Scalable cortical simulations on Beowulf architectures


Claverol, E.T., Brown, A.D. and Chad, J.E. (2002) Scalable cortical simulations on Beowulf architectures. Neurocomputing, 43, (1), 307-315. (doi:10.1016/S0925-2312(01)00668-3).

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Description/Abstract

Biologically motivated simulation of large scale neural networks is a computationally costly task. In this paper, a commodity 8-node Beowulf architecture is proposed as a scalable low cost environment for studies of cortical dynamics, By means of a distributed message-based event-driven framework, the size of memory-limited tractable problems increased 8-fold, resulting in a mere 8.3% increase in elapsed CPU time, attributable to inter-process communication overhead. The attainable network size reached over 106 neu- rons and 2.5 x 108 synapses, with a typical performance of 900 s, Beowulf processing time, per simulated second. (C) 2002 Elsevier Science B.V. All rights reserved.

Item Type: Article
ISSNs: 0925-2312 (print)
Related URLs:
Keywords: cellular automata neuronal networks
Subjects: Q Science > QP Physiology
Divisions: University Structure - Pre August 2011 > School of Biological Sciences
ePrint ID: 37943
Date Deposited: 26 May 2006
Last Modified: 27 Mar 2014 18:24
Contact Email Address: jchad@soton.ac.uk
URI: http://eprints.soton.ac.uk/id/eprint/37943

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