Scientific and Innovation Case for HPC in Europe

Scientific and Innovation Case for HPC in Europe

Wednesday, June 11, 2025 9:00 AM to 10:00 AM · 1 hr. (Europe/Berlin)
Hall G1 - 2nd floor
Birds of a Feather
Bioinformatics and Life SciencesChemistry and Materials ScienceComputational PhysicsEarth, Climate and Weather ModelingEngineering

Information

The Scientific and Innovation Case (SIC) is a holistic study covering different scientific fields and industrial applications using HPC. The 1st European SIC for HPC was initiated by the European HPC Task Force already back in 2004. This first exercise was crucial for the development of the European HPC ecosystem with first national states investing in a competitive HPC infrastructure. Later on, the EC engaged together with the member states in EuroHPC JU funding a European HPC infrastructure. Since research and technology, especially in the field of HPC / IT technology are developing extremely fast, also the SIC needs to be updated regularly in order to reflect these new trends and technologies. The last European SIC was published 2018. The SIC was and it is still very important to secure funding for a HPC infrastructure by demonstrating the achieved results and predicting possible results as well as the need for a sound investment in software and skills. It is also instrumental for ensuring a strong link between the user needs and the large investment in a HPC infrastructure.

The SIC provides an in depth understanding of the current use of HPC systems and state-of-the-art in different communities including industry. Beside the traditional scientific simulation fields in fundamental-, life- and earth science, energy and material research, engineering and industrial application, new fields like social sciences and humanities will be addressed in the new SIC as well. The SIC is crucial in order to understand the current social challenges and analyse the social impact of HPC on our society in general.

The SIC also addresses new trends and technology. Today, AI and machine learning are rapidly evolving technologies also impacting the traditional simulation science. In the same way AI is becoming increasingly important also the fast-growing amount of data needs to be considered. The next generation computing with new algorithms and complete new approaches to solve mathematical problems will be discussed also in respect to energy efficiency.

The SIC is aiming at predicting future post exascale needs and trends. The analysis of the present results and the prediction of future possibilities will be instrumental for formulating recommendations for all HPC stakeholders, especially funding agencies and politicians.

During this BoF the main findings and recommendations of the SIC will be presented and discussed. For a sound scientific case it is crucial to get as many views as possible in a structured way and to perform a sound gap analysis to ensure that all relevant ideas and topics will be addressed. Science and research both academic as industrial are international endeavours based on joint discussions and sharing ideas. The purpose of this BoF is to have an open discussion with members of the research and industrial HPC community and to receive thorough feedback.
Organizers:
Format
On Site
Targeted Audience
HPC users, application specialist, HPC policy makers