Algorithms Sequential and Parallel: A Unified Approach (Electrical and Computer Engineering Series) - Tapa dura

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.

Laurence Boxer (Buffalo, NY) serves as the chair and faculty member at Niagara University in the Department of Computer and Information Sciences and a member of the editorial board of the Journal of Computing and Information. Russ Miller (Buffalo, NY) is the Director of the Center for Computational Research and a Professor of Computer Science and Engineering at the State University of New York at Buffalo (SUNY-Buffalo). He co-authored Parallel Algorithms for Regular Architectures: Meshes and Pyramids (The MIT Press, 1996) with Q.F.Stout.