Revision as of 13:45, 9 October 2014

Term: Winter 2014
Lecturer: Univ.-Prof. Dr. Thomas Huckle
Time and Place: Lecture: Tuesday (first lecture: 07.10.2014), 09:15 - 10:45, MI 02.07.023; Tutorial: Friday (first tutorial: 17.10.2014), 10:15 - 11:45, MI 02.07.023, see Tutorials
Audience: IN2012; Master CSE; Master Mathematics; Master Informatics
Tutorials: Christoph Riesinger, Sebastian Rettenberger
Exam: tba
Semesterwochenstunden / ECTS Credits: 4 SWS (2V + 2Ü) / 5 credits
TUMonline: Lecture and tutorials Parallel Numerics

News

28.08.2014	There are NO lectures and tutorials in the weeks from 22.12.2014 to 09.01.2015.
28.08.2014	Tutorials take place on Friday from 10:15 und 11:45 Uhr in room MI 02.07.023. First tutorial takes place on 17.10.2014.
28.08.2014	Lectures take place on Tuesday from 09:15 und 10:45 Uhr in room MI 02.07.023. First lecture takes place on 07.10.2014.

Number	Date	Topic	Worksheet
1	07.10.2014	High-Performance Computing 1	vorl1.pdf
2	14.10.2014	High-Performance Computing 2	-
-	-	Performance: Analysis, Modeling, and Measurements	-
-	-	Basic Linear Algebra Subprograms	-
-	-	Direct Solution of Sparse Linear Systems	-
-	-	Iterative Methods for Linear Systems	-
-	-	Linear Eigenvalue Problems	-
-	-	Programming in MPI	-

Number	Date	Topic	Material	Proposal for solution/code	Additional material
1	17.10.2014	Flynn's Taxonomy & MPI Basics	description01.pdf	-	-
2	-	Numerical Integration & P2P Communication I	-	-	-
3	-	Vector-Vector Operations & P2P Communication II	-	-	-
4	-	Matrix-Matrix-Operations & P2P Communication III	-	-	-
5	-	Parallel Gaussian elimination & Collective Operations	-	-	-
6	-	Tridiagonal Matrices, Hockney/Golub method & Message Tags	-	-	-
7	-	Sparse Matrix-Vector Multiplication & MPI Communicators	-	-	-
8	-	Stationary Methods	-	-	-
9	-	Gradient Methods, Preconditioning & Eigenvalues	-	-	-
10	-	Domain Decomposition	-	-	-

tba

tba

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

@@ Line 32: / Line 32: @@
 |  '''Number''' || '''Date''' || '''Topic''' || '''Worksheet'''
 |-
-| 1 || 07.10.2014 || High-Performance Computing || [http://www5.in.tum.de/lehre/vorlesungen/parnum/WS14/vorl1.pdf vorl1.pdf]
+| 1 || 07.10.2014 || High-Performance Computing 1 || [http://www5.in.tum.de/lehre/vorlesungen/parnum/WS14/vorl1.pdf vorl1.pdf]
 |-
-| 2 || - || Performance: Analysis, Modeling, and Measurements || -
+| 2 || 14.10.2014 || High-Performance Computing 2 || -
 |-
-| 3 || - || Basic Linear Algebra Subprograms || -
+| - || - || Performance: Analysis, Modeling, and Measurements || -
 |-
-| 4 || - || Direct Solution of Sparse Linear Systems || -
+| - || - || Basic Linear Algebra Subprograms || -
 |-
-| 5 || - || Iterative Methods for Linear Systems || -
+| - || - || Direct Solution of Sparse Linear Systems || -
 |-
-| 6 || - || Linear Eigenvalue Problems || -
+| - || - || Iterative Methods for Linear Systems || -
 |-
-| 7 || - || Programming in MPI || -
+| - || - || Linear Eigenvalue Problems || -
+|-
+| - || - || Programming in MPI || -
 |-
 |}