References
78
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