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Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers - Softcover
Synopsis
Parallel Programming This non-theoretical text, 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. The second edition has been revised to incorporate a greater focus on cluster programming.
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From the Back Cover
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:
- Introduces parallel programming techniques as a natural extension to sequential programming, developing the basic techniques of message-passing parallel programming, and then studying problem-specific algorithms in both non-numeric and numeric domains.
- Requires no prerequisite in parallel programming; assumes only C programming knowledge.
- Uses MPI and PVM pseudocodes to describe algorithms and allows different programming tools to be implemented.
- Provides students with thorough coverage of shared memory programming and Pthreads to assist them in shared memory programming assignments.
- Explores such applications as numerical algorithms, image processing, searching, and optimization.
Synopsis
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.
"About this title" may belong to another edition of this title.
- PublisherPearson
- Publication date2004
- ISBN 10 0131405632
- ISBN 13 9780131405639
- BindingPaperback
- LanguageEnglish
- Edition number2
- Number of pages496
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