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    Overview of the SpiNNaker system architecture

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    Authors
    Furber, Steve B.
    Lester, David R.
    Plana, Luis A.
    Garside, Jim D.
    Painkras, Eustace
    Temple, Steve
    Brown, Andrew D.
    Issue Date
    2012
    Subjects
    interconnection architectures
    
    Metadata
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    Abstract
    SpiNNaker (a contraction of Spiking Neural Network Architecture) is a million-core computing engine whose flagship goal is to be able to simulate the behaviour of aggregates of up to a billion neurons in real time. It consists of an array of ARM9 cores, communicating via packets carried by a custom interconnect fabric. The packets are small (40 or 72 bits), and their transmission is brokered entirely by hardware, giving the overall engine an extremely high bisection bandwidth of over 5 billion packets/s. Three of the principle axioms of parallel machine design -- memory coherence, synchronicity and determinism -- have been discarded in the design without, surprisingly, compromising the ability to perform meaningful computations. A further attribute of the system is the acknowledgement, from the initial design stages, that the sheer size of the implementation will make component failures an inevitable aspect of day-to-day operation, and fault detection and recovery mechanisms have been built into the system at many levels of abstraction. This paper describes the architecture of the machine and outlines the underlying design philosophy; software and applications are to be described in detail elsewhere, and only introduced in passing here as necessary to illuminate the description
    Citation
    Furber, S.; Lester, D.; Plana, L.; Garside, J.; Painkras, E.; Temple, S. and Brown, A. (2012) 'Overview of the SpiNNaker System Architecture',1 IEEE Transactions on Computers, 99 pp. 1-14
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    Journal
    IEEE Transactions on Computers
    URI
    http://hdl.handle.net/10547/279164
    DOI
    10.1109/TC.2012.142
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6226357
    Type
    Article
    Language
    en
    ISSN
    0018-9340
    ae974a485f413a2113503eed53cd6c53
    10.1109/TC.2012.142
    Scopus Count
    Collections
    Centre for Research in Distributed Technologies (CREDIT)

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