|Semester||spring semester 2023|
|Course frequency||Every spring sem.|
|Lecturers||Florina M. Ciorba (firstname.lastname@example.org, Assessor)|
|Content||Deepen and expand the knowledge of parallel and distributed computing systems. We will discuss:
* Parallel systems architectures
* Parallel applications workloads
* Advanced parallel programming models and languages (OpenMP, MPI, OpenACC, CUDA, and combinations thereof)
* Fault tolerance and resilience
* Performance engineering and performance reproducibility
* HPC, Big Data, and AI
* Novel/upcoming models of computation
* Hold a debate on a hot topic in HPC
|Learning objectives||Offer students an advanced understanding parallelization of various problems and their parallel programming, as well as how their performance and factors that influence it when executing on parallel architectures.
The course will leave students with an up-to-date overview and the practical use of current programming models for achieving high performance computing (HPC).
|Bibliography||Course material, such as book titles and links to online information, are provided in the lectures.|
* Doctoral students
* Postdoctoral researchers
from computer science, computational science (biology, physics, chemistry) as well as digital humanities and all disciplines that (need to) process information on more than one computer and demand high performance (not productivity).
|Weblink||Website of the HPC Lecture|
|Admission requirements||Basic knowledge of the following topics is a plus, but not a prerequisite.
* Programming (C/C++ or Java),
* Foundations of Distributed Systems (MA lecture offered in the fall semesters).
Students with reduced computer science background are still encouraged to enroll and discuss their prior knowledge with the lecturer and the course assistants.
|Course application||Your MOnA account.|
|Language of instruction||English|
|Use of digital media||No specific media used|
|Course auditors welcome|
|Date||23.02.2023 – 14.06.2023|
Thursday, 10.15-12.00 Spiegelgasse 5, Seminarraum 05.002
|Thursday 23.02.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 09.03.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 16.03.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 23.03.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 30.03.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 13.04.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 20.04.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 27.04.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 04.05.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 11.05.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 25.05.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 01.06.2023||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Wednesday 14.06.2023||10.00-12.00||Alte Universität, Seminarraum -201|
Doctorate Computer Science: Recommendations (PhD subject Computer Science)
Modul: Concepts of Distributed Systems (Master's degree subject Computer Science)
Module: Applications of Distributed Systems (Master's Studies: Computer Science)
Module: Applications of Machine Intelligence (Master's Studies: Computer Science)
Module: Concepts of Distributed Systems (Master's Studies: Computer Science)
Vertiefungsfächer Theorie und Vertiefungsfächer Biologie (Master's Studies: Computational Biology and Bioinformatics)
|Assessment format||continuous assessment|
|Assessment details||The course assessment will be in the form of a *written examination*, which will result in the only (but final) grade of the course.
To be eligible to take the written examination, students must achieve a minimum of 50% of the number of points associated with *each* of the exercises accompanying the lecture.
Expected examination date: 14 June 2023, 10-12 a.m. (written exam, with presence), Alte Universität, room -201.
|Assessment registration/deregistration||Reg.: course registration, dereg: cancel course registration|
|Repeat examination||no repeat examination|
|Repeated registration||as often as necessary|
|Responsible faculty||Faculty of Science, email@example.com|
|Offered by||Fachbereich Informatik|