This accessible text covers the techniques of parallel programming in a practical manner that enables readers to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead on parallel programs that can be executed on networked computers using freely available parallel software tools. KEY TOPICS: The book covers the timely topic of cluster programming, interesting to many programmers due to the recent availability of low-cost computers. Uses MPI pseudocodes to describe algorithms and allows different programming tools to be implemented, and provides readers with thorough coverage of shared memory programming, including Pthreads and OpenMP. MARKET: Useful as a professional reference for programmers and system administrators.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
67171-9
Designed for an undergraduate computer science student or professional, this accessible text covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead on parallel programs that can be executed on networked workstations using freely available parallel software tools.
Key Features:
Designed for undergraduate/graduate-level parallel programming courses.
This nontheoretical, highly accessible text―which is linked to real parallel programming software―covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead only on parallel programs that can be executed on networked workstations using freely available parallel software tools. The Second Edition has been revised to incorporate a greater focus on cluster programming as this type of programming has become more widespread with the availability of low-cost computers.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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