Implementation of a grid-enabled problem solving environment in Matlab
Implementation of a grid-enabled problem solving environment in Matlab
In many areas of design search and optimisation one needs to utilize Computational Fluid Dynamits (CFD) methods in Order to obtain numerical Solution of the flow field in and/or around a proposed design. From this Solution measures of quality for the design may be calculated, which are required by optimisation methods. In large models the processing time for the CFD computations tan very well be many orders of magnitude larger than the optimisation methods; and the Overall optimisation process usually demands a combination of computational and database resources; therefore this class of Problems is well suited to Grid computing. The Geodise toolkit is a Suite of tools for Grid-enabled parametric geometry generation, meshing, CFD analysis, design optimisation and search, database, and notification tools within the Matlab environment. These grid Services are presented to the design engineer as Matlab functions that conform to the usual Syntax of Matlab. The use of the Geodise toolkit in Matlab introduces a flexible and Grid-enabled Problem solving environment (PSE) for design search and optimisation. This PSE is illustrated here with an exemplar Problem.
3540401970
420-429
Eres, M.H.
b22e2d66-55c4-46d2-8ec3-46317033de43
Pound, Graeme
08828109-c9a9-4e58-8721-a07156526671
Jiao, Zhouan
a6d352a0-03df-49e9-93ce-4f184b3f4a0a
Wason, Jasmin
c5b37ffd-abe2-451d-b49e-71b5f8c75ae4
Xu, Fenglain
b7db00c4-45ca-460f-b006-970e25e134b2
Keane, Andy
26d7fa33-5415-4910-89d8-fb3620413def
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
2003
Eres, M.H.
b22e2d66-55c4-46d2-8ec3-46317033de43
Pound, Graeme
08828109-c9a9-4e58-8721-a07156526671
Jiao, Zhouan
a6d352a0-03df-49e9-93ce-4f184b3f4a0a
Wason, Jasmin
c5b37ffd-abe2-451d-b49e-71b5f8c75ae4
Xu, Fenglain
b7db00c4-45ca-460f-b006-970e25e134b2
Keane, Andy
26d7fa33-5415-4910-89d8-fb3620413def
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Eres, M.H., Pound, Graeme, Jiao, Zhouan, Wason, Jasmin, Xu, Fenglain, Keane, Andy and Cox, Simon
(2003)
Implementation of a grid-enabled problem solving environment in Matlab.
Goos, G, Hartmanis, J and van Leeuwen, J
(eds.)
In Computational Science – ICCS 2003: International Conference Melbourne, Australia and St. Petersburg, Russia June 2-4, 2003 Proceedings.
vol. 4,
Springer.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In many areas of design search and optimisation one needs to utilize Computational Fluid Dynamits (CFD) methods in Order to obtain numerical Solution of the flow field in and/or around a proposed design. From this Solution measures of quality for the design may be calculated, which are required by optimisation methods. In large models the processing time for the CFD computations tan very well be many orders of magnitude larger than the optimisation methods; and the Overall optimisation process usually demands a combination of computational and database resources; therefore this class of Problems is well suited to Grid computing. The Geodise toolkit is a Suite of tools for Grid-enabled parametric geometry generation, meshing, CFD analysis, design optimisation and search, database, and notification tools within the Matlab environment. These grid Services are presented to the design engineer as Matlab functions that conform to the usual Syntax of Matlab. The use of the Geodise toolkit in Matlab introduces a flexible and Grid-enabled Problem solving environment (PSE) for design search and optimisation. This PSE is illustrated here with an exemplar Problem.
Text
eres_03.pdf
- Accepted Manuscript
More information
Published date: 2003
Additional Information:
ISSN: 0302-9743
Venue - Dates:
Computational Science – ICCS 2003: International Conference, Melbourne, Australia and Saint Petersburg, Russian Federation, 2003-06-02 - 2003-06-04
Identifiers
Local EPrints ID: 22543
URI: http://eprints.soton.ac.uk/id/eprint/22543
ISBN: 3540401970
PURE UUID: 22375d5e-5156-4fd7-9836-55b19abd0f22
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Date deposited: 29 Mar 2006
Last modified: 16 Mar 2024 03:30
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Contributors
Author:
Graeme Pound
Author:
Zhouan Jiao
Author:
Jasmin Wason
Author:
Fenglain Xu
Editor:
G Goos
Editor:
J Hartmanis
Editor:
J van Leeuwen
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