Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	August 2006
Genre:	EDV / Informatik
	COMPUTERS / General / Computing & Information Technology / Computing and Information Technology
ISBN:	9780521864787
EAN-Code:	9780521864787
Verlag:	Cambridge Academic
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 158 mm / D 22 mm
Gewicht:	550 gr
Illustration:	10 tables 120 exercises, Tabellen, nicht spezifiziert, Worked examples or Exercises
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.