An Introduction to Parallel Programming

Peter S. Pacheco

ISBN 10: 0123742609 / ISBN 13: 9780123742605

Editore: Morgan Kaufmann, 2011

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nach der Bestellung gedruckt Neuware - Printed after ordering - With the advent of widely available clusters and multicore processors, parallel programming is no longer just for specialists. Many colleges and universities are integrating parallel programming into their computer science curricula; and because of the increase in availability of parallel hardware, many programming professionals now need to learn parallel programming. An Introduction to Parallel Programming meets their needs. Designed to be accessible to an undergraduate and novice audience, this book explains the hands-on development of parallel programs using MPI-1, Pthreads, and OpenMP. For students and practicing professionals, An Introduction to Parallel Programming shows how to design, debug, and evaluate the performance of distributed and shared-memory programs. User-friendly exercises teach readers how to compile, run and modify example programs.

Codice articolo 9780123742605

Dati bibliografici

• Titolo: An Introduction to Parallel Programming
• Editore: Morgan Kaufmann
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 0123742609
• ISBN 13: 9780123742605
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

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.

• 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

Informazioni sull?autore

Peter Pacheco received a PhD in mathematics from Florida State University. After completing graduate school, he became one of the first professors in UCLA's "Program in Computing," which teaches basic computer science to students at the College of Letters and Sciences there. Since leaving UCLA, he has been on the faculty of the University of San Francisco. At USF Peter has served as chair of the computer science department and is currently chair of the mathematics department. His research is in parallel scientific computing. He has worked on the development of parallel software for circuit simulation, speech recognition, and the simulation of large networks of biologically accurate neurons. Peter has been teaching parallel computing at both the undergraduate and graduate levels for nearly twenty years. He is the author of Parallel Programming with MPI, published by Morgan Kaufmann Publishers.