SpiNNaker: Distributed Computer Engineering for Neuromorphics

David Lester, Steve Furber

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


SpiNNaker is a biologically-inspired massively-parallel computer architecture optimized specifically for modeling large-scale systems of spiking neurons in biological real time. The biological inspiration is manifest in the lightweight inter-processor communications architecture, which enables a “spike” generated by a neuron modeled on one processor to be transmitted to all of the processors modeling neurons that the source neuron connects to in zero biological time (which we take to be a time much less than a millisecond). The design of such a machine is based upon achieving a balance between the processing power required to execute the neuron and synapse models, the memory hierarchy required to maintain neuron and synapse state sufficiently close to the respective processor, and a communications infrastructure that can meet the latency and bandwidth constraints of the target application.
Original languageEnglish
Title of host publicationNeural Nets WIRN11 - Proceedings of the 21st Italian Workshop on Neural Nets
PublisherIOS Press
Number of pages8
ISBN (Print)978-1-60750-971-4
Publication statusPublished - 2011
EventFrontiers in Artificial Intelligence and Applications -
Duration: 1 Jan 1824 → …


ConferenceFrontiers in Artificial Intelligence and Applications
Period1/01/24 → …


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