Projects

The project proposes a solution for making on-demand configurable digital twin engines for forecasting of environmental extremes at the sub-km scale. We name the solution Destination Earth On-Demand Extremes (DEODE). The core of our solution is to provide an on-demand workflow with co-design of high resolution predictions about extreme weather events combined with decision...

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...

With present computational capabilities and data volumes entering the Exascale Era, digital twins of the Earth system will be able to mimic the different system components (atmosphere, ocean, land, lithosphere) with unrivalled precision, providing analyses, forecasts, and what-if scenarios for natural hazards and resources from their genesis phases and across their temporal...

This project primary targets Catalan SMEs (with a special focus on manufacturing companies and technology providers), technology start-ups and public administrations. Catalonia has a strong industrial base, with 35,339 companies (99% SMEs) which represent 18,1% of Spanish industrial enterprises. Data from 2019 shows that only 16% of those companies had adopted advanced...

CAELESTIS will develop an end-to-end Interoperable Simulation Ecosystem (ISE) that will perform multidirectional dataflow across the aircraftvalue chain linking product design and distributed engineering teams´ CAD-CAE tools, to accelerate the design and engineering optimization of disruptive aircraft and engine configurations, ensuring their manufacturability from the...

The project aims at developing a computational platform for virtual testing of industrial combustors using High-Performance Computing (HPC). It uses an advanced modelling strategy based on high-fidelity numerical simulations and HPC-based data analysis tools to obtain quantitative information about combustion performance in terms of combustion dynamics, pollutant formation...

El Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC-CNS) es un consorcio entre la Administración General del Estado y la Generalitat de Cataluña adscrito a la Administración General del Estado y gestionado como el resto de los Consorcios de Investigación por la Dirección General de Planificación de la...

The Health Language Technology group of BSC generates AI and deep-learning based natural language processing resources, including components, annotated data/protocols as well as defining evaluation scenarios to assess and monitor quality of implementations by the global research community through high impact open data benchmark shared tasks (BioCreative/IberLEF/CLEF). The...

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 main research line of ACAP group is in High Performance Computer Architecture, starting from hardware and streching into software. Recently, our principal activity is related to the European Processor Initiative, with the aim to design and manufacture a European HPC processor fully designed in Europe.

Our group is developing the vector processor...