Case study of SARS-CoV-2 transmission risk assessment in indoor environments using cloud computing resources
2021 SC Workshops Supplementary, SCWS 2021
; : 79-86, 2021.
Article
in English
| Scopus | ID: covidwho-1794800
ABSTRACT
Complex flow simulations are conventionally performed on HPC clusters. However, the limited availability of HPC resources and steep learning curve of executing on traditional supercomputer infrastructure has drawn attention towards deploying flow simulation software on the cloud. We showcase how a complex computational framework-that can evaluate COVID-19 transmission risk in various indoor classroom scenarios-can be ed and deployed on cloud services. The availability of such cloud-based personalized planning tools can enable educational institutions, medical institutions, public sector workers (courthouses, police stations, airports, etc.), and other entities to comprehensively evaluate various in-person interaction scenarios for transmission risk. We deploy the simulation framework on the Azure cloud framework, utilizing the Dendro-ktmesh generation tool and PETSc solvers. The cloud ion is provided by RocketML cloud infrastructure. We compare the performance of the cloud machines with state-of-the-art HPC machine TACC Frontera. Our results suggest that cloud-based HPC resources are a viable strategy for a diverse array of end-users to rapidly and efficiently deploy simulation software. © 2021 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Case report
/
Prognostic study
Language:
English
Journal:
2021 SC Workshops Supplementary, SCWS 2021
Year:
2021
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS