Universität Wien FIND
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052112 VU Numerical High Performance Algorithms (2016W)

Continuous assessment of course work

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 numerical high performance algorithms for large and very large problems. The focus is on numerical linear algebra 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.

Assessment and permitted materials

Four homework exercises (with theoretical and practical components - implementation, experimentation, analysis) and one individual project in the second half of the semester (involving literature research, implementation, experimentation, analysis), whose results have to be presented in class and documented in written form (project report) until the end of the semester.

Minimum requirements and assessment criteria

The maximum possible score is 65 points (10 per homework exercise, 10 for the project presentation, 15 for the project report). At least half of this (32.5 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

Last modified: Fr 31.08.2018 08:48