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dc.contributor.authorBoiger, Gernot Kurt-
dc.contributor.authorSharman, Darren-
dc.contributor.authorDrew, Dominic-
dc.date.accessioned2022-01-12T14:44:23Z-
dc.date.available2022-01-12T14:44:23Z-
dc.date.issued2021-12-
dc.identifier.issn2409-1669de_CH
dc.identifier.issn2409-7527de_CH
dc.identifier.urihttps://youtu.be/BkVXq6ZPsbQde_CH
dc.identifier.urihttps://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/61a4a918db92b17c6a8ce63e/1638181147118/MULTIPHYSICS+2021+Abstract+Booklet.pdfde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/23888-
dc.description.abstractThe cloud-computing software KaleidoSim has been developed. While the current web-platform focuses on compatibility with the open source CFD toolbox OpenFOAM, KaleidoSim enables MSCC Massive Simultaneous Cloud Computing functionality for any Multiphysics simulation software. Thereby the idea is to provide an easy-to-use, web-browser-based software, which allows the user to run any Multiphysics simulation in the cloud within minutes. Rather than just replacing local hardware, KaleidoSim has been specifically designed to tackle the issue of horizontal scaling in the cloud. While vertical scaling (parallelization) can well be conducted according to a standard selection of cloud-computers with up to 224 cores each, KaleidoSim’s key functionality is about the orchestration of multiple cloud-machines running simultaneously. KaleidoSim has been tested for workflows involving the seamless coordination of up to 500 individual, simultaneous simulation runs. Features include: i) The Self-Compile Option where OpenFOAM-based, self-composed software can be directly uploaded, compiled and run in the cloud; ii) The Katana File Downloader, which enables the selective download of any computed cloud data; iii) The In-Cloud Post-Processing Option for Paraview-based, automated post-processing via Python-trace utilities; iv) The Kaleidoscope Feature enabling the automated creation of large parameter studies; v) The API Application Programming Interface, for command-line-based access of the entire spectrum of KaleidoSim-functionality and for easy integration into third-party software. These capabilities allow the conduction of parameter studies, optimization runs and generally the creation of vast amounts of simulation data with unprecedented speed. This means that Kaleidosim effectively democratized vast computational resources and enables the integration of numerical studies of significantly higher data-intensity, investigative depth and thus quality, into every-day Multiphysics investigations. Application examples of several thermo-fluiddynamic scenarios can be demonstrated in which work-flow-speed-up-factors of no less than 50-100 can be achieved.de_CH
dc.language.isoende_CH
dc.publisherInternational Society of Multiphysicsde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectMultiphysicsde_CH
dc.subjectCloudde_CH
dc.subjectCloud computingde_CH
dc.subjectMSCCde_CH
dc.subjectSimulationde_CH
dc.subjectCFDde_CH
dc.subject.ddc530: Physikde_CH
dc.titleKaleidoSim : massive simultaneous cloud computing for multiphysics simulationsde_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, 9-10 December 2021de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start29de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedingsMultiphysics 2021de_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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