Regional Vision and Strategy The European HPC Strategy



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Regional Vision and Strategy The European HPC Strategy BDEC 29 January 2015 Augusto BURGUEÑO ARJONA Head of Unit einfrastructure - DG CONNECT European Commission @ABurguenoEU aburguenoeu.wordpress.com

Why Europe needs a HPC strategy?

HPC helps addressing big scientific, industrial and societal challenges and fosters innovation and business opportunities

Some trends. More computing cores in the chip at less energy requirements are profoundly changing the semiconductor industry and all end-user markets Cloud computing, Mobile devices and Apps, Social Technologies, Big Data Analytics today represent about 20% of global IT spending, growing 6 times faster than traditional IT (80% of the IT market by 2020) HPC is pushing the computing frontier (exascale) needed for new applications (e.g. Human Brain Project, Square Kilometre Array) Sustainable HPC : 100 times current computing power consuming 100 times less energy Europe consumes 30% of world HPC but supplies 5% Europe decreasing its score in top 500 world supercomputers (~20% and only 2 in top 10)

HPC is a strategic resource for the EU's future Computational Science is already the "third pillar" of science: Scientific endeavours increasingly rely on data, simulation and models. The most powerful supercomputers are needed to address scientific and societal grand challenges needing huge computing and data resources Industry relies more and more in HPC for innovation in products and services. Several of the most profitable and vibrant industrial sectors in Europe are big HPC users e.g.: manufacturing - 6,500 B of GDP and 30 million jobs-, oil & gas - 440B of GDP and 170K jobs-, pharmaceutical industry - 800B of GDP and 40% of EU worldwide market shares for medicine - 1,000B of public spending (10% of the EU s GDP)

Some examples Smart Cities Cyber-physical embedded systems and real time simulation and control for drinking/waste water, electricity consumption and distribution (e.g. Dalkia/Veolia, EDF) Propagation of electromagnetic waves for reducing power in antennas (Geomod) Health HPC for modelling instead of animal testing (e.g. L'Oreal, Rhenovia), Understanding the human (Virtual Phisiological Human, Human Brain Project Flagship) Transport Virtual prototyping, reducing time-to-market (Airbus, Renault, Porsche, etc) Big data analytics for finance (Paypal -online fraud detection-, Geco - real-time calculation of insurance quotes-, Amazon predictive purchase-), health (personalised medical diagnosis), Global System Science

7 The European HPC strategy and its implementation through Horizon 2020

An integrated HPC approach Excellent Science HPC strategy combining three elements: (a) (b) (c) Computer Science: towards exascale HPC; A special FET initiative focussing on the next generations of exascale computing as a key horizontal enabler for advanced modelling, simulation and big-data applications [HPC in Future and Emerging Technologies (FET)] providing access to the best supercomputing facilities and services for both industry and academia; PRACE - world-class HPC infrastructure for the best research [HPC in e-infrastructures] achieving excellence in HPC applications; Centres of Excellence for scientific/industrial HPC applications in (new) domains that are most important for Europe [HPC in e-infrastructures] Complemented with training, education and skills development in HPC

Interrelation between the strategy pillars "Excellent Science" part of H2020 Access to best HPC for industry and academia Excellent Science e-infrastructures specifications of exascale prototypes technological options for future systems EU development of Exascale technologies FET/HPC Collaboration of HPC Supercomputing Centres and application CoEs provision of HPC capabilities and expertise Excellence in HPC applications (Centres of Excellence) Excellent Science e-infrastructures identify applications for codesign of exascale systems Innovative methods and algorithms for extreme parallelism of traditional/ emerging applications

HPC Overall strategy Horizon 2020 WP2014-15 HIGH PERFORMANCE COMPUTING PRACE-4IP (15 m ) Pan-European HPC Infrastructure HPC Capability HPC Services Support to innovation Training Education Skills Exascale technologies Architectures, programming. environments, tools Exascale Prototypes Core technologies (93,4 m ) Flagship Applications (HBP) Applications Societal challenges Scientific strategic applications Emerging domains (Big Data) New methods and algorithms Ecosystem development (4 m ) Clouds for Science Centres of Excellence (40 m ) SMEs Services, Competence Centres ADVANCED COMPUTING CLOUDS Network of SME competence centres (2 m )

Public Private Partnership (PPP) in HPC 11

PPPs in Horizon 2020 1. Public-Private Partnerships (PPP) where all the partners concerned commit to support the development and implementation of R&I activities of strategic importance to the Union. 2. The Union has established the following contractual PPPs: Factories of the Future (FoF) Energy-efficient Buildings (EeB), European Green Vehicles Initiative (EGVI), Sustainable Process Industry (SPIRE), Future Internet - Advanced 5G network (5G) Robotics, Photonics HPC with ETP4HPC platform (January 2014) Big Data Value Chain, with Big Data Value Association (January 2015) 12

PPP in HPC: General objectives To build a European world-class HPC technology value chain that is globally competitive - synergy between technology development, applications and computing infrastructure To achieve a critical mass of convergent resources in order to increase the competitiveness of European HPC vendors and solutions To leverage the transformative power of HPC to boost European competitiveness in science and business To expand the HPC base, especially SMEs (both as users and suppliers of competitive HPC technology solutions) To develop a EU leadership and world-wide excellence in key application domains for industry, science and society

Interrelation between the strategy pillars "Excellent Science" part of H2020 Access to best HPC for industry and academia Excellent Science e-infrastructures specifications of exascale prototypes technological options for future systems EU development of Exascale technologies FET/HPC Collaboration of HPC Supercomputing Centres and application CoEs provision of HPC capabilities and expertise Excellence in HPC applications (Centres of Excellence) Excellent Science e-infrastructures identify applications for codesign of exascale systems Innovative methods and algorithms for extreme parallelism of traditional/ emerging applications PPP with ETP4HPC (700 m in Horizon2020)

15 Next steps in Horizon 2020

Next steps in Horizon 2020 1. WP2016-2017 (work in progress) Support to implementation of the Pan-European HPC infrastructure (PRACE 2.0?) Support to procurement of innovative solutions in HPC (PPI) Core technologies towards exascale (PPP in HPC) HPC platform of the Human Brain Project (HBP) Establishment of first Centres of Excellence (end 2015) 1. Study to follow the progress on the implementation of the European HPC strategy (mid-2015) HPC market and HPC R&I landscape in the EU Impact and the return on HPC investments in innovation and economic progress and growth in the EU. Status of the implementation of the HPC Communication Action Plan Report to Parliament and Council on European HPC strategy (end 2015) 16

THANK YOU!