A multicast routing scheme for a universal spiking neural network architecture

Jian Wu, Steve Furber

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)280-288
Number of pages8
JournalComputer Journal
Issue number3
Publication statusPublished - Mar 2010


  • Event-driven
  • Fault-tolerance
  • Multicast
  • Neural network
  • Routing


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