"…The authors of the present book, who have extensive credentials in both research and instruction in the area of parallelism, present a sound, principled treatment of parallel algorithms. … This book is very well written and extremely well designed from an instructional point of view. … The authors have created an instructive and fascinating text. The book will serve researchers as well as instructors who need a solid, readable text for a course on parallelism in computing. Indeed, for anyone who wants an understandable text from which to acquire a current, rigorous, and broad view of parallel algorithms, including the principles for their design, development, and analysis, this book is highly recommended."
—SIAM Review, Vol. 52, No. 1, 2010
"… It extracts the main ideas and principles of parallel algorithms developed over the last few decades. … the authors perfectly explain not only homogeneous models (which are everyday problems on clusters of identical nodes) but also load balancing on heterogeneous platforms (connecting different clusters or many different workstations). This book can serve as a very good teaching book or a source of useful material for graduate students and researchers in parallel distributed memory architectures. It contains many schemes, diagrams, and pictures for better understanding, including many practical examples, case studies, and exercises."
—EMS Newsletter, June 2009
"Parallel Algorithms is a text meant for those with a desire to understand the theoretical underpinnings of parallelism from a computer science perspective. … [it provides] the tools you need to continue on a rigorous research track into the computer science aspects of parallel computing. … those motivated to work through the text will be rewarded with a solid foundation for the study of parallel algorithms."
—John West, HPCwire, April 2009
About the Author
University of Hawaii, Honolulu, Hawaii, USA CNRS, LIG Laboratory, University of Grenoble, France Ecole Normale Superieure de Lyon, France