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 co...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Shonkwiler, Ronald W. 1942- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cambridge Cambridge University Press 2006
Schriftenreihe:	Cambridge texts in applied mathematics 41
Schlagworte:	Parallel processing (Electronic computers) Vector processing (Computer science) Parallelverarbeitung Vektorrechner Wissenschaftliches Rechnen
Online-Zugang:	BSB01 FHN01 Volltext
Zusammenfassung:	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
Beschreibung:	Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Beschreibung:	1 online resource (xv, 288 pages)
ISBN:	9780511617935
DOI:	10.1017/CBO9780511617935