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

2. 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.

3. 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

4. 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

5. HPC in the public sector
Earth system modelling
International negotiations

7. 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

8. 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