Horizon 2020 - High Performance Computing, first projects funded

New HPC projects and centres of excellence will receive 140 million of euros in Horizon 2020


High Performance Computing

Supercomputing, also called High Performance Computing (HPC), allows critical sectors to solve life-saving challenges, like predicting extreme weather conditions or reducing from months to hours the time for analyse genetic diseases and point to a diagnostic.

Supercomputing is one of the contributors to the Digital Single Market strategy aiming to adapt Europe's economy and society to the digital age. A study, published by the European Commission, shows that Europe has made big progress in the past 5 years in using supercomputers.


In Horizon 2020, the European Commission will invest 700 million of euros through the Public-Private Partnership on HPC (HPC cPPP). The newly launched projects (21) and centres of excellence (8) will receive 140 million of euros to address challenges, such as increasing the energy efficiency of HPC systems:


  • ALLScale - An Exascale Programming, Multi-objective Optimisation and Resilience Management Environment Based on Nested Recursive Parallelism
  • ANTAREX - AutoTuning and Adaptivity appRoach for Energy efficient eXascale HPC systems
  • ComPat - Computing Patterns for High Performance Multiscale Computing
  • ECOSCALE - Energy-efficient Heterogeneous COmputing at exaSCALE
  • ESCAPE- Energy-efficient SCalable Algorithms for weather Prediction at Exascale
  • ExaFLOW - Enabling Exascale Fluid Dynamics Simulations
  • ExaHyPe - An Exascale Hyperbolic PDE Engine
  • ExaNest - European Exascale System Interconnect and Storage
  • ExaNode - European Exascale Processor Memory Node Design
  • ExCape - Energy-efficient SCalable Algorithms for weather Prediction at Exascale
  • EXTRA - Exploiting eXascale Technology with Reconfigurable Architectures
  • greenFLASH - Green Flash, energy efficient high performance computing for real-time science
  • INTERTWInE - Programming Model INTERoperability ToWards Exascale
  • MANGO - Exploring Manycore Architectures for Next-GeneratiOn HPC systems
  • MontBlanc-3 - European scalable and power efficient HPC platform based on low-power embedded technology
  • NextGenIO - Next Generation I/O for Exascale
  • NLAFET - Parallel Numerical Linear Algebra for Future Extreme-Scale Systems
  • READEX - Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing
  • SAGE - Percipient StorAGe for Exascale Data Centric Computing
  • EXDCI - European eXtreme Data and Computing Initiative
  • Eurolab-4-HPC - Foundations of a European Research Center of Excellence in High Performance Computing Systems

Centres of excellence

  • EoCoE -Energy oriented Centre of Excellence for computer applications
  • BioExcel -Centre of Excellence for Biomolecular Research
  • NoMaD -The Novel Materials Discovery Laboratory
  • MaX -Materials design at the eXascale
  • ESiWACE - Excellence in SImulation of Weather and Climate in Europe
  • E-CAM - An e-infrastructure for software, training and consultancy in simulation and modelling
  • POP - Performance Optimisation and Productivity
  • COEGSS -Center of Excellence for Global Systems Science

Simulations and numerical experiments performed on HPC systems will give us a better insight into how gases and liquids flow, while deepening our understanding of climate change, the human brain, new materials, earthquake dynamics and seismic wave propagation, or study extreme events such as collision of stars in deep space.

The HPC cPPP is based on the Contractual Arrangement (CA) signed in December 2013, by European Commission (EC) Vice-President and European Commissioner for Digital Agenda on behalf of the public side, and the European Technology Platform for High Performance Computing (ETP4HPC) Association representatives on behalf of the private side.

The HPC cPPP's main goals and high-level objectives are to:

  • develop the next generation of HPC technologies, applications and systems towards exascale,
  • achieve excellence in HPC applications delivery and use

 Photo credit: ibmphoto24 / Foter / CC BY-NC-ND