Date of Award
Spring 2018
Rights
Access is available to all users
Date Available to Non-EWU Users
June 2019
Document Type
Thesis
Degree Name
Master of Science (MS) in Computer Science
Department
Computer Science
Abstract
This thesis applies the recent trends in parallel processing, via graphics processing unit (GPU), to the field of molecular communications (MC), an investigation into communication possibilities of futuristic in vivo nanomachines. Existing MC simulations have not fully accounted for structural boundaries and the associated simulation of a massive number of messenger molecule paths for stochastic evaluation. These molecules are influenced by a Brownian motion as well as the flow of the blood, which is modeled using numerical methods based on the Fokker-Planck stochastic differential equation. By using a GPU these paths can be calculated on a massive scale, both in the number of simulated paths, and the number of time steps. The use of a GPU also allows for other obstacles and complications to be added to the path of those molecules in future works. This study should enable and expedite existing as well as future study in the MC field.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Cain, Tobias J., "The application of GPU to molecular communication studies" (2018). EWU Masters Thesis Collection. 488.
https://dc.ewu.edu/theses/488
Included in
Graphics and Human Computer Interfaces Commons, Numerical Analysis and Scientific Computing Commons, Software Engineering Commons
