Projects

Showing 21 - 30 results of 263

CYBELE generates innovation and create value in the domain of agri-food, and its verticals in the sub-domains of PA andPLF in specific, as demonstrated by the real-life industrial cases to be supported, empowering capacity building within theindustrial and research community. Since agriculture is a high volume business with low operational efficiency, CYBELE aspires at...

Life Sciences have become increasingly digital and this is accelerating. Computational techniques play key roles in processing, analysis and generating new knowledge from experiments, even in replacing them. This has been enabled due to tremendous advances in techniques such as docking and molecular simulations at both atomistic and quantum levels to which world-leading...

Earth system modelling, climate change, model data repository, WCRP international experiments, high-performance computing IS-ENES3 will deliver the third phase of the distributed e-infrastructure of the European Network for Earth System Modelling (ENES). IS-ENES3 will be initiated as the European climate modelling community faces the challenges of contributing to the next...

The Energy-oriented Centre of Excellence (EoCoE) applies cutting-edge computational methods in its mission to accelerate the transition to the production, storage and management of clean, decarbonized energy. EoCoE is anchored in the High Performance Computing (HPC) community and targets research institutes, key commercial players and SMEs who develop and enable...

The path towards exascale computing holds enormous challenges for the community of weather and climate modelling regarding portability, scalability and data management that can hardly be faced by individual institutes. ESiWACE2 will therefore link, organise and enhance Europe's excellence in weather and climate modelling to 

  • enable leading European weather...

Computer and information sciences, Health data, FAIRification, FAIR, FAIR-CMMI Wide sharing of knowledge and data drives the progression of science. Shared data allows other researchers to reproduce findings and benchmark quality of experiments. Sharing data so that other researchers can Find, Access and Interoperate i.e. integrate the data with the outcomes of their own...

The EPI SGA1 project will be the first phase of the European Processor Initiative FPA, whose aim is to design and implement a roadmap for a new family of low-power European processors for extreme scale computing, high-performance Big-Data and a range of emerging applications. EPI SGA1 will:

  • Develop the roadmap for the full length of the EPI...

CanSHare will develop the first centralised, secure and sustainable platform for enhanced cross-border data sharing and multi-cohort personalised medicine research in cardiology. At its heart, the platform will contain the most comprehensive cardiovascular data catalogue ever assembled, which will facilitate data discoverability and exploitation in full alignment with the...

Big data is nowadays being integrated in systems requiring to process a vast amount of information from (geographically) distributed data sources, while fulfilling the non-functional properties (real-time, energy-efficiency, communication quality andsecurity) inherited from the domain in which analytics are applied. Examples include smart cities or smart manufacturingdomains....

Engineering applications will be among the first exploiting exascale, not only in academia but also industry. In fact, theindustrial engineering field is the industrial field with the highest exascale potential, thus EXCELLERAT brings together thenecessary European expertise to establish a Centre of Excellence in Engineering with a broad service portfolio, paving...

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