Reusable object-oriented solutions for numerical simulation of PDEs in a high performance environment Export

@article{citeulike:6018433, abstract = {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.}, author = {Lani, Andrea and Quintino, Tiago and Kimpe, Dries and Deconinck, Herman and Vandewalle, Stefan and Poedts, Stefaan}, citeulike-article-id = {6018433}, citeulike-linkout-0 = {http://iospress.metapress.com/content/0ec4138kna26ahuf}, day = {1}, journal = {Scientific Programming}, keywords = {algorithm, computing, high-performance, numerical, object-oriented, pde, solver}, month = {January}, number = {2}, pages = {111--139}, posted-at = {2009-10-28 13:04:27}, priority = {2}, title = {Reusable object-oriented solutions for numerical simulation of PDEs in a high performance environment}, url = {http://iospress.metapress.com/content/0ec4138kna26ahuf}, volume = {14}, year = {2006} }

TY - JOUR ID - citeulike:6018433 L3 - citeulike-article-id:6018433 N2 - 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. IS - 2 JF - Scientific Programming EP - 139 TI - Reusable object-oriented solutions for numerical simulation of PDEs in a high performance environment VL - 14 SP - 111 KW - algorithm KW - computing KW - high-performance KW - numerical KW - object-oriented KW - pde KW - solver AU - Lani, Andrea AU - Quintino, Tiago AU - Kimpe, Dries AU - Deconinck, Herman AU - Vandewalle, Stefan AU - Poedts, Stefaan PY - 2006/01/01/ UR - http://iospress.metapress.com/content/0ec4138kna26ahuf ER -