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UID:submissions.supercomputing.org_SC22_sess275_rpost117@linklings.com
SUMMARY:Loimos:  A Large-Scale Epidemic Simulation Framework for Realistic
  Social Contact Networks
DESCRIPTION:Posters, Research Posters\n\nLoimos:  A Large-Scale Epidemic S
 imulation Framework for Realistic Social Contact Networks\n\nKitson, Coste
 llo, Chen, Choi, Hoops...\n\nGlobal 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 th
 e study of potential impact and efficacy of those preemptive measures. Mod
 eling epidemic diffusion and possible interventions can help us in this go
 al. Agent-based models have been used effectively in the past to model con
 tagion processes. We present Loimos, a highly parallel simulation of epide
 mic 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 efficiently utilize a large number of cores on different HPC platforms,
  namely, we scale to about 32k cores on Theta at ALCF and about 4k cores o
 n Cori at NERSC.\n\nRegistration Category: Tech Program Reg Pass, Exhibits
  Reg Pass
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