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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