Universität Wien

052112 VU Numerical High Performance Algorithms (2019W)

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 01.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 03.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 08.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 10.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 15.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 17.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 22.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 24.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 29.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 31.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 05.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 07.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 12.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 14.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 19.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 21.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 26.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 28.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 03.12. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 05.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 10.12. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 12.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 17.12. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Tuesday 07.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 09.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 14.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 16.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 21.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 23.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 28.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 30.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG

Information

Aims, contents and method of the course

Know and understand selected numerical high performance algorithms for large and very large 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.

Assessment and permitted materials

Two homework exercises (with theoretical and practical components - implementation, experimentation, analysis), presentation of an assigned paper 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 (30 for the homework exercises, 20 for the paper presentation, 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.

Examination topics

Material presented and discussed in class.

Reading list

Slides presented in class, literature references given on the slides.

M. Heath: Scientific Computing: An Introductory Survey
L. N. Trefethen and D, Bau, III: Numerical Linear Algebra
Golub & van Loan: Matrix Computations

Association in the course directory

Module: HPA APS

Last modified: Mo 07.09.2020 15:20