Duration:
1 Semester | Turnus of offer:
normally each year in the summer semester | Credit points:
4 |
Course of studies, specific field and terms: - Master Entrepreneurship in Digital Technologies 2014 (module part), Module part, Arbitrary semester
- Master Computer Science 2014 (module part), Module part, Arbitrary semester
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Classes and lectures: - Parallel Computing (lecture with exercises, 3 SWS)
| Workload: - 45 Hours in-classroom work
- 65 Hours private studies and exercises
- 10 Hours exam preparation
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Contents of teaching: | - Parallel architectures
- Programming language support for parallel programming
- Design methodologies for parallel algorithms
- Implementation of parallel algorithms
- Parallel search and sorting
- Parallel graph algorithms
- Parallel formula evaluation
- Speedup, efficiency, parallel complexity classes
- Limits of parallelism and lower bounds
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Qualification-goals/Competencies: - Studentes are able to describe the design and function of parallel systems.
- They are able to design and implement parallel algorithms.
- They are able to analyze parallel systems and programs.
- They are able to describe the limits of parallel systems.
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Grading through: - exam type depends on main module
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Requires: |
Responsible for this module: Teachers: |
Literature: - Jaja: An Introduction to Parallel Algorithms - Addison Wesley, 1992
- Quinn: Parallel Programming in C with MPI and OpenMP - McGraw Hill, 2004
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Language: |
Letzte Änderung: 10.7.2019 |
für die Ukraine