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Abstract

The fastest supercomputer in 2020, Fugaku, has not only achieved digital transformation of epidemiology in allowing end-to-end, detailed quantitative modeling of COVID-19 transmissions for the first time but also transformed the behavior of the entire Japanese public through its detailed analysis of transmission risks in multitudes of societal situations entailing heavy risks. A novel aerosol simulation methodology was synthesized out of a combination of a new CFD methods meeting industrial demands in the solver, CUBE (Jansson et al., 2019), which not only allowed the simulations to scale massively with high resolution required for micrometer virus-containing aerosol particles but also enabled extremely rapid time-to-solution due to its ability to generate the digital twins representing multitudes of societal situations in a matter of minutes, attaining true overall application high performance; such simulations have been running for the past 1.5°years on Fugaku, cumulatively consuming top supercomputer-class resources and the communicated by the media as well as becoming the basis for official public policies.

Keywords

COVID-19 computational fluid dynamics building cube method immersed boundary method dirty CAD droplet/aerosol transmission societal behavioral change

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References

Bale

Iida

Yamakawa

, et al. (2021a) Quantifying the covid19 infection risk due to droplet/aerosol inhalation. arXiv ■: ■.

Bale

Yamakawa

, et al. (2021b) Simulation of Droplet Dispersion in COVID-19 Type Pandemics on Fugaku. New York, NY, USA: Association for Computing Machinery. DOI: 10.1145/3468267.3470575

Bale

Wang

, et al. (2020) A scalable framework for numerical simulation of combustion in internal combustion engines. In: Proceedings of the Platform for Advanced Scientific Computing Conference, PASC ’20. New York, NY, USA: Association for Computing Machinery, p. 10. DOI: 10.1145/3394277.3401859.

Cao

Tamura

Kawai

, et al. (2019) Investigation of wall pressures and surface flow patterns on a wall-mounted square cylinder using very high-resolution Cartesian mesh. Journal of Wind Engineering and Industrial Aerodynamics 188: 1–18. DOI: 10.1016/j.jweia.2019.02.013

Fujitsu (2019) Supercomputer ”Fugaku”. Available at: https://www.fujitsu.com/emeia/imagesgig5/supercomputer-fugaku.pdf (Accessed 10 July 2021).

Furukawa

Shiozawa

Koyama

, et al. (2004) Application of CFD aerodynamic computation methods to new vehicle development based on a model that reproduces a engine bay and floor. JSAE Paper 20045513.

Ghias

Mittal

Dong

, et al. (2007) A sharp interface immersed boundary method for compressible viscous flows. Journal of Computational Physics 225(1): 528–553. DOI: 10.1016/j.jcp.2006.12.007

Jansson

Bale

Onishi

, et al. (2019) Cube: a scalable framework for large-scale industrial simulations. The International Journal of High Performance Computing Applications 33(4): 678–698. DOI: 10.1177/1094342018816377

Tsubokura

Bale

, et al. (2016) Framework for simulation of natural convection in practical applications. International Communications in Heat and Mass Transfer 75: 52–58. DOI: 10.1016/j.icheatmasstransfer.2016.03.022

10.

Tsubokura

, et al. (2015) Compressible direct numerical simulation with a hybrid boundary condition of transitional phenomena in natural convection. International Journal of Heat and Mass Transfer 90: 654–664.

11.

Yoshinaga

, et al. (2021) Numerical investigation of effects of incisor angle on production of sibilant/s. Scientific Reports 11: 16720. DOI: 10.1038/s41598-021-96173-2

12.

Nakahashi

(2003) Building-cube method for flow problems with broadband characteristic length. Computational Fluid Dynamics 2002:77–81. DOI: 10.1007/978-3-642-59334-5

13.

Onishi

Ando

Nakasato

, et al. (2018) Evaluation of an open-grill vehicle aerodynamics simulation method considering dirty CAD geometries. SAE International Journal of Engines ■: ■. DOI: 10.4271/2018-01-0733

14.

Onishi

Tsubokura

(2021) Topology-free immersed boundary method for incompressible turbulence flows: an aerodynamic simulation for “dirty” cad geometry. Computer Methods in Applied Mechanics and Engineering 378: 113734.

15.

Peskin

(1972) Flow patterns around heart valves: a numerical method. Journal of Computational Physics 10(2): 252–271. DOI: 10.1016/0021-9991(72)90065-4

16.

R-CCS (2021) About Fugaku. Available at: https://www.r-ccs.riken.jp/en/fugaku/about/ (Accessed 10 July 2021).

17.

RIKEN (2021) Fugaku Earns “Quadruple Crown” for Third Consecutive Term. Available at: https://www.riken.jp/en/news_pubs/news/2021/20210628_3/ (Accessed 10 July 2021).

18.

TOP500 (2021) TOP500 June 2021. Available at: https://www.top500.org/lists/top500/2021/06/ (Accessed 10 July 2021).

19.

University of Tokyo (2021a) Oakbridge-CX Supercomputer System. Available at: https://www.cc.u-tokyo.ac.jp/en/supercomputer/obcx/service/ (Accessed 10 July 2021).

20.

University of Tokyo (2021b) Oakforest-PACS Supercomputer System. Available at: https://www.cc.u-tokyo.ac.jp/en/supercomputer/ofp/service/ (Accessed 10 July 2021).

21.

Weiss

Smith

(1995) Preconditioning applied to variable and constant density flows. AIAA Journal 33(11): 2050–2057.

22.

Yoshida

(2018) Fujitsu high performance CPU for the Post-K computer. In: Hot Chips. ■: ■. Vol. 30, p. 22).

Digital transformation of droplet/aerosol infection risk assessment realized on “Fugaku” for the fight against COVID-19

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