Projects

The main goal is to design an Extreme near-data platform to enable consumption, mining and processing of distributed and federated data without needing to master the logistics of data access across heterogeneous datalocations and pools. We go beyond traditional passive or bulk data ingested from storage systems towards next generation near-data processing platforms both in...

Vitamin-V aims to develop a complete RISC-V open-source software stack for cloud services with iso-performance to its clouddominantx86 counterpart and a powerful virtual execution environment for software development, validation, verification, and test that considers the relevant RISC-V ISA extensions for cloud deployment. Specifically, commercial cloud systems make use of...

Building on the EPI and EUPilot project outcomes, RISER will develop the first all-European RISC-V cloud server infrastructure, significantly enhancing Europe's genuine strategic autonomy. RISER will leverage and validate open hardware high-speed interfaces combined with a fully-featured operating system environment and runtime system, enabling the integration of low-power...

The growing need to transfer massive amounts of data among multitudes of interconnected devices for e.g., self-driving vehicles, IoTor industry 4.0 has led to a quest towards low-power and secure approaches to locally processing data. Neuromorphic computing, a brain-inspired approach, addresses this need by radically changing the processing of information. Although...

IMPETUS4CHANGE (I4C) will make significant scientific advances that will enhance our collective ability to act on and adapt to near-term climate change. The overarching objective of I4C is to improve the quality, accessibility and usability of near-term climate information and services at local to regional scales where impacts are most keenly felt and on-the-ground adaptation...

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...

The EHDS2 Pilot project is composed of 16 partners that are national hubs, ERICs or research Infrastructures, EU agencies and associations in the area of health. The partners have expertise in health data fields and transversal skills acquired in different previous projects or partnership networks.

The EHDS2 Pilot project will build and test a first...

In the past decade, many scientific domains have been transformed into data-driven disciplines relying on the exchange and integration of internationally distributed data. Exploiting this data is still a laborious and largely manual task, prone to losses and errors, and increasingly specialised beyond most users technical capabilities. FAIR practices are encouraged but their...

There is a need to increase the capabilities of current Computational Fluid Dynamics tools for engineering design by re-engineering them for extreme-scale parallel computing platforms. The backbone of the Large-scale Computational Fluid Dynamics (LS/CFD) team is centered on the fact that, today, the capabilities of leading-edge emerging HPC architectures are not fully...

La computación de altas prestaciones (High Performance Computing, HPC) es ahora una pieza clave en el futuro de la ciencia, industria y la sociedad. Su aplicación para métodos matemáticos y algoritmos computaciones será esencial para producir aplicaciones robustas, que sean capaces de aprovechar las futuras arquitecturas de alto rendimiento...