EuroHPC Project HANAMI

Project duration
Mar. 1, 2024 - Feb. 28, 2027
Partners
- Commissariat à l'énergie atomique et aux énergies alternatives (CEA), France
- Barcelona Supercomputing Center (BSC), Spain
- CINECA Consorzio Interuniversitario, Italy
- National Research Council of Italy (CNR), Italy
- Centre National de la Recherche Scientifique (CNRS), France
- CSC - IT Center for Science (CSC), Finland
- Forschungszentrum Jülich GmbH, Germany
- University of Stuttgart, Germany
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), Spain
- Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Portugal
- KTH Royal Institute of Technology (KTH), Sweden
- Deutsches Klimarechenzentrum (DKRZ), Germany
- European Centre for Medium-Range Weather Forecasts (ECMWF), EU
- University of Warsaw, Poland
Funding
The project is funded with 5 Mio. Euros by the European Union Horizon Europe Programme - Grant Agreement Number 101136269 under the call HORIZON-EUROHPC-JU-2022-INCO-04.
Project description
The Jülich Supercomputing Centre (JSC) participates in the HPC ALLIANCE FOR APPLICATIONS AND SUPERCOMPUTING INNOVATION (HANAMI) which brings together research teams representing excellence in HPC both in Europe and Japan. The overall objective of the HANAMI project is to develop a sustainable ecosystem bringing together climate, biomedical and materials science communities operating in the area of HPC and parallel computing. Scientific projects in these disciplines focus on the co-development of key applications and relative codes used in academic and industrial environments. The main focus of the European and Japanese co-development teams will be benchmarking, measuring, and optimizing the performance of the applications on extreme-scale architectures (both in Europe and Japan). The project receives a total budget of 5 Mio. Euros for its duration of 36 month from the European Commission.
The SDL FSE is involved in a project about biomedical application co-development to address societal challenges. This project builds upon a long-year collaboration between JSC and the RIKEN Center for Computational Science (R-CCS). The aim of this project is to develop AI-assisted automated methodologies that enable to run computational fluid dynamics (CFD) simulations at large scale, including an analysis of the results, for individual patients. The simulations are combined with AI methods and novel hardware technologies at JSC and RIKEN R-CCS to accelerate computations, provide an AI-assisted surgery planning tool to surgeons, and assess the infection risk in indoor scenarios.
Links
Project website: https://hanami-project.com/