Giuliano Taffoni

PhD in Astrophysics and author of over 100 refereed papers, invited reviews, conference and technical papers. He participated in more than 20 national and international projects on HPC and Cloud with main lead responsibility roles. He coordinated the scientific applications WP activity of ExaNest Project and he is the INAF coordinator of EuroEXA and ESCAPE projects. He is the chair of the Grid and Web Services working group in IVOA. He is the manager of the HPC Infrastructure for Euclid Italian SDC and of INAF-OATs HPC/HTC computing facilities, he is a member of the Scientific Directorate ICT Office Advisory Board of INAF. Since 2008 he is a researcher at INAF in Trieste and he is a lecturer of advanced computing at master degree in Data Science and Scientific Computing and at the Physics Department of the University of Trieste

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Affiliation – INAF - OATs Position – Technology Researcher Twitter – gtaff


All the shades of the Cloud

Cloud computing is a powerful technology that in the last decades revolutionized computing and storage in particular for Industry and Private Sectors. Today, large investments are on-going to build public Cloud Infrastructure at National or International level (e.g. the European Open Science Cloud Initiative). Also, scientists are approaching commercial and public Clouds at different scales: single researchers test the clouds for small research projects, at the same time large international collaborations are evaluating Cloud technology to collect, process, analyze, archive and curate their data.
The experience of large scientific instruments in the last years demonstrates how experiments are critically dependent on computing, data processing and storage infrastructures and our ability to utilise them through codes and algorithms. This will become more and more important with the advent of new class instruments (e.g. SKA, CTA, LSST, EUCLID) where new computational challenges will be faced. This will lead to the use of new infrastructures where exascale HPC and Clouds will converge to answer new challenges of (Big-) data analysis and (Big-) data analytics (HPDA).
New technologies (e.g. containerization) are driving the convergence of these “worlds” and the advent of science platforms as mean to access data, storage and computing (but also software and algorithms) is facilitating the use of cloud at different scales.

In this talk, I will discuss the actual use of Cloud in Astrophysics at different scale using some examples and I will present future trends and possibilities that the use of cloud computing and its convergence with HPC will open: from HTC to HPDA, from scientific computing to data analytics.