The annual SURFsara Super Day connects science and technology. Learn more about the latest mind-blowing opportunities that high performance computing and data technology can offer you in scientific research.
The speakers of Super Day 2019 (more to follow)
Keynote - Maria Girone
Tackling tomorrow’s Computing Challenges today at CERN
To meet the future computing challenges at CERN, the HEP community must carry out thorough computing and software R&D programs to take advantage of new hardware, industry trends and emerging technologies.
High-energy physics (HEP) has long been a driver in processing enormous scientific datasets and in managing the largest high-throughput computing centers. These demands will increase with the next-generation “High-Luminosity” LHC in 2026. Maria Girone will discuss the approaches under consideration, including the deployment of resources through HPC and commercial clouds, and exploring new techniques, such as alternative computing architectures, advanced data analytics, and deep learning.
Maria Girone is the Chief Technology Officer at CERN Openlab. Maria has a PhD in particle physics and extensive knowledge in high performance and high throughput computing. She has held several leadership positions including that of Computing Coordinator for CMS Experiment and Head of Operations of the Worldwide LHC Computing Grid (WLCG).
Keynote - Peter Coveney
The Use of Supercomputers for High Fidelity, Actionable Predictions
At exascale we shall be able to perform bigger, better, faster. Different kinds of research and simulations will also be possible, such as ‘virtual humans’.
High-end supercomputers are comprised of large numbers of nodes, themselves becoming increasingly heterogeneous in nature being composed of multiple cores and accelerators. This permits a wide range of computing patterns to be deployed, taking us way beyond the traditional model for the use of supercomputers for purely monolithic applications running on large node counts.
Instead, these patterns facilitate new kinds of science ranging from advanced materials design and discovery to personalised medicine. Calculations can now be run at an extreme scale and throughput; when endowed with a form of virtual certification, they become actionable, in the sense that key decisions, for example in experimental, industrial or clinical settings, can be taken based on their predictions. I shall illustrate these emerging capabilities by drawing on a number of examples taken from our own research.
Peter Coveney is Professor of Physical Chemistry and Director of the Centre for Computational Science (CCS) at University College London (UCL), and Professor of Applied High Performance Computing at the University of Amsterdam. He is also Honorary Professor of Computer Science at UCL and Professor Adjunct at Yale University, School of Medicine. Coveney’s wide-ranging work exploits supercomputers for multiscale virtual human cardiovascular simulations, molecular dynamics for applications in drug discovery and personalised medicine, and multiscale modelling for the discovery of advanced materials. Coveney leads the international CompBioMed project, that SURFsara participates in. This European Commission H2020 funded Centre of Excellence focuses on the use and development of computational methods for biomedical applications.