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Parallel Programming

for Multicore and Cluster Systems

By Thomas Rauber , Gudula Rünger

  • eBook Price: $49.95
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This book offers broad coverage of all aspects of parallel programming. Many examples and exercises are provided to show how to apply the techniques. There is special emphasis on runtime efficiency and memory organization.

Full Description

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  • ISBN13: 978-3-6420-4817-3
  • 468 Pages
  • User Level: Students
  • Publication Date: March 16, 2010
  • Available eBook Formats: PDF

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Full 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 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.
Table of Contents

Table of Contents

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