• DocumentCode
    1997600
  • Title

    Evaluating on-chip interconnects for low operating frequency silicon neuron arrays

  • Author

    Cassidy, Andrew ; Murray, Thomas ; Andreou, Andreas G. ; Georgiou, Julius

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    2437
  • Lastpage
    2440
  • Abstract
    We present a quantitative analysis of the limits of the time-multiplexed Address Event Representation (AER) bus for on-chip connectivity of silicon neuron arrays. In particular, we evaluate its potential to support high density and low power neural arrays operating in the subthreshold regime. Our analysis shows that due to low clock frequencies when operating in the subthreshold regime, the traditional single AER bus does not scale to large neural arrays. We find that a switched mesh network improves scalability, however, a crosspoint architecture overcomes the bandwidth limitations altogether. By trading off area for improved performance, it increases the number of neurons that can be supported in a single chip neural array.
  • Keywords
    elemental semiconductors; integrated circuit interconnections; low-power electronics; neural chips; silicon; Si; bandwidth limitation; crosspoint architecture; low clock frequency; low operating frequency silicon neuron array; low power single chip neural array; on-chip interconnect evaluation; quantitative analysis; switched mesh network; time-multiplexed AER bus; time-multiplexed address event representation bus; Bandwidth; Computer architecture; Integrated circuit interconnections; Neurons; Routing; Silicon; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4244-9473-6
  • Electronic_ISBN
    0271-4302
  • Type

    conf

  • DOI
    10.1109/ISCAS.2011.5938096
  • Filename
    5938096