This UP provides the theoretical basics of parallel and distributed computing
| On completion of the unit, the student will be capable of: | Classification level | Priority |
|---|---|---|
| Basic models for parallel computing | 1. Knowledge | Important |
| Complexity of a parallel or distributed algorithm | 4. Analyse | Important |
| The techniques of OpenMP programming | 3. Apply | Important |
| Developing algorithms and parallel programmes | 4. Analyse | Essential |
| Percentage ratio of individual assessment | Percentage ratio of group assessment | ||||
|---|---|---|---|---|---|
| Written exam: | 50 | % | Project submission: | 0 | % |
| Individual oral exam: | 0 | % | Group presentation: | 0 | % |
| Individual presentation: | 0 | % | Group practical exercise: | 0 | % |
| Individual practical exercise: | 50 | % | Group report: | 0 | % |
| Individual report: | 0 | % | |||
| Other(s): 0 % | |||||
| Type of teaching activity | Content, sequencing and organisation |
|---|---|
| (inter)active Amphitheatre | Course provided by Mihaela Juganaru-Mathieu |
| Supervised studies | Design of parallel algorithms Complexity evaluation |
| Practical courses | Parallel programing by threads ~ 4,5h, course / practical work given by M. Juganaru-Mathieu The student will be introduced to multi-threaded (or multi-core) parallel programming. Practical work will be based on the OpenMP library. |