Distributed computing and modeling & simulation: Speeding up simulations and creating large models

Distributed computing has many opportunities for Modeling and Simulation (M&S). Grid computing approaches have been developed that can use multiple computers to reduce the processing time of an application. In terms of M&S this means simulations can be run very quickly by distributing indivi...

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Bibliographic Details
Main Authors: Taylor, S. J. E., Ghorbani, M., Mustafee, N., Turner, S. J., Kiss, T., Farkas, D., Kite, S., Strassburger, S.
Format: Conference Proceeding
Language:English
Subjects:
Biological system modeling
Computational modeling
Computers
Data models
Educational institutions
Grid computing
Software
Online Access:Request full text
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Summary:Distributed computing has many opportunities for Modeling and Simulation (M&S). Grid computing approaches have been developed that can use multiple computers to reduce the processing time of an application. In terms of M&S this means simulations can be run very quickly by distributing individual runs over locally or remotely available computing resources. Distributed simulation techniques allow us to link together models over a network enabling the creation of large models and/or models that could not be developed due to data sharing or model reuse problems. Using real-world examples, this advanced tutorial discusses how both approaches can be used to benefit M&S researchers and practitioners alike.
ISSN:0891-7736
1558-4305
DOI:10.1109/WSC.2011.6147748