Universität Wien

052112 VU Numerical High Performance Algorithms (2017W)

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 03.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 05.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 10.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 12.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 17.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 19.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 24.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Tuesday 31.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Tuesday 07.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 09.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 14.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 16.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 21.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 23.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 28.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 30.11. 13:15 - 14:45 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Tuesday 05.12. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 07.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 12.12. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 14.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 09.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 11.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 16.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 18.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 23.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 25.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 30.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.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) and one individual semester project (involving literature research, implementation, experimentation, analysis), whose results have to be presented in class and documented in written form (presentation slides) until the end of the semester.

Minimum requirements and assessment criteria

The maximum possible score is 50 points (10 per homework exercise, 15 for the project presentation, 15 for the presentation slides). At least half of this (25 points) is required for passing the course. Bonus points will be awarded for outstanding participation in class (e.g., excellent presentation of own homework solutions in class).

Examination topics

Reading list

Slides presented in class.

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 15:30