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17164-01 - Vorlesung: High Performance Computing 4 KP

Semester Frühjahrsemester 2022
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
* Debate a hot topic in HPC
Lernziele 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.
Literatur Lecture material, such as book titles and links to online information, are provided in course.
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.
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.
Anmeldung zur Lehrveranstaltung Your MOnA account.
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz
HörerInnen willkommen

 

Intervall wöchentlich
Datum 24.02.2022 – 16.06.2022
Zeit Donnerstag, 10.15-12.00 Spiegelgasse 5, Seminarraum 05.002
Datum Zeit Raum
Donnerstag 24.02.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 03.03.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 10.03.2022 10.15-12.00 Uhr Fasnachtsferien
Donnerstag 17.03.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 24.03.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 31.03.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 07.04.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 14.04.2022 10.15-12.00 Uhr Ostern
Donnerstag 21.04.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 28.04.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 05.05.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 12.05.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 19.05.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 26.05.2022 10.15-12.00 Uhr Auffahrt
Donnerstag 02.06.2022 10.15-12.00 Uhr Spiegelgasse 5, Seminarraum 05.002
Donnerstag 16.06.2022 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 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.
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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