• 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