Difference between revisions of "Parallel Numerics - Winter 13"

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| term = Winter 13
 
| term = Winter 13
 
| lecturer = [[Univ.-Prof. Dr. Thomas Huckle]]
 
| lecturer = [[Univ.-Prof. Dr. Thomas Huckle]]
| timeplace = Tuesday, 09:00-10:45, Room 02.07.023
+
| timeplace = Tuesday, 09:15-10:45, Room 02.07.023
 
| credits = SWS (2V + 2Ü) / 5 Credits
 
| credits = SWS (2V + 2Ü) / 5 Credits
 
| audience = CSE (compulsory course, 3rd semester), Mathematics (Master), Informatics (Master) (Modul [https://campus.tum.de/tumonline/wbStpModHB.detailPage?pKnotenNr=456366&pExtView=N&pCaller=MODHBAPP&pCallerOrgNr=15430 IN2012])
 
| audience = CSE (compulsory course, 3rd semester), Mathematics (Master), Informatics (Master) (Modul [https://campus.tum.de/tumonline/wbStpModHB.detailPage?pKnotenNr=456366&pExtView=N&pCaller=MODHBAPP&pCallerOrgNr=15430 IN2012])

Revision as of 13:01, 22 October 2013

Term
Winter 13
Lecturer
Univ.-Prof. Dr. Thomas Huckle
Time and Place
Tuesday, 09:15-10:45, Room 02.07.023
Audience
CSE (compulsory course, 3rd semester), Mathematics (Master), Informatics (Master) (Modul IN2012)
Tutorials
Friday, 10:15-11:45, Room 02.07.023, Organization: Michael Lieb
Exam
to be defined
Semesterwochenstunden / ECTS Credits
SWS (2V + 2Ü) / 5 Credits
TUMonline
[reference]



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

19.09.2013 First lecture will be on 22.10.2013, first tutorial will be on 25.10.2013.

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

Exam

Allowed Material for the exam

Regulations

Old Exams