Parallel Programming Workshop (MPI, OpenMP and Advanced Topics)

Distributed memory parallelization with the Message Passing Interface MPI (Mon, for beginners):
On clusters and distributed memory architectures, parallel programming with the Message Passing Interface (MPI) is the dominating programming model. The course gives an introduction to basic features available since MPI-1. Hands-on sessions (in C, Fortran, and Python) will allow users to immediately test and understand the basic constructs of the Message Passing Interface (MPI).

Shared memory parallelization with OpenMP (Tue, for beginners):
The focus is on shared memory parallelization with OpenMP, the key concept on hyper-threading, dual-core, multi-core, shared memory, and ccNUMA platforms. This course teaches shared memory OpenMP parallelization. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the directives and other interfaces of OpenMP. Race-condition debugging tools are also presented.

Intermediate and advanced topics in parallel programming (Wed-Fri):
Topics are advanced usage of communicators and virtual topologies, one-sided communication, derived datatypes, MPI-2 parallel file I/O. MPI-3.0 introduced a new shared memory programming interface, which can be combined with MPI message passing and remote memory access on the cluster interconnect. It can be used for direct neighbor accesses similar to OpenMP or for direct halo copies, and enables new hybrid programming models. Several aspects of hybrid mixed model MPI+OpenMP parallelization are discussed in the MPI-4.1 and OpenMP-4.5(5.0) advanced topics.

Location

HLRS, University of Stuttgart
Nobelstraße 19
70569 Stuttgart, Germany
Room 0.439 / Rühle Saal
Location and nearby accommodations

Registration

Location

HLRS, University of Stuttgart
Nobelstraße 19
70569 Stuttgart, Germany
Room 0.439 / Rühle Saal
Location and nearby accommodations

Start date

Oct 19, 2026
08:30

End date

Oct 23, 2026
17:00

Language

English

Entry level

Basic

Course subject areas

Parallel Programming

Topics

MPI

OpenMP

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Prerequisites and content levels

Prerequisites

Unix / C or Fortran (or Python for the MPI part)

Content levels

Basic: 14 hours
Intermediate: 12 hours
Advanced: 10:30 hours
Community: 0:45 hours

Learn more about course curricula and content levels.

Instructors

Dr.-Ing. Christoph Niethammer
Tobias Haas

Learning outcomes

Please refer to the course overview.

This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.

Skills earned

The skill tree provided by the HPC Certification Forum provides

Expand list of skills

Agenda

All times are local times in the Central European Summer Time zone (Berlin).

See link to detailed program (preliminary program)

Handouts

Each participant will get all slides as pdf and all exercises as tar.gz and zip archive.

Most MPI exercises are (in addition to C and Fortran) also available for Python+mpi4py+numpy.

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.

Registration information

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

The extended registration period will close on October 3, 2025.
Late registrations will continue to be accepted up to and including the first day of the event.

Fees

Employees of the HLRS, or the Jülich Supercomputing Centre (JSC), or the Leibniz Supercomputing Centre (LRZ): 0 Euro
Students without master’s degree or equivalent: 50 Euro
PhD students or employees at a German university or public research institute: 110 Euro
PhD students or employees at a university or public research institute in an EU, EU-associated or PRACE country other than Germany: 215 Euro
PhD students or employees at a university or public research institute outside of EU, EU-associated or PRACE countries: 430 Euro
Other participants, e.g., from industry, other public service providers, or government: 1150 Euro

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

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

Contact

Lucas Jordan phone +49 711 685-87206, training(at)hlrs.de

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.