Loimos: A Large-Scale Epidemic Simulation Framework for Realistic SocialContact Networks
Joy Kitson, University of Maryland, College Park
Global pandemics can wreak havoc and lead to significant social, economic and personal losses. Preventing the spread of infectious diseases requires interventions at different levels needing the study of potential impact and efficacy of those preemptive measures. Modeling epidemic diffusion and possible interventions can help us in this goal. Agent-based models have been used effectively in the past to model contagion processes. We present Loimos, a highly parallel simulation of epidemic diffusion written on top of the Charm++ asynchronous task-based system. Loimos uses a hybrid time-stepped and discrete-event simulation to model disease spread. We demonstrate that our implementation of Loimos is able to scale on to large core counts on different HPC platforms such as Theta at ALCF and Rivanna at the University of Virginia.
Abstract Author(s): Joy Kitson, Ian Costello, Jiangzhuo Chen, Jaemin Choi, Stefan Hoops, Esteban Meneses, Diego Jimenez, Henning Mortveit, Jae-Seung Yeom, Laxmikant V. Kale, Madhav V. Marathe, Abhinav Bhatele