High-Performance Computing Center Stuttgart

Iterative Linear Solvers and Parallelization

The focus of this course is on iterative and parallel solvers, and the parallel programming models MPI and OpenMP. Thereby, different modern Krylov Subspace Methods (CG, GMRES, BiCGSTAB, ...) as well as highly efficient preconditioning techniques are presented in the context of real life applications.
Hands-on sessions (in C, Fortran and Python) will allow users to immediately test and understand the basic constructs of iterative solvers, the Message Passing Interface (MPI) and the shared memory directives of OpenMP (in C and Fortran).
This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. It is jointly organized by HLRS and the University of Kassel.

Location

This hybrid event will take place online and at
HLRS, University of Stuttgart
Nobelstraße 19
70569 Stuttgart, Germany
Room 0.439 / Rühle Saal
Location and nearby accommodations

Start date

Mar 23, 2026
08:30

End date

Mar 27, 2026
16:45

Language

English

Entry level

Basic

Course subject areas

Programming Languages for Scientific Computing

Simulation

Topics

MPI

Numerical Methods

Numerical Simulation

OpenMP

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Prerequisites and content levels

Prerequisites:
  • Monday+Tuesday: Unix / C or Fortran (MPI: or Python)
  • Wednesday-Friday: Basics of linear algebra / MATLAB or GNU Octave
Content levels:
  • Basic: 14 hours 15 minutes
  • Intermediate: 45 minutes
  • Community: 15 hours

Learn more about course curricula and content levels.

Agenda

Refer to this program.

Exercises

On-site participants will be provided with prepared laptops

You may bring your own device for taking notes.

Online participants are expected to use their own machines or institute clusters
  • For the iterative solvers part of the course, a recent version of MATLAB or GNU OCTAVE (available for free) should be installed.

  • For the MPI and OpenMP part of the course, Linux command shell commands and some basic programming knowledge in C or Fortran (or Python for the MPI part).

    To be able to do the hands-on exercises, you need a computer with an OpenMP capable C/C++ or Fortran compiler and a corresponding up-to-date MPI library (in case of Fortran, the mpi_f08 module is required). In addition, you can perform the MPI exercises in Python with mpi4py + numpy. In this case, an appropriate installation on your system is required (together with a C/C++ or Fortran installation for the OpenMP exercises).

    To check if your MPI and OpenMP installation is valid, please either

    • download TEST.tar.gz from this link and run tar -xvzf TEST.tar.gz or
    • download TEST.zip from this link and run unzip TEST.zip.

    After that follow the instructions in TEST/README.txt within the archive.

Please make sure to have a functioning working environment / access to an HPC cluster prior to the start of the course.

Handout

Each participant will get a pdf of the slides.

HLRS concept for on-site courses

Besides the content of the training itself, an important aspect of this event is the scientific exchange among the participants. We try to facilitate such communication by

  • a social event on the evening of the first course day,
  • offering common coffee and lunch breaks and
  • working together in groups of two during the exercises. Laptops wil be provided.

This course will be hybrid, i.e. it will take place at HLRS on-site but it will also be possible to attend online. Participants, online as well as on-site, have to be aware and agree that they might appear in the live video stream taken by a camera in the back of the lecture room or by a webcam on laptops. The live stream will not be saved. We strongly recommend to attend this course on-site since on-site attendance is much more effective and efficient in our experience. Therefore we might give priority to on-site over online participants during registration.

Registration information

Apply for this course via the button at the top of this page.

Fees

  • 0 Euro: Employees of the HLRS, or the Jülich Supercomputing Centre (JSC), or the Leibniz Supercomputing Centre (LRZ)
  • 40 Euro: Students without master’s degree or equivalent
  • 90 Euro: PhD students or employees at a German university or public research institute
  • 180 Euro: PhD students or employees at a university or public research institute in an EU, EU-associated or PRACE country other than Germany
  • 360 Euro: PhD students or employees at a university or public research institute outside of EU, EU-associated or PRACE countries
  • 960 Euro: Other participants, e.g., from industry, other public service providers, or government

Link to the EU and EU-associated (Horizon Europe), and PRACE countries.

Our course fees include coffee breaks (in classroom courses only).

Contact

Lucienne Dettki, phone 0711 685 63894, training(at)hlrs.de

Lunch breaks

We plan to have lunch in the unversity's canteen (Mensa Stuttgart-Vaihingen, have a look at their menu online, paying by card only). Two other near possibilities for lunch are on all days:

  • A food truck from 11:00-14:00 in Allmandring 35, approximately 300 m from HLRS,
  • Bakery Sehne, near bus stop "Im Lauchhau", approximately 400 m from HLRS.

We will update this information if opening times etc. change and inform you more precisely before the course starts.

HLRS Training Collaborations in HPC and AI

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. SIDE is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC. 
Since 2025, HLRS has been coordinating one of the AI Factories of the EuroHPC JU: HammerHAI. 

Further courses and training team

See the training overview and the Supercomputing Academy pages.
See also information about the HLRS training department and staff.

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High-Performance Computing Center Stuttgart Nobelstraße 19, 70569 Stuttgart, Germany

Contact & Location

+49 711 685-87269 info(at)hlrs.de

A member of the Gauss Centre for Supercomputing, HLRS is one of three German national centers for high-performance computing.

www.gauss-centre.eu

HLRS is a central unit of the University of Stuttgart.

www.uni-stuttgart.de/en/

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