052114 VU Distributed and Parallel Algorithms (2022S)
Prüfungsimmanente Lehrveranstaltung
Labels
DIGITAL
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 14.02.2022 09:00 bis Do 24.02.2022 10:00
- Abmeldung bis Mo 14.03.2022 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Dienstag
01.03.
13:15 - 14:45
Digital
Montag
07.03.
16:45 - 18:15
Digital
Dienstag
08.03.
13:15 - 14:45
Digital
Montag
14.03.
16:45 - 18:15
Digital
Dienstag
15.03.
13:15 - 14:45
Digital
Montag
21.03.
16:45 - 18:15
Digital
Dienstag
22.03.
13:15 - 14:45
Digital
Montag
28.03.
16:45 - 18:15
Digital
Dienstag
29.03.
13:15 - 14:45
Digital
Montag
04.04.
16:45 - 18:15
Digital
Dienstag
05.04.
13:15 - 14:45
Digital
Montag
25.04.
16:45 - 18:15
Digital
Dienstag
26.04.
13:15 - 14:45
Digital
Montag
02.05.
16:45 - 18:15
Digital
Dienstag
03.05.
13:15 - 14:45
Digital
Montag
09.05.
16:45 - 18:15
Digital
Dienstag
10.05.
13:15 - 14:45
Digital
Montag
16.05.
16:45 - 18:15
Digital
Dienstag
17.05.
13:15 - 14:45
Digital
Montag
23.05.
16:45 - 18:15
Digital
Dienstag
24.05.
13:15 - 14:45
Digital
Montag
30.05.
16:45 - 18:15
Digital
Dienstag
31.05.
13:15 - 14:45
Digital
Montag
13.06.
16:45 - 18:15
Digital
Dienstag
14.06.
13:15 - 14:45
Digital
Montag
20.06.
16:45 - 18:15
Digital
Dienstag
21.06.
13:15 - 14:45
Digital
Montag
27.06.
16:45 - 18:15
Digital
Dienstag
28.06.
13:15 - 14:45
Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
This course will be taught in English and in a digital format. The lectures will be given online via BigBlueButton, recorded, and made available on Moodle.The course aims to provide an understanding of parallelism as computing primitive and the complications that arise in distributed and parallel algorithms. We will study the theoretical foundations, as well as recent and exciting results.The lectures are complemented by exercises. In addition, each student will be required to conduct a theory-oriented project. In these projects, each group chooses a recent paper on one of the course topics, understands it carefully, writes a report explaining the paper, and presents ideas for an innovative follow-up.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Active participation is a requirement for passing the course. Participation in the project is mandatory and a prerequisite for admission to the oral exam. The overall grade is composed as follows:25% Exercises (individual work)
25% Project (group work)
50% Oral exam - project, classes and exercises (individual work)
25% Project (group work)
50% Oral exam - project, classes and exercises (individual work)
Mindestanforderungen und Beurteilungsmaßstab
>= 89 points, grade 1
>= 76 points, grade 2
>= 63 points, grade 3
>= 50 points, grade 4
< 50 points, grade 5
>= 76 points, grade 2
>= 63 points, grade 3
>= 50 points, grade 4
< 50 points, grade 5
Prüfungsstoff
All topics covered in class, the reading material, the exercises, and your project.
Literatur
- Lecture notes by Roger Wattenhofer (https://disco.ethz.ch/courses/podc_allstars/ ), and by Jukka Suomela (https://users.ics.aalto.fi/suomela/da/ ).- Ananth Grama, Anshul Gupta, George Karypis, Vipin Kumar: Introduction to Parallel Computing. Addison Wesley, 2003- Umut A. Acar, Guy E. Blelloch: Algorithms: Parallel and Sequential- Peter Sanders, Kurt Mehlhorn, Martin Dietzfelbinger, Roman Dementiev: Sequential and Parallel Algorithms and Data Structures - The Basic Toolbox. Springer, 2019.
Zuordnung im Vorlesungsverzeichnis
Module: DPA
Letzte Änderung: Do 11.05.2023 11:27