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.
The 3xa project will develop scalable methods for the simulation of three-body interactions in particle systems, applying vectorized kernels, dynamic load balancing approaches and adaptive resolution schemata.
The AI Alliance Baden-Württemberg aims to develop a data platform for AI-relevant data exchange among academic and industrial stakeholders.
This project coordinates support for HPC users in Baden-Württemberg and the implementation of related measures and activities, including data intensive computing and large-scale scientific data management.
CASTIEL 2 facilitates collaboration among the EuroCC 2 National Competence Centers and the EuroHPC Joint Undertaking Centers of Excellence, promoting the development of HPC expertise and the adoption of leading codes across Europe.
The Center of Excellence in Exascale CFD will improve European state-of-the-art computational fluid dynamics algorithms to prepare them for efficient performance on exascale supercomputers.
Focusing on critical applications for the prediction of geohazards, the Centre of Excellence for Exascale in Solid Earth aims to become a hub for HPC software within the solid earth community.
DECICE is developing an open and portable cloud management framework that will enable the automatic and adaptive optimization of software applications for heterogeneous computing architectures.
EE-HPC is testing an approach for improving energy efficiency in HPC systems by automatically regulating system parameters and settings based on current job requirements.
Supported by the EuroHPC Joint Undertaking, EuroCC 2 manages a European network of National Competence Centers (NCC) for high-performance computing and related technologies, promoting a common level of expertise across the participating countries.
Supported by the EuroHPC Joint Undertaking, EuroCC4SEE manages a European network of National Competence Centers (NCC) for high-performance computing and related technologies, promoting a common level of expertise across the participating countries.
The EuroHPC Virtual Training Academy is developing a standardised European training framework in HPC.
EXCELLERAT P2 is developing advanced applications for engineering in the manufacturing, energy, aeronautics, and automotive sectors, focusing on use cases that demonstrate the importance of HPC, HPDA, and AI for European competitiveness.
FFplus supports European small and medium-sized enterprises (SMEs) and startups in testing new applications of high-performance computing and artificial intelligence.
HammerHAI is building a state-of-the-art “AI Factory” that will provide European businesses and researchers with secure, scalable, and easily accessible AI resources and support.
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.
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.
The Performance Optimisation and Productivity Centre of Excellence in HPC provides performance optimisation and productivity services for academic and industrial codes in all domains to help in their transition to larger scales and to monitor their progress.
Science, Technology and Arts form a nexus at which insightful observers have identified high potential for innovation. STARTS EC(H)O’s main objective is building towards the triple transformation and developing artist-led approaches through creative experimentation and recognising the most successful ones.
This enrichment program offers school-age students opportunities to develop and execute simulation projects in collaboration with HLRS scientists.
SiVeGCS coordinates and ensures the availability of HPC resources of the Gauss Centre for Supercomputing, addressing issues related to funding, operation, training, and user support across Germany's national HPC infrastructure.
SRI DiTEnS is developing methods for discursive transformation in local energy systems, using urban digital twins involving virtual reality to support decision making among stakeholders.
targetDART is developing a task-based approach for highly scalable simulation software that mitigates load-imbalance on heterogenous systems through dynamic, adaptive and reactive distribution of computational load across compute resources.
Focusing on a large-scale, high-resolution earth system model, TOPIO is investigating read and write rates for large amounts of data on high-performance file systems, as well as approaches that use compression to reduce the amount of data without causing a significant loss of information.
In the first ever project to connect computers in wind parks with an HPC center, WindHPC aims to reduce energy consumption by improving efficiency in simulation codes, HPC workflows, and data management.
