This department is advancing the convergence of high-performance computing and artificial intelligence, in particular with the goal of supporting hybrid HPC/AI workflows on a single infrastructure. This includes developing AI solutions, specifically in a business context, using cutting-edge technologies for big data, machine learning, and deep learning. The group also conducts research on related virtualization technologies such as containers, orchestration, and job scheduling. Leveraging synergies between virtualization and HPC, it has gained expertise in the development and operation of dynamic and scalable cloud computing services. The group efficiently applies performance and availability monitoring, elastic workflow management, and energy-efficient operation for federated cloud environments.
Dennis Hoppe
Research Scientist
Head, Service Management and Business Processes
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.
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.
The SEQUOIA End-to-End project aims 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.
