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 R�nger 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 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.

About the Author:

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 R�nger 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.

"About this title" may belong to another edition of this title.

Store Description

We are a medium-sized general bookstore with over 30,000 books listed for sale online. Our physical store includes a rare book room where we have the unusual, the fragile, and the collectible. Books in the rare book room cover a wide range of subjects with a focus on science fiction, fantasy and horror, literature and poetry, metaphysics, and children's books.

Visit Seller's Storefront

Association Member

Members of these associations are committed to maintaining the highest standards. They vouch for the authenticity of all items offered for sale. They provide expert and detailed descriptions, disclose all significant defects and/or restorations, provide clear and accurate pricing, and operate with fairness and honesty during the purchase experience.

Seller's business information

The Book Bin
450 Court Street NE, Salem, OR, 97301, U.S.A.

Terms of Sale:

Books may be returned for any reason within two weeks of delivery.

Shipping Terms:

Orders ship within 2 business days. Shipping costs are based on books weighing 2.2 LB, or 1 KG. If your order is heavy or over-sized, or does not qualify for media mail shipping, we may contact you to let you know extra shipping is required.

Payment Methods
accepted by seller

Add to Wants

Items related to Parallel Programming: for Multicore and Cluster Systems

Parallel Programming: for Multicore and Cluster Systems

Rauber, Thomas; Runger, Gudula

Used - Hardcover

Seller's business information