LFU:online

After completing this module, students know and understand the basic concepts of parallel systems and parallel programming and can apply them. They are able to develop, optimise and analyse programmes for parallel computers with shared memories in terms of performance. They have acquired the skill to work out similar contents themselves.

Introduction to basic concepts of parallel computing, types and properties of modern shared-memory parallel computers, performance metrics such as speedup and efficiency, programming in OpenMP, data dependence analysis, work and data distribution, optimization of parallel programs, selected parallel algorithms

Practical exercises

Combined (oral and written)

To be discussed in the seminar

Programming skills in C or C++

Groups 1, 2, 4 and 5 will be held in German, groups 3 and 6 will be held in English.

Allocation of places in courses with a limited number of participants (PS, SE, VU, PJ)

In courses with a limited number of participants, course places are allocated as follows:

1. Students for whom the study duration would be extended due to the postponement are to be given priority.

2. If the criteria in no. 1 do not suffice, first, students for whom this course is part of a compulsory module are to be given priority, and second, students for whom this course is part of an elective module.

3. If the criteria in no. 1 and 2 do not suffice, the available places are drawn by random.

Curriculum BA Computer Science 2019W