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.

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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.

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