Assessment of Python tensor contraction packages in the context of finite element evaluations

dc.contributor.authorCimrman, Robert
dc.date.accessioned2022-10-03T10:00:14Z
dc.date.available2022-10-03T10:00:14Z
dc.date.issued2021
dc.description.abstract-translatedIn finite element calculations, the integral forms are usually evaluated using nested loops over elements, and over quadrature points. Many such forms (e.g. all linear or multi-linear) can be written using a single tensor contraction expression using the Einstein summation convention. In this contribution we asses a number of Python scientific computing packages, that implement, optimize and in some cases parallelize the general tensor contractions, in terms of the calculation speed and memory requirements, in comparison with the C implementation available in the finite element package SfePy.en
dc.format3 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationCIMRMAN, R. Assessment of Python tensor contraction packages in the context of finite element evaluations. In Computational Mechanics 2021. Plzeň: Department of Mechanics, Faculty of Applied Sciences, University of West Bohemia, 2021. s. 37-39. ISBN: 978-80-261-1059-0cs
dc.identifier.isbn978-80-261-1059-0
dc.identifier.obd43936098
dc.identifier.urihttp://hdl.handle.net/11025/49660
dc.language.isoenen
dc.project.IDEF17_048/0007280/Aplikace moderních technologií v medicíně a průmyslucs
dc.publisherDepartment of Mechanics, Faculty of Applied Sciences, University of West Bohemiaen
dc.relation.ispartofseriesComputational Mechanics 2021en
dc.rights© University of West Bohemiaen
dc.rights.accessopenAccessen
dc.subject.translatedFinite element methoden
dc.subject.translatedTensor contractionsen
dc.subject.translatedWeak form transpileren
dc.subject.translatedNumerical performance studyen
dc.titleAssessment of Python tensor contraction packages in the context of finite element evaluationsen
dc.typekonferenční příspěvekcs
dc.typeConferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

Files

Collections