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17164-01 - Vorlesung: High Performance Computing 4 KP

Semester Frühjahrsemester 2023
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

 

Teilnahmebedingungen 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 wöchentlich
Datum 23.02.2023 – 14.06.2023
Zeit Donnerstag, 10.15-12.00 Spiegelgasse 5, Seminarraum 05.002
Datum Zeit Raum
Donnerstag 23.02.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 02.03.2023 10.15-12.00 Uhr Fasnachstferien
Donnerstag 09.03.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 16.03.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 23.03.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 30.03.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 06.04.2023 10.15-12.00 Uhr Ostern
Donnerstag 13.04.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 20.04.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 27.04.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 04.05.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 11.05.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 18.05.2023 10.15-12.00 Uhr Auffahrt
Donnerstag 25.05.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 01.06.2023 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Mittwoch 14.06.2023 10.00-12.00 Uhr Alte Universität, Seminarraum -201
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 (Master Studienfach Computer Science)
Modul: Concepts of Distributed Systems (Masterstudium: Computer Science)
Vertiefungsfächer Theorie und Vertiefungsfächer Biologie (Masterstudium: Computational Biology and Bioinformatics)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung 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.
An-/Abmeldung zur Leistungsüberprüfung An-/Abmelden: Belegen resp. Stornieren der Belegung via MOnA
Wiederholungsprüfung keine Wiederholungsprüfung
Skala 1-6 0,5
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch
Anbietende Organisationseinheit Fachbereich Informatik

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