| Publication type: | Conference other |
| Type of review: | Peer review (abstract) |
| Title: | KaleidoSim : massive simultaneous cloud computing for multiphysics simulations |
| Authors: | Boiger, Gernot Kurt Sharman, Darren Drew, Dominic |
| et. al: | No |
| Proceedings: | Multiphysics 2021 |
| Page(s): | 29 |
| Conference details: | International Conference of Multiphysics, Online, 9-10 December 2021 |
| Issue Date: | Dec-2021 |
| Publisher / Ed. Institution: | International Society of Multiphysics |
| ISSN: | 2409-1669 2409-7527 |
| Language: | English |
| Subjects: | Multiphysics; Cloud; Cloud computing; MSCC; Simulation; CFD |
| Subject (DDC): | 530: Physics |
| Abstract: | The 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. |
| URI: | https://youtu.be/BkVXq6ZPsbQ https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/61a4a918db92b17c6a8ce63e/1638181147118/MULTIPHYSICS+2021+Abstract+Booklet.pdf https://digitalcollection.zhaw.ch/handle/11475/23888 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computational Physics (ICP) |
| Published as part of the ZHAW project: | Experimentaldesign für Simulationsläufe mittels Massivem Simultanem Cloud Computing (MSCC) |
| Appears in collections: | Publikationen School of Engineering |
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Boiger, G. K., Sharman, D., & Drew, D. (2021). KaleidoSim : massive simultaneous cloud computing for multiphysics simulations [Conference presentation]. Multiphysics 2021, 29. https://youtu.be/BkVXq6ZPsbQ
Boiger, G.K., Sharman, D. and Drew, D. (2021) ‘KaleidoSim : massive simultaneous cloud computing for multiphysics simulations’, in Multiphysics 2021. International Society of Multiphysics, p. 29. Available at: https://youtu.be/BkVXq6ZPsbQ.
G. K. Boiger, D. Sharman, and D. Drew, “KaleidoSim : massive simultaneous cloud computing for multiphysics simulations,” in Multiphysics 2021, Dec. 2021, p. 29. [Online]. Available: https://youtu.be/BkVXq6ZPsbQ
BOIGER, Gernot Kurt, Darren SHARMAN und Dominic DREW, 2021. KaleidoSim : massive simultaneous cloud computing for multiphysics simulations. In: Multiphysics 2021 [online]. Conference presentation. International Society of Multiphysics. Dezember 2021. S. 29. Verfügbar unter: https://youtu.be/BkVXq6ZPsbQ
Boiger, Gernot Kurt, Darren Sharman, and Dominic Drew. 2021. “KaleidoSim : Massive Simultaneous Cloud Computing for Multiphysics Simulations.” Conference presentation. In Multiphysics 2021, 29. International Society of Multiphysics. https://youtu.be/BkVXq6ZPsbQ.
Boiger, Gernot Kurt, et al. “KaleidoSim : Massive Simultaneous Cloud Computing for Multiphysics Simulations.” Multiphysics 2021, International Society of Multiphysics, 2021, p. 29, https://youtu.be/BkVXq6ZPsbQ.
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