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Energy-efficient SCalable Algorithms for weather and climate Prediction at Exascale

Objective

ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational numerical weather and climate prediction, and provide the key components for weather and climate domain benchmarks to be deployed on extreme-scale demonstrators and beyond. This will be achieved by developing bespoke and novel mathematical and algorithmic concepts, combining them with proven methods, and thereby reassessing the mathematical foundations forming the basis of Earth system models. ESCAPE-2 also invests in significantly more productive programming models for the weather-climate community through which novel algorithm development will be accelerated and future-proofed. Eventually, the project aims at providing exascale-ready production benchmarks to be operated on extreme-scale demonstrators (EsD) and beyond. ESCAPE-2 combines cross-disciplinary uncertainty quantification tools (URANIE) for high-performance computing, originating from the energy sector, with ensemble based weather and climate models to quantify the effect of model and data related uncertainties on forecasting – a capability, which weather and climate prediction has pioneered since the 1960s.
The mathematics and algorithmic research in ESCAPE-2 will focus on implementing data structures and tools supporting parallel computation of dynamics and physics on multiple scales and multiple levels. Highly-scalable spatial discretization will be combined with proven large time-stepping techniques to optimize both time-to-solution and energy-to-solution. Connecting multi-grid tools, iterative solvers, and overlapping computations with flexible-order spatial discretization will strengthen algorithm resilience against soft or hard failure. In addition, machine learning techniques will be applied for accelerating complex sub-components. The sum of these efforts will aim at achieving at the same time: performance, resilience, accuracy and portability.

Call for proposal

H2020-FETHPC-2017
See other projects for this call

Coordinator

EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS
Address
Shinfield Park
RG2 9AX Reading
United Kingdom
Activity type
Research Organisations
EU contribution
€ 767 548,75

Participants (11)

DEUTSCHES KLIMARECHENZENTRUM GMBH
Germany
EU contribution
€ 255 000
Address
Bundesstrasse 45A
20146 Hamburg
Activity type
Research Organisations
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Germany
EU contribution
€ 265 625
Address
Hofgartenstrasse 8
80539 Munchen
Activity type
Research Organisations
EIDGENOESSISCHES DEPARTEMENT DES INNERN
Switzerland
EU contribution
€ 439 750
Address
Inselgasse 1
3003 Bern
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
BARCELONA SUPERCOMPUTING CENTER-CENTRO NACIONAL DE SUPERCOMPUTACION
Spain
EU contribution
€ 232 500
Address
Calle Jordi Girona 31
08034 Barcelona
Activity type
Research Organisations
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France
EU contribution
€ 356 497,50
Address
Rue Leblanc 25
75015 Paris 15
Activity type
Research Organisations
LOUGHBOROUGH UNIVERSITY
United Kingdom
EU contribution
€ 359 000
Address
Ashby Road
LE11 3TU Loughborough
Activity type
Higher or Secondary Education Establishments
INSTITUT ROYAL METEOROLOGIQUE DE BELGIQUE
Belgium
EU contribution
€ 387 485
Address
Avenue Circulaire 3
1180 Bruxelles
Activity type
Research Organisations
POLITECNICO DI MILANO
Italy
EU contribution
€ 256 250
Address
Piazza Leonardo Da Vinci 32
20133 Milano
Activity type
Higher or Secondary Education Establishments
DANMARKS METEOROLOGISKE INSTITUT
Denmark
EU contribution
€ 307 000
Address
Lyngbyvej 100
2100 Kobenhavn
Activity type
Research Organisations
FONDAZIONE CENTRO EURO-MEDITERRANEOSUI CAMBIAMENTI CLIMATICI
Italy
EU contribution
€ 130 000
Address
Via A Imperatore 16
73100 Lecce
Activity type
Research Organisations
BULL SAS
France
EU contribution
€ 242 993,75
Address
Rue Jean Jaures 68
78340 Les Clayes Sous Bois
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)