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An Introduction to Parallel Programming


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The first true undergraduate text in parallel programming, covering OpenMP, MPI, and Pthreads

Table of Contents

1. Why Parallel Computing 2. Parallel Hardware and Parallel Software 3. Distributed Memory Programming with MPI 4. Shared Memory Programming with Pthreads 5. Shared Memory Programming with OpenMP 6. Parallel Program Development 7. Where to Go from Here

About the Author

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


"Pacheco succeeds in introducing the reader to the key issues and considerations in parallel programming. The simplicity of the examples allows the reader to focus on parallel programming aspects rather than application logic. Including both MPI and Pthreads/OpenMP is a good way to illustrate the differences between message passing and shared-memory programming models. The discussions about analyzing the scalability and efficiency of the resulting parallel programs present a key aspect of developing real parallel programs. Finally, working through the same examples using all three facilities helps make this even more concrete."--W. Hu, "[T]his is a well-written book, appropriately targeted at junior undergraduates. Being easily digestible, it makes the difficult task of parallel programming come across a lot less daunting than I have seen in other texts. Admittedly, it is light on theory; however, the most memorable lessons in parallel programming are those learned from mistakes made. With over 100 programming exercises, learning opportunities abound."--Bernard Kuc, ACM's Computing With the coming of multicore processors and the cloud, parallel computing is most certainly not a niche area off in a corner of the computing world. Parallelism has become central to the efficient use of resources, and this new textbook by Peter Pacheco will go a long way toward introducing students early in their academic careers to both the art and practice of parallel computing. Duncan Buell Department of Computer Science and Engineering University of South Carolina An Introduction to Parallel Programming illustrates fundamental programming principles in the increasingly important area of shared memory programming using Pthreads and OpenMP and distributed memory programming using MPI. More importantly, it emphasizes good programming practices by indicating potential performance pitfalls. These topics are presented in the context of a variety of disciplines including computer science, physics and mathematics. The chapters include numerous programming exercises that range from easy to very challenging. This is an ideal book for students or professionals looking to learn parallel programming skills or to refresh their knowledge. Leigh Little Department of Computational Science The College at Brockport, The State University of New York An Introduction to Parallel Programming is a well written, comprehensive book on the field of parallel computing. Students and practitioners alike will appreciate the relevant, up-to-date information. Peter Pacheco's very accessible writing style combined with numerous interesting examples keeps the reader's attention. In a field that races forward at a dizzying pace, this book hangs on for the wild ride covering the ins and outs of parallel hardware and software. Kathy J. Liszka Department of Computer Science University of Akron Parallel computing is the future and this book really helps introduce this complicated subject with practical and useful examples. Andrew N. Sloss FBCS Consultant Engineer, ARM Author of ARM System Developer's Guide

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