Introduction to Parallel Computing

A practical guide with examples in C

Peter Arbenz, Wesley Petersen - Collection Oxford Texts in Applied and Engineering Mathematics

260 pages, parution le 09/02/2004

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Résumé

This text is a practical student guide to scientific computing on parallel computers, based on the authors' lectures at ETH Zurich. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and, in some cases, Fortran. This book is also ideal for practitioners and programmers.

A practical student guide to scientific computing on parallel computers
Based on teaching notes from ETH Zurich
Explanation by clear and easy to follow examples in C and Fortran
Includes theoretical background to examples
Unique coverage of parallelism on microprocessors
Appendix includes glossary of terms, and notations and symbols

Readership: Advanced undergraduate students, postgraduates, and researchers in mathematics, engineering, physics, and computer science, as well as practitioners and programmers.

L'auteur - Peter Arbenz

Institute for Scientific Computing, Department Informatik, ETHZ, Switzerland

L'auteur - Wesley Petersen

Seminar for Applied Mathematics, Department of Mathematics, ETHZ, Switzerland

Sommaire

Basic issues
Applications
SIMD, Single Instruction Multiple Data
Shared Memory Parallelism
MIMD, Multiple Instruction Multiple Data

A SSE Intrinsics for Floating Point
B AltiVec Intrinsics for Floating Point
C OpenMP commands
D Summary of MPI commands
E Fortran and C communication
F Glossary of terms
G Notation and symbols

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	PAPIER
Éditeur(s)	Oxford University Press
Auteur(s)	Peter Arbenz, Wesley Petersen
Collection	Oxford Texts in Applied and Engineering Mathematics
Parution	09/02/2004
Nb. de pages	260
Format	15,5 x 23,5
Couverture	Broché
Poids	405g
Intérieur	Noir et Blanc
EAN13	9780198515777
ISBN13	978-0-19-851577-7

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