Detailed Course Information |
Spring 2024 Semester
Oct 31, 2024 |
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| CS 6240 - Large-Scale Parallel Data Processing |
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Covers big-data analysis techniques that scale out with increasing number of compute nodes, e.g., for cloud computing. Emphasizes approaches for problem and data partitioning that distribute work effectively, while keeping total cost for computation and data transfer low. Studies and analyzes deterministic and random algorithms from a variety of domains, including graphs, data mining, linear algebra, and information retrieval in terms of their cost, scalability, and robustness against skew. Course work emphasizes hands-on programming experience with modern state-of-the-art big-data processing technology. Students who do not meet course prerequisites may seek permission of instructor.
4.000 Credit hours 4.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Computer Science Department Course Attributes: GSCS Computer & Info Science Restrictions: Must be enrolled in one of the following Levels: Graduate Must be enrolled in one of the following Colleges: Khoury Coll of Comp Sciences Must be enrolled in one of the following Classifications: Graduate Prerequisites: Graduate level CS 5800 Minimum Grade of C- or Graduate level CS 7800 Minimum Grade of C- or Graduate level EECE 7205 Minimum Grade of C- |
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