This course is concerned with the design, analysis, and implementation of algorithms for sequential and parallel models of computation. Traditional algorithmic techniques, including divide-and-conquer, dynamic programming, and greedy algorithms will be discussed. Models of computation include the traditional RAM, as well as standard parallel models, such as the PRAM, array, ring, mesh, hypercube, and pyramid. We also consider innovative parallel models that involve dynamic reconfiguration. In addition, we discuss algorithmic strategies for Network of Workstations, clusters, grids, and clouds. Problem domains include computational geometry, graph theory, image analysis, sorting, and searching. Time, space, and processor complexity of solutions to problems are a critical component to the course.
Copyright © 2014 by Russ Miller.
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