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dc.contributor.authorAkimova, E.en
dc.contributor.authorMisilov, V.en
dc.contributor.authorKulikov, I.en
dc.contributor.authorChernykh, I.en
dc.date.accessioned2020-10-20T16:35:51Z-
dc.date.available2020-10-20T16:35:51Z-
dc.date.issued2019-
dc.identifier.citationAkimova E. Hydrodynamical Simulation of Astrophysical Flows: High-Performance GPU Implementation / E. Akimova, V. Misilov, I. Kulikov, I. Chernykh. — DOI 10.1088/1742-6596/1336/1/012014 // Journal of Physics: Conference Series. — 2019. — Vol. 1. — Iss. 1336. — 12014.en
dc.identifier.issn1742-6588-
dc.identifier.otherhttps://doi.org/10.1088/1742-6596/1336/1/012014pdf
dc.identifier.other1good_DOI
dc.identifier.other66d29ba6-b63a-498a-be2d-b4a764e3d2e4pure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85076218260m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/92459-
dc.description.abstractWe present a new hydrodynamical code GPUPEGAS 2.0 for 3D simulation of astrophysical flows using the GPUs. This code is an extension of GPUPEGAS code developed in 2014 for simulation of interacting galaxies. GPUPEGAS 2.0 is based on the Authors' numerical method of high order of accuracy for smooth solutions with small dissipation of the solution in discontinuities. The high order of accuracy and small dissipation are achieved by using the piecewise-linear representation of the physical variables in each dimension. The Rusanov flux allows one to simply vectorize the solution of the Riemann problem. The code was implemented for the cluster supercomputers NKS-30T (Siberian Supercomputer Center, SB RAS) and Uran (Institute of Mathematics and Mechanics, UrB RAS) using the hybrid MPI+CUDA technology. To avoid the compute capability-specific implementations of reduction routines, the Thrust library was used. The optimal parameters for kernel function were found for the three-dimensional computation grid. The Sedov point blast problem was used as a main test one. The numerical experiment was performed to simulate the hydrodynamics of the type II supernova explosion for the grid size of 2563. A set of experiments was performed to study performance and scalability of the developed code. The performance of 25 GFLOPS was achieved using a single Tesla M2090 GPU. The speedup of 3 times was achieved using a node with 4 GPUs. By using 16 GPUs, 70% scalability was achieved. © 2019 IOP Publishing Ltd. All rights reserved.en
dc.description.sponsorshipRussian Science Foundation, RSF: 18-11-00044en
dc.description.sponsorshipThe work of Igor Kulikov and Igor Chernykh was supported by Russian Science Foundation (project no. 18-11-00044).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherInstitute of Physics Publishingen
dc.relationinfo:eu-repo/grantAgreement/RSF//18-11-00044en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceJournal of Physics: Conference Seriesen
dc.subjectASTROPHYSICSen
dc.subjectGRAPHICS PROCESSING UNITen
dc.subjectNUMERICAL METHODSen
dc.subjectNUMERICAL MODELSen
dc.subjectPIECEWISE LINEAR TECHNIQUESen
dc.subjectPROGRAM PROCESSORSen
dc.subjectSCALABILITYen
dc.subjectSUPERCOMPUTERSen
dc.subjectSUPERNOVAEen
dc.subjectASTROPHYSICAL FLOWSen
dc.subjectGPU IMPLEMENTATIONen
dc.subjectNUMERICAL EXPERIMENTSen
dc.subjectPERFORMANCE AND SCALABILITIESen
dc.subjectPHYSICAL VARIABLESen
dc.subjectPIECEWISE LINEAR REPRESENTATIONen
dc.subjectSUPERNOVA EXPLOSIONen
dc.subjectTHREE-DIMENSIONAL COMPUTATIONSen
dc.subjectMAGNETOHYDRODYNAMICSen
dc.titleHydrodynamical Simulation of Astrophysical Flows: High-Performance GPU Implementationen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1088/1742-6596/1336/1/012014-
dc.identifier.scopus85076218260-
local.affiliationN. N. Krasovskii Institute of Mathematics and Mechanics UrB RAS, Ekaterinburg, Russian Federation
local.affiliationUral Federal University, Ekaterinburg, Russian Federation
local.affiliationInstitute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk, Russian Federation
local.contributor.employeeAkimova, E., N. N. Krasovskii Institute of Mathematics and Mechanics UrB RAS, Ekaterinburg, Russian Federation, Ural Federal University, Ekaterinburg, Russian Federation
local.contributor.employeeMisilov, V., N. N. Krasovskii Institute of Mathematics and Mechanics UrB RAS, Ekaterinburg, Russian Federation, Ural Federal University, Ekaterinburg, Russian Federation
local.contributor.employeeKulikov, I., Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk, Russian Federation
local.contributor.employeeChernykh, I., Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk, Russian Federation
local.issue1336-
local.volume1-
local.identifier.pure11444387-
local.description.order12014-
local.identifier.eid2-s2.0-85076218260-
local.fund.rsf18-11-00044-
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