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A Massively-Parallel Computer for Real-Time Neural Modelling

Date: Thursday 1st March at 7:00pm (Tea at 6:30pm)
Presenter: Prof. Steve Furber, University of Manchester
Venue: Lecture Theatre 1, Computer Lab, William Gates Building, JJ Thomson Ave, Cambridge
Organiser: IET/BCS/ACM Joint Lecture
Synopsis: The real-time modelling of large systems of spiking neurons is computationally very demanding in terms of processing power, synaptic weight memory requirements and communication throughput. We propose to build a high-performance computer for this purpose with a multicast communications infrastructure inspired by neurobiology. The core component will be a chip multiprocessor incorporating some tens of small embedded processors, interconnected by an NoC (Network on Chip) that carries spike events between processors on the same or different chips. The design emphasizes modelling flexibility, power-efficiency, and fault-tolerance, and is intended to yield a general-purpose platform for the real-time simulation of large-scale spiking neural systems.

Here is a map of the venue .

All visitors welcome



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