Using Multicore Technologies to Speed Up Complex Simulations of Population Evolution

Abstract

We explore with the use of multicore processing technologies for conducting simulations on population replacement of disease vectors. In our model, a native population of simulated vectors is inoculated with a small exogenous population of vectors that have been infected with the Wolbachia bacteria, which confers immunity to the disease. We conducted a series of computational simulations to study the conditions required by the invading population to take over the native population. Given the computational burden of this study, we decided to take advantage of modern multicore processor technologies for reducing the time required for the simulations. Overall, the results seem promising both in terms of the application and the use of multicore technologies.

A computer simulation model of Wolbachia invasion for disease vector population modification

“…Previously, we have developed computational tools and models as part of our research program, the aim of which is to use computer models to provide insight into the population dynamics of disease vectors. We have simulated a variety of gene drive mechanisms, such as transposable elements and the maternal effect dominant embryonic arrest, to predict the effectiveness and feasibility of these population replacement strategies for vector-borne disease control [ 13 – 16 ].…”