The AI Alliance Baden-Württemberg aims to develop a data platform for AI-relevant data exchange among academic and industrial stakeholders.
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.
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.
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.
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.
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.
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.
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.
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.
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.
CoeGSS brings together the power of high-performance computing and some of the most promising thinking on global systems in order to improve decision-making in business, politics and civil society.
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.
By presenting exciting, immersive experiences of current engineering topics in virtual reality and augmented reality, DimensionLab3 aims to increase young students' interest in and motivation to study technical subjects.
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.
EUXDAT is a Horizon 2020 project building an e-infrastructure addressing agriculture, land monitoring, and energy efficiency for sustainable development.
The FORTISSIMO 2 project targets the adoption of advanced simulation in small and medium-sized companies, realizing a “one-stop-shop” to enable state-of-the-art hardware access, expertise, applications, visualization and tools in an efficient fashion.
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.
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.
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.
This project is testing a novel, simulation-based approach to develop new systems for protecting vehicle occupants in accidents.
S+T+ARTS AIR is making supercomputing technologies and expertise available to enable innovative collaborations involving the arts, science, and technology.
The SEQUOIA End-to-End project worked to develop transparent, automated, and controllable end-to-end solutions for the industrial use of hybrid quantum applications and algorithms through holistic quantum software engineering.
