"An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP, and CUDA. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architectures, 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. Key features: 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, and CUDA APIs; A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank; New chapters on GPU programming and heterogeneous programming; New examples and exercises related to parallel program development."--Page 4 of cover

lgrsnf/An Introduction to Parallel Programming 2022.epub

lgli/An Introduction to Parallel Programming 2022.epub

An introduction to parallel programming / Peter S. Pacheco, Matthew Malensek

Pacheco, Peter, Malensek PhD Computer Science Colorado State University, Matthew

Elsevier Science & Technology; Morgan Kaufmann

Elsevier, MK Morgan Kaufmann Publishers

Elsevier Science & Technology Books

Academic Press, Incorporated

Brooks/Cole

United States, United States of America

Second edition, Cambridge, MA, 2022

Second edition, Amsterdam, 2021

2, San Francisco, 2018

2, 2021

{"edition":"2","isbns":["0128046058","012804618X","9780128046050","9780128046180"],"last_page":496,"publisher":"Morgan Kaufmann"}

<i>An Introduction to Parallel Programming, Second Edition</i> presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.<br><br>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.<ul> <li>Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples</li> <li>Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models</li> <li>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:</li> <li>New chapters on GPU programming and heterogeneous programming</li> <li>New examples and exercises related to parallel algorithms</li></ul>

2021-09-26