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. 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.
Useful as a professional reference for programmers and system
administrators.
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