Algorithms Sequential & Parallel: A Unified Approach

With multi-core processors replacing traditional processors and the movement to multiprocessor workstations and servers, parallel computing has moved from a specialty area to the core of computer science. In order to provide efficient and cost-effective solutions to problems, algorithms must be designed for multiprocessor systems. Algorithms Sequential and Parallel: A Unified Approach 2/E provides a state-of-the-art approach to an algorithms course. The book considers algorithms, paradigms, and the analysis of solutions to critical problems for sequential and parallel models of computation in a unified fashion. This gives practicing engineers and scientists, undergraduates, and beginning graduate students a background in algorithms for sequential and parallel algorithms within one text. Prerequisites include fundamentals of data structures, discrete mathematics, and calculus.

Russ Miller is founding director of SUNY-Buffalo’s Center for Computational Research, one of the leading supercomputing centers in the world. He also maintains appointments as Distinguished Professor of Computer Science and Engineering at SUNY-Buffalo and senior scientist at the Hauptman-Woodward Medical Research Institute. Dr. Miller has published nearly 200 journal and conference papers, chapters, and abstracts of presentations at national and international meetings in computational science, grid computing, parallel algorithms, parallel architectures, and molecular structure determination.

Laurence Boxer is Professor and past chair of the Department of Computer and Information Sciences at Niagara University, and is Research Professor of Computer Science and Engineering at SUNY-Buffalo. He is a past member of the editorial board of the Journal of Computing and Information and has authored or co-authored numerous journal articles and conference proceedings papers in algorithms for computational geometry, image processing, string pattern matching, and in digital topology.