HLRS Projects

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.


InHPC-DE

InHPC-DE furthers the federation of the three national HPC centres in Germany, addresses new requirements such as security, and evaluates the Gaia-X ecosystem in the context of high-performance computing.

InHPC-DE

IKILeUS

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.

University students in a classroom work together on a laptop computer.

SEQUOIA

HLRS is developing new software for quantum computers and investigating ways to integrate them with conventional systems for high-performance computing and artificial intelligence.


ORCHESTRA

ORCHESTRA is developing a networked platform for sharing data and for creating a new large-scale, pan-European cohort for research on the SARS-CoV-2 pandemic, providing a model for addressing future public health threats.

Logo for ORCHESTRA project.

NFDI4Cat

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.

Logo for NFDI4Cat project.

HPCWE

This consortium of academic institutes, HPC centers, and industrial partners in Europe and Brazil is developing novel algorithms and state-of-the-art codes to support the development of more efficient technologies for wind power.

Logo for HPCWE project.

CYBELE

CYBELE is integrating tools from high-performance computing, high-performance data analytics, and cloud computing to support the development of more productive, data driven methods for increasing agricultural productivity and reducing food scarcity.

Logo for CYBELE project.

HiDALGO

This project is developing novel methods, algorithms, and software for HPC and HPDA to model and simulate complex processes that arise in connection with major global challenges.

Logo for HiDALGO project.

OSCCAR

This project is testing a novel, simulation-based approach to develop new systems for protecting vehicle occupants in accidents.

Logo for OSCCAR project

EUXDAT

EUXDAT is a Horizon 2020 project building an e-infrastructure addressing agriculture, land monitoring, and energy efficiency for sustainable development.


EOPEN

EOPEN aims to tackle the technical barriers arising from the massive streams of Earth observation data to ensure scalability of the data harmonization, standardization, fusion, and exchange methods.

Logo for EOPEN project.

CATALYST

CATALYST researches methods for analyzing large datasets produced by modeling and simulation with the goal of implementing a framework that combines HPC and data analytics.

CATALYST project logo