UPC – Distributed Shared Memory Programming

This is the first book to explain the language Unified Parallel C and its use. Authors El-Ghazawi, Carlson, and Sterling are among the developers of UPC, with close links with the industrial members of the UPC consortium. Their text covers background material on parallel architectures and algorithms, and includes UPC programming case studies. This book represents an invaluable resource for the growing number of UPC users and applications developers. More information about UPC can be found at: http://upc.gwu.edu/

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Tarek El-Ghazawi received his PhD in electrical and computer engineering from New Mexico State University. Currently, he is an associate professor in the Electrical and Computer Engineering??Department at the George Washington University. His research? interests are in high-performance computing, computer architecture, reconfigurable computing, embedded systems, and experimental performance. He has over 70 technical journal and conference publications in these areas. He has served as the principal investigator for over two dozen funded research projects, and his research has been supported by NASA, DoD, NSF and industry. He has served as a guest editor for the IEEE concurrency and was an Associate Editor for the International Journal of Parallel and Distributed Computing and Networking. El-Ghazawi has also served as a visiting scientist at NASA GSFC and NASA Ames Research Center. He is a senior member of the IEEE and a member of the advisory board for the IEEE Task Force on Cluster Computing.

William Carlson received his PhD in Electrical Engineering from Purdue University. From 1988 to 1990, he was an assistant professor at the University of Wisconsin-Madision. His research interestes include performance evaluation of advanced computer architectures, operating systems, languages and compilers for parallel and distributed computers.

Thomas Sterling received his PhD as a Hertz Fellow from the Massachusetts Institute of Technology. His research interests include parallel computer architecture, system software and evaluation. He holds six patents, is the co-author of several books and has published dozens of papers in the field of parallel Computing.

Katherine Yelick received her? PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Her research interests include parallel computing, memory hierarchy optimizations, programming languages and compilers. Currently, she is a Professor of Computer Science at the University of California, Berkeley.