An Introduction to Parallel Programming

Pacheco, Peter

ISBN 10: 0123742609 / ISBN 13: 9780123742605

Published by Morgan Kaufmann, 2011

About this Item

Ships same or next business day with delivery confirmation. Good condition. May or may not contain highlighting. Expedited shipping available. Seller Inventory # 1000009345368-1954

Bibliographic Details

Title: An Introduction to Parallel Programming

Publisher: Morgan Kaufmann

Publication Date: 2011

Binding: Hardcover

Condition: Good

About this title

Synopsis:

Author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, PThreads, and OpenMP. The first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture, An Introduction to Parallel Programming explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. 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

Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs

Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models

Product Description:

An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones., The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing.