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Parallel Scientific Computing in C++ and Mpi: A Seamless Approach to Parallel Algorithms and Their Implementation

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Parallel Scientific Computing in C++ and Mpi: A Seamless Approach to Parallel Algorithms and Their Implementation Cover

 

Synopses & Reviews

Publisher Comments:

This book provides a seamless approach to numerical algorithms, modern programming techniques and parallel computing. These concepts and tools are usually taught serially across different courses and different textbooks, thus observing the connection between them. The necessity of integrating these subjects usually comes after such courses are concluded (e.g., during a first job or a thesis project), thus forcing the student to synthesize what is perceived to be three independent subfields into one in order to produce a solution. The book includes both basic and advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Advanced topics include wavelets, high-order methods, non-symmetric systems and parallelization of sparse systems. A CD-ROM accompanies the text.

Synopsis:

This book provides a seamless approach to numerical algorithms, modern programming techniques, and parallel computing. Such concepts and tools are often taught serially across different courses and different textbooks, and hence the interconnection between them is not immediately apparent. 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.

Synopsis:

Includes bibliographical references (p. 607-610) and index.

Table of Contents

1. Scientific computing and simulation science; 2. Basic concepts; 3. Approximations; 4. Roots and integrals; 5. Explicit discretizations; 6. Implicit discretizations; 7. Relaxation: discretization and solvers; 8. Propagation: numerical diffusion and dispersion; 9. Fast linear solvers; 10. Fast eigensolvers; Appendix A: C++ basics; Appendix B: MPI basics; Bibliography.

Product Details

ISBN:
9780521520805
Author:
Karniadakis, George Em
Publisher:
Cambridge University Press
Author:
Robert M. Kirby II
Author:
Kirby II, Robert M.
Author:
Kirby, Robert M.
Location:
New York
Subject:
General
Subject:
C (computer program language)
Subject:
Programming - General
Subject:
Data transmission systems
Subject:
Parallel Processing
Subject:
Data Processing - Parallel Processing
Subject:
General Mathematics
Subject:
General Computers
Subject:
C
Subject:
Systems Architecture - Distributed Systems &
Subject:
Parallel processing (Electronic computers)
Subject:
Mathematics - General
Edition Description:
Trade paper
Series Volume:
sâer. 4, v. 1
Publication Date:
20101031
Binding:
TRADE PAPER
Grade Level:
College/higher education:
Language:
English
Illustrations:
Yes
Pages:
630
Dimensions:
9.45 x 8.46 x 1.26 in 2.36 lb

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Related Subjects

Computers and Internet » Computer Architecture » Parallel
Computers and Internet » Computer Languages » C++
Computers and Internet » Operating Systems » General
Computers and Internet » Software Engineering » Programming and Languages
Computers and Internet » Software Engineering » Systems Analysis and Design
History and Social Science » Economics » General
History and Social Science » Politics » General
Science and Mathematics » Mathematics » General

Parallel Scientific Computing in C++ and Mpi: A Seamless Approach to Parallel Algorithms and Their Implementation New Trade Paper
0 stars - 0 reviews
$109.50 In Stock
Product details 630 pages Cambridge University Press - English 9780521520805 Reviews:
"Synopsis" by , This book provides a seamless approach to numerical algorithms, modern programming techniques, and parallel computing. Such concepts and tools are often taught serially across different courses and different textbooks, and hence the interconnection between them is not immediately apparent. 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.
"Synopsis" by , Includes bibliographical references (p. 607-610) and index.
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