Sabtu, 10 November 2012

[P738.Ebook] Download PDF Parallel Programming: for Multicore and Cluster Systems, by Thomas Rauber, Gudula Rünger

Download PDF Parallel Programming: for Multicore and Cluster Systems, by Thomas Rauber, Gudula Rünger

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Parallel Programming: for Multicore and Cluster Systems, by Thomas Rauber, Gudula Rünger

Parallel Programming: for Multicore and Cluster Systems, by Thomas Rauber, Gudula Rünger



Parallel Programming: for Multicore and Cluster Systems, by Thomas Rauber, Gudula Rünger

Download PDF Parallel Programming: for Multicore and Cluster Systems, by Thomas Rauber, Gudula Rünger

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Parallel Programming: for Multicore and Cluster Systems, by Thomas Rauber, Gudula Rünger

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. For this second edition, all chapters have been carefully revised. The chapter on architecture of parallel systems has been updated considerably, with a greater emphasis on the architecture of multicore systems and adding new material on the latest developments in computer architecture. Lastly, a completely new chapter on general-purpose GPUs and the corresponding programming techniques has been added.

The main goal of the book is to present parallel programming techniques that can be used in many situations for a broad range of 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 material presented has been used for courses in parallel programming at different universities for many years.

  • Sales Rank: #1558158 in Books
  • Published on: 2013-06-08
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.21" h x 1.13" w x 6.14" l, 2.02 pounds
  • Binding: Hardcover
  • 516 pages

Most helpful customer reviews

2 of 2 people found the following review helpful.
Great book!!
By Jona
I bought this book because my course's book was so bad. I am glad I did. This book is beautiful, and explains everything with great detail in a clear and concise manner. If you are interested in parallel computing, this book is a must! Helpful graphs and figures are plentiful, and the book handles most of the industry's standards in parallel programming (pthreads, open_mpi, java threads, etc).

See all 1 customer reviews...

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[P738.Ebook] Download PDF Parallel Programming: for Multicore and Cluster Systems, by Thomas Rauber, Gudula Rünger Doc
[P738.Ebook] Download PDF Parallel Programming: for Multicore and Cluster Systems, by Thomas Rauber, Gudula Rünger Doc

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