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17164-01 - Vorlesung: High Performance Computing 4 KP

Semester Frühjahrsemester 2019
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 for Big Data Analytics, HPC for AI
* Novel/upcoming models of computation
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
* Dctoral students

from computer science, computational science (biology, physics, chemistry) as well as humanities and all disciplines that (need to) process information on more than one computer and demand high performance.

 

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 Exercises: https://courses.cs.unibas.ch
Unterrichtssprache Englisch
Weblink Website of the HPC Lecture
Einsatz digitaler Medien Online-Angebot obligatorisch
HörerInnen willkommen

 

Intervall wöchentlich
Datum 21.02.2019 – 23.05.2019
Zeit Donnerstag, 10.15-12.00 Spiegelgasse 1, Seminarraum 00.003
Datum Zeit Raum
Donnerstag 21.02.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 28.02.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 07.03.2019 10.15-12.00 Uhr Kollegienhaus, Seminarraum 209
Donnerstag 14.03.2019 10.15-12.00 Uhr Fasnachtsferien
Donnerstag 21.03.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 28.03.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 04.04.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 11.04.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 18.04.2019 10.15-12.00 Uhr Ostern
Donnerstag 25.04.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 02.05.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 09.05.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 16.05.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 23.05.2019 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
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.

Examination date: 7 June 2019, room Spiegelgasse 1, SR 00.003
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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