• DocumentCode
    1805747
  • Title

    SpiNNaker: A multi-core System-on-Chip for massively-parallel neural net simulation

  • Author

    Painkras, Eustace ; Plana, Luis A. ; Garside, Jim ; Temple, Steve ; Davidson, Simon ; Pepper, Jeffrey ; Clark, David ; Patterson, Cameron ; Furber, Steve

  • Author_Institution
    Univ. of Manchester, Manchester, UK
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The modelling of large systems of spiking neurons is computationally very demanding in terms of processing power and communication. SpiNNaker is a massively-parallel computer system designed to model up to a billion spiking neurons in real time. The basic block of the machine is the SpiNNaker multicore System-on-Chip, a Globally Asynchronous Locally Synchronous (GALS) system with 18 ARM968 processor nodes residing in synchronous islands, surrounded by a light-weight, packet-switched asynchronous communications infrastructure. The MPSoC contains 100 million transistors in a 102 mm2 die, provides a peak performance of 3.96 GIPS and has a power consumption of 1W at 1.2V when all processor cores operate at nominal frequency. SpiNNaker chips were delivered in May 2011, were fully operational, and met power and performance requirements.
  • Keywords
    digital simulation; microprocessor chips; multiprocessing systems; neural nets; parallel processing; system-on-chip; ARM968 processor nodes; GALS system; MPSoC; SpiNNaker; globally asynchronous locally synchronous system; massively-parallel computer system; massively-parallel neural net simulation; multicore system-on-chip; packet-switched asynchronous communications infrastructure; power 1 W; spiking neurons; synchronous islands; voltage 1.2 V; Brain modeling; Clocks; Computational modeling; Decoding; Neurons; SDRAM; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Custom Integrated Circuits Conference (CICC), 2012 IEEE
  • Conference_Location
    San Jose, CA
  • ISSN
    0886-5930
  • Print_ISBN
    978-1-4673-1555-5
  • Electronic_ISBN
    0886-5930
  • Type

    conf

  • DOI
    10.1109/CICC.2012.6330636
  • Filename
    6330636