Revision as of 13:11, 19 December 2017

Term: Winter 2017
Lecturer: Univ.-Prof. Dr. Thomas Huckle
Time and Place: Lecture: Tuesday (first lecture: 17.10.2017), 12:15 - 13:45, MI 00.13.009A; Tutorial: Friday (first tutorial: 27.10.2017), 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: Lecture and tutorials Parallel Numerics

News

24.10.2017	There will be no lecture on 31.10.2017 and no tutorial on 03.11.2017.
24.10.2017	There will be no tutorial on 22.12.2017.

Number	Date	Topic	Worksheet	Proposal for solution	Code
1	27.10.2017	Flynn's Taxonomy & MPI Basics	description01.pdf	solution01.pdf	sheet01_task03.cpp sheet01_task04.cpp
2	10.11.2017	Numerical Integration & P2P Communication I	description02.pdf	solution02.pdf	sheet02_task01.cpp MPI's Send Modes
3	17.11.2017	Vector-Vector Operations & P2P Communication II	description03.pdf	solution03.pdf	sheet03_task05.cpp
4	24.11.2017	Matrix-Matrix-Operations & P2P Communication III	description04.pdf	solution04.pdf	sheet04_task05.cpp slides04.pdf
5	01.12.2017	Parallel LU Decomposition & Collective Operations	description05.pdf	solution05.pdf	sheet05_task03.cpp
6	08.12.2017	Tridiagonal Matrices, Hockney/Golub method	description06.pdf	solution06.pdf	sheet06_task01_serial.cpp sheet06_task01_parallel.cpp sheet06_task03.cpp tridiag_whiteboard.jpg slides6.pdf hockney_golub_notes.pdf
7	15.12.2017	Sparse Matrix-Vector Multiplication & Red-Black Couloring	description07.pdf	solution07.pdf	sheet07_task03.cpp slides7.pdf

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

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