Projects
At an increasing rate, industrial and scientific institutions need to deal with massive data flows streaming in from a multitude of sources. For instance, maritime surveillance applications combine high-velocity data streams, including vessel position signals emitted from hundreds of thousands of vessels across the world and acoustic signals of autonomous, unmanned vessels;...
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...
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...
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...
The main goal of MaX is to allow the pre-exascale and exascale computers expected in Europe in the 2020s to meet the demands of a large and growing base of researchers committed to materials discovery and design. This goal will be achieved through:
- an innovative software development model, based on the concept of separation of concerns, that will enable...
The main objective of ESTiMatE is to develop a modelling strategy using CFD simulations for the prediction of soot in terms of chemical evolution and particle formation in conditions relevant to aero engine operation. The model developments are based on the use of detailed chemical kinetics for kerosene surrogates, and advanced combustion and spray models validated with...
This project aims to establish a Center of Excellence to prepare flagship codes and enable services for Exascale supercomputing in the area of Solid Earth (SE). ChEESE will harness European institutions in charge of operational monitoring networks, tier-0 supercomputing centers, academia, hardware developers and third-parties from SMEs, Industry and public-governance.
The goal of this project is to assess the suitability of the NEMO code to run simulations on extremely high resolution global grids and provide information on the major bottlenecks constraining its scalability, in order to address the ever-increasing demands of oceanic forecasting and facilitate the deployment of these configurations in the next years. Special focus will be...
The ExaQUte project aims at constructing a framework to enable Uncertainty Quantification (UQ) and Optimization Under Uncertainties (OUU) in complex engineering problems using computational simulations on Exascale systems. The stochastic problem of quantifying uncertainties will be tackled by using a Multi Level MonteCarlo (MLMC) approach that allows a high number of...
As a result of HBP SGA-1, the Qbeast framework enables to achieve the concept of interactive supercomputing and in-situ techniques to break traditional workflows in HPC simulations, converting them into more dynamic and adaptive to the needs of scientists. As a long term project, the HBP does not include in its current work plan the exploitation of such relatively small...