Centres of Excellence
ENCCS is also in tight collaboration with Centres of Excellence and can assist users get information on their supported software as well as get in touch with key people to get the support that they need.
CoEs will promote the use of upcoming exascale and extreme performance computing capabilities and scale up existing parallel codes towards exascale scaling performance. Below you can find every CoE and their supported HPC software in multiple disciplines.
The main objective of ChEESE is to establish a new Center of Excellence (CoE) in the domain of Solid Earth (SE) targeting the preparation of 10 Community flagship European codes for the upcoming pre-Exascale (2020) and Exascale (2022) supercomputers.
CompBioMed is a European Commission H2020 funded Centre of Excellence focused on the use and development of computational methods for biomedical applications. In more detail it addresses the needs of the computational biomedicine research community within cardiovascular medicine, molecularly-based medicine and neuro-musculoskeletal medicine
EoCoE drives its efforts into 5 scientific Exascale challenges in the low-carbon sectors of energy: Meteorology, Materials, Water, Wind and Fusion. This multidisciplinary effort will harness innovations in computer science and mathematical algorithms within a tightly integrated co-design approach to overcome performance bottlenecks and to anticipate future HPC hardware developments.
The Centre of Excellence in Simulation of Weather and Climate in Europe (ESiWACE) enables global storm- and eddy resolving weather and climate simulations on the upcoming (pre-)Exascale supercomputers.
Application codes are the core of Excellerat projects since they allow for achieving the cutting-edge results of engineering objectives.A number of codes are officially supported within the Services provided in the context of Excellerat Center of Excellence.
HiDALGO (HPC and Big Data Technologies for Global Systems) develop novel methods, algorithms and software for HPC and HPDA to accurately model and simulate the complex processes, which arise in connection with major global challenges.
NOMAD creates, collects, stores, and cleanses computational materials science data, computed by the most important materials-science codes available today. Furthermore, the NOMAD Laboratory develops tools for mining this data in order to find structure, correlations, and novel information that could not be discovered from studying smaller data sets. NOMAD leads the Open Science Movement in materials science, supported by the global community by making all data freely accessible.