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Introduction to Parallel Computing

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Introduction to Parallel Computing Cover

 

Synopses & Reviews

Publisher Comments:

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 recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines and finally to distributed memory machines. 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.

Book News Annotation:

Petersen (applied mathematics, ETHZ, Zurich) and Arbenz (scientific computing, ETHZ, Zurich) present a text for a course on scientific computing on parallel computers. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, the text progresses from the hardware instruction level to shared memory and distributed memory machines, covering linear algebra, fast Fourier transforms, and Monte-Carlo simulations. Examples are in C, using Fortran numerical library conventions.
Annotation 2006 Book News, Inc., Portland, OR (booknews.com)

Book News Annotation:

Petersen (applied mathematics, ETHZ, Zurich) and Arbenz (scientific computing, ETHZ, Zurich) present a text for a course on scientific computing on parallel computers. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, the text progresses from the hardware instruction level to shared memory and distributed memory machines, covering linear algebra, fast Fourier transforms, and Monte-Carlo simulations. Examples are in C, using Fortran numerical library conventions. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)

Table of Contents

1. Basic issues

2. Applications

3. SIMD, Single Instruction Multiple Data

4. Shared Memory Parallelism

5. 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

Product Details

ISBN:
9780198515760
Author:
Arbenz, Peter
Publisher:
OUP Oxford
Author:
Petersen, W. P.
Author:
Petersen, Wesley
Author:
P. Arbenz
Subject:
Parallel processing (Electronic computers)
Subject:
Peripherals
Subject:
Programming - Parallel Programming
Subject:
Parallel computers
Subject:
Data Processing - Parallel Processing
Subject:
Hardware - Peripherals
Subject:
Programming / Parallel
Subject:
Mathematics | Applied Mathematics
Subject:
Systems Architecture - Distributed Systems &
Subject:
Personal Computers-Peripherals
Series:
Oxford Texts in Applied and Engineering Mathematics
Series Volume:
9
Publication Date:
20040131
Binding:
HARDCOVER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
105 line illus.
Pages:
288
Dimensions:
6.100 x 9.200 in 0.894 lb

Related Subjects

Computers and Internet » Computer Architecture » Parallel
Computers and Internet » Operating Systems » General
Computers and Internet » Personal Computers » Peripherals
Computers and Internet » Software Engineering » Programming and Languages
Science and Mathematics » Physics » Fluid Mechanics
Science and Mathematics » Physics » General

Introduction to Parallel Computing New Hardcover
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Product details 288 pages Oxford University Press - English 9780198515760 Reviews:
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