Maintaining real-time synchrony on SpiNNaker

Authors:
Sergio Davies;Alexander D. Rast;Francesco Galluppi;Steve B. Furber
Affiliations:
The University of Manchester, Manchester, U. K.;The University of Manchester, Manchester, U. K.;The University of Manchester, Manchester, U. K.;The University of Manchester, Manchester, U. K.
Venue:
Proceedings of the 8th ACM International Conference on Computing Frontiers
Year:
2011

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Abstract

As an asynchronous universal multiprocessor for real-time neural simulation, SpiNNaker presents timing concerns not present in synchronous systems. In this paper we present a series of tools that solve the problem of synchronising a multichip distributed simulation containing multiple independent time domains. These tools hint at an important neural modelling capability of the SpiNNaker system: the ability to decouple the system time from the model time, leading to an abstract-time neural modelling platform.