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dc.contributor.authorAyoul-Guilmard, Quentin
dc.contributor.authorBadia Sala, Rosa Maria
dc.contributor.authorEjarque, Jorge
dc.contributor.authorGanesh, Sundar
dc.contributor.authorNobile, Fabio
dc.contributor.authorNúñez Corbacho, Marc
dc.contributor.authorSoriano Ortiz, Cecilia
dc.contributor.authorRoig Pina, Carlos Alejandro
dc.contributor.authorRossi, Riccardo
dc.contributor.authorTosi, Riccardo
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Civil
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2021-06-10T15:07:24Z
dc.date.available2021-06-10T15:07:24Z
dc.date.issued2020-05-29
dc.identifier.citationAyoul-Guilmard, Q. [et al.]. ExaQUte: D1.3 First public release of the solver. 2020. DOI 10.23967/exaqute.2021.2.007.
dc.identifier.urihttp://hdl.handle.net/2117/347125
dc.description.abstractThis deliverable presents the software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definition [8]. This report is meant to serve as a supplement to the public release of the software. Kratos is “a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface”. XMC is a python library for hierarchical Monte Carlo algorithms. Hyperloom and PyCOMPSs are environments for enabling parallel and distributed computation.
dc.format.extent10 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica
dc.subject.lcshMonte Carlo method--Computer programs
dc.titleExaQUte: D1.3 First public release of the solver
dc.typeExternal research report
dc.subject.lemacMontecarlo, Mètode de -- Informàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. GMNE - Grup de Mètodes Numèrics en Enginyeria
dc.contributor.groupUniversitat Politècnica de Catalunya. RMEE - Grup de Resistència de Materials i Estructures en l'Enginyeria
dc.identifier.doi10.23967/exaqute.2021.2.007
dc.relation.publisherversionhttps://www.scipedia.com/public/Ayoul-Guilmard_et_al_2021b
dc.rights.accessOpen Access
local.identifier.drac31783946
dc.description.versionPreprint
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/800898/EU/EXAscale Quantification of Uncertainties for Technology and Science Simulation/ExaQUte
local.citation.authorAyoul-Guilmard, Q.; Badia, R.; Ejarque, J.; Ganesh, S.; Nobile, F.; Núñez, M.; Soriano, C.; Roig, C.; Rossi, R.; Tosi, R.


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