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dc.contributor.authorKoliha, Nils-
dc.contributor.authorJanßen, Christian F.-
dc.contributor.authorRung, Thomas-
dc.date.accessioned2017-08-28T09:30:56Z-
dc.date.available2017-08-28T09:30:56Z-
dc.date.issued2015-09-11-
dc.identifierdoi: 10.3390/computation3030444-
dc.identifier.citationComputation 3 (2015), 3, S. 444-478de_DE
dc.identifier.issn2079-3197de_DE
dc.identifier.urihttp://tubdok.tub.tuhh.de/handle/11420/1419-
dc.description.abstractReal-time rendering in the realm of computational fluid dynamics (CFD) in particular and scientific high performance computing (HPC) in general is a comparably young field of research, as the complexity of most problems with practical relevance is too high for a real-time numerical simulation. However, recent advances in HPC and the development of very efficient numerical techniques allow running first optimized numerical simulations in or near real-time, which in return requires integrated and optimized visualization techniques that do not affect performance. In this contribution, we present concepts, implementation details and several application examples of a minimally-invasive, efficient visualization tool for the interactive monitoring of 2D and 3D turbulent flow simulations on commodity hardware. The numerical simulations are conducted with ELBE, an efficient lattice Boltzmann environment based on NVIDIA CUDA (Compute Unified Device Architecture), which provides optimized numerical kernels for 2D and 3D computational fluid dynamics with fluid-structure interactions and turbulence.-
dc.description.abstractReal-time rendering in the realm of computational fluid dynamics (CFD) in particular and scientific high performance computing (HPC) in general is a comparably young field of research, as the complexity of most problems with practical relevance is too high for a real-time numerical simulation. However, recent advances in HPC and the development of very efficient numerical techniques allow running first optimized numerical simulations in or near real-time, which in return requires integrated and optimized visualization techniques that do not affect performance. In this contribution, we present concepts, implementation details and several application examples of a minimally-invasive, efficient visualization tool for the interactive monitoring of 2D and 3D turbulent flow simulations on commodity hardware. The numerical simulations are conducted with ELBE, an efficient lattice Boltzmann environment based on NVIDIA CUDA (Compute Unified Device Architecture), which provides optimized numerical kernels for 2D and 3D computational fluid dynamics with fluid-structure interactions and turbulence.en
dc.language.isoende_DE
dc.publisherMultidisciplinary Digital Publishing Institutede_DE
dc.relation.ispartofComputationde_DE
dc.rightsCC BY 4.0de_DE
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.subjectCUDAde_DE
dc.subjectOpenGLde_DE
dc.subjectLBMde_DE
dc.subjectELBEde_DE
dc.subjectELBvisde_DE
dc.subjectreal-timede_DE
dc.subject.ddc620: Ingenieurwissenschaftende_DE
dc.titleTowards online visualization and interactive monitoring of real-time CFD simulations on commodity hardwarede_DE
dc.typeArticlede_DE
dc.date.updated2017-08-24T09:55:06Z-
dc.identifier.urnurn:nbn:de:gbv:830-882w02201-
dc.identifier.doi10.15480/882.1416-
dc.type.diniarticle-
dc.subject.ddccode620-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882w02201de_DE
tuhh.gvk.ppn896809528-
tuhh.oai.showtrue-
dc.identifier.hdl11420/1419-
tuhh.abstract.englishReal-time rendering in the realm of computational fluid dynamics (CFD) in particular and scientific high performance computing (HPC) in general is a comparably young field of research, as the complexity of most problems with practical relevance is too high for a real-time numerical simulation. However, recent advances in HPC and the development of very efficient numerical techniques allow running first optimized numerical simulations in or near real-time, which in return requires integrated and optimized visualization techniques that do not affect performance. In this contribution, we present concepts, implementation details and several application examples of a minimally-invasive, efficient visualization tool for the interactive monitoring of 2D and 3D turbulent flow simulations on commodity hardware. The numerical simulations are conducted with ELBE, an efficient lattice Boltzmann environment based on NVIDIA CUDA (Compute Unified Device Architecture), which provides optimized numerical kernels for 2D and 3D computational fluid dynamics with fluid-structure interactions and turbulence.de_DE
tuhh.relation.ispartofComputationde
tuhh.publisher.doi10.3390/computation3030444-
tuhh.publication.instituteFluiddynamik und Schiffstheorie M-8de_DE
tuhh.identifier.doi10.15480/882.1416-
tuhh.type.opus(wissenschaftlicher) Artikelde
tuhh.institute.germanFluiddynamik und Schiffstheorie M-8de
tuhh.institute.englishFluiddynamik und Schiffstheorie M-8de_DE
tuhh.gvk.hasppnfalse-
tuhh.hasurnfalse-
openaire.rightsinfo:eu-repo/semantics/openAccessde_DE
dc.type.driverarticle-
dc.rights.ccbyde_DE
dc.rights.ccversion4.0de_DE
dc.type.casraiJournal Articleen
dc.rights.nationallicensefalsede_DE
item.creatorOrcidKoliha, Nils-
item.creatorOrcidJanßen, Christian F.-
item.creatorOrcidRung, Thomas-
item.creatorGNDKoliha, Nils-
item.creatorGNDJanßen, Christian F.-
item.creatorGNDRung, Thomas-
item.grantfulltextopen-
item.fulltextWith Fulltext-
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