Parallel Programming

for Multicore and Cluster Systems

Nonfiction, Computers, Networking & Communications, Hardware, General Computing, Programming
Cover of the book Parallel Programming by Thomas Rauber, Gudula Rünger, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Thomas Rauber, Gudula Rünger ISBN: 9783642378010
Publisher: Springer Berlin Heidelberg Publication: June 13, 2013
Imprint: Springer Language: English
Author: Thomas Rauber, Gudula Rünger
ISBN: 9783642378010
Publisher: Springer Berlin Heidelberg
Publication: June 13, 2013
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Berlin Heidelberg

Cover of the book Atlas of Human Limb Joints by Thomas Rauber, Gudula Rünger
Cover of the book Scientific Computing and Cultural Heritage by Thomas Rauber, Gudula Rünger
Cover of the book Reviews of Physiology, Biochemistry and Pharmacology, Vol. 163 by Thomas Rauber, Gudula Rünger
Cover of the book Quality and Treatment of Drinking Water II by Thomas Rauber, Gudula Rünger
Cover of the book The Universal Machine by Thomas Rauber, Gudula Rünger
Cover of the book Collective Choice by Thomas Rauber, Gudula Rünger
Cover of the book Nanostructuring for Nitride Light-Emitting Diodes and Optical Cavities by Thomas Rauber, Gudula Rünger
Cover of the book Plant Breeding for Abiotic Stress Tolerance by Thomas Rauber, Gudula Rünger
Cover of the book Multidimensional HPLC of Polymers by Thomas Rauber, Gudula Rünger
Cover of the book Surgery in and around the Brain Stem and the Third Ventricle by Thomas Rauber, Gudula Rünger
Cover of the book E-Business and Telecommunications by Thomas Rauber, Gudula Rünger
Cover of the book Plant Electrophysiology by Thomas Rauber, Gudula Rünger
Cover of the book Object-Oriented User Interfaces for Personalized Mobile Learning by Thomas Rauber, Gudula Rünger
Cover of the book Geological Methods in Mineral Exploration and Mining by Thomas Rauber, Gudula Rünger
Cover of the book Plastic Surgery of Head and Neck by Thomas Rauber, Gudula Rünger
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy