Parallel Numerics - Winter 10: Difference between revisions

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(Created page with '{{Lecture | term = Winter 10 | 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 …')
 
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| 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])
| exam = To be announced
| exam = To be announced
| tutorials = [[Martin Buchholz]]
| tutorials = [[Matous Sedlacek]]
}}
}}


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=== Old Exams ===
=== Old Exams ===


* [[http://www5.in.tum.de/lehre/vorlesungen/parnum/WS09/exam.pdf Winter 09]]
* [[http://www5.in.tum.de/lehre/vorlesungen/parnum/WS08/exam.ps Winter 08]], [[http://www5.in.tum.de/lehre/vorlesungen/parnum/WS09/klausur_09_loes.pdf partial solution]]
* [[http://www5.in.tum.de/lehre/vorlesungen/parnum/WS08/exam.ps Winter 08]], [[http://www5.in.tum.de/lehre/vorlesungen/parnum/WS09/klausur_09_loes.pdf partial solution]]
* [[http://www5.in.tum.de/lehre/vorlesungen/parnum/WS07/klausur0708.ps Winter 07]]
* [[http://www5.in.tum.de/lehre/vorlesungen/parnum/WS07/klausur0708.ps Winter 07]]

Revision as of 15:18, 13 September 2010

Term
Winter 10
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)
Audience
CSE (compulsory course, 3rd semester), Mathematics (Master), Informatics (Master) (Modul IN2012)
Tutorials
Matous Sedlacek
Exam
To be announced
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

Allowed Material for the exam

  • 1 two-sided hand-written sheet of paper
  • "Message Passing Interface Quick Reference in C" [MPI Quick Reference]

Regulations

Old Exams