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Fall 2021
May 09, 2025
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CMPS 465 - Parallel Computing
Fundamental concepts and practical aspects underlying the design and engineering of modern parallel computing systems including system models and enabling technologies, parallel architectures, parallelization strategies, parallel algorithms and their applications, optimization and performance, implementation frameworks and languages, programming models and design principles for parallel and distributed computing. Students acquire hands-on experience in the design and development of parallel and distributed computing systems.
3.000 Credit hours
3.000 Lecture hours

Syllabus Available
Levels: Undergraduate
Schedule Types: Lecture

Computer Science & Engineering Department

Course Attributes:
Engineering Course (TUI)

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate

Prerequisites:
Undergraduate level CMPS 405 Minimum Grade of D

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