DocumentCode :
1955418
Title :
Biologically-Inspired Massively-Parallel Architectures - Computing Beyond a Million Processors
Author :
Furber, Steve ; Brown, Andrew
Author_Institution :
Univ. of Manchester, Manchester, UK
fYear :
2009
fDate :
1-3 July 2009
Firstpage :
3
Lastpage :
12
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.
Keywords :
biology computing; microprocessor chips; neural nets; parallel architectures; SpiNNaker project; biological neurons; biologically-inspired massively-parallel architectures; emergency hardware packet re-routing; fault tolerance; functional migration; glitch-induced deadlock; million embedded processors; parallel computer systems; power efficiency; real-time fault mitigation; self-timed inter-chip communication system; spiking neurons; Application software; Biological system modeling; Biology computing; Computational modeling; Computer architecture; Concurrent computing; Embedded computing; Large-scale systems; Neurons; Real time systems; Massively-parallel; fault-tolerance; neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Concurrency to System Design, 2009. ACSD '09. Ninth International Conference on
Conference_Location :
Augsburg
ISSN :
1550-4808
Print_ISBN :
978-0-7695-3697-2
Type :
conf
DOI :
10.1109/ACSD.2009.17
Filename :
5291092
Link To Document :
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