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.
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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:
How can we use this book to help us write parallel programs?
First, when you’re interested in high-performance, whether you’re writing serial or parallel programs, you need to know a little bit about the systems you’re working with--both hardware and software. In Chapter 2, we’ll give an overview of parallel hardware and software. In order to understand this discussion, it will be necessary to review some information on serial hardware and software. Much of the material in Chapter 2 won’t be needed when we’re getting started, so you might want to skim some of this material, and refer back to it occasionally when you’re reading later chapters.
The heart of the book is contained in Chapters 3 through 6. Chapters 3, 4, and 5 provide a very elementary introduction to programming parallel systems using C and MPI, Pthreads, and OpenMP, respectively. The only prerequisite for reading these chapters is a knowledge of C programming. We’ve tried to make these chapters independent of each other, and you should be able to read them in any order. However, in order to make them independent, we did find it necessary to repeat some material. So if you’ve read one of the three chapters, and you go on to read another, be prepared to skim over some of the material in the new chapter.
Chapter 6 puts together all we’ve learned in the preceding chapters, and develops two fairly large programs in both a shared- and a distributed-memory setting. However, it should be possible to read much of this even if you’ve only read one of Chapters 3, 4, or 5. The last chapter, Chapter 7, provides a few suggestions for further study on parallel programming.
Read a sample chapter from An Introduction to Parallel ProgrammingFrom the Back Cover:
Learn how to fully harness the power of parallel computing using MPI, PThreads, and OpenMP.
An Introduction to Parallel Programming
Peter S. Pacheco, University of San Francisco
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
Parallel programming is no longer just for specialists. If you want to fully exploit the power of clusters and multicore processors, it's essential that you learn the basics of distributed- and shared-memory parallel programming. An Introduction to Parallel Programming uses a tutorial approach to show you how to develop effective parallel programs with MPI, PThreads, and OpenMP. Whether you are a student or a practicing professional, Peter Pacheco’s new book will show you how to design, debug, and evaluate the performance of distributed and shared-memory programs.
About the Author
Peter S. Pacheco Professor Computer Science and Mathematics University of San Francisco
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