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Enables programs to be written in shared memory paradigm which has advantages over traditional message passing programming.
Provides students with the most current and concise information possible.
Students are provided with all the learning materials necessary for success in the course.
Describes algorithms and allows different programming tools to be implemented.
Assists student in shared memory programming assignments.
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.
I. BASIC TECHNIQUES.1. Parallel Computers.
II. ALGORITHMS AND APPLICATIONS.10. Sorting Algorithms.
Appendix A: Basic MPI Routines.
Appendix B: Basic Pthread Routines.
Appendix C: OpenMP Directives, Library Functions, and Environment Variables