Abstract
This keynote will provide a reflection on the evolution of supercomputing technology with respects to the needs. Looking at the PRACE “Scientific Case for Computing in Europe 2018 – 2026”, ETP4HPC “Strategic Research Agenda” (1), and Europe EURO-HPC (4) plans we will try to establish a matching between emerging computer architectures and the software stacks. Major actors such as US, China, Japan, Europe, ASEAN compete in the Exaflop race driven by the top500, the famous ranking of supercomputers. Everybody nowadays admits that the underlying benchmark (Linpack) does not reflect the diversity of the needs, nor the different dimensions of the problematic that include number crunching, but also memory size and communication speed. These two last dimensions become crucial when dealing with big data analytics fed by ubiquitous sensor networks. Lately Artificial Intelligence (AI) techniques such as machine learning and in particular artificial neural networks (e.g. deep learning) were largely advertised in this context. How will next generation of supercomputers respond to the needs of computational science and AI? What are the consequences for research and development in computer science?

Biography:
Prof. Dr. Bouvry is a full Professor at the University of Luxembourg, “Chargé de Mission auprès du Recteur” in charge of the University High Performance Computing service, and heading the PCOG (Parallel Computing and Optimization Group) at the SnT. Prof. Dr. Pascal Bouvry is active in various scientific committees and technical workgroups (IEEE CIS Cloud Computing vice-chair, IEEE TCSC GreenIT steering committee, ERCIM WG, ANR, COST TIST, etc.). Prof. Dr. Bouvry is the Luxembourg national delegate for PRACE (Partnership for Advanced Computing in Europe). The mission of PRACE is to enable high impact scientific discovery and engineering research and development across all disciplines to enhance European competitiveness for the benefit of society. Prof. Dr. Bouvry is part of the editorial boards of IEEE Transactions on Sustainable Computing, Springer journal on Communications and Sustainable Computing, IET Cyber- Physical Systems: Theory & Applications, and Elsevier journal in Swarm and Evolutionary Computation.