Projects

DEEP-SEA (DEEP Software for Exascale Architectures) will deliver the programming environment for future Europeanexascale systems, adapting all levels of the software (SW) stack including low-level drivers, computation andcommunication libraries, resource management, and programming abstractions with associated runtime systems and tools to support highly heterogeneous compute...

With exascale systems almost outside our door, we need now to turn our attention on how to make the most out of these large investments towards societal prosperity and economic growth.

REGALE aspires to pave the way of next-generation HPC applications to exascale systems. To accomplish this we define an open architecture, build a prototype system and...

NextSim partners, as fundamental European players in Aeronautics and Simulation, recognise that there is a need to increase the capabilities of current Computational Fluid Dynamics tools for aeronautical design by re-engineering them for extreme-scale parallel computing platforms. The backbone of NextSim is centred on the fact that, today, the capabilities of leading-edge...

The goals of this inter-disciplinary project are to:

1) gain understanding of the mechanisms causing chemoresistance in high-grade serous ovarian cancer (HGSOC) patients,

2) deliver tools that enable effective and cost-efficient personalised treatment options for HGSOC patients, and

3) commercialise...

For Artificial Intelligence (AI) to become fully pervasive it needs resources at the edge of the network. The cloud can provide the processing power needed for big data, but edge computing is located close to where data are produced and is therefore crucial to their timely, flexible, and secure management.

AI-SPRINT will define a framework for...

Today developers lack tools that enable the development of complex workflows involving HPC simulation and modelling with data analytics (DA) and machine learning (ML). The eFlows4HPC project aims to deliver a workflow software stack and an additional set of services to enable the integration of HPC simulation and modelling with big data analytics and machinelearning in...

Predicting novel materials with specific desirable properties is a major aim of ab initio computational materials science (aiCMS) and an urgent requirement of basic and applied materials science, engineering and industry. Such materials can have immense impact on the environment and on society, e.g. on energy, transport, IT, medical-device sectors and much more. Currently,...

Personalised Medicine (PerMed) opens unexplored frontiers to treat diseases at the individual level combining clinical and omics information. However, the performances of the current simulation software are still insufficient to tackle medical problems such as tumour evolution or patient-specific treatments. The challenge is to develop a sustainable roadmap to scale-up the...

This PoC project aims to pave the road to commercialize a comprehensive data analytics platform enabling data-driven biomedical innovation and precision medicine. The platform is specifically designed to efficiently fuse and mine heterogeneous omic data, including genomes, epigenomes, proteomes, metabolomes, patient clinical profiles, drugs and their chemical similarities,...

Digital twins, along with the Internet of Things and Edge computing , are expected to play a decisive role in the nextdecade s industrial markets (Industry 4.0) enabling dramatic improvements in complex systems design and operation.However, this technology has not been yet widely implemented, since it requires the collaboration of experts in multiple fieldsand costly...