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.
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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.
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