Introduction to Parallel Computing

Price: 295.00 INR

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ISBN:

9780199560868

Publication date:

25/07/2008

Paperback

278 pages

Price: 295.00 INR

We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.

ISBN:

9780199560868

Publication date:

25/07/2008

Paperback

278 pages

First Edition

Wesley Petersen & Peter Arbenz

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.

Rights:  World Rights

First Edition

Wesley Petersen & Peter Arbenz

Description

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.

First Edition

Wesley Petersen & Peter Arbenz

Table of contents

Chapter 1: Basic issues
Chapter 2: Applications
Chapter 3: SIMD, Single Instruction Multiple Data
Chapter 4: Shared Memory Parallelism
Chapter 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

First Edition

Wesley Petersen & Peter Arbenz

Features

  • 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

First Edition

Wesley Petersen & Peter Arbenz

First Edition

Wesley Petersen & Peter Arbenz

Description

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.

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Table of contents

Chapter 1: Basic issues
Chapter 2: Applications
Chapter 3: SIMD, Single Instruction Multiple Data
Chapter 4: Shared Memory Parallelism
Chapter 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

Read More