Numerical solution of partial differential equations on parallel computers
Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer...
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| Autor principal: | |
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| Altres autors: | , , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2006. |
| Col·lecció: | Lecture Notes in Computational Science and Engineering
51 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 14 avril 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Numerical solution of partial differential equations on parallel computers, Are Magnus Bruaset, Aslak Tveito (eds.), Berlin, Springer, 2006, 1 vol. (XII-482 p.), Lecture notes in computational science and engineering, 3-540-29076-1 • Numerical Solution of Partial Differential Equations on Parallel Computers, Texte imprimé, 9783540816089 • Numerical solution of partial differential equations on parallel computers, Are Magnus Bruaset, Aslak Tveito (eds.), Berlin, Springer, 2006, 1 vol. (XII-482 p.), Lecture notes in computational science and engineering, 3-540-29076-1 |
Taula de continguts:
- Parallel Computing Parallel Programming Models Applicable to Cluster Computing and Beyond Partitioning and Dynamic Load Balancing for the Numerical Solution of Partial Differential Equations Graphics Processor Units: New Prospects for Parallel Computing Parallel Algorithms Domain Decomposition Techniques Parallel Geometric Multigrid Parallel Algebraic Multigrid Methods High Performance Preconditioners Parallel Mesh Generation Parallel Software Tools The Design and Implementation of hypre, a Library of Parallel High Performance Preconditioners Parallelizing PDE Solvers Using the Python Programming Language Parallel PDE-Based Simulations Using the Common Component Architecture Parallel Applications Full-Scale Simulation of Cardiac Electrophysiology on Parallel Computers Developing a Geodynamics Simulator with PETSc Parallel Lattice Boltzmann Methods for CFD Applications