Projects

Showing 51 - 60 results of 114

The IOTWINS project will deliver large-scale industrial test-beds that leverage and combine data related to  manufacturing and facility management optimization domains that come from diverse sources, such as data APIs, historical data, embedded sensors, and Open Data sources.The goal is to build a reference architecture for the development and deployment of distributed...

The IOTWINS project will deliver large-scale industrial test-beds leveraging and combining data related to the manufacturing and facility management optimization domains, coming from diverse sources, such as data APIs, historical data, embedded sensors, and Open Data sources. The goal is to build a reference architecture for the development and deployment of distributed and...

High performance computing (HPC) has transformed scientific research across numerous disciplines by supportingtheory and experiments with numerical simulations. Exascale computing is the next milestone in HPC and is called to play an important role in economic competitiveness, societal challenges and science leadership. Combustion isone of the fields with high strategic...

This project is going to apply exascale HPC techniques to different energy industry simulations of critical interest for Mexico. ENERXICO will give solutions for oil & gas industry in upstream, midstream and downstream problems, wind energy industryand combustion efficiency for transportation. This project brings together the main stakeholders of the energy industry...

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...

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