Parallel Programming

For Multicore and Cluster Systems

  • Thomas Rauber
  • Gudula Rünger

Table of contents

  1. Front Matter
    Pages i-x
  2. Thomas Rauber, Gudula Rünger
    Pages 1-6
  3. Thomas Rauber, Gudula Rünger
    Pages 7-91
  4. Thomas Rauber, Gudula Rünger
    Pages 93-149
  5. Thomas Rauber, Gudula Rünger
    Pages 151-196
  6. Thomas Rauber, Gudula Rünger
    Pages 197-256
  7. Thomas Rauber, Gudula Rünger
    Pages 257-357
  8. Thomas Rauber, Gudula Rünger
    Pages 359-440
  9. Back Matter
    Pages 441-455

About this book


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.


Distributed Programming Grid Computing Multithreading Networking Parallel Programming Scientific Programming cluster multi-core parallel computing

Authors and affiliations

  • Thomas Rauber
    • 1
  • Gudula Rünger
    • 2
  1. 1.LS für Angewandte Informatik IIUniversität BayreuthBayreuthGermany
  2. 2.Fak. InformatikTU ChemnitzChemnitzGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04817-3
  • Online ISBN 978-3-642-04818-0
  • Buy this book on publisher's site