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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. 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.
Computer Science. --- Programming Techniques. --- Computer Communication Networks. --- Computational Science and Engineering. --- System Performance and Evaluation. --- Processor Architectures. --- Communications Engineering, Networks. --- Computer science. --- Computer system performance. --- Telecommunication. --- Informatique --- Réseaux d'ordinateurs --- Télécommunications --- Programmation parallèle (informatique) --- Parallel programming (Computer science)
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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. 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.
Electronic books. -- local. --- Multiprocessors. --- Parallel programming (Computer science). --- Engineering & Applied Sciences --- Computer Science --- Information Technology --- Computer Science (Hardware & Networks) --- Parallel programming (Computer science) --- Computer science. --- Microprocessors. --- Computer communication systems. --- Computer system failures. --- Software engineering. --- Computer programming. --- Computer mathematics. --- Computer Science. --- Software Engineering/Programming and Operating Systems. --- Computer Communication Networks. --- Programming Techniques. --- Computational Science and Engineering. --- System Performance and Evaluation. --- Processor Architectures. --- Electronic digital computers --- Multiprogramming (Electronic computers) --- Parallel processing (Electronic computers) --- Computer programming --- Computer system performance. --- Informatics --- Science --- Computer software engineering --- Engineering --- Minicomputers --- Computer failures --- Computer malfunctions --- Computer systems --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Computer mathematics --- Electronic data processing --- Mathematics --- Computers --- Electronic computer programming --- Programming (Electronic computers) --- Coding theory --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Failures --- Programming --- Distributed processing
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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.
Telecommunication technology --- Mass communications --- Computer science --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- computers --- informatica --- computerbesturingssystemen --- programmeren (informatica) --- tekstverwerking --- informaticaonderzoek --- computernetwerken --- computerkunde --- architectuur (informatica) --- communicatietechnologie --- Computer science. --- Computer Communication Networks. --- Computer system performance. --- Telecommunication. --- Programming Techniques. --- Computational Science and Engineering. --- System Performance and Evaluation. --- Processor Architectures. --- Communications Engineering, Networks. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Informatics --- Science --- Parallel programming (Computer science) --- Cluster. --- Computer programming. --- Computer communication systems. --- Computer mathematics. --- Computer system failures. --- Microprocessors. --- Electrical engineering. --- Electric engineering --- Engineering --- Minicomputers --- Computer failures --- Computer malfunctions --- Computer systems --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Computer mathematics --- Electronic data processing --- Mathematics --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Failures --- Distributed processing
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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.
Telecommunication technology --- Mass communications --- Computer science --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- computers --- informatica --- computerbesturingssystemen --- programmeren (informatica) --- tekstverwerking --- informaticaonderzoek --- computernetwerken --- computerkunde --- architectuur (informatica) --- communicatietechnologie
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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.
Computer programming. --- Programming languages (Electronic computers). --- Computer organization. --- Computer mathematics. --- Computational complexity. --- Computer science—Mathematics. --- Programming Techniques. --- Programming Languages, Compilers, Interpreters. --- Computer Systems Organization and Communication Networks. --- Computational Mathematics and Numerical Analysis. --- Complexity. --- Mathematics of Computing.
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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.
Computer programming. --- Programming languages (Electronic computers). --- Computer organization. --- Computer mathematics. --- Computational complexity. --- Computer science—Mathematics. --- Programming Techniques. --- Programming Languages, Compilers, Interpreters. --- Computer Systems Organization and Communication Networks. --- Computational Mathematics and Numerical Analysis. --- Complexity. --- Mathematics of Computing.
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Kurzüberblick Multicore-Prozessoren.- Konzepte paralleler Programmierung.- Thread-Programmierung.- Programmierung mit Pthreads.- Java-Threads.- OpenMP.- Weitere Ansätze.
Computers. --- Computer programming. --- Theory of Computation. --- Programming Techniques.
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