How do we solve the large-scale problems of science quickly on modern computers? How do we measure the performance of new or existing simulation codes, and what things can we do to make them run faster? How can we best take advantage of features like multicore processors, vector units, and graphics co-processors? These are the types of questions we will address in CS 5220, Applications of Parallel Computers. Topics include:
Because our examples will be drawn primarily from engineering and scientific computations, we will assume some prior exposure to numerical methods (e.g. at the level of CS 3220). Students should also be able to read and write serial programs written in C. Prior exposure to parallel programming is not required, and non-CS students from fields involving simulation are particularly welcome!
See the syllabus for more information.