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Parallelising Multi-agent Systems for High Performance Computing

Authors:
Paulo Leitao
Udo Inden
Claus-Peter Rückemann

Keywords: Multi-Agent Systems; High Performance Computing; Parallel systems; Risk Management

Abstract:
Multi-Agent Systems (MAS) are seen as a promising technology to face the current requirements of large-scale distributed and complex systems, e.g., autonomous traffic systems or risk management. The application of MAS to such large scale systems, characterised by millions of distributed nodes, imposes special demanding requirements in terms of fast computation. The paper discusses the parallelisation of MAS solutions using larger-scale distributed High End Computing platforms as well as High Performance Computing as a suitable approach to handle the complexity associated to collaborative solutions for large-scale systems.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2013

Publication date: November 17, 2013

Published in: conference

ISSN: 2308-3484

ISBN: 978-1-61208-310-0

Location: Lisbon, Portugal

Dates: from November 17, 2013 to November 21, 2013