Dieses Dokument steht unter einer CreativeCommons Lizenz by/4.0
DC ElementWertSprache
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
dc.identifier.issn2079-3197de
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
dc.publisherMultidisciplinary Digital Publishing Institutede
dc.relation.ispartofComputationde
dc.rightsCC BY 4.0de
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.subjectCUDAde
dc.subjectOpenGLde
dc.subjectLBMde
dc.subjectELBEde
dc.subjectELBvisde
dc.subjectreal-timede
dc.subject.ddc620: Ingenieurwissenschaftende
dc.titleTowards online visualization and interactive monitoring of real-time CFD simulations on commodity hardwarede
dc.typeArticlede
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
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
tuhh.relation.ispartofComputationde
tuhh.publisher.doi10.3390/computation3030444-
tuhh.publication.instituteFluiddynamik und Schiffstheorie M-8de
tuhh.identifier.doi10.15480/882.1416-
tuhh.type.opus(wissenschaftlicher) Artikelde
tuhh.institute.germanFluiddynamik und Schiffstheorie M-8de
tuhh.gvk.hasppnfalse-
tuhh.hasurnfalse-
openaire.rightsinfo:eu-repo/semantics/openAccessde
dc.type.driverarticle-
dc.rights.ccbyde
dc.rights.ccversion4.0de
dc.type.casraiJournal Articleen
Enthalten in den Sammlungen:tub.dok
Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
computation-03-00444.pdf12,92 MBAdobe PDFMiniaturbild
Öffnen/Anzeigen
Zur Kurzanzeige

Seitenansichten

66
Letzte Woche
1
Letzten Monat
checked on 22.11.2017

Download(s)

30
checked on 22.11.2017

Google ScholarTM

Prüfe

Altmetric


Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.