Parallel Scientific Computing in C++ and MPI

A Seamless Approach to Parallel Algorithms and their Implementation

Georges Karniadakis, Robert M. Kirby

628 pages, parution le 30/09/2003

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Résumé

Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one.

This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers.

Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.

Scientific computing and simulation science
Basic concepts
Approximations
Roots and integrals
Explicit discretizations
Implicit discretizations
Relaxation: discretization and solvers
Propagation: numerical diffusion and dispersion
Fast linear solvers
Fast eigensolvers

Appendix A. C++ basics
Appendix B. MPI basics
Bibliography

Caractéristiques techniques

	PAPIER
Éditeur(s)	Cambridge University Press
Auteur(s)	Georges Karniadakis, Robert M. Kirby
Parution	30/09/2003
Nb. de pages	628
Format	19,5 x 23
Couverture	Broché
Poids	1100g
Intérieur	Noir et Blanc
EAN13	9780521520805
ISBN13	978-0-521-52080-5