with Sandro Fiore
Over the last two decades, scientific discovery has become increasingly driven by the large availability of data from a multitude of sources (including, among others, simulations, observations and network of sensors) and the need to integrate, process and analyze them properly. In such a Digital Continuum, High Performance Computing can be considered a central element as it serves heterogeneous computing needs (from simulation towards machine/deep learning and artificial intelligence) to tackle scientific and engineering challenges.
In such a dynamic landscape, where compute, network and data are integral part of the same ecosystem, HPC innovation is a key enabler for advanced computing at scale.
The session will highlight the innovation role of HPC in the Digital Continuum and how it can accelerate scientific discovery through the entire data lifecycle by exploiting heterogeneous supercomputing infrastructures.
Sandro Fiore, Ph.D., is Associate Professor at the Department of Information Engineering and Computer Science of the University of Trento and lecturer at the School of Innovation (Trento). His research activity focuses on data science and learning, scientific data management and big data applied to climate change in extreme-scale HPC environments.
Formerly at the Euro-Mediterranean Center on Climate Change (CMCC) Foundation he was involved in the Advanced Scientific Computing Division and the Data Science Research Team working on Climate Informatics.He has been Visiting Scientist at Lawrence Livermore National Laboratory (LLNL) and at the University of Chicago working on climate data management at scale. He is editor of the book Grid and Cloud Database Management and co-author of The International Exascale Software Project roadmap.