Parallel Numerics - Winter 09: Difference between revisions

From Sccswiki
Jump to navigation Jump to search
No edit summary
No edit summary
Line 2: Line 2:
| term = Winter 09
| term = Winter 09
| lecturer = [[Univ.-Prof. Dr. Thomas Huckle]]
| lecturer = [[Univ.-Prof. Dr. Thomas Huckle]]
| timeplace = Lecture: Monday 10:15 - 11:45 Uhr (MI 02.07.023), Tutorial Friday 10:15 - 11:45 Uhr (MI 02.07.023) '''The first lecture takes place on oct. 23rd (friday), the lecture on nov. 2nd does not take place'''
| timeplace = Lecture: Monday 10:15 - 11:45 Uhr (MI 02.07.023), Tutorial Friday 10:15 - 11:45 Uhr (MI 02.07.023) '''For the first lectures we will meet on oct. 23rd (friday), 26th (monday), and 30th (friday). The lecture on nov. 2nd does not take place'''
| credits = SWS (2V + 2Ü) / 5 Credits
| credits = SWS (2V + 2Ü) / 5 Credits
| audience = CSE (compulsory course, 3rd semester), Mathematics (Master), Informatics (Master) (Modul [https://www.in.tum.de/myintum/kurs_verwaltung/cm.html?id=IN2012 IN2012])
| audience = CSE (compulsory course, 3rd semester), Mathematics (Master), Informatics (Master) (Modul [https://www.in.tum.de/myintum/kurs_verwaltung/cm.html?id=IN2012 IN2012])

Revision as of 13:56, 8 October 2009

Term
Winter 09
Lecturer
Univ.-Prof. Dr. Thomas Huckle
Time and Place
Lecture: Monday 10:15 - 11:45 Uhr (MI 02.07.023), Tutorial Friday 10:15 - 11:45 Uhr (MI 02.07.023) For the first lectures we will meet on oct. 23rd (friday), 26th (monday), and 30th (friday). The lecture on nov. 2nd does not take place
Audience
CSE (compulsory course, 3rd semester), Mathematics (Master), Informatics (Master) (Modul IN2012)
Tutorials
Martin Buchholz
Exam
tba
Semesterwochenstunden / ECTS Credits
SWS (2V + 2Ü) / 5 Credits
TUMonline
{{{tumonline}}}



IN2012

This course will be given in every winter term. The lectures and tutorials are conducted in English, and the course substitutes the German lecture "Numerik auf Parallelrechnern".

News

Contents

  1. High-Performance Computing
  2. Performance: Analysis, Modeling, and Measurements
  3. Basic Linear Algebra Subprograms
  4. Direct Solution of Sparse Linear Systems
  5. Iterative Methods for Linear Systems
  6. Linear Eigenvalue Problems
  7. Programming in MPI

Course Material

Lecture Notes

Slides

Tutorials

Literature & External Links

  1. Numerical Linear Algebra for High-Performance Computers (Dongarra, Duff, Sorensen, van der Vorst)
  2. Parallel Algorithms for Matrix Computations (Gallivan, Heath, Ng, Ortega,...)
  3. A User's Guide to MPI (Pacheco)
  4. Iterative Methods for Sparse Linear Systems (Saad)
  5. Loesung linearer Gleichungssysteme auf Parallelrechnern (Frommer)
  1. [An Introduction To Quantum Computing for Non-Physicists]

Exam

Regulations

Old Exams

This Year's Exam