Projects

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...

Es esencial diseñar antivirales capaces de inhibir, a la vez, diversos coronaviruses, introduciendo así una serie de moléculas que puedan actuar como primera línea de choque en mutaciones de SARS-CoV-2 y en las pandemia venideras. Para ello, es imprescindible localizar dianas con alta similitud, bien caracterizadas estructuralmente, y realizar un...

The main goal of Rising STARS is to enable a parallel programming framework for the development and execution of advanced large-scale Cyber Physical Systems (CPS) with High Performance Computing (HPC) and real-time requirements. Overall, there is an urgent necessity to develop run-time parallel frameworks, compatible with HPC, capable of guaranteeingthat decisions made at...

The MareNostrum Experimental Exascale Platform (MEEP) is a flexible FPGA-based emulation platform that will explore hardware/software co-designs for Exascale Supercomputers and other hardware targets, based on European-developed IP. MEEP provides two very important functions:

• An evaluation platform of pre-silicon IP and ideas, at speed and scale and
• A...

Mixed-Criticality Cyber-Physical Systems (MCCPS) deployed in critical domains like automotive and railway are starting to use Over The AirSoftware Updates (OTASU) for functionality improvement, bug fixing, and solving security vulnerabilities (among others). But, OTASU entailsseveral difficulties:

1) Safety including non-functional properties like...