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Parallel Programming [electronic resource] : For Multicore and Cluster Systems / by Thomas Rauber, Gudula Rünger.

By: Contributor(s): Material type: TextTextPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: X, 456 p. 156 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642048180
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 005.11 23
LOC classification:
  • QA76.6-76.66
Online resources:
Contents:
Parallel Computer Architecture -- Parallel Programming Models -- Performance Analysis of Parallel Programs -- Message-Passing Programming -- Thread Programming -- Algorithms for Systems of Linear Equations.
In: Springer eBooksSummary: 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.
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Item type Current library Call number Status Date due Barcode
E-Book E-Book Central Library Available E-46321

Parallel Computer Architecture -- Parallel Programming Models -- Performance Analysis of Parallel Programs -- Message-Passing Programming -- Thread Programming -- Algorithms for Systems of Linear Equations.

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.

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