Parallel Programming

for Multicore and Cluster Systems

Authors: Rauber, Thomas, Rünger, Gudula

  • Broad coverage of all aspects of parallel programming
  • Special emphasis on runtime efficiency and memory organization
  • Presented material has been used in courses for many years
  • Complemented by many examples and an additional website with teaching material
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  • ISBN 978-3-642-04818-0
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About this Textbook

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing.

Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures.

The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.

About the authors

Thomas Rauber has been professor for parallel and distributed systems at the University of Bayreuth since 2002. His research is focusing on algorithms and systems for distributed and parallel programming, on which he published more than 80 papers in journals or conference proceedings.

Gudula Rünger has been professor at the Chemnitz University of Technology since 2000. Her main research interests are parallel and distributed programming both in theory and applications, and she published more than 80 conference and journal papers on these topics.

Reviews

"[...] The end-ofchapter exercises are stimulating, there are adequate references for further study, and the index, though short, is quite helpful. [...] This book introduces the basics of parallel programming on multicore and cluster systems. Adequate sample programs illustrate the key concepts of parallel programming. [...]" ACM Computing Reviews, S. V. Nagaraj, February 2011


Table of contents (7 chapters)

  • Introduction

    Rauber, Thomas (et al.)

    Pages 1-6

  • Parallel Computer Architecture

    Rauber, Thomas (et al.)

    Pages 7-91

  • Parallel Programming Models

    Rauber, Thomas (et al.)

    Pages 93-149

  • Performance Analysis of Parallel Programs

    Rauber, Thomas (et al.)

    Pages 151-196

  • Message-Passing Programming

    Rauber, Thomas (et al.)

    Pages 197-256

Buy this book

eBook $54.99
price for USA
  • ISBN 978-3-642-04818-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Download immediately after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Parallel Programming
Book Subtitle
for Multicore and Cluster Systems
Authors
Copyright
2010
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-04818-0
DOI
10.1007/978-3-642-04818-0
Edition Number
1
Number of Pages
X, 456
Number of Illustrations and Tables
156 b/w illustrations
Topics