Keynote: Urgent high performance computing for real-time pandemic response and decision making

Workshop:Urgent HPC: HPC for Urgent Decision Making

Authors: Madhav Marathe (University of Virginia)

Abstract: COVID-19 pandemic represents an unprecedented global crisis. Its global economic, social and health is already staggering and will continue to grow. Computation and, more broadly, computational thinking plays a multi-faceted role in supporting global real-time epidemic science especially because controlled experiments are impossible in epidemiology. High performance computing, data science and new sources of massive amounts of data from device-mediated interactions have created unprecedented opportunities to prevent, detect and respond to pandemics.

Supporting the requests by policymakers as they study important questions pertaining to logistics, resource allocation, epidemic forecasts and intervention analysis remains a challenging computational problem. In this talk, I will discuss our institute's efforts to design and execute scalable high performance computing-enabled workflows to support real-time COVID-19 response and situation assessment.

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