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

Wilkinson, Barry; Allen, Michael

Softcover

ISBN 10: 0131405632 ISBN 13: 9780131405639

Publisher: Pearson, 2004

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

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.

Edition details

• Publisher: Pearson
• Publication date: 2004
• ISBN 10: 0131405632
• ISBN 13: 9780131405639
• Binding: Paperback
• Language: English
• Edition number: 2
• Number of pages: 496