Proyectos

Understanding, predicting, and discovering the properties and performance of materials is key to delivering the technologies that power our economy and allow for the sustainable development of our society. For this reason, materials simulations have become one of the most intensive and fast-growing domains for high-performance computing worldwide, with a recognized European...

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 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...

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...

Data has become one of the most valuable assets, driving the digital transformation across many sectors. Current data mining solutions are optimized to deal with specific data requirements, but fail to cope as the data characteristics become extreme. There is therefore an urgent need for novel and holistic approaches to enable the development, deployment and efficient...