EXAscale Quantification of Uncertainties for Technology and Science Simulation

Informazioni relative al progetto

ExaQUte

ID dell’accordo di sovvenzione: 800898

DOI

10.3030/800898

Progetto chiuso

Data della firma CE 18 Aprile 2018

Data di avvio 1 Giugno 2018

Data di completamento 30 Novembre 2021

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale

€ 3 124 255,00

Contributo UE

€ 3 124 255,00

Coordinato da

CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Peer reviewed articles (12)

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

Autori: B. Keith, U. Khristenko, B. Wohlmuth
Pubblicato in: Physics of Fluids, Numero 33/9, 2021, Pagina/e 095110, ISSN 1070-6631
Editore: American Institute of Physics
DOI: 10.1063/5.0064394

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

Autori: Riccardo Tosi, Ramon Amela, Rosa M. Badia, Riccardo Rossi
Pubblicato in: Journal of Scientific Computing, Numero 89/1, 2021, ISSN 0885-7474
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10915-021-01598-6

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

Autori: Mengjie Zhao, Rubén Zorrilla, Riccardo Rossi, Roland Wüchner
Pubblicato in: International Journal for Numerical Methods in Fluids, Numero 93/7, 2021, Pagina/e 2023-2064, ISSN 0271-2091
Editore: John Wiley & Sons Inc.
DOI: 10.1002/fld.4964

A fractional PDE model for turbulent velocity fields near solid walls

Autori: Brendan Keith; Ustim Khristenko; Barbara Wohlmuth
Pubblicato in: Journal of Fluid Mechanics, Numero Volume 916, 2021, ISSN 1469-7645
Editore: Cambridge University
DOI: 10.1017/jfm.2021.182

The Surrogate Matrix Methodology: A Priori Error Estimation

Autori: Daniel Drzisga, Brendan Keith, Barbara Wohlmuth
Pubblicato in: SIAM Journal on Scientific Computing, Numero 41/6, 2019, Pagina/e A3806-A3838, ISSN 1064-8275
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1226580

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

Autori: Daniel Drzisga, Brendan Keith, Barbara Wohlmuth
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 361, 2020, Pagina/e 112776, ISSN 0045-7825
Editore: 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

Autori: R. Zorrilla, A. Larese, R. Rossi
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 353, 2019, Pagina/e 123-157, ISSN 0045-7825
Editore: Elsevier BV
DOI: 10.1016/j.cma.2019.05.007

Distributed-memory parallelization of the aggregated unfitted finite element method

Autori: Francesc Verdugo, Alberto F. Martín, Santiago Badia
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 357, 2019, Pagina/e 112583, ISSN 0045-7825
Editore: Elsevier BV
DOI: 10.1016/j.cma.2019.112583

Balancing domain decomposition by constraints associated with subobjects

Autori: Santiago Badia, Alberto F. Martín, Hieu Nguyen
Pubblicato in: Applied Mathematics Letters, Numero 87, 2019, Pagina/e 93-100, ISSN 0893-9659
Editore: 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

Autori: Matthieu Martin, Sebastian Krumscheid, Fabio Nobile
Pubblicato in: ESAIM: Mathematical Modelling and Numerical Analysis, Numero 55/4, 2021, Pagina/e 1599-1633, ISSN 0764-583X
Editore: EDP Sciences
DOI: 10.1051/m2an/2021025

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

Autori: Daniel Drzisga, Brendan Keith, Barbara Wohlmuth
Pubblicato in: MethodsX, Numero 7, 2020, Pagina/e 100813, ISSN 2215-0161
Editore: ELSEVIER
DOI: 10.1016/j.mex.2020.100813

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

Autori: Santiago Badia, Alberto F. Martín, Eric Neiva, Francesc Verdugo
Pubblicato in: SIAM Journal on Scientific Computing, Numero 42/6, 2020, Pagina/e C436-C468, ISSN 1064-8275
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/20m1328786

Other (1)

Parallel unstructured mesh adaptation using iterative remeshing and repartitioning

Autori: Luca Cirrottola, Algiane Froehly
Pubblicato in: INRIA Research Report, Numero 9307, november 2019, 2019
Editore: INRIA