國立虎尾科技大學 |

An introduction to parallel and vector scientific computing /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An introduction to parallel and vector scientific computing // Ronald W. Shonkwiler, Lew Lefton.
remainder title:	An Introduction to Parallel & Vector Scientific Computation
Author:	Shonkwiler, Ronald W.,
other author:	Lefton, L.
Description:	1 online resource (xv, 288 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Parallel processing (Electronic computers) -
Online resource:	https://doi.org/10.1017/CBO9780511617935
ISBN:	9780511617935 (ebook)

An introduction to parallel and vector scientific computing /
Shonkwiler, Ronald W.,1942-

An introduction to parallel and vector scientific computing /An Introduction to Parallel & Vector Scientific ComputationRonald W. Shonkwiler, Lew Lefton. - 1 online resource (xv, 288 pages) :digital, PDF file(s). - Cambridge texts in applied mathematics ;41. - Cambridge texts in applied mathematics ;50..

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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.

ISBN: 9780511617935 (ebook)Subjects--Topical Terms:

527949
Parallel processing (Electronic computers)

LC Class. No.: QA76.58 / .S545 2006

Dewey Class. No.: 004.3/5

An introduction to parallel and vector scientific computing /
LDR:02170nam a2200313 i 4500 001 1122271
003 UkCbUP
005 20151005020621.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2006||||enk o ||1 0|eng|d
020 $a 9780511617935 (ebook)
020 $z 9780521864787 (hardback)
020 $z 9780521683371 (paperback)
035 $a CR9780511617935
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a QA76.58 $b .S545 2006
082 0 0 $a 004.3/5 $2 22
100 1 $a Shonkwiler, Ronald W., $d 1942- $e author. $3 1438352
245 1 3 $a An introduction to parallel and vector scientific computing / $c Ronald W. Shonkwiler, Lew Lefton.
246 3 $a An Introduction to Parallel & Vector Scientific Computation
264 1 $a Cambridge : $b Cambridge University Press, $c 2006.
300 $a 1 online resource (xv, 288 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 1 $a Cambridge texts in applied mathematics ; $v 41
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a 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.
650 0 $a Parallel processing (Electronic computers) $3 527949
650 0 $a Vector processing (Computer science) $v Congresses. $3 896106
700 1 $a Lefton, L. $q (Lew), $d 1960- $e author. $3 1438353
776 0 8 $i Print version: $z 9780521864787
830 0 $a Cambridge texts in applied mathematics ; $v 50. $3 1238310
856 4 0 $u https://doi.org/10.1017/CBO9780511617935