052112 VU Numerical High Performance Algorithms (2021W)
Continuous assessment of course work
Labels
MIXED
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 13.09.2021 09:00 to Mo 20.09.2021 09:00
- Deregistration possible until Th 14.10.2021 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
05.10.
13:15 - 14:45
Digital
Thursday
07.10.
13:15 - 14:45
Digital
Tuesday
12.10.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
14.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Tuesday
19.10.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
21.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Thursday
28.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Thursday
04.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Tuesday
09.11.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
11.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Tuesday
16.11.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
18.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Tuesday
23.11.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
25.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Tuesday
30.11.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
02.12.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Tuesday
07.12.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
09.12.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Tuesday
14.12.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
16.12.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Tuesday
11.01.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
13.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Tuesday
18.01.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
20.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Tuesday
25.01.
13:15 - 14:45
Seminarraum 6, Währinger Straße 29 1.OG
Thursday
27.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Information
Aims, contents and method of the course
Know and understand selected advanced numerical high performance algorithms (including divide-and-conquer eigensolver, GMRES, least squares solver, QR algorithm, communication-avoiding linear solver, etc.) for large and very large computational problems. Understand the interdependencies between problem data, algorithm, implementation of the algorithm, hardware, performance and accuracy. Understand basic techniques for analysis, implementation and optimization of numerical high performance algorithms. Implement and evaluate your own implementations.PLEASE NOTE: Due to the current COVID situation, the course will start online. In the first week, it will be decided which parts of the course can be offered in presence.
Assessment and permitted materials
Two homework exercises (with theoretical and practical components - implementation, experimentation, analysis), presentation of assigned papers from the literature, and an individual semester project (involving literature research, implementation, experimentation, analysis), whose results have to be presented in class and documented in written form (project report, presentation slides) during the semester.
Minimum requirements and assessment criteria
The maximum possible score is 100 points (20 for the homework exercises, 30 for the paper presentations, 25 for the presentation of the semester project, 25 for the report of the semester project). At least 50 points are required for passing the course. For passing the course, in each component (homeworks, paper presentations, semester project) at least half of the available points have to be achieved.
Examination topics
There is no separate exam. Grading takes into account the components mentioned above (homeworks, paper presentations, semester project) as well as the participation in class.
Reading list
Slides presented in class, literature references given on the slides.Demmel: Applied Numerical Linear Algebra
Golub & van Loan: Matrix Computations
Trefethen and Bau, III: Numerical Linear Algebra
Golub & van Loan: Matrix Computations
Trefethen and Bau, III: Numerical Linear Algebra
Association in the course directory
Module: HPA APS
Last modified: Fr 12.05.2023 00:13