Projects

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...

Seasonal Forecasts are critical tools for early-warning decision support systems, that can help reduce the related risk associated with hot or cold weather and other events that can strongly affect a multitude of socio-economic sectors. Recent advances in both statistical approaches and numerical modeling have improved the skill of Seasonal Forecasts. However, especially in...

The project aims to develop a computational platform for the 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...

The PPHA group focuses on the research of SW and HW solutions for the development, deployment and efficient execution of parallel and heterogeneous computing systems required to process huge amounts of data across the compute continuum, addressing edge, cloud and HPC. The group addresses the complete system stack: (1) HW solutions, by researching on highly parallel and energy...

The research group aims at performing research on hierarchical task-based parallel programming models to better exploit the current heterogeneous structure of High Performance Computing (HPC) systems and of large distributed computing systems. The approach considers an integrative approach of the programming model with a unified storage platform that will aggregate the...

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...

This group carries out activities related to performance analysis, simulation, emulation, and development of new libraries for emerging architectures. The group develops tools and models to monitor the use of resources and measure the performance in parallel and distributed HPC applications. These performance analysis tools provide detailed analysis capabilities to make it...

Our team explores the programming approaches for homogeneous and heterogeneous architectures, including the use of accelerators and distributed clusters. We propose the OmpSs programming model, a task-based approach. OmpSs seeks to improve programmability of applications in such environments, without sacrificing performance. We actively participate in the OpenMP standard...

This group is recently formed and organized in two teams, driven by leading experts in the fields of accelerator and memories for high-performance computing. Since 2017, the group members have publised 40+ peer-reviewed indexed articles, and have gained a Juan de la Cierva Felloswhip, a Marie Sklodowska-Curie Individual Fellowship, a Ramón y Cajal currently in place,...

Advancing education and training in High Performance Computing (HPC) and its applicability to HPDA and AI is essential forstrengthening the world-class European HPC ecosystem. It is of primary importance to ensure the digital transformation and thesustainability of high-priority economic sectors. Missing educated and skilled professionals in HPC/HPDA/AI could prevent...