This publication provides an in-depth interpretation of UPC language specifications for use in highly parallel systems. With its extensive use of examples, UPC programming case studies, and illustrations, it offers new insights into developing efficient and effective UPC applications such as high-speed signal processing and pattern recognition. As an added feature, readers have access to an ftp site containing an electronic copy of the full code and can make files for all the examples given in the text.

The book provides all the information and guidance needed to use this powerful new programming language:

• Chapter 1 provides a quick tutorial of the major features of the UPC language
• Chapter 2 presents the UPC programming model and describes how shared and nonshared data are declared and used
• Chapter 3 covers the critically important concept of pointers in UPC, identifying the types, declarations, and usage of the various UPC pointers and how they work with arrays
• Chapter 4 explains how data and work can be distributed in UPC such that data locality is exploited through efficient data declarations and work-sharing constructs
• Chapter 5 provides extensive treatment of dynamic memory allocation in the shared space
• Chapter 6 covers thread and data synchronization, explaining the effective mechanisms provided by UPC for mutual exclusion, barriers, and memory consistency control
• Chapter 7 offers programmers tools needed to write efficient applications
• Chapter 8 introduces two UPC standard libraries: the collective operations library and the parallel I/O library
• Appendices feature the UPC v1.1.1 specification; UPC v1.0 collective library specifications; UPC-IO v1.0 specifications; information on how to compile and run UPC programs; and a quick UPC reference card

UPC is ubiquitous. It is supported on parallel computers from HP, Cray, SGI, IBM, as well as on computer clusters. This is the authoritative source for learning how to master this programming language; El-Ghazawi, Carlson, and Yelick are among the developers of UPC.

About the Author
TAREK EL-GHAZAWI, PHD, is Professor, Electrical and Computer Engineering Department, The George Washington University. His research interests include high-performance computing, computer architecture, reconfigurable computing, embedded systems, and experimental performance.

WILLIAM CARLSON, PHD, is affiliated with the IDA Center for Computing Sciences. His research interests include performance evaluation of advanced computer architectures, operating systems, languages, and computers for parallel and distributed systems.

THOMAS STERLING, PHD, is a professor at Caltech and its Jet Propulsion Laboratory. His research interests include parallel computing architecture, cluster computing, petaflop computing, and systems software and evaluation.

KATHERINE YELICK, PHD, is Professor of Computer Science, University of California, Berkeley. Her research interests include parallel computing, memory hierarchy optimizations, programming languages, and compilers.