3 Review(s)

From the basics of algorithm designs and parallel programming to the design and analysis of parallel programming, the book provides information on the various aspects of parallel computing. Divided into 13 chapters, Introduction to Parallel Computing covers a wide range of topics including Motivating Parallelism, Scope of Parallel Computing, Parallel Programming Platforms, Principles of Parallel Algorithm Design, Dense Matrix Algorithms, Dynamic Programming and Fast Fourier Transform. Most of the chapters in the book include examples and illustrations. It also includes problems that supplement the text and even includes bibliographic material for further advanced research. The comprehensive subject index is also helpful to locate terms in the text. Wherever possible the book employs an architecture-independent view of the underlying platforms and designs algorithms for an abstract model. Message Passing Interface (MPI), POSIX threads and Open MP have been selected as programming models and the evolving application mix of parallel computing is reflected in various examples throughout the book. The book deals with the new developments in the field of parallel computing and also covers the more traditional problems of parallel computers. First published in 2004, the book has proved useful to many UG and PG students in the field of science and engineering. About the Author Anant Grama is a professor of Computer Science at the Purdue University. He has also co-authored Introduction to Parallel Computing: Design and Analysis of Algorithms He is a member of American Association for Advancement of Sciences and Sigma Xi. Professor Grama has authored several papers and his research interests span the areas of parallel and distributed computing architectures, algorithms, and applications. Anshul Gupta is a member of the research staff at the IBM T. J. Watson Research Center. His research areas are parallel algorithms and scientific computing. He is the co-author of High Performance Computing in Power and Energy Systems. Vipin Kumar is Professor in the Department of Computer Science and Engineering and the Director of the Army High Performance Computing Research Center at the University of Minnesota. He has also co-authored Introduction to Parallel Computing: Design, Introduction to Data Mining and Analysis of Algorithms and Managing Cyber Threats. His research includes high performance computing, parallel algorithms for scientific computing problems and data mining. George Karypis is the Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota, working on parallel algorithm design, graph partitioning, data mining, and bioinformatics. His other works include Introduction to Protein Structure Prediction: Methods and Algorithms, Science and Technology Text Mining: Electric Power Sources and Advanced Data Mining and Applications: 8th International Conference, Adma 2012, Nanjing, China, December 15-18, 2012, Proceedings.