The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop:SC21 SuperCompCloud: 5th International Workshop on Interoperability of Supercomputing and Cloud Technologies
Authors: Kumar Saurabh (Iowa State University), Santi Advani (RocketML Inc), Kendrick Tan (Iowa State University), Masado Ishii (University of Utah), Boshun Gao and Adarsh Krishnamurthy (Iowa State University), Hari Sundar (University of Utah), and Baskar Ganapathysubramanian (Iowa State University)
Abstract: Complex flow simulations are conventionally performed on HPC clusters. However, the limited availability of HPC resources 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, the public sector, 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 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 complex simulation software.