Reversible parallel discrete-event execution of large-scale epidemic outbreak models

Kalyan S. Perumalla, Sudip K. Seal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

The spatial scale, runtime speed and behavioral detail of epidemic outbreak simulations together require the use of large-scale parallel processing. In this paper, an optimistic parallel discrete event execution of a reaction-diffusion simulation model of epidemic outbreaks is presented, with an implementation over the μsik simulator. Rollback support is achieved with the development of a novel reversible model that combines reverse computation with a small amount of incremental state saving. Parallel speedup and other runtime performance metrics of the simulation are tested on a small (8,192-core) Blue Gene / P system, while scalability is demonstrated on 65,536 cores of a large Cray XT5 system. Scenarios representing large population sizes (up to several hundred million individuals in the largest case) are exercised.

Original languageEnglish
Title of host publication2010 IEEE Workshop on Principles of Advanced and Distributed Simulation, PADS 2010
Pages106-113
Number of pages8
DOIs
StatePublished - 2010
Event24th Annual Workshop on Principles of Advanced and Distributed Simulation, PADS 2010 - Atlanta, GA, United States
Duration: May 17 2010May 19 2010

Publication series

NameProceedings - Workshop on Principles of Advanced and Distributed Simulation, PADS

Conference

Conference24th Annual Workshop on Principles of Advanced and Distributed Simulation, PADS 2010
Country/TerritoryUnited States
CityAtlanta, GA
Period05/17/1005/19/10

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