Proyectos

El objetivo del proyecto ExpertisHE, es consolidar y ampliar el trabajo conseguido con su predecesor, PROMOTHE, y ayudar así al BSC-CNS a maximizar el retorno en el nuevo programa HE para financiar sus áreas de investigación, consolidar el área de apoyo a la investigación del centro y adaptarla a las nuevas exigencias, especialmente en...

In Astrophysics and Cosmology (A&C) today, High Performance Computing (HPC)-based numerical simulations are outstandinginstruments for scientific discovery. They represent essential tools and theoretical laboratories able to investigate, interpret and understand the physical processes behind the observed sky. For these laboratories, the efficient and effective...

The overall goal of the SECURED project is to scale up multiparty computation, data anonymization and synthetic data generation, by increasing efficiency and improving security, with a focus on private and unbiased artificial intelligence and data analytics, health related data and data hubs, and cross-border cooperation. The project will address the limitations that are...

This proposal shapes the next (third) phase of the ESiWACE Centre of Excellence. As the ability to run Earth system models at ~1km resolution efficiently on EuroHPC supercomputers has already been established in previous phases for specific model configurations, and as developments are now picked up by science-driven projects, this proposal will focus on the support of the...

The vision of CREXDATA is to develop a generic platform for real-time critical situation management including flexible action planning and agile decision-making on streaming data of extreme scale and complexity. CREXDATA develops the algorithmic apparatus, software architecturesand tools for federated predictive analytics and forecasting under uncertainty. The envisioned...

Life Science is becoming increasingly dependnt on data-driven and HPC research. BioTeam/Hyperion's 2022 estimates show that 95% of Life Science projects are dependent on HPC. The rapid response to Covid-19 showed how an EU collaboration between pharma industry, Life Science researchers and supercomputing centres resulted in several newly identified hits now undergoing...

For many centuries, scientific discovery relied on performing experiments and the subsequent deduction of new theoretical models.The advent of powerful computers, coupled with new and ever more efficient numerical algorithms, makes it possible to simulate complex systems with increasing realism, and to automatize even model discovery using artificial intelligence (AI)...

The MultiXscale Centre of Excellence will increase performance, productivity and portability (the Three P's) across the entire spectrum of scientists active in the domain of multiscale simulation. It couples the scientific expertise of the CECAM network, represented by leading experts in multiscale simulations from different European institutions, with the technical expertise...

As of today, 80% of the data processing and analysis occurs in cloud data centers, and only 20% of processing occurs at the edge. This incipient exploitation of edge resources increases time to value and prevents business processes, decisions, and intelligence from being taken outside of the data center, which prevents Europe from unlocking an entire set of new opportunities...

Plasma science has been at the forefront of HPC for several decades, driving and, at the same time, benefiting greatly from innovative hardware and software developments. The overall goal of Plasma-PEPSC is to take this development to the next level, enabling scientific breakthroughs in plasma science Grand Challenges through exascale computing and extreme-scale data...