DC FieldValueLanguage
dc.contributor.authorKreienbuehl, Andreas-
dc.contributor.authorNaegel, Arne-
dc.contributor.authorRuprecht, Daniel-
dc.contributor.authorSpeck, Robert-
dc.contributor.authorWittum, Gabriel-
dc.contributor.authorKrause, Rolf-
dc.date.accessioned2021-10-14T10:26:54Z-
dc.date.available2021-10-14T10:26:54Z-
dc.date.issued2015-08-15-
dc.identifier.citationComputing and Visualization in Science 17 (2): 99-108 (2015-08-15)de_DE
dc.identifier.issn1433-0369de_DE
dc.identifier.urihttp://hdl.handle.net/11420/10526-
dc.description.abstractIn silico investigation of skin permeation is an important but also computationally demanding problem. To resolve all scales involved in full detail will not only require exascale computing capacities but also suitable parallel algorithms. This article investigates the applicability of the time-parallel Parareal algorithm to a brick and mortar setup, a precursory problem to skin permeation. The C++ library Lib4PrM implementing Parareal is combined with the UG4 simulation framework, which provides the spatial discretization and parallelization. The combination’s performance is studied with respect to convergence and speedup. It is confirmed that anisotropies in the domain and jumps in diffusion coefficients only have a minor impact on Parareal’s convergence. The influence of load imbalances in time due to differences in number of iterations required by the spatial solver as well as spatio-temporal weak scaling is discussed.en
dc.relation.ispartofComputing and visualization in sciencede_DE
dc.subjectLoad balancingde_DE
dc.subjectPararealde_DE
dc.subjectSkin transportde_DE
dc.subjectSpace–time parallelismde_DE
dc.subjectWeak scalingde_DE
dc.titleNumerical simulation of skin transport using Pararealde_DE
dc.typeArticlede_DE
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.abstract.englishIn silico investigation of skin permeation is an important but also computationally demanding problem. To resolve all scales involved in full detail will not only require exascale computing capacities but also suitable parallel algorithms. This article investigates the applicability of the time-parallel Parareal algorithm to a brick and mortar setup, a precursory problem to skin permeation. The C++ library Lib4PrM implementing Parareal is combined with the UG4 simulation framework, which provides the spatial discretization and parallelization. The combination’s performance is studied with respect to convergence and speedup. It is confirmed that anisotropies in the domain and jumps in diffusion coefficients only have a minor impact on Parareal’s convergence. The influence of load imbalances in time due to differences in number of iterations required by the spatial solver as well as spatio-temporal weak scaling is discussed.de_DE
tuhh.publisher.doi10.1007/s00791-015-0246-y-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.issue2de_DE
tuhh.container.volume17de_DE
tuhh.container.startpage99de_DE
tuhh.container.endpage108de_DE
dc.identifier.scopus2-s2.0-84944171099de_DE
local.publisher.peerreviewedtruede_DE
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.creatorOrcidKreienbuehl, Andreas-
item.creatorOrcidNaegel, Arne-
item.creatorOrcidRuprecht, Daniel-
item.creatorOrcidSpeck, Robert-
item.creatorOrcidWittum, Gabriel-
item.creatorOrcidKrause, Rolf-
item.cerifentitytypePublications-
item.mappedtypeArticle-
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.creatorGNDKreienbuehl, Andreas-
item.creatorGNDNaegel, Arne-
item.creatorGNDRuprecht, Daniel-
item.creatorGNDSpeck, Robert-
item.creatorGNDWittum, Gabriel-
item.creatorGNDKrause, Rolf-
crisitem.author.deptMathematik E-10-
crisitem.author.orcid0000-0003-1904-2473-
crisitem.author.orcid0000-0002-3879-1210-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
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