EXAscale Quantification of Uncertainties for Technology and Science Simulation

Informations projet

ExaQUte

N° de convention de subvention: 800898

DOI

10.3030/800898

Projet clôturé

Date de signature de la CE 18 Avril 2018

Date de début 1 Juin 2018

Date de fin 30 Novembre 2021

Financé au titre de

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Coût total

€ 3 124 255,00

Contribution de l’UE

€ 3 124 255,00

Coordonné par

CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA
Spain

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (13)

Release of ExaQUte API for MLMC

Release of ExaQUte API for MLMC. Complete with documentation and basic unit-testing

Final public Release of the solver

Final public Release of the solver public release

Profiling report of the partner’s tools

Profiling report of the partner’s tools, complete with performance suggestions

Deterministic Optimization Software

Deterministic Optimization Software (employing the MLMC API described in WP4 and 5). Includes a minimal documentation and simple unit-testing system

Benchmarking report as tested on the available infrastructure

Benchmarking report as tested on the available infrastructure. Preparation of a project for PRACE access.

Release of ExaQUte MLMC python engine

Release of ExaQUte MLMC python engine. Complete with documentation and basic unit-testing

First public Release of the solver

First public Release of the solver first public release

Meshing “stub” implementation of the capabilities to be delivered

Delivery of Mesh “stub” implementation of the capabilities to be delivered (may redirect to the serial implementation, preserving however an API close to the final one) – must be done basing on the milestones described in section 3.2.

Framework development and release
Second Release of the mesh generation/adaptation capabilities

Second Release of the mesh generation/adaptation capabilities (report, basic documentation and actual software release)

Working, common python API to schedule MLMC routines

(Working, common python API to schedule MLMC routines) complete with documentation and basic simple unit tests. Also includes a working backend installed on the local systems

Final Release of the mesh generation/adaptation capabilities

Final Release of the mesh generationadaptation capabilities report basic documentation and actual software release

API and runtime for IO using persistent storage

API and runtime (complete with documentation and basic unit testing) for IO employing fast local storage

Documents, reports (18)

Exploitation plan (M18)

First exploitation plan

Report on stochastic optimization for wind engineering
Report on nonlinear domain decomisition preconditioners and release of the solvers
Report on the calibration of parallel methods for transient problems in wind engineering

Report on the calibration of parallel methods for transient problemsm in wind engineering and identification of most relevant parameters

Report on UQ results and overall user experience
Report on the calculation of stochastic sensitivities

Report on the calculation of stochastic sensitivities. Includes both a software component and a theoretical part.

Report on theoretical work to allow the use of MLMC with adaptive mesh refinement.

Report on theoretical work to allow the use of MLMC with adaptive mesh refinement includes a working release of the python engine

Periodic technical, administrative and financial report (M18)

First periodic technical, administrative and financial report

Report on stochastic optimization for simplified problems
Periodic technical, administrative and financial report (M42)

Second periodic technical administrative and financial reports

Report on stochastic optimization for unsteady problems
Report on the application of MLMC to wind engineering applications

Report on the application of MLMC to wind engineering applications M36

Exploitation plan (M42)

Second exploitation plan

Report on dissemination activities (M18)

First report on dissemination activities

Report on MLMC for time dependent problems

Report on MLMC for time dependent problems includes a working release of the python engine

Finalization of “deterministic” verification and validation tests

Finalization of deterministic verification and validation tests

Report on parallel in time methods and release of the solvers
Report on dissemination activities (M42)

Second report on dissemination activities

Open Research Data Pilot (1)

Data Management Plan

Publications

Peer reviewed articles (12)

Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer

Auteurs: B. Keith, U. Khristenko, B. Wohlmuth
Publié dans: Physics of Fluids, Numéro 33/9, 2021, Page(s) 095110, ISSN 1070-6631
Éditeur: American Institute of Physics
DOI: 10.1063/5.0064394

A Parallel Dynamic Asynchronous Framework for Uncertainty Quantification by Hierarchical Monte Carlo Algorithms

Auteurs: Riccardo Tosi, Ramon Amela, Rosa M. Badia, Riccardo Rossi
Publié dans: Journal of Scientific Computing, Numéro 89/1, 2021, ISSN 0885-7474
Éditeur: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10915-021-01598-6

A time averaged steady state method for the Navier–Stokes equations

Auteurs: Mengjie Zhao, Rubén Zorrilla, Riccardo Rossi, Roland Wüchner
Publié dans: International Journal for Numerical Methods in Fluids, Numéro 93/7, 2021, Page(s) 2023-2064, ISSN 0271-2091
Éditeur: John Wiley & Sons Inc.
DOI: 10.1002/fld.4964

A fractional PDE model for turbulent velocity fields near solid walls

Auteurs: Brendan Keith; Ustim Khristenko; Barbara Wohlmuth
Publié dans: Journal of Fluid Mechanics, Numéro Volume 916, 2021, ISSN 1469-7645
Éditeur: Cambridge University
DOI: 10.1017/jfm.2021.182

The Surrogate Matrix Methodology: A Priori Error Estimation

Auteurs: Daniel Drzisga, Brendan Keith, Barbara Wohlmuth
Publié dans: SIAM Journal on Scientific Computing, Numéro 41/6, 2019, Page(s) A3806-A3838, ISSN 1064-8275
Éditeur: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1226580

The surrogate matrix methodology: Low-cost assembly for isogeometric analysis

Auteurs: Daniel Drzisga, Brendan Keith, Barbara Wohlmuth
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 361, 2020, Page(s) 112776, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.1016/j.cma.2019.112776

A modified Finite Element formulation for the imposition of the slip boundary condition over embedded volumeless geometries

Auteurs: R. Zorrilla, A. Larese, R. Rossi
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 353, 2019, Page(s) 123-157, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.1016/j.cma.2019.05.007

Distributed-memory parallelization of the aggregated unfitted finite element method

Auteurs: Francesc Verdugo, Alberto F. Martín, Santiago Badia
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 357, 2019, Page(s) 112583, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.1016/j.cma.2019.112583

Balancing domain decomposition by constraints associated with subobjects

Auteurs: Santiago Badia, Alberto F. Martín, Hieu Nguyen
Publié dans: Applied Mathematics Letters, Numéro 87, 2019, Page(s) 93-100, ISSN 0893-9659
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.aml.2018.07.033

Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters

Auteurs: Matthieu Martin, Sebastian Krumscheid, Fabio Nobile
Publié dans: ESAIM: Mathematical Modelling and Numerical Analysis, Numéro 55/4, 2021, Page(s) 1599-1633, ISSN 0764-583X
Éditeur: EDP Sciences
DOI: 10.1051/m2an/2021025

The surrogate matrix methodology: A reference implementation for low-cost assembly in isogeometric analysis

Auteurs: Daniel Drzisga, Brendan Keith, Barbara Wohlmuth
Publié dans: MethodsX, Numéro 7, 2020, Page(s) 100813, ISSN 2215-0161
Éditeur: ELSEVIER
DOI: 10.1016/j.mex.2020.100813

A Generic Finite Element Framework on Parallel Tree-Based Adaptive Meshes

Auteurs: Santiago Badia, Alberto F. Martín, Eric Neiva, Francesc Verdugo
Publié dans: SIAM Journal on Scientific Computing, Numéro 42/6, 2020, Page(s) C436-C468, ISSN 1064-8275
Éditeur: Society for Industrial and Applied Mathematics
DOI: 10.1137/20m1328786

Other (1)

Parallel unstructured mesh adaptation using iterative remeshing and repartitioning

Auteurs: Luca Cirrottola, Algiane Froehly
Publié dans: INRIA Research Report, Numéro 9307, november 2019, 2019
Éditeur: INRIA