Principles of Parallel Programming - Tapa dura

Acerca del autor

Lawrence Snyder is Professor of Computer Science and Engineering at the University of Washington in Seattle. He received his PhD from Carnegie Mellon University and has devoted most of his career to parallel computation research, including architecture, algorithms and languages. With Calvin Lin and UW graduate students, he developed the ZPL parallel programming language. He is a fellow of the ACM and IEEE. He is an ardent traveler, enthusiastic theater-goer and occasional skier.
Calvin Lin is an Associate Professor of Computer Sciences at The University of Texas at Austin, where he also serves as Director of the Turing Scholars Honors Program of undergraduate CS majors. He received his PhD from the University of Washington under the supervision of Lawrence Snyder. His current research interests include compilers and micro-architecture. In his spare time, he is an avid ultimate Frisbee player and coach of UT’s Men’s Ultimate Frisbee team.

De la contraportada

With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Principles of Parallel Programming, written by well-known researchers Calvin Lin and Lawrence Snyder, focuses on the underlying principles of parallel computation, explains the various phenomena, and clarifies why these phenomena represent opportunities or barriers to successful parallel programming.

This book is ideal for an upper-level undergraduate or master's level course, or for a professional programmer seeking an introduction to parallelism. The text supplies valuable, enduring information that will outlive the current hardware and software.

KEY FEATURES

• A principles-first approach emphasizes the fundamental concepts of parallel computation rather than offering a "how-to" guide for current commercial products.
• Popular programming languages are discussed in the context of the principles and tools used for programming contemporary parallel machines.
• Note boxes provide interesting extensions of the information presented.
• Definition boxes define key words and concepts.
• Chapter exercises offer opportunities to implement the concepts discussed.
• Future Directions in Parallel Programming (Chapter 10) focuses on current developments that are likely to impact the field.
• Writing Parallel Programs (Chapter 11) provides hands-on practice for readers to create a substantial parallel program.