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EbookBell Team
4.7
96 reviewsAs the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs.
Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples
Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models
A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank New to this edition:
New chapters on GPU programming and heterogeneous programming
New examples and exercises related to parallel algorithms
