Parallel Numerics - Winter 16: Difference between revisions
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| term = Winter 2016 | | term = Winter 2016 | ||
| lecturer = [[Univ.-Prof. Dr. Thomas Huckle]] | | lecturer = [[Univ.-Prof. Dr. Thomas Huckle]] | ||
| timeplace = Lecture: Tuesday (first lecture: 18.10.2016), 12: | | timeplace = Lecture: Tuesday (first lecture: 18.10.2016), 12:15 - 13:45, [https://portal.mytum.de/campus/roomfinder/roomfinder_viewmap?mapid=142&roomid=00.13.009A%405613 MI 00.13.009A] | ||
: Tutorial: Friday (first tutorial: 28.10.2016), 10:15 - 11:45, [https://portal.mytum.de/campus/roomfinder/roomfinder_viewmap?mapid=142&roomid=00.13.009A%405613 MI 00.13.009A], see [[#Tutorials | Tutorials]] | : Tutorial: Friday (first tutorial: 28.10.2016), 10:15 - 11:45, [https://portal.mytum.de/campus/roomfinder/roomfinder_viewmap?mapid=142&roomid=00.13.009A%405613 MI 00.13.009A], see [[#Tutorials | Tutorials]] | ||
| audience = [https://campus.tum.de/tumonline/WBMODHB.wbShowMHBReadOnly?pKnotenNr=456366 IN2012] | | audience = [https://campus.tum.de/tumonline/WBMODHB.wbShowMHBReadOnly?pKnotenNr=456366 IN2012] | ||
Revision as of 12:29, 19 October 2016
- Term
- Winter 2016
- Lecturer
- Univ.-Prof. Dr. Thomas Huckle
- Time and Place
- Lecture: Tuesday (first lecture: 18.10.2016), 12:15 - 13:45, MI 00.13.009A
- Tutorial: Friday (first tutorial: 28.10.2016), 10:15 - 11:45, MI 00.13.009A, see Tutorials
- Audience
- IN2012
- Master CSE
- Master Mathematics
- Master Informatics
- Master Mathematics in Data Science
- Master Data Engineering and Analytics
- Tutorials
- Benjamin Uekermann
- Exam
- Semesterwochenstunden / ECTS Credits
- 4 SWS (2V + 2Ü) / 5 credits
- TUMonline
News
| 23.09.2016 | First lecture takes place on 18.10.2016, first tutorial on 28.10.2016. There will be no tutorial on 23.12.2016 . |
|---|
Lecture slides
| Number | Date | Slides |
| 1 | 18.10.2016 | lecture_1.pdf |
Tutorials
| Number | Date | Topic | Worksheet | Proposal for solution | Code |
| 1 | 28.10.2016 | Flynn's Taxonomy & MPI Basics |
Literature & external links
- Eijkhout, Chow, van de Geijn: Introduction to High Performance Scientific Computing
- Dongarra, Duff, Sorensen, van der Vorst: Numerical Linear Algebra for High-Performance Computers
- Gallivan, Heath, Ng, Ortega: Parallel Algorithms for Matrix Computations
- Pacheco: A User's Guide to MPI
- Saad: Iterative Methods for Sparse Linear Systems
- Frommer: Lösung linearer Gleichungssysteme auf Parallelrechnern
- An Introduction To Quantum Computing for Non-Physicists