High-Performance Computing Andrea Feltrin High Performance Computing and Quantum Technologies DG CONNECT European Commission

European HPC strategy in the cPPP Factories of the Future, Energy-efficient Buildings and Green Cars PPPs were first established in 2009 as a response to the economic crisis.

Performance optimisation The new European HPC research landscape SAGE ExaHYPE NLAFET NEXTGenIO ExaFLOW Memory & storage Mathematics ExCAPE ComPat ExaNEST READEX Algorithms ESCAPE ALLScale Interconnect Programming tools INTERTWINE HPC Ecosystem EXDCI Eurolab-4-HPC ECOSCALE ANTAREX ExaNoDe Compute Mont-Blanc 3 Data-intensive real-time Mango EXTRA GreenFLASH Centres of Excellence BioExcel COEGSS EoCoE E-CAM ESiWACE MAX NOMAD PoP Biomolecular Global systems Energy Simulation Modelling Weather Climate Materials Performance optimisation Project Start: Autumn 2015

HPC in science and industry Material science Computer Aided Engineering Reduces cost and time and allows experiments in environments where measurements are very difficult Design of novel materials with desired properties (mechanical, functional, …) Fluid dynamics and structural analysis

HPC in the public sector Earth system modelling International negotiations

The next challenge: exascale parallel processing today peta tera integrated circuits massive parallelism Performance giga mega Simulations are always approximate -> more computational power means more reliable simulations vacuum tubes transistors kilo 1960 1970 1980 1990 2000 2010 2020 Europe, USA, Japan and China are main global players in this race

Challenges to reach exascale System power Memory bandwidth and capacity are not keeping pace with the increase in flops Cost of data movement Programming model will be necessary to hide the level of concurrency from applications The I/O system at all levels will be much harder to manage Reliability and resiliency will be critical at the scale of billion-way concurrency