Projects

Showing 11 - 20 results of 36

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...

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....

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...

Computers increasingly intervene in critical aspects of our life related to health, safety, and security, resulting in (critical) software controlling functionalities or services with humans in the loop. This trend towards critical-function digitization brings huge benefits for society and rests two pillars: the use of high-performance parallel hardware as the only viable option to cover the...

The European Processor Initiative (EPI) will mobilise the continent's High Performance Computing (HPC) ecosystem to develop new low-power processors for HPC and embedded systems. The aim is to use the results in the world-class exascale platforms that the EU is planning for 2022 and 2023.

EPI will follow a co-design approach through a partnership...

The project EXDCI-2 builds upon the success of EXDCI and will continue the coordination of the HPC ecosystem withimportant enhancements to better address the convergence of big data, cloud and HPC. EXDCI-2 strategic objectives are:

  • Development and advocacy of a competitive European HPC Exascale Strategy and
  • Coordination of the stakeholdercommunity for...

Big data applications processing extreme amounts of complex data are nowadays being integrated with even morechallenging requirements such as the need of continuously processing vast amount of information in real-time.Current data analytics systems are usually designed following two conflicting priorities to provide:

(i) a quick and reactiveresponse...

Además de la necesidad de ejecutar grandes simulaciones numéricas, el crecimiento exponencial de la cantidad de datos disponibles aporta al método científico un nuevo
paradigma basado en su análisis masivo; "Big Data" se refiere al conjunto de retos tecnológicos asociados con la obtención, gestión, análisis y...

The main target of the Mont-Blanc 3 project "European Scalable and power efficient HPC platform based on low-power embedded technology" is the creation of a new high-end HPC platform (SoC and node) that is able to deliver a new level of performance / energy ratio whilst executing real applications.

The technical objectives are:

We are entering the Cyber-Physical age, in which both objects and people will become nodes of the same digital network for exchanging information. Therefore, in our imaginary, the general expectation is that things or systems will become somewhat smart as people, allowing rapid and close interactions not only system-system, but also human-system, system-human.

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