SCHEDULE: NOV 12-18, 2011

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Large-Scale Computational Epidemiology Modeling using Charm++

SESSION: Research Poster Reception

EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Bernd Mohr

AUTHOR(S):Ashwin Aji, Tariq Kamal, Jae-Seung Yeom, Keith Bisset

ROOM:WSCC North Galleria 2nd/3rd Floors

ABSTRACT:
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 in large (10^8 individuals), realistic social contact networks using individual-based models. It includes a rich language for describing public policy and agent behavior. We describe CharmSimdemics 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 and leveraging scalable communication, synchronization and load balancing strategies of Charm++. Our experimental results show that the Charm++ version achieves up to a 4-fold increase in strong scaling on 796 PEs and 3-fold increase in weak scaling on 512 PEs when compared to the MPI version.

Chair/Author Details:

Bernd Mohr (Chair) - Juelich Supercomputing Centre

Ashwin Aji - Virginia Tech

Tariq Kamal - Virginia Tech

Jae-Seung Yeom - Virginia Tech

Keith Bisset - Virginia Tech

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