Distributed Neurosimulation

Hans-Jörg Mettenheim () and Michael Breitner ()
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Hans-Jörg Mettenheim: Universität Hannover

A chapter in Operations Research Proceedings 2005, 2006, pp 747-752 from Springer

Abstract: Summary Distributed computing allows to combine the computing power of miscellaneous computers. The computers may be at different locations as long as they are connected via a network, e. g. the Internet or an intranet. In this paper the development of a distributed computing version of the neurosimulator FAUN (Fast Approximation with Universal Neural Networks) is described. This offers the opportunity to use free computing resources, e. g. of a student and staff computer cluster. An easy to install client is part of the development work. The combined computation power is necessary for, e. g., fast forecasting or fast simulation problems to be solved with FAUN which would otherwise take hours or days on a single processor computer. Problems which computation time can be shortened significantly by distributed computing with FAUN include, but are not limited to, dynamic games, robust optimal reentry guidance of a space shuttle and currency forecasting.

Keywords: Grid Computing; Message Passing Interface; High Performance Computing; Dynamic Game; Grid Computer (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-540-32539-0_117

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DOI: 10.1007/3-540-32539-5_117

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