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Numerical Solution of Partial Differential Equations on Parallel Computers (Lecture Notes in Computational Science and Engineering)
By: Are Magnus Bruaset(Editor), Aslak Tveito(Editor)
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Numerical Solution of Partial Differential Equations on Parallel Computers (Lecture Notes in Computational Science and Engineering)
By: Are Magnus Bruaset(Editor), Aslak Tveito(Editor)
ISBN: 3540290761
ISBN-13: 9783540290766
Publisher: Springer - 2006-02-10
Paperback | 1 Edition | 487 Pages
Description:ISBN-13: 9783540290766
Publisher: Springer - 2006-02-10
Paperback | 1 Edition | 487 Pages
This book surveys the major topics that are essential to high-performance simulation on parallel computers or computational clusters. These topics, including programming models, load balancing, mesh generation, efficient numerical solvers, and scientific software, are vital ingredients in the research fields of computer science, numerical analysis, and scientific computing. In addition to presenting the technological basis, this volume addresses selected applications that combine different techniques in order to meet demanding computational challenges. Through contributions from a wide range of internationally acknowledged experts, this book gives a to-the-point overview of efficient ways to deal with large-scale simulation problems.
Table of Contents:
1 Parallel programming models applicable to cluster computing and beyond 3
2 Partitioning and dynamic load balancing for the numerical solution of partial differential equations 55
3 Graphics processor units : new prospects for parallel computing 89
4 Domain decomposition techniques 135
5 Parallel geometric multigrid 165
6 Parallel algebraic multigrid methods - high performance preconditioners 209
7 Parallel mesh generation 237
8 The design and implementation of hypre, a library of parallel high performance preconditioners 267
9 Parallelizing PDE solvers using the Python programming language 295
10 Parallel PDE-based simulations using the common component architecture
11 Full-scale simulation of cardiac electrophysiology on parallel computers 385
12 Developing a geodynamics simulator with PETSc 413
13 Parallel lattice Boltzmann methods for CFD applications 439
2 Partitioning and dynamic load balancing for the numerical solution of partial differential equations 55
3 Graphics processor units : new prospects for parallel computing 89
4 Domain decomposition techniques 135
5 Parallel geometric multigrid 165
6 Parallel algebraic multigrid methods - high performance preconditioners 209
7 Parallel mesh generation 237
8 The design and implementation of hypre, a library of parallel high performance preconditioners 267
9 Parallelizing PDE solvers using the Python programming language 295
10 Parallel PDE-based simulations using the common component architecture
11 Full-scale simulation of cardiac electrophysiology on parallel computers 385
12 Developing a geodynamics simulator with PETSc 413
13 Parallel lattice Boltzmann methods for CFD applications 439
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