@inproceedings{5951abea5a4f4926a69c3fddb5e91f0e,
title = "Simulating the spread of infectious disease over large realistic social networks using Charm++",
abstract = "Preventing and controlling outbreaks of infectious diseases such as pandemic influenza is a top public health priority. EpiSimdemics is an implementation of a scalable parallel algorithm to simulate the spread of contagion, including disease, fear and information, in large (108 individuals), realistic social contact networks using individual-based models. It also has a rich language for describing public policy and agent behavior. We describe Charm Simdemics and evaluate its performance on national scale populations. Charm++ is a machine independent parallel programming system, providing high-level mechanisms and strategies to facilitate the task of developing highly complex parallel applications. Our design includes mapping of application entities to tasks, leveraging the efficient and scalable communication, synchronization and load balancing strategies of Charm++. Our experimental results on a 768 core system show that the Charm++ version achieves up to a 4-fold increase in performance when compared to the MPI version.",
keywords = "Agent Based Simulation, Charm++, Computational Epidemiology, MPI, Parallel Efficiency and Scalability, Programming Models",
author = "Bisset, {Keith R.} and Aji, {Ashwin M.} and Eric Bohm and Kale, {Laxmikant V.} and Tariq Kamal and Marathe, {Madhav V.} and Yeom, {Jae Seung}",
year = "2012",
doi = "10.1109/IPDPSW.2012.65",
language = "English (US)",
isbn = "9780769546766",
series = "Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012",
pages = "507--518",
booktitle = "Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012",
note = "2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 ; Conference date: 21-05-2012 Through 25-05-2012",
}