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Computing Patterns for High Performance Multiscale Computing

Objective

Multiscale phenomena are ubiquitous and they are the key to understanding the complexity of our world. Despite the significant progress achieved through computer simulations over the last decades, we are still limited in our capability to accurately and reliably simulate hierarchies of interacting multiscale physical processes that span a wide range of time and length scales, thus quickly reaching the limits of contemporary high performance computing at the tera- and petascale. Exascale supercomputers promise to lift this limitation, and in this project we will develop multiscale computing algorithms capable of producing high-fidelity scientific results and scalable to exascale computing systems. Our main objective is to develop generic and reusable High Performance Multiscale Computing algorithms that will address the exascale challenges posed by heterogeneous architectures and will enable us to run multiscale applications with extreme data requirements while achieving scalability, robustness, resiliency, and energy efficiency. Our approach is based on generic multiscale computing patterns that allow us to implement customized algorithms to optimise load balancing, data handling, fault tolerance and energy consumption under generic exascale application scenarios. We will realise an experimental execution environment on our pan-European facility, which will be used to measure performance characteristics and develop models that can provide reliable performance predictions for emerging and future exascale architectures. The viability of our approach will be demonstrated by implementing nine grand challenge applications which are exascale-ready and pave the road to unprecedented scientific discoveries. Our ambition is to establish new standards for multiscale computing at exascale, and provision a robust and reliable software technology stack that empowers multiscale modellers to transform computer simulations into predictive science.

Field of science

  • /engineering and technology/environmental engineering/waste management/energy efficiency

Call for proposal

H2020-FETHPC-2014
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

UNIVERSITEIT VAN AMSTERDAM
Address
Spui 21
1012WX Amsterdam
Netherlands
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 754 000

Participants (11)

UNIVERSITY COLLEGE LONDON
United Kingdom
EU contribution
€ 603 125
Address
Gower Street
WC1E 6BT London
Activity type
Higher or Secondary Education Establishments
INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK
Poland
EU contribution
€ 435 375
Address
Noskowskiego 12-14
61 704 Poznan
Activity type
Research Organisations
BAYERISCHE AKADEMIE DER WISSENSCHAFTEN
Germany
EU contribution
€ 423 375
Address
Alfons-goppel-strasse 11
80539 Muenchen
Activity type
Research Organisations
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Germany
EU contribution
€ 413 625
Address
Hofgartenstrasse 8
80539 Muenchen
Activity type
Research Organisations
UNIVERSITEIT LEIDEN
Netherlands
EU contribution
€ 370 710
Address
Rapenburg 70
2311 EZ Leiden
Activity type
Higher or Secondary Education Establishments
UNITED KINGDOM RESEARCH AND INNOVATION

Participation ended

United Kingdom
EU contribution
€ 0
Address
Polaris House North Star Avenue
SN2 1FL Swindon
Activity type
Research Organisations
ALLINEA SOFTWARE LIMITED

Participation ended

United Kingdom
EU contribution
€ 110 156,91
Address
Warwick Technology Park The Innovation Centre
CV34 6UW Warwick
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
CBK SCI CON LIMITED
United Kingdom
EU contribution
€ 128 125
Address
97 Tottenham Court Road, The Network Building
W1T 4TP London
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ITMO UNIVERSITY
Russia
EU contribution
€ 0
Address
Kronwerkskiy Prosp 49
197101 St Petersburg
Activity type
Higher or Secondary Education Establishments
BRUNEL UNIVERSITY LONDON
United Kingdom
EU contribution
€ 0
Address
Kingston Lane
UB8 3PH Uxbridge
Activity type
Higher or Secondary Education Establishments
ARM LIMITED
United Kingdom
EU contribution
€ 357 643,09
Address
110 Fulbourn Road
CB1 9NJ Cambridge
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)