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Detailed Course Information


Fall 2019 Semester
Aug 02, 2021
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CS 6240 - Large-Scale Parallel Data Processing
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
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

Must be enrolled in one of the following Levels:     
Must be enrolled in one of the following Colleges:     
      Khoury Coll of Comp Sciences

Graduate level CS 5800 Minimum Grade of C- or Graduate level CS 7800 Minimum Grade of C- or Graduate level EECE 7206 Minimum Grade of C-

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