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MareNostrum Experimental Exascale Platform (MEEP)

MEEP logo with mosaic bird

 

Project coordinator:  Barcelona Supercomputing Centre (BSC)
Start date: 1 January 2020
Duration: 3 years
Total budget: € 10 million
Participating organisations: 
  1. University of Zagreb, Faculty of Electrical Engineering and Computing, CROATIA
  2. The Scientific and Technological research council of Turkey, TURKEY
Website:  https://meep-project.eu/ 

MEEP is an exploratory platform, flexible FPGA (field-programmable gate array) based emulation, to develop, integrate, test and co-design hardware and software for exascale supercomputers and other hardware targets, based on European-developed intellectual property (IP).

MEEP provides two important functions:

  • an evaluation platform of pre-silicon IP and ideas, at speed and scale;
  • software development and experimentation platform to enable software readiness for new hardware.

MEEP enables software development, accelerating software maturity, compared to the limitations of software simulation. IP can be tested and validated before moving to silicon, saving time and money.

The objectives of MEEP are to leverage and extend projects like the European Processor Initiative (EPI) and the Performance Optimisation and Productivity Centre of Excellence (POP CoE).

The ultimate goal of the project is to create an open full-stack ecosystem that can be used for academic purposes and integrated into a functional accelerator or cores for traditional and emerging HPC applications. 

EuroCC

EuroCC logo in white on a black background

 

Project coordinator:  High-Performance Computing Centre Stuttgart (HLRS)
Start date: 1 September 2020
Duration: 2 years
Total budget: € 57 million
Participating organisations: 
  1. Universität Stuttgart (USTUTT) GERMANY,
  2. Gauss Centre for Supercomputing (GCS) GERMANY,
  3. Institute of Information and Communication Technologies at Bulgarian Academy of Sciences (IICT-BAS) BULGARIA,
  4. Universität Wien (UNIVIE) AUSTRIA,
  5. University of Zagreb University Computing Centre (SRCE) CROATIA,
  6. Computation-based Science and Technology Research Center, The Cyprus Institute (CaSToRC-CyI) CYPRUS,
  7. IT4Innovations National Supercomputing Center, VSB – Technical University of Ostrava (IT4I) CZECH REPUBLIC,
  8. Technical University of Denmark (DTU) DENMARK,
  9. University of Tartu HPC Center (UTHPC) ESTONIA,
  10. CSC – IT Center for Science Ltd (CSC) FINLAND,
  11. National Infrastructures for Research and Technology S.A. (GRNET S.A.) GREECE,
  12. Kormányzati Informatikai Fejlesztési Ügynökség (KIFÜ) HUNGARY,
  13. National University of Ireland, Galway – Irish Centre for High-End Computing (ICHEC) IRELAND,
  14. CINECA – Consorzio Interuniversitario ITALY,
  15. Vilnius University (LitGrid-HPC) LITHUANIA,
  16. Riga Technical University (RTU) LATVIA,
  17. UNINETT Sigma2 AS (Sigma2) NORWAY,
  18. Norwegian Research Centre AS (NORCE) NORWAY,
  19. SINTEF AS NORWAY,
  20. Academic Computer Centre Cyfronet AGH (CYFRONET) POLAND,
  21. Fundação para a Ciência e a Tecnologia (FCT) PORTUGAL,
  22. National Institute for Research-Development in Informatics – ICI Bucharest (ICIB) ROMANIA,
  23. Academic and Research Network of Slovenia (ARNES) SLOVENIA,
  24. Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC) SPAIN,
  25. Uppsala University (UU) SWEDEN,
  26. Eidgenössische Technische Hochschule Zürich (ETH Zurich) SWITZERLAND,
  27. The Scientific and Technological Research Council of Turkey (TUBITAK) TURKEY,
  28. The University of Edinburgh (EPCC) UNITED KINGDOM,
  29. TERATEC FRANCE,
  30. SURFSARA BV THE NETHERLANDS,
  31. Centre de recherche en aéronautique a.s.b.l. (Cenaero) BELGIUM,
  32. Luxinnovation GIE (LXI) LUXEMBOURG,
  33. Center of Operations of the Slovak Academy of Sciences (CC SAS) SLOVAK REPUBLIC,
  34. University of Ss. Cyril and Methodius, Faculty of computer science and engineering (UKIM) REPUBLIC OF NORTH MACEDONIA,
  35. Háskóli Íslands – University of Iceland (UICE)  ICELAND,
  36. University of Donja Gorica (UDG) MONTENEGRO

Website:

https://www.eurocc-project.eu/

EuroCC aims to build a European network of 33 national HPC competence centres to bridge the existing HPC skills gaps while promoting cooperation across Europe.

To do so, each participating countries are tasked with establishing a single National Competence Centre (NCC) in the area of HPC in their respective countries. These NCCs will coordinate activities in all HPC-related fields at the national level and serve as a contact point for customers from industry, science, (future) HPC experts, and the general public alike. 

Each of the 33 national competence centres will act locally to map available HPC competencies and identify existing knowledge gaps. The competence centres will coordinate HPC expertise at national level and ease access to European HPC opportunities for research and scientific users, public administration but also in different industrial sectors, delivering tailored solutions for a wide variety of users.

CASTIEL

CASTIEL Logo

 

Project coordinator:

High-Performance Computing Centre Stuttgart (HLRS)
Start date: 1 September 2020
Duration: 2 years
Total budget:  € 2 million
Participating organisations: 
  1. Universität Stuttgart (USTUTT) GERMANY,
  2. Gauss Centre for Supercomputing e.V. (GCS) GERMANY,
  3. CINECA Consorzio Interuniversitario ITALY,
  4. TERATEC FRANCE,
  5. Barcelona Supercomputing Center – Centro Nacional De Supercomputación (BSC) SPAIN,
  6. Partnership for Advanced Computing in Europe AISBL (PRACE) BELGIUM
Website: https://www.castiel-project.eu/

The Coordination and Support Action (CSA) CASTIEL promotes interaction and exchange between National Competence Centres (NCCs) in HPC-related topics addressed through the EuroCC project.

CASTIEL emphasises training, industrial cooperation, business development, raising awareness of HPC-related technologies and expertise. As a hub for information exchange and training, CASTIEL promotes networking among NCCs and strengthens idea exchange by developing best practices. The identification of synergies, challenges, and possible solutions is implemented through the close cooperation of the NCCs at a European level.

 

FF4EuroHPC

FF4EuroHPC Logo
Project coordinator: University of Stuttgart 
Start date: 1 September 2020
Duration: 3 years
Total budget: € 9.9 million
Participating organisations: 
  1. Scapos AG, GERMANY
  2. Teratec, FRANCE
  3. CINECA, Consorzio Interuniversitario, ITALY
  4. CESGA, Centro de Supercomputación de Galicia, SPAIN 
  5. Arctur, SLOVENIA
Website:

https://www.ff4eurohpc.eu/

FF4EuroHPC aims at boosting the innovation potential and competitiveness of SMEs by facilitating access to HPC-related technologies and expertise. 

Whether it is running high-resolution simulations, doing large-scale data analyses, or incorporating AI applications into SMEs´ workflows, FF4EuroHPC connects business with cutting-edge technologies to develop unique products, innovative business opportunities and become more competitive.

Two open calls will be offered through the project, targeting the highest quality experiments involving innovative, agile SMEs. Proposals will address business challenges from European SMEs from varied application domains. Experiments that will be successful in open call will be carried out on HPC systems, clustered in two tranches. An experiment is an end-user-relevant case study demonstrating the use of HPC and the benefits it brings to the value chain from product design to the end-user. Experiments must address SME business problems by using HPC and complementary technologies such as High Performance Data Analytics (HPDA) and Artificial Intelligence (AI). 

LIGATE

Provisional logo of LIGATE

Project coordinator:  Dompé farmaceutici S.p.A. (Dompé)
Start date: 1 January 2021
Duration: 3 years
Total budget: € 5,9 million
Participating organisations:
  1. Politecnico di Milano, ITALY
  2. CINECAConsorzio Interuniversitario ITALY
  3. Kungliga Tekniska Högskolan, SWEDEN
  4. Università degli Studi di Salerno (UNISA), ITALY 
  5. Universität Innsbruck, AUSTRIA 
  6. E4 Computer Engineering SpA, ITALY 
  7. Chelonia SA, SWITZERLAND 
  8. tofmotion GmbH, AUSTRIA
  9. Vysoka Skola Banska - Technicka Univerzita Ostrava,CZECH REPUBLIC
  10. Universität Basel, SWITZERLAND 
Website: https://www.ligateproject.eu/

Today digital revolution is having a dramatic impact on the pharmaceutical industry and the entire healthcare system. The implementation of machine learning, extreme scale computer simulations, and big data analytics in the drug design and development process offer an excellent opportunity to lower the risk of investment and reduce the time to patent and time to patient.

LIGATE aims to integrate and co-design best in class European open-source components together with European Intellectual Properties (whose development has already been co-funded by previous Horizon 2020 projects). It will support Europe to keep worldwide leadership on Computer-Aided Drug Design (CADD) solutions, exploiting today’s high-end supercomputers and tomorrow’s exascale resources, while fostering the European competitiveness in this field.  The project will enhance the CADD technology of the drug discovery platform EXSCALATE.

The proposed LIGATE solution enables to deliver the result of a drug design campaign with the highest speed along with the highest accuracy. This predictability, together with the fully automation of the solution and the availability of the exascale system, will let run the full in silico drug discovery campaign in less than one day to respond promptly for example to worldwide pandemic crisis. The platform will also support European projects in repurposing drugs, natural products and nutraceuticals with therapeutic indications to answer high unmet medical needs like rare, metabolic, neurological and cancer diseases, and emerging ones as new non infective pandemics.  

Since the evolution of HPC architectures is heading toward specialization and extreme heterogeneity, including future exascale architectures, the LIGATE solution focuses also on code portability with the possibility to deploy the CADD platform on any available type of architecture in order not to have a legacy in the hardware.

The project plans to make the platform available and open to support the discovery a novel treatment to fight virus infections and multidrug-resistant bacteria. The project will also make available to the research community the outcome of a final simulation. 

 

SCALABLE

Logo of SCALABLE
Project coordinator:  CS GROUP - FRANCE 
Start date: 1 January 2021
Duration: 3 years
Total budget: € 3 million
Participating organisations:
  1. Friedrich-Alexander-Universität Erlangen-Nürnberg, GERMANY
  2. Centre européen de recherche et de formation avancée en calcul scientifique, FRANCE
  3. Forschungszentrum Jülich, GERMANY
  4. Neovia Innovation, FRANCE 
  5. Vysoka Skola Banska - Technicka Univerzita Ostrava,CZECH REPUBLIC
  6. AIRBUS OPERATIONS GMBH, GERMANY
  7. RENAULT SAS FRANCE 
Website: http://scalable-hpc.eu/

In SCALABLE, eminent industrials and academic partners will team up to improve the performance, scalability, and energy efficiency of an industrial LBM-based computational fluid dynamics (CFD) software. The project will directly benefit the European industry, while contributing to fundamental research.

Lattice Boltzmann methods (LBM) have already evolved to become trustworthy alternatives to conventional CFD. In several engineering applications, they are shown to be roughly an order of magnitude faster than Navier-Stokes approaches in a fair comparison and in comparable scenarios. In the context of EuroHPC, LBM is especially well suited to exploit advanced supercomputer architectures through vectorization, accelerators, and massive parallelization.

SCALABLE will make the most of two already existing CFD tools (waLBerla and LaBS, the ProLB software), breaking the silos between the scientific computing world and physical flow modelling world, to deliver improved efficiency and scalability for the upcoming European Exascale systems. In the public domain research code waLBerla, superb performance and outstanding scalability has been demonstrated, reaching more than a trillion lattice cells already on Petascale systems. waLBerla performance excels because of its uncompromising unique, architecture-specific automatic generation of optimized compute kernels, together with carefully designed parallel data structures.