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ESCAPE-2 SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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 ESCAPE-2 project word cloud

Explore the words cloud of the ESCAPE-2 project. It provides you a very rough idea of what is the project "ESCAPE-2" about.

combines    computation    resilience    tools    proven    structures    accelerating    combined    components    accuracy    escape    capability    learning    models    reassessing    model    disciplinary    climate    parallel    originating    iterative    portability    sub    dynamics    performance    scales    community    techniques    exascale    prediction    spatial    flexible    weather    supporting    bespoke    mathematical    machine    pioneered    solution    programming    foundations    sum    domain    scalable    data    algorithm    invests    algorithmic    levels    soft    stepping    1960s    operated    mathematics    benchmarks    earth    basis    extreme    energy    accelerated    strengthen    computations    optimize    proofed    ensemble    efforts    world    ready    time    overlapping    quantification    thereby    uranie    at    class    hard    forecasting    esd    combining    productive    significantly    implementing    forming    numerical    connecting    multiple    cross    solvers    effect    quantify    discretization    physics    grid    demonstrators    computing   

Project "ESCAPE-2" data sheet

The following table provides information about the project.

Coordinator
EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS 

Organization address
address: SHINFIELD PARK
city: READING
postcode: RG2 9AX
website: www.ecmwf.int

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 3˙999˙650 €
 EC max contribution 3˙999˙650 € (100%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETHPC-2017
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS UK (READING) coordinator 767˙548.00
2    EIDGENOESSISCHES DEPARTEMENT DES INNERN CH (BERN) participant 439˙750.00
3    INSTITUT ROYAL METEOROLOGIQUE DE BELGIQUE BE (BRUXELLES) participant 387˙485.00
4    LOUGHBOROUGH UNIVERSITY UK (LOUGHBOROUGH) participant 359˙000.00
5    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) participant 356˙497.00
6    DANMARKS METEOROLOGISKE INSTITUT DK (KOBENHAVN) participant 307˙000.00
7    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (MUENCHEN) participant 265˙625.00
8    POLITECNICO DI MILANO IT (MILANO) participant 256˙250.00
9    DEUTSCHES KLIMARECHENZENTRUM GMBH DE (HAMBURG) participant 255˙000.00
10    BULL SAS FR (LES CLAYES SOUS BOIS) participant 242˙993.00
11    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 232˙500.00
12    FONDAZIONE CENTRO EURO-MEDITERRANEOSUI CAMBIAMENTI CLIMATICI IT (LECCE) participant 130˙000.00

Map

 Project 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.

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The information about "ESCAPE-2" are provided by the European Opendata Portal: CORDIS opendata.

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