After successful completion of the course, students are able to work independently with a given, delineated scientific subject and document the achieved results in written form, including the arguments and experimental backup for the claimed results.
Literature studies, analysis of algorithms and implementations, own implementations, testing and benchmarking.
Concrete Parallel Computing topics will be discussed nd agreed on with the supervisor.
Individual discussions with supervisor, frequent oral and written communication, feedback on the final thesis.
Grading of written Bachelor Thesis.
Not necessary
Introduction to Parallel Computing