Advances the convergence of artificial intelligence (AI), cloud, edge, and quantum computing with high-performance computing (HPC). The group's goal is to make HPC more accessible by transforming operational models and promoting seamless workflows across the entire computing spectrum. This integration enables hybrid HPC/AI workflows that combine traditional simulations with AI techniques, including big data, machine learning, and deep learning. Additionally, the department works to lower the barriers to supercomputing and broaden the HPC ecosystem to new users through virtualization technologies like containers, workflow orchestration, and job scheduling. Consequently, we have developed expertise in creating and managing dynamic, scalable federated cloud computing services such as Gaia-X.
Dennis Hoppe
Research Scientist
Head, Converged Computing
Scientific Research Assistant
The AI Alliance Baden-Württemberg aims to develop a data platform for AI-relevant data exchange among academic and industrial stakeholders.
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.
This study will assess potential applications of high-performance computing (HPC) in crisis situations, and what organizational procedures are needed to ensure that HPC resources are immediately available.
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.
The EuroHyPerCon project aims to shape the future of HPC in Europe by defining a long-term hyperconnectivity specification and implementation roadmap to meet Europe's future ultra-high-speed network requirements.
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.
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.
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.
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.
The project aims to provide an optimized, resilient, heterogeneous execution environment that enables operational transparency between cloud and HPC infrastructures.
