Static and Dynamic Finite Element Analysis Using Parallel Programming

Allan Mann

ISBN 10: 3659803472 / ISBN 13: 9783659803475

Verlag: LAP LAMBERT Academic Publishing Nov 2015, 2015

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -The Graphics Processing Units (GPU) were originally designed for downloading graphical display but with the improved capabilities of GPU, the use of GPU for General Purpose Programming (GPGPU) has been noticed. Due to the parallel architecture which allows the concurrency of the tasks, GPU can be used for solving large systems of equations. Implementation of the Finite Element Method on GPU architecture is quite straightforward because this method deals with linear equations or ordinary differential equations and when a problem has a large number of degrees of freedom, the use of GPU capabilities can significantly decrease the computation time. Two specific examples are the transient analysis and the static analysis which can reach higher performance using parallel programming. 144 pp. Englisch. Bestandsnummer des Verkäufers 9783659803475

Bibliografische Details

Titel: Static and Dynamic Finite Element Analysis ...

Verlag: LAP LAMBERT Academic Publishing Nov 2015

Erscheinungsdatum: 2015

Einband: Taschenbuch

Zustand: Neu

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Reseña del editor:

The Graphics Processing Units (GPU) were originally designed for downloading graphical display but with the improved capabilities of GPU, the use of GPU for General Purpose Programming (GPGPU) has been noticed. Due to the parallel architecture which allows the concurrency of the tasks, GPU can be used for solving large systems of equations. Implementation of the Finite Element Method on GPU architecture is quite straightforward because this method deals with linear equations or ordinary differential equations and when a problem has a large number of degrees of freedom, the use of GPU capabilities can significantly decrease the computation time. Two specific examples are the transient analysis and the static analysis which can reach higher performance using parallel programming.