High-Performance Computing Center Stuttgart

Fortran for Scientific Computing

Photo of scientists participating in a training course in HLRS's Ruehle Saal

This course is dedicated to scientists and students to learn (sequential) programming of scientific applications with Fortran. The course teaches the newest Fortran standards, illustrated during hands-on sessions which will allow users to immediately test and understand the language constructs. The course is taught by Uwe Küster, one of the main experts in Germany on the Fortran Standard, who will share with the participants his vast repertoire of exercises and examples.

This workshop provides scientific training in Computational Science from beginners' to advanced level, and in addition, the scientific exchange of the participants among themselves and with the instructors.

 

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 24, 2025
08:30

End date

Mar 28, 2025
16:00

Language

English

Entry level

Basic

Course subject areas

Programming Languages for Scientific Computing

Topics

Fortran

Numerical Methods

Numerical Simulation

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Prerequisites and content levels

Prerequisites:
  • Familiarity with Linux and Linux editors is recommended.
  • Basics/principles of programming (in any language).
  • Basic mathematics (integration and differentiation)

 

Content levels:
  • Basic: 13 hours
  • Intermediate: 18 hours
  • Advanced: 2 hours

Learn more about course curricula and content levels.

Instructors

Uwe Küster (former HLRS staff member and one of the main experts in Germany on the Fortran Standard), Lorenzo Zanon and Ralf Schneider (HLRS).

Agenda

Topics of this course include:

  • Fortran syntax overview
    • Basics
    • Program units, modules, procedures
    • Dynamic data
    • Input and Output
  • Object orientation
  • Compilers for Fortran and their usage
  • Performance optimization of serial code
  • Features of the most recent Fortran standards

Please find the preliminary program of the course here (May 2024 hybrid course). Notice that the content of day 5 has significantly changed since December 2024.
All times CET.

Handout

Registered participants will get a pdf of the slides and a link to the exercises.

Literature and Textbooks

Michael Metcalf, John Reid, Malcom Cohen, Reinhold Bader: Modern Fortran explained (ISBN: 978-0-19-887658-8).

Registration information

Register via the button at the top of this page.

Registration closes on Sunday, March 9, 2025 (extended registration phase).

The course will start soon, but registrations are still possible according to the course capacity.

Fees

  • 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).

Hybrid course

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.
 

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.

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.

Registration information

Register via the button at the top of this page.
We encourage you to register to the waiting list if the course is full. Places might become available.

Contact

Lucienne Dettki phone 0711 685 63894, training(at)hlrs.de
Lorenzo Zanon phone 0711 685 63824
 

 

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. EuroCC@GCS 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 coordinates HammerHAI. 

This course is provided within the framework of the bwHPC training program.

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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