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The Computer Journal Advance Access published online on April 8, 2009
The Computer Journal, doi:10.1093/comjnl/bxp024
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© The Author 2009. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

A Multicast Routing Scheme for a Universal Spiking Neural Network Architecture

Jian Wu* and Steve Furber

Advanced Processor Technologies Group, School of Computer Science, The University of Manchester, Oxford Road, Manchester M13 9PL, UK

* Corresponding author: wuj{at}cs.man.ac.uk

Received 30 June 2008; revised 3 December 2008

A multicast routing infrastructure is proposed as a core feature of SpiNNaker, a massively parallel computer for the real-time simulation of large-scale spiking neural networks. The infrastructure is implemented using a communications router, based on an event-driven routing scheme, on each multicore processing node in the system. The design considerations emphasize the difference between the requirements of neural network communications and those of conventional computer networks and on-chip networks. The focus of the design is on neural modelling flexibility, power-efficiency, fault-tolerance and the communication throughput of the router.

Key Words: neural network • routing • event-driven • multicast • fault-tolerance

Handling editor: Taskin Kocak


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