Reusable Object-Oriented Solutions for Numerical Simulation of PDEs in a High Performance Environment

Object-oriented platforms developed for the numerical solution of PDEs must combine flexibility and reusability, in order to ease the integration of new functionalities and algorithms. While designing similar frameworks, a built-in support for high performance should be provided and enforced transpa...

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Main Authors: Andrea Lani, Tiago Quintino, Dries Kimpe, Herman Deconinck, Stefan Vandewalle, Stefaan Poedts
Format: Article
Language:English
Published: Hindawi Limited 2006-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2006/393058
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spelling doaj-6286f6ab74fb4719bd6a5bd444f039ba2021-07-02T05:57:10ZengHindawi LimitedScientific Programming1058-92441875-919X2006-01-0114211113910.1155/2006/393058Reusable Object-Oriented Solutions for Numerical Simulation of PDEs in a High Performance EnvironmentAndrea Lani0Tiago Quintino1Dries Kimpe2Herman Deconinck3Stefan Vandewalle4Stefaan Poedts5Von Karman Institute, Aerospace Dept., Chaussee de Waterloo 72, B-1640 Sint-Genesius-Rode, BelgiumVon Karman Institute, Aerospace Dept., Chaussee de Waterloo 72, B-1640 Sint-Genesius-Rode, BelgiumCatholic University Leuven, Computer Science Department, Celestijnenlaan 200A, B-3001 Leuven, BelgiumVon Karman Institute, Aerospace Dept., Chaussee de Waterloo 72, B-1640 Sint-Genesius-Rode, BelgiumCatholic University Leuven, Computer Science Department, Celestijnenlaan 200A, B-3001 Leuven, BelgiumCatholic University Leuven, Center for Plasma-Astrophysics, Celestijnenlaan 200B, B-3001 Leuven, BelgiumObject-oriented platforms developed for the numerical solution of PDEs must combine flexibility and reusability, in order to ease the integration of new functionalities and algorithms. While designing similar frameworks, a built-in support for high performance should be provided and enforced transparently, especially in parallel simulations. The paper presents solutions developed to effectively tackle these and other more specific problems (data handling and storage, implementation of physical models and numerical methods) that have arisen in the development of COOLFluiD, an environment for PDE solvers. Particular attention is devoted to describe a data storage facility, highly suitable for both serial and parallel computing, and to discuss the application of two design patterns, Perspective and Method-Command-Strategy, that support extensibility and run-time flexibility in the implementation of physical models and generic numerical algorithms respectively.http://dx.doi.org/10.1155/2006/393058
collection DOAJ
language English
format Article
sources DOAJ
author Andrea Lani
Tiago Quintino
Dries Kimpe
Herman Deconinck
Stefan Vandewalle
Stefaan Poedts
spellingShingle Andrea Lani
Tiago Quintino
Dries Kimpe
Herman Deconinck
Stefan Vandewalle
Stefaan Poedts
Reusable Object-Oriented Solutions for Numerical Simulation of PDEs in a High Performance Environment
Scientific Programming
author_facet Andrea Lani
Tiago Quintino
Dries Kimpe
Herman Deconinck
Stefan Vandewalle
Stefaan Poedts
author_sort Andrea Lani
title Reusable Object-Oriented Solutions for Numerical Simulation of PDEs in a High Performance Environment
title_short Reusable Object-Oriented Solutions for Numerical Simulation of PDEs in a High Performance Environment
title_full Reusable Object-Oriented Solutions for Numerical Simulation of PDEs in a High Performance Environment
title_fullStr Reusable Object-Oriented Solutions for Numerical Simulation of PDEs in a High Performance Environment
title_full_unstemmed Reusable Object-Oriented Solutions for Numerical Simulation of PDEs in a High Performance Environment
title_sort reusable object-oriented solutions for numerical simulation of pdes in a high performance environment
publisher Hindawi Limited
series Scientific Programming
issn 1058-9244
1875-919X
publishDate 2006-01-01
description Object-oriented platforms developed for the numerical solution of PDEs must combine flexibility and reusability, in order to ease the integration of new functionalities and algorithms. While designing similar frameworks, a built-in support for high performance should be provided and enforced transparently, especially in parallel simulations. The paper presents solutions developed to effectively tackle these and other more specific problems (data handling and storage, implementation of physical models and numerical methods) that have arisen in the development of COOLFluiD, an environment for PDE solvers. Particular attention is devoted to describe a data storage facility, highly suitable for both serial and parallel computing, and to discuss the application of two design patterns, Perspective and Method-Command-Strategy, that support extensibility and run-time flexibility in the implementation of physical models and generic numerical algorithms respectively.
url http://dx.doi.org/10.1155/2006/393058
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