An Introduction to Parallel and Vector Scientific Computation (Paperback)

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Cambridge Texts in Applied Mathematics
Release date:	August 2006
First published:	2006
Authors:	Ronald W. Shonkwiler • Lew Lefton
Dimensions:	229 x 154 x 18mm (L x W x T)
Format:	Paperback - Trade
Pages:	300
ISBN-13:	978-0-521-68337-1
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > Parallel processing Promotions
LSN:	0-521-68337-8
Barcode:	9780521683371

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