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ExaQUte SIGNED

EXAscale Quantification of Uncertainties for Technology and Science Simulation

Total Cost €

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EC-Contrib. €

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Partnership

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Project "ExaQUte" data sheet

The following table provides information about the project.

Coordinator
CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA 

Organization address
address: C GRAN CAPITAN, EDIFICI C1, CAMPUS NORD UPC SN
city: BARCELONA
postcode: 8034
website: www.cimne.com

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 Spain [ES]
 Total cost 3˙124˙255 €
 EC max contribution 3˙124˙255 € (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 2018-06-01   to  2021-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA ES (BARCELONA) coordinator 698˙500.00
2    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 628˙125.00
3    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) participant 523˙500.00
4    VYSOKA SKOLA BANSKA - TECHNICKA UNIVERZITA OSTRAVA CZ (OSTRAVA PORUBA) participant 320˙000.00
5    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 316˙000.00
6    INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE FR (LE CHESNAY CEDEX) participant 298˙630.00
7    UNIVERSITAT POLITECNICA DE CATALUNYA ES (BARCELONA) participant 257˙000.00
8    str.ucture GmbH DE (STUTTGART) participant 82˙500.00

Map

 Project objective

The ExaQUte project aims at constructing a framework to enable Uncertainty Quantification (UQ) and Optimization Under Uncertainties (OUU) in complex engineering problems using computational simulations on Exascale systems. The stochastic problem of quantifying uncertainties will be tackled by using a Multi Level MonteCarlo (MLMC) approach that allows a high number of stochastic variables. New theoretical developments will be carried out to enable its combination with adaptive mesh refinement, considering both, octree-based and anisotropic mesh adaptation. Gradient-based optimization techniques will be extended to consider uncertainties by developing methods to compute stochastic sensitivities, This requires new theoretical and computational developments. With a proper definition of risk measures and constraints, these methods allow high-performance robust designs, also maximizing the solution reliability. The description of complex geometries will be possible by employing embedded methods, which guarantee a high robustness in the mesh generation and adaptation steps, while allowing preserving the exact geometry representation. The efficient exploitation of Exascale system will be addressed by combining State-of-the-Art dynamic task-scheduling technologies with space-time accelerated solution methods, where parallelism is harvested both in space and time. The methods and tools developed in ExaQUte will be applicable to many fields of science and technology. The chosen application focuses on wind engineering, a field of notable industrial interest for which currently no reliable solution exists. This will include the quantification of uncertainties in the response of civil engineering structures to the wind action, and the shape optimization taking into account uncertainties related to wind loading, structural shape and material behavior. All developments in ExaQUte will be open-source and will follow a modular approach, thus maximizing future impact.

 Deliverables

List of deliverables.
Profiling report of the partner’s tools Other 2020-04-09 20:08:54
API and runtime for IO using persistent storage Other 2020-04-09 20:09:01
Report on nonlinear domain decomisition preconditioners and release of the solvers Documents, reports 2020-04-09 20:08:49
Report on the calculation of stochastic sensitivities Documents, reports 2020-04-09 20:09:22
Release of ExaQUte MLMC python engine Other 2020-04-09 20:09:14
Release of ExaQUte API for MLMC Other 2020-04-09 20:09:07
Data Management Plan Open Research Data Pilot 2020-04-09 20:09:28
Exploitation plan (M18) Documents, reports 2020-04-09 20:10:30
Report on dissemination activities (M18) Documents, reports 2020-04-09 20:10:24
Meshing “stub” implementation of the capabilities to be delivered Other 2020-04-09 20:10:36

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

 Publications

year authors and title journal last update
List of publications.
2019 Santiago Badia, Alberto F. Martín, Hieu Nguyen
Balancing domain decomposition by constraints associated with subobjects
published pages: 93-100, ISSN: 0893-9659, DOI: 10.1016/j.aml.2018.07.033
Applied Mathematics Letters 87 2020-02-05
2019 Daniel Drzisga, Brendan Keith, Barbara Wohlmuth
The Surrogate Matrix Methodology: A Priori Error Estimation
published pages: A3806-A3838, ISSN: 1064-8275, DOI: 10.1137/18m1226580
SIAM Journal on Scientific Computing 41/6 2020-01-30
2020 Daniel Drzisga, Brendan Keith, Barbara Wohlmuth
The surrogate matrix methodology: Low-cost assembly for isogeometric analysis
published pages: 112776, ISSN: 0045-7825, DOI: 10.1016/j.cma.2019.112776
Computer Methods in Applied Mechanics and Engineering 361 2020-01-30
2019 R. Zorrilla, A. Larese, R. Rossi
A modified Finite Element formulation for the imposition of the slip boundary condition over embedded volumeless geometries
published pages: 123-157, ISSN: 0045-7825, DOI: 10.1016/j.cma.2019.05.007
Computer Methods in Applied Mechanics and Engineering 353 2020-01-30
2019 Francesc Verdugo, Alberto F. Martín, Santiago Badia
Distributed-memory parallelization of the aggregated unfitted finite element method
published pages: 112583, ISSN: 0045-7825, DOI: 10.1016/j.cma.2019.112583
Computer Methods in Applied Mechanics and Engineering 357 2020-01-30
2019 Luca Cirrottola, Algiane Froehly
Parallel unstructured mesh adaptation using iterative remeshing and repartitioning
published pages: , ISSN: , DOI:
INRIA Research Report 9307, november 2019 2020-01-30

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