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Parallel programming for multicore and cluster systems

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.

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  • "Parallel programming for multicore and cluster systems"

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  • "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."@en
  • "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."
  • "-- Durch kostengünstige Multiprozessor-Desktoprechner, Cluster von PCs und Innovationen wie die Hyperthreading-Technologie oder Multicore-Prozessoren sind parallele Rechenressourcen allgegenwärtig. Die effiziente Ausnutzung dieser parallelen Rechenleistung ist jedoch nur durch den Einsatz paralleler Programmiertechniken möglich, die sich damit in alle Bereiche der Softwareerstellung ausbreiten. -- -- Dieses Buch stellt die parallele Programmierung für herkömmliche Parallelrechner und für die neuartigen parallelen Plattformen umfassend dar. Neben den Grundlagen der parallelen Programmierung werden portable Programmierumgebungen wie Pthreads, Java-Threads, OpenMP, MPI, PVM oder UPC und die zugehöigen Programmiermodelle ausführlich behandelt. Parallele Progammiertechniken, die zur erfolgreichen Realisierung effizienter paralleler Programme führen, werden mit einer Vielzahl von Beispielen dargestellt. -- -- Das Buch ist für Anfänger und fortgeschrittene Programmierer geeignet."
  • "Das Buch behandelt die praktischen Aspekte paralleler und verteilter Programmierung und stellt die zugrundeliegenden Konzepte in angemessener Tiefe dar. Wesentlich ist dabei das Zusammenspiel der parallelen Eigenschaften des jeweiligen Anwendungsproblems, der Programmierumgebung und der Architektur des Parallelrechners. Dementsprechend werden in den einzelnen Kapiteln die unterschiedlichen Typen von Parallelrechnern und parallelen Plattformen betrachtet, ein Überblick über parallele Programmierumgebungen gegeben und Charakteristika wichtiger Anwendungsalgorithmen beschrieben. Breiten Raum nehmen die Darstellung und der Vergleich portabler Programmierplattformen wie PVM und MPI ein. Das Buch enthält insbesondere einen genauen Effizienzvergleich dieser Plattformen für viele aktuelle Parallelrechner und diskutiert die Anwendung auf Probleme, die für die Praxis der Natur- und Ingenieurwissenschaften sowie des Wissenschaftlichen Rechnens relevant sind."
  • "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."@en
  • "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."@en
  • "Multiprozessor-Desktoprechner, Cluster von PCs und Innovationen wie Hyperthreading oder Multicore-Prozessoren machen parallele Rechenressourcen allgegenw rtig. Die Ausnutzung dieser Rechenleistung ist jedoch nur durch parallele Programmiertechniken m glich. Das Buch stellt diese Techniken f r herk mmliche Parallelrechner und f r neuartige Plattformen umfassend dar. Neben den Grundlagen der parallelen Programmierung werden Programmierumgebungen wie Pthreads, Java-Threads, OpenMP, MPI oder PVM sowie die zugeh rigen Programmiermodelle behandelt."

genre

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  • "Electronic books"
  • "Electronic books"@en
  • "Online-Publikation"
  • "Ressources Internet"

name

http://schema.org/name

  • "Parallel Programming : For Multicore and Cluster Systems"
  • "Parallel programming for multicore and cluster systems"@en
  • "Parallel programming for multicore and cluster systems"
  • "Parallel Programming for Multicore and Cluster Systems"
  • "Parallel programming : for multicore and cluster systems"
  • "Parallel Programming"@en
  • "Parallel programming : for multicore and cluster systems"@en
  • "Parallele Programmierung"
  • "Parallel Programming for Multicore and Cluster Systems"@en
  • "Parallele und verteilte Programmierung"
  • "Parallel Programming For Multicore and Cluster Systems"
  • "Parallel Programming For Multicore and Cluster Systems"@en
  • "Parallele programmierung"

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