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Faculty of Mathematics, Physics & Computer Science

Scientific Computing, Master of Science (M.Sc.)

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Practical Course on Parallel Numerical Methods

The Practical Course on Parallel Numerical Methods is held every year at the end of the winter term by the Chair of Parallel and Distributed Systems in cooperation with the Chair of Scientific Computing.

Supervisor: Thomas Rau (Scientific Computing)

Next course: tba (usually at the end of the winter semester 2022/2023)

Location: tba

Organization

The focus of the course this year is programming with MPI. The schedule is as follows:

TimeDay 1Day 2Day 3Day 4Day 5
8:30 - 12:00

Lecture: Sparse Numerics and Software Tools

Lecture:  Programming and C++

Coding Practice

ILecture: Basics of Distributed and Parallel Programming

Coding Practice

Lecture: MPI

Coding Practice

Coding Practice
12:00 - 13:30LunchLunchLunchLunchLunch
13:30 - 17:30

Lecture: Programming and C++

Coding Practice

Coding PracticeCoding PracticeCoding PracticeCoding Practice

     

Time Day 6Day 7Day 8Day 9Day 10
10:00 - 12:00Lecture: Cluster and SlurmCoding PracticeCoding PracticeCoding Practice

Coding Practice

Presentation Preparation

12:00 - 13:30LunchLunchLunchLunchLunch
13:30 - 17:30Coding PracticeCoding PracticeCoding PracticeCoding Practice

Coding Practice

Presentation Preparation

   

The time for the final presentations is April 11th from 9:00 am to 11:00 am.

Content

In this practical course, students implement manageable numerical problems (such as PCG method, finite element discretization of 2d Laplacian, etc.) on parallel computers using the programming language C/C++ and standard software libraries (LAPACK/BLAS, OpenMP, OpenMPI). The resulting parallel efficiency is observed depending on the chosen implementation (naive or advanced such as Schwarz methods).

Recommended Prerequisities

  • A1: Numerical Methods for Differential Equations
  • C1.3: Parallel and Distributed Systems I
  • D1.1: Efficient Treatment of Non-local Operators

Grading

Implementation and presentation of approaches; active participation and discussion

Courses

1. Course on Parallel Numerical Methods (Summer 2020): 27.07.20 - 07.08.20 online                                                            2. Course on Parallel Numerical Methods (Spring 2021):  17.03.21 - 31.03.21 online


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