NDLI: Simulating the Spread of Infectious Disease over Large Realistic Social Networks Using Charm++

Content Provider	IEEE Xplore Digital Library
Author	Bisset, K.R. Aji, A.M. Bohm, E. Kale, L.V. Kamal, T. Marathe, M.V. Jae-Seung Yeom
Copyright Year	2012
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.
Starting Page	507
Ending Page	518
File Size	1049985
Page Count	12
File Format	PDF
ISBN	9781467309745
DOI	10.1109/IPDPSW.2012.65
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Object oriented modeling MPI Agent Based Simulation Synchronization Computational Epidemiology Program processors Runtime Charm++ Parallel Efficiency and Scalability Programming Models Load management Load modeling
Content Type	Text
Resource Type	Article

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