Universität Wien

052112 VU Numerical High Performance Algorithms (2018W)

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 02.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 04.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 09.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 11.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 16.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 18.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 23.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 25.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 30.10. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Tuesday 06.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 08.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 13.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 15.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 20.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 22.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 27.11. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 29.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 04.12. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 06.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 11.12. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 13.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 08.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 10.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 15.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 17.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 22.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 24.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Tuesday 29.01. 13:15 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
  • Thursday 31.01. 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

A few homework exercises (with theoretical and practical components - implementation, experimentation, analysis) 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, 35 for the project presentation, 35 for the project report). At least half of this (50 points) is 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 15:30