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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