Introduction to parallel computing : [a practical guide with examples in C] /

Introduction to parallel computing : [a practical guide with examples in C] /

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Bibliographic Details
Author / Creator:Petersen, W. P. (Wesley P.)
Imprint:Oxford ; New York : Oxford University Press, 2004.
Description:1 online resource (xvi, 259 pages) : illustrations
Language:English
Series:Oxford texts in applied and engineering mathematics ; 9
Oxford texts in applied and engineering mathematics ; 9.
Subject:
Parallel processing (Electronic computers)
Parallel computers.
Parallel computers.
Parallel processing (Electronic computers)
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11144080
Hidden Bibliographic Details
Other authors / contributors:Arbenz, Peter, 1953-
ISBN:9780191513619
019151361X
9780198515760
0198515766
142378880X
9781423788805
9786610752287
6610752281
9780198515777
0198515774
0198515774
1280752289
9781280752285
1429420618
9781429420617
Digital file characteristics:data file
Notes:Subtitle from cover.
Includes bibliographical references (pages 246-253) and index.
English.
Print version record.
Summary: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. - ;In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognit.
Other form:Print version: Petersen, W.P. (Wesley P.). Introduction to parallel computing. Oxford ; New York : Oxford University Press, 2004 0198515766 0198515774
Table of Contents:
  • Basic issues
  • Applications
  • SIMD, single instruction multiple data
  • Shared memory parallelism
  • MIMD, multiple instruction, multiple data.

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