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17164-01 - Vorlesung: High Performance Computing (4 KP)
| Semester | Frühjahrsemester 2025 |
| Weitere Semesterveranstaltungen zu diesen KP |
17164-01 (Vorlesung) 17164-02 (Übung) |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende | Florina M. Ciorba (florina.ciorba@unibas.ch, BeurteilerIn) |
| Inhalt | 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 |
| Lernziele | 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). |
| Literatur | Course material, such as book titles and links to online information, are provided in the lectures. |
| Bemerkungen | Target group: * Bachelor * Master * 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 |
| Teilnahmevoraussetzungen | 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. |
| Anmeldung zur Lehrveranstaltung | Your MOnA account. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| HörerInnen willkommen |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Donnerstag | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
Einzeltermine
| Datum | Zeit | Raum |
|---|---|---|
| Donnerstag 20.02.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 27.02.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 06.03.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 13.03.2025 | 10.15-12.00 Uhr | Fasnachstferien |
| Donnerstag 20.03.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 27.03.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 03.04.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 10.04.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 17.04.2025 | 10.15-12.00 Uhr | Ostern |
| Donnerstag 24.04.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 01.05.2025 | 10.15-12.00 Uhr | Tag der Arbeit |
| Donnerstag 08.05.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 15.05.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 22.05.2025 | 10.15-12.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Donnerstag 29.05.2025 | 10.15-12.00 Uhr | Auffahrt |
| Module |
Doktorat Informatik: Empfehlungen (Promotionsfach: Informatik) Modul: Applications of Distributed Systems (Masterstudium: Computer Science) Modul: Applications of Machine Intelligence (Masterstudium: Computer Science) Modul: Concepts of Distributed Systems (Masterstudium: Computer Science) Modul: Concepts of Distributed Systems (Master Studienfach: Computer Science) Modul: Systems Foundations (Masterstudium: Data Science) Vertiefungsfächer Theorie und Vertiefungsfächer Biologie (Masterstudium: Computational Biology and Bioinformatics) |
| Prüfung | Lehrveranst.-begleitend |
| Hinweise zur Prüfung | 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: tba (written exam, with presence) |
| An-/Abmeldung zur Prüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,5 |
| Belegen bei Nichtbestehen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Fachbereich Informatik |