Centres of Excellence in exascale computing

Proposals should clearly identify the target area/domain that will be the focus of their work, which must have great potential to achieve exascale performance in Europe, (e.g. Materials Science, Engineering, Artificial Intelligence, Cybersecurity, Personalised Medicine, etc.). Proposals must convincingly demonstrate this potential and the need for exascale requirements. Proposals must also develop synergies with existing CoEs and show European added value. Should the proposed work target an area or domain already covered by existing CoEs, proposals must clearly elaborate on how their proposal further expands and develops progress beyond what existing CoEs are implementing (e.g. different/new codes upgraded, new user communities, etc.) and demonstrate that they shall cooperate with existing CoEs (if relevant) and avoid any kind of overlaps/duplication in the selected area of work.

Proposals must address:

• Research in HPC applications towards highly scalable, optimised codes and the

  Supporting Centres of Excellence (CoE) that advance and promote the use of upcoming exascale computing capabilities in areas where user communities in collaboration with other High Performance Computer (HPC) stakeholders can develop or scale up existing parallel codes towards exascale performance, resulting into tangible benefits for scientific, industrial or societal challenges.

  CoEs must be user-driven and inherently committed to co-design activities to ensure that future HPC architectures are well suited for the applications and their users (both from academia and industry), providing with a high performance and scalable application base. CoEs will federate existing resources around Europe, exploiting available competences, and ensuring multidisciplinarity (combining application domain and HPC system, software and algorithm expertise) and synergies with national/regional programmes. CoEs must further enlarge and expand these capabilities all over in Europe, in particular by including users communi

  • European leadership in exascale-oriented codes and innovative algorithms/solutions that address societal challenges or are important for key scientific and industrial applications;
  • Improved access to computing applications and expertise that enables researchers and industry to be more productive, leading to scientific excellence and economic and social benefit;
  • Increased access to and uptake of applications by relevant user communities in those countries currently developing and advancing their HPC infrastructure and ecosystem;
  • Improved competitiveness for European companies and SMEs;
  • Federating capabilities and integrating communities around computational science in Europe;
  • Complementarity and synergy with existing Centres of Excellence on HPC applications;
  • A large number of female and male scientists and engineers trained in the use of computational methods and optimisation of applications.