Publikationstyp: Konferenz: Sonstiges
Art der Begutachtung: Peer review (Abstract)
Titel: Massive simultaneous cloud computing (MSCC) for multiphysics-simulation applications
Autor/-in: Boiger, Gernot Kurt
Everitt, Matthew
Sharman, Darren
Boldrini, Marlon
et. al: No
Tagungsband: Multiphysics 2020
Seiten: 59
Angaben zur Konferenz: International Conference of Multiphysics, Online, 11-12 December 2020
Erscheinungsdatum: 11-Dez-2020
Verlag / Hrsg. Institution: International Society of Multiphysics
ISSN: 2409-1669
Sprache: Englisch
Schlagwörter: MSCC; MSCC; Massive simultaneous cloud computing; Massive simultaneous cloud computing; Multiphysics; Multiphysics; CFD; CFD; Parameter study; Parameter study; Optimization; Optimization
Fachgebiet (DDC): 530: Physik
Zusammenfassung: The 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.
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institute of Computational Physics (ICP)
Publiziert im Rahmen des ZHAW-Projekts: Experimentaldesign für Simulationsläufe mittels Massivem Simultanem Cloud Computing (MSCC)
Enthalten in den Sammlungen:Publikationen School of Engineering

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