As 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 challeg 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, able 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



DOWNLOAD
uploadgig.com


rapidgator.net


nitro.download