TY - JOUR
T1 - Digital transformation of droplet/aerosol infection risk assessment realized on “Fugaku” for the fight against COVID-19
AU - Ando, Kazuto
AU - Bale, Rahul
AU - Li, Chung Gang
AU - Matsuoka, Satoshi
AU - Onishi, Keiji
AU - Tsubokura, Makoto
N1 - Funding Information:
Computational resources of Fugaku were provided through the HPCI System Research Project (Project ID: hp210086, hp210242, hp210262) as well as the Fugaku’s COVID-19 project by MEXT with Riken. This work has also been partially supported by JST CREST Grant Number JPMJCR20H7, Japan. We sincerely thank Prof. Akiyoshi Iida (Toyohashi University of Technology), Prof. Masashi Yamakawa (Kyoto Institute of Technology), Prof. Naoki Kagi (Tokyo Institute of Technology), and Prof. Kazuhide Ito (Kyushu University) for their invaluable advice, support and discussions relating to this work. We are also grateful to Kajima Corporation and Daikin Industries, Ltd. for collaborative support from the early stages of this work.
Publisher Copyright:
© The Author(s) 2022.
PY - 2022/11
Y1 - 2022/11
N2 - 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.
AB - 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.
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U2 - 10.1177/10943420221116056
DO - 10.1177/10943420221116056
M3 - Article
AN - SCOPUS:85139506511
SN - 1094-3420
VL - 36
SP - 568
EP - 586
JO - International Journal of High Performance Computing Applications
JF - International Journal of High Performance Computing Applications
IS - 5-6
ER -