Multigrid Methods on GPUs | High Performance GPGPU Solvers for Partial Differential Equations. Este artículo no está disponible.
Idioma: inglés
Editorial: VDM Verlag Dr. Müller, 2013
- Tapa blanda
- Nuevo

Librería: preigu, Osnabrück, Alemaniapreigu
Vendedor de 5 estrellas
Vendedor de AbeBooks desde 5 de agosto de 2024
No disponible
Tapa blanda
Condición: Nuevo
EUR 49,00
Descripción del artículo del vendedor
Multigrid Methods on GPUs | High Performance GPGPU Solvers for Partial Differential Equations | Peter Thoman | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783836499705 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
N° de ref. del artículo 101682327
- Título
- Multigrid Methods on GPUs | High Performance GPGPU Solvers for Partial Differential Equations
- Autor
- Peter Thoman
- Editorial
- VDM Verlag Dr. Müller
- Año de publicación
- 2013
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 3836499703
- ISBN 13
- 9783836499705
- Peso del artículo
- 112 gramos
- Dimensiones
- 5 x 150 x 220 mm
- Catálogos de vendedores
- Bücher
Many important algorithms in fields such as image processing or physical simulation necessitate solving systems of partial differential equations. Multigrid methods belong to the fastest and most versatile numerical schemes available for this purpose. With the advent of programmable graphics processing units (GPUs) there have been numerous efforts to use their capabilities - massively parallel floating point computation and high memory bandwidth - in high performance computing. In this work, multigrid methods are evaluated for their suitability towards a GPU implementation. After some introductory material on general purpose GPU programming and a short mathematical overview, a multigrid solver for the 2D Poisson equation built on C++, OpenGL and GLSL is presented in detail. The performance of various implementation techniques is benchmarked and interpreted, a number of optimization strategies are tested and the final results are compared across different hardware platforms and to a traditional CPU-based implementation. This book is aimed at scientists and programmers interested in using the potential of GPUs to speed up their multigrid-based numerical solvers.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
Many important algorithms in fields such as image processing or physical simulation necessitate solving systems of partial differential equations. Multigrid methods belong to the fastest and most versatile numerical schemes available for this purpose. With the advent of programmable graphics processing units (GPUs) there have been numerous efforts to use their capabilities - massively parallel floating point computation and high memory bandwidth - in high performance computing. In this work, multigrid methods are evaluated for their suitability towards a GPU implementation. After some introductory material on general purpose GPU programming and a short mathematical overview, a multigrid solver for the 2D Poisson equation built on C++, OpenGL and GLSL is presented in detail. The performance of various implementation techniques is benchmarked and interpreted, a number of optimization strategies are tested and the final results are compared across different hardware platforms and to a traditional CPU-based implementation. This book is aimed at scientists and programmers interested in using the potential of GPUs to speed up their multigrid-based numerical solvers.
“Acerca de” puede pertenecer a otra edición de este título.
Resultados de la búsqueda para Multigrid Methods on GPUs | High Performance GPGPU Solvers for Partial Differential Equations
Hay 2 copias más de este libroVer todos los resultados