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ExaQUte: D5.2 Release of ExaQUte MLMC Python engine
dc.contributor.author | Amela Milian, Ramon |
dc.contributor.author | Ayoul-Guilmard, Quentin |
dc.contributor.author | Ganesh, Sundar |
dc.contributor.author | Tosi, Riccardo |
dc.contributor.author | Badia Sala, Rosa Maria |
dc.contributor.author | Nobile, Fabio |
dc.contributor.author | Rossi, Riccardo |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Civil |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Bioinformàtica |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor.other | Barcelona Supercomputing Center |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2021-06-10T15:17:13Z |
dc.date.available | 2021-06-10T15:17:13Z |
dc.date.issued | 2019-05-30 |
dc.identifier.citation | Amela, R. [et al.]. ExaQUte: D5.2 Release of ExaQUte MLMC Python engine. 2019. DOI 10.23967/exaqute.2021.2.024. |
dc.identifier.uri | http://hdl.handle.net/2117/347127 |
dc.description.abstract | In this deliverable, the ExaQUte xmc library is introduced. This report is meant to serve as a supplement to the publicly release of the library. In the following sections, the ExaQUte xmc library is described along with its current and future capabilities. The structure of the library, along with its dynamic import mechanism, are described using samples of code. The algorithms behind the example files supplied with the public release are explained in detail as well. |
dc.format.extent | 9 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica |
dc.subject.lcsh | Monte Carlo method--Computer programs |
dc.title | ExaQUte: D5.2 Release of ExaQUte MLMC Python engine |
dc.type | External research report |
dc.subject.lemac | Montecarlo, Mètode de -- Informàtica |
dc.contributor.group | Universitat Politècnica de Catalunya. RMEE - Grup de Resistència de Materials i Estructures en l'Enginyeria |
dc.identifier.doi | 10.23967/exaqute.2021.2.024 |
dc.relation.publisherversion | https://www.scipedia.com/public/Table_Soriano_2019c |
dc.rights.access | Open Access |
local.identifier.drac | 31784008 |
dc.description.version | Preprint |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/800898/EU/EXAscale Quantification of Uncertainties for Technology and Science Simulation/ExaQUte |
local.citation.author | Amela, R.; Ayoul-Guilmard, Q.; Ganesh, S.; Tosi, R.; Badia, R.; Nobile, F.; Rossi, R. |
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