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International Parallel and Distributed Processing Symposium (IPDPS'03)
A Grid-Enabled Problem Solving Environment (PSE) for Design Optimisation within Matlab
Nice, France
April 22-April 26
ISBN: 0-7695-1926-1
ASCII Text
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G. E. Pound, M. H. Eres, J. L. Wason, Z. Jiao, A. J. Keane, S. J. Cox, "A Grid-Enabled Problem Solving Environment (PSE) for Design Optimisation within Matlab," Parallel and Distributed Processing Symposium, International, pp. 50a, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003.
 
 
BibTex
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@article{ 10.1109/IPDPS.2003.1213140,
author = {G. E. Pound and M. H. Eres and J. L. Wason and Z. Jiao and A. J. Keane and S. J. Cox},
title = {A Grid-Enabled Problem Solving Environment (PSE) for Design Optimisation within Matlab},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {0},
year = {2003},
issn = {1530-2075},
pages = {50a},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213140},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - A Grid-Enabled Problem Solving Environment (PSE) for Design Optimisation within Matlab
SN - 1530-2075
SP
EP
A1 - G. E. Pound,
A1 - M. H. Eres,
A1 - J. L. Wason,
A1 - Z. Jiao,
A1 - A. J. Keane,
A1 - S. J. Cox,
PY - 2003
KW - null
VL - 0
JA - Parallel and Distributed Processing Symposium, International
ER -
 
G. E. Pound, University of Southampton
M. H. Eres, University of Southampton
J. L. Wason, University of Southampton
Z. Jiao, University of Southampton
A. J. Keane, University of Southampton
S. J. Cox, University of Southampton
The process of design search and optimisation using Computational Fluid Dynamics (CFD) is computationally and data intensive, a problem well-suited to Grid computing. The Geodise toolkit is a suite of Grid-enabled design optimisation and search tools within the Matlab environment. The use of these tools by the engineer is facilitated by intelligent design advisers targeted initially at CFD. The role of remote computation and data access in constructing a Grid-enabled Problem Solving Environment is discussed. The use of the Geodise toolkit for design optimisation from within the Matlab environment is considered with an exemplar problem.
Citation:
G. E. Pound, M. H. Eres, J. L. Wason, Z. Jiao, A. J. Keane, S. J. Cox, "A Grid-Enabled Problem Solving Environment (PSE) for Design Optimisation within Matlab," ipdps, pp.50a, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
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