Applying desktop GPUs to a hybrid ABM and PDM: model validation and rapid simulation of viral infectionsShow full item record
Title | Applying desktop GPUs to a hybrid ABM and PDM: model validation and rapid simulation of viral infections |
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Author | Fain, Baylor |
Date | 2021 |
Genre | Thesis |
Degree | Master of Science |
Abstract | For many years, infectious disease modelers have used agent-based models to study the spread of viruses, but the models were too computationally intensive to fully replicate even in vitro experiments. Now, with technological advancements and accessible software, agent-based models can be used to their full potential. This thesis shows an agent-based model that expresses viral transmission and diffusion, can manipulate and track individual cells, and can be fit to real experimental data in a timely manner due to acceleration of computation with graphics processing units (GPUs). The use of GPUs allows simulations to run on desktop computers in a few seconds or minutes, while still simulating an accurate number of cells to replicate \emph{in vitro} viral infection experiments. This model can now be used to study in-host infections quickly, so that in the event of an outbreak or epidemic a treatment plan and course of action can be developed in less time. |
Link | https://repository.tcu.edu/handle/116099117/48052 |
Department | Physics and Astronomy |
Advisor | Dobrovolny, Hana M. |
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- Masters Theses [4144]
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