Workload:
180 h
|
Module Number INFO-4174 |
Module Title Massively Parallel Computing |
Lecture Type(s) Practical Course |
|---|---|---|
| ECTS | 6 | |
|
Work load - Contact time - Self study |
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h |
|
| Duration | 1 Semester | |
| Frequency | In the summer semester | |
| Language of instruction | English | |
| Type of Exam | Presentation and written report |
|
| Content | The efficient implementation and realization of algorithms from different areas of computer science or related disciplines on massively parallel architectures will be taught. Furthermore, the programming of massively parallel computer systems GPU, and the associated challenges such as memory management, branching, synchronization are covered. In addition to GPU programming, the focus is also on measuring and comparing the performance of parallel applications. |
|
| Objectives | Students can independently (in small groups) plan, implement and execute the implementation of computationally intensive tasks on massively parallel computers. They are able to measure and analyse the runtime of parallel applications. |
|
| Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Practical Course
P
o
3
6.0
tp
g
100
|
|
| Prerequisite for participation | INFO-4173 Massively Parallel Computing | |
| Lecturer / Other | Lensch | |
| Literature | Entwicklungsumgebung wird zur Verfügung gestellt, NVIDIA CUDA page |
|
| Last offered | unknown | |
| Planned for | currently not planned | |
| Assigned Study Areas | INFO-INFO, INFO-PRAK, INFO-TECH, MEDI-APPL, MEDI-INFO, MEDI-MEDI, MEDI-MMT, MEDI-PRAX, MEDI-VIS, MEDZ-MEDTECH, ML-CS | |