Projects

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...

Esta actuación tiene como objetivo principal realizar los desarrollos necesarios que permitan diseñar prototipos de nuevas generaciones de procesadores y aceleradores basados en los diseños actuales de EPI. Estos desarrollos permitirán que su siguiente evolución posterior pueda fabricarse usando tecnologías que acerquen sus...

En este proyecto pretendemos utilizar el conocimiento desarrollado en BSC referente a procesadores multinúcleo basados en el juego deinstrucciones abierto RISC-V y sistemas hardware de gestión de tareas con dependencias para integrar un sistema multinúcleo deprocesadores fuera de orden capaz de adaptarse por hardware a las características de la...

Deep learning (DL) is widely used to solve classification problems previously unchallenged, such as face recognition, and presents clear use cases for privacy requirements. Homomorphic encryption (HE) enables operations upon encrypted data, at the expense of vast data size increase. RAM sizes currently limit the use of HE on DL to severely reduced use cases. Recently emerged...

Europe is implementing an AI strategy that seeks to create a research environment characterised by scientific excellence and that is consistent with the fundamental ethical values of its citizens. Part of this strategy foresees the consolidation of ongoing research activities through the creation and maintenance of an AI on-demand Platform that will act as a community...

Ultrasound imaging can be deeply enhanced by means of algorithms developed in the field of geophysical imaging. Such algorithms, based upon adjoint-state modelling and iterative optimization, provide quantitative images of human tissue with very high resolution. At present time, suchimages can only be attained by means of high-performance computing and using specific...

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...

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...