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ESCAPE

Energy-efficient SCalable Algorithms for weather Prediction at Exascale

Total Cost €

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EC-Contrib. €

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Partnership

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 ESCAPE project word cloud

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

time    efficient    processor    arises    frontier    numerical    resiliency    prediction    computing    sme    biggest    compute    etp4hpc    accelerators    leader    combining    breaking    ecmwf    special    interdisciplinary    actions    exacerbated    encapsulating    drivers    energy    algorithm    redress    fundamentally    ground    extreme    physical    arrangements    tight    software    minimizing    blocks    necessarily    optimization    huge    units    start    imbalance    requisite    skills    building    climate    holistic    teaming    weather    complementary    optimal    performance    university    simulations    entirely    companies    innovation    adapt    ill    regional    synthesizing    excellent    fundamental    equipped    subsequent    efforts    schedules    services    centres    models    class    hardware    earth    efficiency    forecasting    underlying    reform    algorithmic    world    nwp    phenomena    architectures    global    heterogeneous    escape    dwarfs    sra    simulate    co    solution   

Project "ESCAPE" 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]
 Project website http://www.hpc-escape.eu
 Total cost 3˙977˙952 €
 EC max contribution 3˙977˙952 € (100%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETHPC-2014
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-10-01   to  2018-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS UK (READING) coordinator 702˙185.00
2    INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK PL (POZNAN) participant 475˙500.00
3    EIDGENOESSISCHES DEPARTEMENT DES INNERN CH (BERN) participant 395˙375.00
4    NATIONAL UNIVERSITY OF IRELAND GALWAY IE (Galway) participant 367˙960.00
5    OPTALYSYS UK (PONTEFRACT) participant 333˙750.00
6    INSTITUT ROYAL METEOROLOGIQUE DE BELGIQUE BE (BRUXELLES) participant 312˙500.00
7    LOUGHBOROUGH UNIVERSITY UK (LOUGHBOROUGH) participant 293˙657.00
8    METEO-FRANCE FR (SAINT MANDE CEDEX) participant 293˙175.00
9    DANMARKS METEOROLOGISKE INSTITUT DK (KOBENHAVN) participant 275˙610.00
10    BULL SAS FR (LES CLAYES SOUS BOIS) participant 269˙280.00
11    NVIDIA SWITZERLAND AG CH (ZURICH) participant 193˙335.00
12    DEUTSCHER WETTERDIENST DE (OFFENBACH AM MAIN) participant 65˙625.00

Map

 Project objective

'ESCAPE will develop world-class, extreme-scale computing capabilities for European operational numerical weather prediction (NWP) and future climate models. The biggest challenge for state-of-the-art NWP arises from the need to simulate complex physical phenomena within tight production schedules. Existing extreme-scale application software of weather and climate services is ill-equipped to adapt to the rapidly evolving hardware. This is exacerbated by other drivers for hardware development, with processor arrangements not necessarily optimal for weather and climate simulations. ESCAPE will redress this imbalance through innovation actions that fundamentally reform Earth-system modelling. ESCAPE addresses the ETP4HPC SRA 'Energy and resiliency' priority topic, developing a holistic understanding of energy-efficiency for extreme-scale applications using heterogeneous architectures, accelerators and special compute units. The three key reasons why this proposal will provide the necessary means to take a huge step forward in weather and climate modelling as well as interdisciplinary research on energy-efficient high-performance computing are: 1) Defining and encapsulating the fundamental algorithmic building blocks ('Weather & Climate Dwarfs') underlying weather and climate services. This is the pre-requisite for any subsequent co-design, optimization, and adaptation efforts. 2) Combining ground-breaking frontier research on algorithm development for use in extreme-scale, high-performance computing applications, minimizing time- and cost-to-solution. 3) Synthesizing the complementary skills of all project partners. This includes ECMWF, the world leader in global NWP together with leading European regional forecasting consortia, teaming up with excellent university research and experienced high-performance computing centres, two world-leading hardware companies, and one European start-up SME, providing entirely new knowledge and technology to the field. '

 Deliverables

List of deliverables.
Dissemination workshop I Websites, patent fillings, videos etc. 2019-07-25 13:11:58
Dissemination final assembly Websites, patent fillings, videos etc. 2019-07-25 13:11:58
Development of the flexible data structure framework Atlas Other 2019-07-25 13:11:58
Batch 1: Definition of several Weather & Climate Dwarfs Other 2019-07-25 13:11:57
Report on the performance portability demonstrated for the relevant Weather & Climate Dwarfs Documents, reports 2019-07-25 13:11:57
Dissemination workshop II Websites, patent fillings, videos etc. 2019-07-25 13:11:58
Exploitation Plan after closure Documents, reports 2019-07-25 13:11:58
Report summarizing additional key features required for different directives based porting Documents, reports 2019-07-25 13:11:57
Performance report and optimized implementation of Weather & Climate Dwarfs on GPU, MIC Documents, reports 2019-07-25 13:11:57
Recommendations and specifications for data scope analysis tools Documents, reports 2019-07-25 13:11:57
Summer school Websites, patent fillings, videos etc. 2019-07-25 13:11:57
Projections of achievable performance for Weather & Climate Dwarfs Documents, reports 2019-07-25 13:11:57
Report on workflow analysis for specific LAM applications Documents, reports 2019-07-25 13:11:57
Undergraduate training facility Websites, patent fillings, videos etc. 2019-07-25 13:11:58
Atlas library version under an open source license Other 2019-07-25 13:11:57
Batch 2: Definition of novel Weather & Climate Dwarfs Other 2019-07-25 13:11:57
Web portal Websites, patent fillings, videos etc. 2019-07-25 13:11:57
Final report Documents, reports 2019-07-25 13:11:57
Report on energy-efficiency evaluation of several NWP model configurations Documents, reports 2019-07-25 13:11:57

Take a look to the deliverables list in detail:  detailed list of ESCAPE deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Peter Bauer, Nils Wedi, Michael Baldauf, Pierre Benard, Oliver Fuhrer, Michal Kulczewski, Alastair McKinstry, Peter Messmer, Nick New, Bent HansenSass, Joanna Szmelter, Piet Termonia, Xavier Vigouroux
Energy-efficient SCalable Algorithms for weather Prediction at Exascale
published pages: 69-71, ISSN: 2398-7073, DOI: 10.21820/23987073.2017.1.69
Impact 2017/1 2019-07-25
2016 Oisın Robinson, Alastair McKinstry, Michael Lysaght
Optimization of IFS Subroutine LAITRI on Intel Knights Landing
published pages: , ISSN: , DOI:
Prace White Papers Evaluations on Intel MIC 2019-07-25
2016 Piotr K. Smolarkiewicz, Joanna Szmelter, Feng Xiao
Simulation of all-scale atmospheric dynamics on unstructured meshes
published pages: 267-287, ISSN: 0021-9991, DOI: 10.1016/j.jcp.2016.06.048
Journal of Computational Physics 322 2019-07-25
2016 Piotr K. Smolarkiewicz, Willem Deconinck, Mats Hamrud, Christian Kühnlein, George Mozdzynski, Joanna Szmelter, Nils P. Wedi
A finite-volume module for simulating global all-scale atmospheric flows
published pages: 287-304, ISSN: 0021-9991, DOI: 10.1016/j.jcp.2016.03.015
Journal of Computational Physics 314 2019-07-25
2018 Christian Kühnlein, Willem Deconinck, Rupert Klein, Sylvie Malardel, Zbigniew P. Piotrowski, Piotr K. Smolarkiewicz, Joanna Szmelter, Nils P. Wedi
FVM 1.0: A nonhydrostatic finite-volume dynamical coreformulation for IFS
published pages: 1-37, ISSN: 1991-962X, DOI: 10.5194/gmd-2018-237
Geoscientific Model Development Discussions 2019-07-25
2018 Gianmarco Mengaldo, Andrzej Wyszogrodzki, Michail Diamantakis, Sarah-Jane Lock, Francis X. Giraldo, Nils P. Wedi
Current and Emerging Time-Integration Strategies in Global Numerical Weather and Climate Prediction
published pages: , ISSN: 1134-3060, DOI: 10.1007/s11831-018-9261-8
Archives of Computational Methods in Engineering 2019-07-25
2017 Willem Deconinck, Peter Bauer, Michail Diamantakis, Mats Hamrud, Christian Kühnlein, Pedro Maciel, Gianmarco Mengaldo, Tiago Quintino, Baudouin Raoult, Piotr K. Smolarkiewicz, Nils P. Wedi
Atlas : A library for numerical weather prediction and climate modelling
published pages: 188-204, ISSN: 0010-4655, DOI: 10.1016/j.cpc.2017.07.006
Computer Physics Communications 220 2019-07-25
2017 Alexander J. Macfaden, George S. D. Gordon, Timothy D. Wilkinson
An optical Fourier transform coprocessor with direct phase determination
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-13733-1
Scientific Reports 7/1 2019-07-25
2018 Yongjun Zheng, Philippe Marguinaud
Simulation of the performance and scalability of message passing interface (MPI) communications of atmospheric models running on exascale supercomputers
published pages: 3409-3426, ISSN: 1991-9603, DOI: 10.5194/gmd-11-3409-2018
Geoscientific Model Development 11/8 2019-07-25
2019 Andreas Müller, Willem Deconinck, Christian Kühnlein, Gianmarco Mengaldo, Michael Lange, Nils Wedi, Peter Bauer, Piotr K. Smolarkiewicz, Michail Diamantakis, Sarah-Jane Lock, Mats Hamrud, Sami Saarinen, George Mozdzynski, Daniel Thiemert, Michael Glinton, Pierre Bénard, Fabrice Voitus, Charles Colavolpe, Philippe Marguinaud, Yongjun Zheng, Joris Van Bever, Daan Degrauwe, Geert Smet, Piet Termonia, Kristian P. Nielsen, Bent H. Sass, Jacob W. Poulsen, Per Berg, Carlos Osuna, Oliver Fuhrer, Valentin Clement, Michael Baldauf, Mike Gillard, Joanna Szmelter, Enda O'Brien, Alastair McKinstry, Oisín Robinson, Parijat Shukla, Michael Lysaght, Michał Kulczewski, Milosz Ciznicki, Wojciech Pia̧tek, Sebastian Ciesielski, Marek Błażewicz, Krzysztof Kurowski, Marcin Procyk, Pawel Spychala, Bartosz Bosak, Zbigniew Piotrowski, Andrzej Wyszogrodzki, Erwan Raffin, Cyril Mazauric, David Guibert, Louis Douriez, Xavier Vigouroux, Alan Gray, Peter Messmer, Alexander J. Macfaden, Nick New
The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale
published pages: 1-50, ISSN: 1991-962X, DOI: 10.5194/gmd-2018-304
Geoscientific Model Development Discussions 2019-07-25

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