|Semester||spring semester 2022|
|Course frequency||Every spring sem.|
|Lecturers||Florina M. Ciorba (email@example.com, 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
* Debate a hot topic in HPC
|Learning objectives||The objective is to offer the students an advanced understanding of when problems require parallelization, how can they be parallelized, and then programmed in parallel, as well as how they perform and what factors affect their performance when executing on parallel architectures.
The course will leave students with an excellent overview of current programming models for high performance computers (HPC) and practical use of HPC systems.
|Bibliography||Lecture material, such as book titles and links to online information, are provided in course.|
* 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.
|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.
|Course application||Your MOnA account.|
|Language of instruction||English|
|Use of digital media||No specific media used|
|Course auditors welcome|
|Date||24.02.2022 – 16.06.2022|
Thursday, 10.15-12.00 Spiegelgasse 5, Seminarraum 05.002
|Thursday 24.02.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 03.03.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 17.03.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 24.03.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 31.03.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 07.04.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 21.04.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 28.04.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 05.05.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 12.05.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 19.05.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 02.06.2022||10.15-12.00||Spiegelgasse 5, Seminarraum 05.002|
|Thursday 16.06.2022||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 assessment of the lecture will be in the form of a *written examination*.
The grade of the written examination represents the final grade for the lecture.
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: 16 June 2022, 10-12 a.m. (written exams, with presence), Alte Uni, HS -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, firstname.lastname@example.org|
|Offered by||Fachbereich Informatik|