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| 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. |
| 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 | Exercises: https://courses.cs.unibas.ch |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | Online-Angebot obligatorisch |
| HörerInnen willkommen |
| Intervall | Wochentag | Zeit | Raum |
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Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.
| 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 | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| 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 |