Parallel Numerics - Winter 14: Difference between revisions

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{{Lecture
{{Lecture
| term = Winter 14
| term = Winter 2014
| lecturer = [[Univ.-Prof. Dr. Thomas Huckle]]
| lecturer = [[Univ.-Prof. Dr. Thomas Huckle]]
| timeplace = tba
| timeplace = '''tba''' <!-- Vorlesung: Dienstag (Erster Vorlesungstermin: 08.04.2014), 12:00 - 13:30, [https://portal.mytum.de/campus/roomfinder/roomfinder_viewmap?mapid=142&roomid=02.07.023%405607 MI 02.07.023]
| credits = SWS (2V + 2Ü) / 5 Credits
:Übung: Mittwoch (Erster Übungstermin: 16.04.2013), 13:15 - 14:45, 14-tägig, [https://portal.mytum.de/campus/roomfinder/roomfinder_viewmap?mapid=142&roomid=02.07.023%405607 MI 02.07.023] -->
| 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 = [https://campus.tum.de/tumonline/wbStpModHB.detailPage?pKnotenNr=456366 IN2012]
| exam =  
: Master CSE
| tutorials =  
: Master Mathematics
| tumonline = [[https://campus.tum.de/tumonline/lv.detail?clvnr=950114291 reference]]
: Master Informatics
| exam = '''tba'''
| tutorials =[[Christoph Riesinger]]
| credits = 4 SWS (2V + 2Ü) / 5 credits
| tumonline = '''tba'''<!-- https://campus.tum.de/tumonline/lv.detail?clvnr=950138278 -->
}}
}}
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 ==
== News ==

Revision as of 12:43, 17 June 2014


Term
Winter 2014
Lecturer
Univ.-Prof. Dr. Thomas Huckle
Time and Place
tba
Audience
IN2012
Master CSE
Master Mathematics
Master Informatics
Tutorials
Christoph Riesinger
Exam
tba
Semesterwochenstunden / ECTS Credits
4 SWS (2V + 2Ü) / 5 credits
TUMonline
tba



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 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


Repetition 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