Projects

This project federates efforts from 3 pan-European ESFRI infrastructures (HL-LHC, SKAO and SLICES-RI) in physical sciences, Big Data, and in the computing continuum supporting flagship instruments that will maintain and strengthen European leadership in high energy physics and astronomy. The main goal is to enable key science projects, with the search for Dark Matter serving...

ELIXIR unites Europe's leading life science organisations in managing and safeguarding the increasing volume of data being generated by publicly funded research. It coordinates, integrates and sustains bioinformatics resources across its 23 Nodes.

ELIXIR enables users in academia and industry to access services (databases, software, training,...

The number and diversity of embedded FPGA SoC (System On Chip) in modern satellites is increasing and so it is the complexity and cost to use them efficiently and safely. With the emergence of these platforms, software architects and developers are facing increasingly difficult challenges to (i) optimize the deployment of software to efficiently use the available resources,...

AI4Deunk aims to develop 4 human-centered AI-powered interfaces: a web plug-in, a collaborative platform, a smartphone app, andan AR interface. All these solutions will be built upon a "debunking" API.

To develop such an API, AI4Debunk will focus on 2 peculiar disinformation topics: the war in Ukraine and disinformation related toclimate change. By...

The ISOLDE project aims to significantly support the digital transformation of all economic and societal sectors, to speed up the transition towards a green, climate neutral and digital Europe, to strengthen the design capacity and to achieving digital autonomy EU-wide. By the end of our project, we will have high performance RISC-V processing systems and platforms at least...

The high-performance demands of the functionalities required in complex critical systems is rapidly increasing. In the space domain, on-board processing algorithms for navigation and control systems are needed to increase  spacecraft autonomy; in the automotive and railway domains, advanced driving assistance systems (ADAS) and obstacle detection and avoidancesystems...

Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, accounting for about a third of annual deaths. Refusing structured and unstructured data has the potential for significant health benefits for the population suffering from CVD. Healthcare data reuse in Europe faces privacy and fragmentation issues, high data formats and language diversity, and a...

The SSAS team has been actively working on the design, development, and analysis of embedded critical computing systems (ECCS) normally found in cars, planes, trains, satellites and medical devices. The essential concern in ECCS is that guarantees must be provided on their correctness in both the functional and temporal behavior. The former warrants that the software behaves as expected from...

One of the main drivers for building exascale HPC systems today is the growing need to process extremely large data sets. However, the flat storage hierarchies found in classic HPC architectures no longer satisfy the performance requirements of data-processing applications. Uncoordinated file access in combination with limited bandwidth make the centralised backend parallel...

The eProcessor ecosystem combines open source software (SW) and hardware (HW) to deliver the first completely open source European full stack ecosystem based on a new RISC-V CPU coupled to multiple diverse accelerators that target traditional HPC and extend into mixed precision workloads for High Performance Data Analytics (HPDA), (AI, ML, DL andBioinformatics). eProcessor...