parallelization computational fluid dynamics de afzal asif (6 resultados)

Paperback. Condición: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.

Taschenbuch. Condición: Neu. Neuware -Computational fluid dynamics (CFD) is one of the most emerging fields of fluid mechanics used to analyze fluid flow situation. This analysis is based on simulations carried out on computing machines. For complex configurations, the grid points are so large that the computational time required to obtain the results are very high. Parallel computing is adopted to reduce the computational time of CFD by utilizing the available resource of computing. Parallel computing tools like OpenMP, MPI, CUDA, combination of these and few others are used to achieve parallelization of CFD software. This book provides a comprehensive state of the art review of important CFD areas and parallelization strategies for the related software. Issues related to computational time complexities and parallelization of CFD software are highlighted. Benefits and issues of using parallel computing tools for parallelization of CFD software are briefed. Open areas of CFD where parallelization is not much attempted are identified and parallel computing tools which can be useful for parallelization of CFD software are spotlighted. Suggestions for future work in parallel computing of CFD software are also provided.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch.

Taschenbuch. Condición: Neu. Parallelization of Computational Fluid Dynamics Software Codes | Asif Afzal (u. a.) | Taschenbuch | 96 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330335523 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computational fluid dynamics (CFD) is one of the most emerging fields of fluid mechanics used to analyze fluid flow situation. This analysis is based on simulations carried out on computing machines. For complex configurations, the grid points are so large that the computational time required to obtain the results are very high. Parallel computing is adopted to reduce the computational time of CFD by utilizing the available resource of computing. Parallel computing tools like OpenMP, MPI, CUDA, combination of these and few others are used to achieve parallelization of CFD software. This book provides a comprehensive state of the art review of important CFD areas and parallelization strategies for the related software. Issues related to computational time complexities and parallelization of CFD software are highlighted. Benefits and issues of using parallel computing tools for parallelization of CFD software are briefed. Open areas of CFD where parallelization is not much attempted are identified and parallel computing tools which can be useful for parallelization of CFD software are spotlighted. Suggestions for future work in parallel computing of CFD software are also provided. 96 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Afzal AsifAsif Afzal is working as an Assistant Professor of Mechanical Engineering at P. A. College of Engineering, Mangaluru, India. His areas of research interest include Computational Fluid Dynamics and Parallelization of CFD So.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computational fluid dynamics (CFD) is one of the most emerging fields of fluid mechanics used to analyze fluid flow situation. This analysis is based on simulations carried out on computing machines. For complex configurations, the grid points are so large that the computational time required to obtain the results are very high. Parallel computing is adopted to reduce the computational time of CFD by utilizing the available resource of computing. Parallel computing tools like OpenMP, MPI, CUDA, combination of these and few others are used to achieve parallelization of CFD software. This book provides a comprehensive state of the art review of important CFD areas and parallelization strategies for the related software. Issues related to computational time complexities and parallelization of CFD software are highlighted. Benefits and issues of using parallel computing tools for parallelization of CFD software are briefed. Open areas of CFD where parallelization is not much attempted are identified and parallel computing tools which can be useful for parallelization of CFD software are spotlighted. Suggestions for future work in parallel computing of CFD software are also provided.