Staff scientists at HLRS are involved in dozens of funded collaborative research projects, working closely with academic and industrial partners from across Europe to address key problems facing the future of high-performance computing. Many of these projects also involve applied research to address global challenges where HPC can provide new kinds of practical solutions. In addition, HLRS is leading multiple international projects focused on increasing HPC expertise across Europe.
FFplus supports European small and medium-sized enterprises (SMEs) and startups in testing new applications of high-performance computing and artificial intelligence.
The goal of Gaia-X4ICM is to implement a scaling production platform based on the Gaia-X ecosystem for the InnovationCampus Mobility of the Future (ICM) to make Gaia-X more usable for production of planning systems, industrial controls, and sensor data, among other applications.
HANAMI fosters collaboration between Europe and Japan to develop applications for future generations of supercomputers across diverse scientific fields, including environmental sciences, biomedicine, and materials science.
The HiDALGO2 project is addressing challenges caused by climate change, focusing on technical issues related to scalability on HPC and AI infrastructures, the use of computational fluid dynamics methods, and uncertainty analysis.
HPC SPECTRA will promote the development of HPC expertise across Europe by building a comprehensive online platform of training opportunities, making it easy for trainees to find courses that fit their interests and needs.
HLRS is the coordinating center for this project to integrate artificial intelligence (AI) topics into curricula at the University of Stuttgart, and to implement AI technologies to improve instruction.
Inno4scale will identify and provide funding to support the development of advanced algorithms and applications for upcoming European exascale systems.
This project is developing tools for meeting and collaborating from remote locations in three-dimensional virtual reality environments.
This project’s goal is to increase the accuracy and reduce the uncertainty of performance and load assessment tools and associated procedures that are commonly used in the industrial design and certification of modern wind energy systems.
As a participant in the German National Research Data Infrastructure initiative, this consortium is creating a national platform for data integration in catalysis and chemical engineering research.
