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dc.contributor.authorČiegis, Raimondas
dc.contributor.authorStarikovičius, Vadimas
dc.contributor.authorMargenov, Svetozar
dc.contributor.authorKriauzienė, Rima
dc.date.accessioned2023-09-18T17:23:49Z
dc.date.available2023-09-18T17:23:49Z
dc.date.issued2019
dc.identifier.issn1532-0626
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/122780
dc.description.abstractIn this paper, we develop and investigate the parallel numerical algorithms for three different state‐of‐the‐art numerical methods for solving the non‐local problems described by fractional powers of elliptic operators. These methods transform the non‐local problem into some local differential problems of elliptic or parabolic type. A two‐level parallelization approach is applied to construct the efficient parallel algorithms using the domain decomposition and master‐slave methods, to deal with the increase in computational complexity. We show and compare the serial and parallel solution times that are required to achieve similar accuracy of the solution using different algorithms. Results of extensive convergence tests are presented solving a three‐dimensional test problem with known decrease of the solution's convergence rate depending on the fractional power coefficient. We analyze and discuss the non‐trivial question, which parallel algorithm is recommended to achieve certain accuracy for the given fractional power coefficient.eng
dc.formatPDF
dc.format.extentp. 1-12
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyCompendex
dc.relation.isreferencedbyComputer Science Index
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://doi.org/10.1002/cpe.5163
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:34066473/datastreams/COVER/content
dc.titleScalability analysis of different parallel solvers for 3D fractional power diffusion problems
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references35
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionBulgarian Academy of Sciences
dc.contributor.institutionVilniaus Gedimino technikos universitetas Vilniaus universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 009 - Informatika / Computer science
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsFM0101 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enconvergence
dc.subject.enfractional diffusion
dc.subject.enfractional Laplacian
dc.subject.enmultigrid
dc.subject.enparallel numerical algorithms
dc.subject.enparallel scalability
dcterms.sourcetitleConcurrency and computation: practice and experience: Special issue: Special issue on Algorithmic Advances in Parallel Architectures and Energy Efficient Computing (PPAM2017) and Recent Advances in Machine Learning for Cyber‐security (MLCSec2018)
dc.description.issueiss. 19
dc.description.volumevol. 31
dc.publisher.nameJohn Wiley & Sons
dc.publisher.cityHoboken
dc.identifier.doi000486203400008
dc.identifier.doi10.1002/cpe.5163
dc.identifier.elaba34066473


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