Projects

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...

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...

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...