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The spatial scale, runtime speed, and behavioral detail of epidemic outbreak simulations altogether require the use of large-scale parallel processing. Here, an optimistic parallel discrete event execution of a reaction-diffusion simulation model is presented. 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 system aredoi:10.1109/pads.2010.5471657 dblp:conf/pads/PerumallaS10 fatcat:jtshe4qgkbej7ezhsp2aicbve4