Parallel Programming

Parallel Programming

Hardback

By (author) Thomas Rauber, By (author) Gudula Rünger

List price $78.09

Unavailable - AbeBooks may have this title.

  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Format: Hardback | 466 pages
  • Dimensions: 163mm x 236mm x 33mm | 794g
  • Publication date: 18 May 2010
  • Publication City/Country: Berlin
  • ISBN 10: 364204817X
  • ISBN 13: 9783642048173
  • Edition: 1
  • Edition statement: 2010 ed.
  • Illustrations note: black & white illustrations
  • Sales rank: 887,160

Product description

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 Runger 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.

Other people who viewed this bought:

Showing items 1 to 10 of 10

Other books in this category

Showing items 1 to 11 of 11
Categories:

Author information

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 Runger 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.

Review quote

"[...] 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

Back cover copy

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 Runger 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.

Table of contents

1.- Introduction - 2.- Parallel COmputer Architectures - 3.- Parallel Programming Models - 4.- Performance Analysis of Parallel Programs.- 5. Messge-Passing Programming.- 6. Thread Programming.- 7. Algorithms for Systems of Linear Equations.