Biologically-inspired massively-parallel architectures- Computing beyond a million processors

Steve Furber, Andrew Brown

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

Abstract

The SpiNNaker project aims to develop parallel computer systems with more than a million embedded processors. The goal of the project is to support large-scale simulations of systems of spiking neurons in biological real time, an application that is highly parallel but also places very high loads on the communication infrastructure due to the very high connectivity of biological neurons. The scale of the machine requires fault-tolerance and power-efficiency to influence the design throughout, and the development has resulted in innovation at every level of design, including a self-timed inter-chip communication system that is resistant to glitch-induced deadlock and 'emergency' hardware packet re-routing around failed inter-chip links, through to run-time support for functional migration and real-time fault mitigation. © 2009 IEEE.
Original languageEnglish
Title of host publicationProceedings - International Conference on Application of Concurrency to System Design, ACSD|Proc. Int. Conf. Appl. Concurrency Syst. Des. ACSD
Place of PublicationUSA
PublisherIEEE
Pages3-12
Number of pages9
ISBN (Print)9780769536972
DOIs
Publication statusPublished - 2009
EventACSD 2009 - 9th International Conference on Application of Concurrency to System Design - Augsburg
Duration: 1 Jul 2009 → …

Conference

ConferenceACSD 2009 - 9th International Conference on Application of Concurrency to System Design
CityAugsburg
Period1/07/09 → …

Keywords

  • biology computing , microprocessor chips , neural nets , parallel architectures

Fingerprint

Dive into the research topics of 'Biologically-inspired massively-parallel architectures- Computing beyond a million processors'. Together they form a unique fingerprint.

Cite this