Efficient Parallel Programming with GASPI

This course will be provided ONLINE (using Webex).

In this tutorial, we present an asynchronous data flow programming model for Partitioned Global Address Spaces (PGAS) as an alternative to the programming model of MPI.

GASPI, which stands for Global Address Space Programming Interface, is a partitioned global address space API (PGAS). The GASPI API is designed as a C/C++/Fortran library and is focused on three key objectives: scalability, flexibility and fault tolerance. In order to achieve its much improved scaling behaviour, GASPI aims at asynchronous dataflow with remote completion rather than bulk-synchronous message exchanges. GASPI follows a single/multiple program multiple data (SPMD/MPMD) approach and offers a small, yet powerful API (see also http://www.gpi-site.com).

GASPI is successfully used in academic and industrial simulation applications.

Hands-on sessions (in C) will allow users to immediately test and understand the basic constructs of GASPI.

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

Location

Online course
Organizer: HLRS, University of Stuttgart, Germany

Start date

Jun 01, 2026
08:45

End date

Jun 02, 2026
15:30

Language

English

Entry level

Advanced

Course subject areas

Parallel Programming

Performance Optimization & Debugging

Topics

C/C++

Code Optimization

MPI

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Prerequisites and content levels

Prerequisites:

Familiarity with Linux and Linux editors is recommended.
Basics/principles of programming in C

Content levels:

Intermediate: 6 hours
Advanced: 7 hours

Learn more about course curricula and content levels.

Instructors

Dr. Daniel Gruenewald (Fraunhofer ITWM and NHR-SW) and Dr. Dirk Merten (Fraunhofer ITWM)

Agenda

CEST times:

Monday, June 1:
08:45-09:00 Login into Webex
09:00-13:00 Lectures and exercises
14:00-17:30 Lectures and exercises

Tuesday, June 2:
09:00-13:00 Lectures and exercises
14:00-15:30 Lectures and exercises

Registration information

Apply for this course via the button at the top of this page (will be available soon).

Registration closes on Sunday, May 3, 2026.

Fees

0 €: Students without master’s degree or equivalent at a German university
25 €: Students without master’s degree or equivalent at a university in an EU, EU-associated or PRACE country other than Germany
25 €: Students without master's degree or equivalent at a university outside of EU, EU-associated or PRACE countries
0 €: PhD students or employees at a German university or public research institute
90 €: PhD students or employees at a university or public research institute in an EU, EU-associated or PRACE country other than Germany
180 €: PhD students or employees at a university or public research institute outside of EU, EU-associated or PRACE countries
420 €: 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

Lorenzo Zanon, phone 0711 685 63824, training@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.

Further courses and training team

Hybrid, Stuttgart

German

Modern C++ Software Design (Intermediate)

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