New European CoE RAISE

Artificial intelligence (AI) methods are developing at a rapid rate and being progressively applied to numerous workflow stages to solve complex problems. Analysing and processing big data requires high computational power and scalable AI solutions. Therefore, entirely new workflows must be developed from current applications that can be run efficiently on future high-performance computing (HPC) architectures at exascale. To tackle these topics, a new European Centre of Excellence "Research on AI- and Simulation-Based Engineering at Exascale" (CoE RAISE) was founded and is being funded by the EU.

Forschungszentrum Jülich coordinates the CoE RAISE, which was launched on 1 January 2021 with a total budget of around € 5 million. The CoE brings together eleven full partners and two third parties with expertise in AI and HPC. RAISE will be an excellent enabler for the advancement of these technologies in Europe on industrial and academic levels, and a driver for novel intertwined AI/HPC methods. These technologies will be advanced on the basis of representative use cases, covering a wide spectrum of academic and industrial applications, for example wind energy harvesting, hydrodynamics of wetting, manufacturing, physics, turbomachinery, and aerospace.

RAISE aims at closing the gap in full loops using forward simulation models and AI-based inverse inference models in conjunction with statistical methods in order to learn from current and historical data. In this context, novel hardware technologies such as modular supercomputing architectures, quantum annealing, and HPC prototypes will be used to explore unseen performance in data processing. RAISE's European network will develop and provide best practices, support, and education for industry, SMEs, academia, and HPC centres on the Tier-2 level, attracting new user communities. This will be coupled with the development of a business providing new services to various user communities.

Contact: Dr. Andreas Lintermann,

From JSC News No. 278, 30 January 2021

Last Modified: 05.07.2022