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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
---|---|---|---|---|---|---|
Parallel Programming | YZM317 | Elective | Bachelor's degree | 3 | Fall | 5 |
Assistant Prof. Dr. Kaplan KAPLAN
1) Defines and recalls the basic concepts and terminology of parallel programming.
2) Lists the fundamental components of parallel and distributed systems.
3) Explains parallel programming models and techniques, comparing their advantages and disadvantages.
4) Installs and uses parallel programming tools and libraries (e.g., MPI, OpenMP, CUDA).
5) Writes simple parallel algorithms, analyzes the performance of parallel programs and identifies bottlenecks.
6) Designs and implements a new parallel programming model to solve a particular problem.
Program Competencies | ||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
Learning Outcomes | ||||||||||
1 | Middle | Low | High | Low | Low | Middle | Low | High | Low | |
2 | Middle | High | High | Low | Low | Middle | Low | High | Middle | |
3 | Middle | Middle | Middle | Low | Middle | Middle | High | Middle | Low | |
4 | Low | High | High | Low | Middle | Low | Middle | Middle | High | |
5 | Middle | Middle | High | Low | Middle | High | Low | Middle | Middle | |
6 | Low | Middle | High | Middle | Middle | High | Low | High | Middle |
Face to Face
None
Not Required
Introduction and application areas of parallel programming. Problems related to parallel programming: synchronization, communication, critical sections. Synchronization mechanisms: semaphores, monitors and others. Ways of implementation and applications. Communication primitives based on message transfer. Meeting (rendez-vous) structure. Parallel programming languages: CSP, Occam, and Ada. Design and analysis of classical parallel algorithm examples.
Turkish
Not Required