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ExaFLOW

Enabling Exascale Fluid Dynamics Simulations

Total Cost €

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EC-Contrib. €

0

Partnership

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 ExaFLOW project word cloud

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

engineering    oceans    building    simulation    modeled    situ    powerful    adaptive    breathing    output    models    health    parallel    accurate    fashion    societal    ships    domains    exascale    care    algorithms    evaluation    phenomena    practical    cloud    packages    simulations    model    prototyped    surrounded    galaxies    fd    arteries    solver    tool    validated    parallelism    dynamics    blood    fluid    nature    algorithmic    close    software    fluids    formations    plankton    unbounded    sources    data    climate    input    energy    virtually    error    stars    flowing    driver    academic    refinement    implies    alternative    heterogeneous    tolerance    substantial    pilot    airplanes    computationally    mesh    combined    cresta    computational    closely    techniques    natural    cars    transport    modeling    co    fault    compression    relevance    efficiency    gases    architectures    moving    environments    resilience    liquids    computing    source    consumption    complexities    extreme    industrial    flow    flows    epigram   

Project "ExaFLOW" data sheet

The following table provides information about the project.

Coordinator
KUNGLIGA TEKNISKA HOEGSKOLAN 

Organization address
address: BRINELLVAGEN 8
city: STOCKHOLM
postcode: 100 44
website: www.kth.se

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 Sweden [SE]
 Project website http://exaflow-project.eu
 Total cost 3˙312˙235 €
 EC max contribution 3˙312˙235 € (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    KUNGLIGA TEKNISKA HOEGSKOLAN SE (STOCKHOLM) coordinator 1˙066˙375.00
2    UNIVERSITAET STUTTGART DE (STUTTGART) participant 650˙312.00
3    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) participant 346˙125.00
4    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) participant 336˙297.00
5    UNIVERSITY OF SOUTHAMPTON UK (SOUTHAMPTON) participant 326˙625.00
6    MCLAREN RACING LIMITED UK (WOKING) participant 213˙750.00
7    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) participant 211˙500.00
8    AUTOMOTIVE SIMULATION CENTER STUTTGART EV DE (STUTTGART) participant 161˙250.00

Map

 Project objective

We are surrounded by moving fluids (gases and liquids), be it during breathing or the blood flowing in arteries; the flow around cars, ships, and airplanes; the changes in cloud formations or the plankton transport in oceans; even the formation of stars and galaxies are closely modeled as phenomena in fluid dynamics. Fluid Dynamics (FD) simulations provide a powerful tool for the analysis of such fluid flows and are an essential element of many industrial and academic problems.

The complexities and nature of fluid flows, often combined with problems set in open domains, implies that the resources needed to computationally model problems of industrial and academic relevance is virtually unbounded. FD simulations therefore are a natural driver for exascale computing and have the potential for substantial societal impact, like reduced energy consumption, alternative sources of energy, improved health care, and improved climate models.

The main goal of this project is to address algorithmic challenges to enable the use of accurate simulation models in exascale environments. Driven by problems of practical engineering interest we focus on important simulation aspects including: • error control and adaptive mesh refinement in complex computational domains, • resilience and fault tolerance in complex simulations • heterogeneous modeling • evaluation of energy efficiency in solver design • parallel input/output and in-situ compression for extreme data.

The algorithms developed by the project will be prototyped in major open-source simulation packages in a co-design fashion, exploiting software engineering techniques for exascale. We are building directly on the results of previous exascale projects (CRESTA, EPiGRAM, etc.) and will exploit advanced and novel parallelism features required for emerging exascale architectures. The results will be validated in a number of pilot applications of concrete practical importance in close collaboration with industrial partners.

 Deliverables

List of deliverables.
Initial Proof-of-Concept Formulation of ExaFLOW Algorithms Documents, reports 2019-05-30 12:49:06
Detailed Description of Use Cases and their Requirements Documents, reports 2019-05-30 12:48:56
Collaboration Report Documents, reports 2019-05-30 12:48:53
Dissemination and Communication - Activities and Results Documents, reports 2019-05-30 12:49:07
Initial Report on the ExaFLOW Algorithms, Energy Efficiency and IO Strategies Documents, reports 2019-05-30 12:49:04
Quality Assurance Plan Documents, reports 2019-05-30 12:49:00
Initial Report on Exascale Technology State-of-the-Art Documents, reports 2019-05-30 12:49:03
Collaboration Report - Update 1 Documents, reports 2019-05-30 12:49:02
Internal Report on Formulation of ExaFLOW Algorithms Documents, reports 2019-05-30 12:48:50
Management plan Documents, reports 2019-05-30 12:48:51
Innovation Management Report Documents, reports 2019-05-30 12:48:46
Dissemination and Communication – Initial Plan Documents, reports 2019-05-30 12:49:01
Exploitation Plan Revision 1 Documents, reports 2019-05-30 12:48:47
Exploitation Plan Documents, reports 2019-05-30 12:48:58
Use Case perspective of algorithmic developments Documents, reports 2019-05-30 12:48:58

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

 Publications

year authors and title journal last update
List of publications.
2017 Neil D. Sandham, Roderick Johnstone, Christian T. Jacobs
Surface-sampled simulations of turbulent flow at high Reynolds number
published pages: , ISSN: 0271-2091, DOI: 10.1002/fld.4395
International Journal for Numerical Methods in Fluids 2019-07-08
2016 Satya P. Jammy, Christian T. Jacobs, Neil D. Sandham
Performance evaluation of explicit finite difference algorithms with varying amounts of computational and memory intensity
published pages: , ISSN: 1877-7503, DOI: 10.1016/j.jocs.2016.10.015
Journal of Computational Science 2019-07-08
2017 Christian T. Jacobs, Satya P. Jammy, Neil D. Sandham
OpenSBLI: A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures
published pages: 12-23, ISSN: 1877-7503, DOI: 10.1016/j.jocs.2016.11.001
Journal of Computational Science 18 2019-07-08
2018 N. Jansson, N. Johnson and M. Bareford
Efficient Gather-Scatter Operations in Nek5000 Using PGAS
published pages: , ISSN: , DOI:
Proceedings of the 5th International Conference on Exascale Applications and Software 2019-05-22
2018 Otero E., Gong J., Min M., Fischer P., Schlatter P., and Laure E.
OpenACC acceleratior for Pn-Pn-2 algorithm in Nek5000
published pages: , ISSN: , DOI:
Proceedings of the 5th International Conference on Exascale Applications and Software 2019-05-22
2018 S. P. Jammy, C. T. Jacobs, D. J. Lusher, N. D. Sandham
Energy consumption of algorithms for solving the compressible Navier-Stokes equations on CPU\'s, GPU\'s and KNL\'s
published pages: , ISSN: , DOI:
Proceedings of the 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7) 2019-05-22
2016 S. Sherwin, J.-E. Lombard, D. Moxey, J. P. R. Moura, and G. Mengaldo
Implicit les spectral/hp element modelling of flow past complex geometries related to formula 1, International Conference on Spectral and High-Order Methods
published pages: , ISSN: , DOI:
International Conference on Spectral and High-Order Methods 2016 2019-05-22
2018 M. Zauner, C. T. Jacobs, N. D. Sandham
Grid refinement using spectral error indicators with application to airfoil DNS
published pages: , ISSN: , DOI:
Proceedings of the 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7) 2019-05-22
2017 O. Marin, E. Merzari, P. Schlatter, & A. Siegel
Proper orthogonal decomposition on compressed data.
published pages: , ISSN: , DOI:
Proceedings of TSFP-10 2019-05-22
2017 M. Vymazal, D. Moxey, C. Cantwell, S. Sherwin, and M. Kirby
Towards combined cg-dg for elliptic problems. In SIAM 2017. Abstract: https://bit.ly/2PSRCRq
published pages: , ISSN: , DOI:
SIAM Computational Science and Engineering (CSE) 2019-05-22
2017 Jacobs, C. T., Jammy, S. P., Lusher, D. J., Sandham, N. D.
KNL Performance Comparison: OpenSBLI
published pages: , ISSN: , DOI:
ARCHER technical report 2019-05-22
2018 David J. Lusher, Satya P. Jammy, Neil D. Sandham
Shock-wave/boundary-layer interactions in the automatic source-code generation framework OpenSBLI
published pages: 17-21, ISSN: 0045-7930, DOI: 10.1016/j.compfluid.2018.03.081
Computers & Fluids 173 2019-05-22
2019 Otero E., Gong J., Min M., Fischer P., Schlatter P., and Laure E.
OpenACC acceleratior for Pn-Pn-2 algorithm in Nek5000.
published pages: , ISSN: , DOI:
Submitted to Journal of Parallel and Distributed Computing 2019-05-22
2018 Chris D. Cantwell, Allan S. Nielsen
A Minimally Intrusive Low-Memory Approach to Resilience for Existing Transient Solvers
published pages: 1-17, ISSN: 0885-7474, DOI: 10.1007/s10915-018-0778-7
Journal of Scientific Computing 2019-05-22
2019 A. Peplinski, N. Offermans, P. Fischer & P. Schlatter.
Nonconforming elements in Nek5000: Stability and Implementation.
published pages: , ISSN: , DOI:
To appear In proceedings of Spectral and High Order Methods ICOSAHOM 2019-05-22
2019 M. Vymazal, D. Moxey, C. Cantwell, R. M. Kirby & S. Sherwin.
On a mixed CG-HDG formulation for high-order simulations. To appear.
published pages: , ISSN: , DOI:
To appear In proceedings of Spectral and High Order Methods 2019-05-22
2019 S. P. Jammy, C. T. Jacobs, D. J. Lusher, N. D. Sandham
Energy efficiency of finite difference algorithms on multicore CPUs, GPUs, and Intel Xeon Phi processors
published pages: , ISSN: , DOI:
Preprint Submitted to Computers and Fluids 2019-05-22
2018 Jan Eichstädt, Mashy Green, Michael Turner, Joaquim Peiró, David Moxey
Accelerating high-order mesh optimisation with an architecture-independent programming model
published pages: 36-53, ISSN: 0010-4655, DOI: 10.1016/j.cpc.2018.03.025
Computer Physics Communications 229 2019-05-22
2019 J. Peiró, D. Moxey, M. Turner, G. Mengaldo, R. C. Moura, A. Jassim, M. Taylor, S. J. Sherwin.
spectral/hp element methods for under-resolved dns: paving the way to industry-relevant simulations
published pages: , ISSN: , DOI:
To appear in In ERCOFTAC Bulletin 89 2019-05-22
2019 Otero, E., Marin, O., Vinuesa, R., Schlatter, P., Siegel, A., Laure, E.:
The effect of lossy data compression in computational fluid dynamics applications: resilience and data postprocessing
published pages: , ISSN: , DOI:
Proceedings Direct and Large-Eddy Simulation 11 2019-05-22
2018 N. Jansson, N. Johnson, M. Bareford.
Efficient Gather-Scatter Operations in Nek5000 Using PGAS. J
published pages: , ISSN: , DOI:
Submitted to Journal of Parallel and Distributed Computing, Special Issue on Exascale Applications and Software 2019-05-22
2019 J. Hoessler
Comparison of time resolved experimental surveys with simulations using Nektar++ on a Formula One front wing.
published pages: , ISSN: , DOI:
To appear in In proceedings of Spectral and High Order Methods for Partial Differential Equations 2019-05-22
2018 Evelyn Otero, Ricardo Vinuesa, Oana Marin, Erwin Laure, Philipp Schlatter
Lossy Data Compression Effects on Wall-bounded Turbulence: Bounds on Data Reduction
published pages: 365-387, ISSN: 1386-6184, DOI: 10.1007/s10494-018-9923-5
Flow, Turbulence and Combustion 101/2 2019-05-22
2018 Allan S. Nielsen, Gilles Brunner, Jan S. Hesthaven
Communication-aware adaptive Parareal with application to a nonlinear hyperbolic system of partial differential equations
published pages: 483-505, ISSN: 0021-9991, DOI: 10.1016/j.jcp.2018.04.056
Journal of Computational Physics 371 2019-05-22
2015 David Moxey, Shankar P. Sastry, Robert M. Kirby
Interpolation Error Bounds for Curvilinear Finite Elements and Their Implications on Adaptive Mesh Refinement
published pages: 1-18, ISSN: 0885-7474, DOI: 10.1007/s10915-018-0795-6
Journal of Scientific Computing 2019-05-22
2019 N. Offermans, A. Peplinski, O. Marin, P. Fischer & P. Schlatter.
Towards adaptive mesh refinement for the spectral element solver Nek5000
published pages: , ISSN: , DOI:
Proceedings Direct and Large-Eddy Simulation 11 2019-05-22
2019 O. Marin, R. Vinuesa, E. Merzari, P. Schlatter
Data compression effects on coherent turbulence structures
published pages: , ISSN: , DOI:
To appear in proceedings of Spectral and High Order Methods 2019-05-22
2018 Christian T. Jacobs, Markus Zauner, Nicola De Tullio, Satya P. Jammy, David J. Lusher, Neil D. Sandham
An error indicator for finite difference methods using spectral techniques with application to aerofoil simulation
published pages: 67-72, ISSN: 0045-7930, DOI: 10.1016/j.compfluid.2018.03.065
Computers & Fluids 168 2019-05-22
2019 N. Offermans, A. Peplinski, O. Marin, P. Schlatter.
Efficient preconditioning for the pressure equation in Nek5000 using the Hypre library.
published pages: , ISSN: , DOI:
To appear In proceedings of Spectral and High Order Methods for Partial Differential Equations 2019-05-22
2019 C. Cantwell & A. Nielsen
. A minimally intrusive low-memory approach to resilience for existing transient solvers.
published pages: , ISSN: , DOI:
To appear In proceedings of Spectral and High Order Methods 2019-05-22

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