Warning! The directory is not yet complete and will be amended until the beginning of the term.

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).

Registration is open from Sa 07.09.2019 09:00 to Mo 23.09.2019 09:00
Deregistration possible until Mo 14.10.2019 23:59

Details

max. 25 participants

Language: English

Lecturers

Wilfried Gansterer

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