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
Scientific Project Manager (EU-Project Management)
Head, Converged Computing
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.
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.
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.
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.
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 address the challenges of energy-efficient parallel infrastructure development based on acceleratable heterogeneous hardware such as GPU, CPU, and FPGA in domains like cyber-physical systems, Internet of Things, or high-performance computing.
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.
The project aims to provide an optimized, resilient, heterogeneous execution environment that enables operational transparency between cloud and HPC infrastructures.
