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dc.contributor.authorBoiger, Gernot Kurt-
dc.contributor.authorEveritt, Matthew-
dc.contributor.authorSharman, Darren-
dc.contributor.authorBoldrini, Marlon-
dc.date.accessioned2021-01-07T12:36:50Z-
dc.date.available2021-01-07T12:36:50Z-
dc.date.issued2020-12-11-
dc.identifier.issn2409-1669de_CH
dc.identifier.issn2409-7527de_CH
dc.identifier.urihttps://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/5fd1bf288185f4776a0d1807/1607581490712/MULTIPHYSICS+2020+-+Abstracts.pdfde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/21173-
dc.description.abstractThe Massive Simultaneous Cloud Computing concept allows appliers and developers of Multiphysics simulation software to utilize any number of cloud-based computers simultaneously. Thus novel workflows in simulation based research and development can be introduced, focusing on simultaneous rather than on sequential computation of individual cases. On the basis of this capability the simulation-researcher/-engineer can (i) dramatically increase the parameter space of any computational parameter study, (ii) devise novel concepts of conducting optimization procedures and (iii) can ultimately even proceed to produce sufficient simulation data in order to train e.g. artificial neuronal networks. The cloud-based software platform Kaleidosim has been devised to effectively enable the handling of MSCC simulation run series of up to 500 simultaneous cloud runs. Case studies will be presented where a speed up factor of 100 has been achieved in terms of comparing MSCC based parameter studies to the standard workflow on in-house hardware.de_CH
dc.language.isoende_CH
dc.publisherInternational Society of Multiphysicsde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectMSCCde_CH
dc.subjectMSCCde_CH
dc.subjectMassive simultaneous cloud computingde_CH
dc.subjectMassive simultaneous cloud computingde_CH
dc.subjectMultiphysicsde_CH
dc.subjectMultiphysicsde_CH
dc.subjectCFDde_CH
dc.subjectCFDde_CH
dc.subjectParameter studyde_CH
dc.subjectParameter studyde_CH
dc.subjectOptimizationde_CH
dc.subjectOptimizationde_CH
dc.subject.ddc530: Physikde_CH
dc.titleMassive simultaneous cloud computing (MSCC) for multiphysics-simulation applicationsde_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Computational Physics (ICP)de_CH
zhaw.conference.detailsInternational Conference of Multiphysics, Online, 11-12 December 2020de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start59de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedingsMultiphysics 2020de_CH
zhaw.webfeedVerfahrenstechnikde_CH
zhaw.funding.zhawExperimentaldesign für Simulationsläufe mittels Massivem Simultanem Cloud Computing (MSCC)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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