GATSBY COMPUTATIONAL NEUROSCIENCE UNIT
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Steve Furber

School of Computer Science, University of Manchester, UK

 

Wednesday 25 November 2009

16.00

Seminar Room B10 (Basement)

Alexandra House, 17 Queen Square, London, WC1N 3AR

 

Biologically-Inspired Massively-Parallel Architectures - computing beyond a million processors

 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.