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 |
| Item ID: | 37943 |
| Date Deposited: | 26 May 2006 |
| Last Modified: | 01 Jun 2011 04:25 |
| Contributors: | Claverol, E.T. (Author) Brown, A.D. (Author) Chad, J.E. (Author) |
| Date: | 2002 |
| Status: | Published |
| Contact Email Address: | jchad@soton.ac.uk |
| URI: | http://eprints.soton.ac.uk/id/eprint/37943 |
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