Universität Wien

052112 VU Numerical High Performance Algorithms (2022W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
Moodle

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).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 04.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 06.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 11.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 13.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 18.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 20.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 25.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 27.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 03.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 08.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 10.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 15.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 17.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 22.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 24.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 29.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 01.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 06.12. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Tuesday 13.12. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 15.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 10.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 12.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 17.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 19.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 24.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 26.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 31.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

Know and understand selected advanced numerical high performance algorithms (for example, 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 algorithm, problem data, 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: Based on the COVID-regulations of the University of Vienna, it is currently planned to hold the course on-site (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 will be presented in class and documented in written form (project report, presentation slides).

Minimum requirements and assessment criteria

The maximum possible score is 100 points (20 for the homework exercises, 30 for the paper presentations, 50 fo the semester project (25 for the presentation, 25 for the report). At least 50 points are required for passing the course. For passing the course, at least half of the available points for the semester project have to be achieved.

Attendance of classes is required.

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

Association in the course directory

Module: HPA APS

Last modified: We 14.12.2022 13:08