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The adaptive mesh and particle capabilities of AMReX have been used to implement a wide range of numerical methods, targeting combustion, plasma physics, earth systems modeling, cosmology, and more. This talk will show how they can also be used to implement a quite different type of algorithm: an agent-based model (ABM) for the spread of respiratory diseases called ExaEpi. ABMs are valuable because they provide a fundamental and natural description of the system and are able to capture emergent phenomena. However, their use in forecasting and control is limited by the difficulty in calibrating and quantifying the uncertainty associated with a large number of parameters. By leveraging AMReX, ExaEpi can help address these limitations by enabling many large ensembles to run quickly on exascale compute facilities.
