Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers

Wilkinson, Barry, Allen, Michael

ISBN 10: 0136717101 / ISBN 13: 9780136717102

Editore: Prentice Hall, 1998

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Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Codice articolo 00067351777

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Titolo: Parallel Programming: Techniques and ...

Casa editrice: Prentice Hall

Data di pubblicazione: 1998

Legatura: Brossura

Condizione: Good

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Riassunto:

Designed for undergraduate 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.

Dalla quarta di copertina:

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.