Closed projects
CHIC
The CHIC project aims at developing cutting edge ICT tools, services and secure infrastructure to foster the development of elaborate and reusable integrative models (hypermodels) and larger repositories so as […]
Cosmo.Lab
The project will provide a tool of visualization and analysis of astrophysical data coming both from observation and computer simualtions, based on the AstroMD. The aim is to build a […]
DARE
DARE wants to demonstrate the effectiveness of an INNOVATIVE DIGITAL-BASED AND CITIZEN-CENTRED GOVERNANCE APPROACH, aimed at facilitating, supporting & fastening the implementation & evaluation of the DARSENA (Ravenna) URBAN REGENERATION […]
Decadal
The overall objective of the project is to perform observational studies and numerical simulations to investiagte and understand the nature of the decadal and interdecadal variability of the atmosphere-ocean system.
AGORA
To perform Global Ocean data assimilation experiments with surface, subsurface and remotely sensed data, and to produce assimilated global data sets with several Data Assimilation Systems for intercomparison and cross-validation […]
DEEP
The project DEEP proposes to develop a novel, Exascale-enabling supercomputing platform along with the optimisation of a set of grand-challenge codes simulating applications highly relevant for Europe’s science, industry and […]
AI4EU
AI4EU is the European Union’s landmark Artificial Intelligence project, which seeks to develop a European AI ecosystem, bringing together the knowledge, algorithms, tools and resources available and making it a […]
DEEP-ER
The goal of DEEP-ER is to update the Cluster-Booster architecture introduced by the DEEP project and extend it with additional parallel I/O and resiliency capabilities. In DEEP-ER, Cluster and Booster […]
DEISA
DEISA (Distributed European Infrastructure for Supercomputing Applications) è un consorzio europeo di centri di supercalcolo leader a livello nazionale. Questa infrastruttura di ricerca del Sesto Programma Quadro della Comunità Europea […]