  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 abstracted 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-kT mesh generation tool and PETSc solvers. The
cloud abstraction 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.
