The application of GPU to molecular communication studies

<p>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.</p>

Name thesis:degree_name

Master of Science (MS) in Computer Science

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Year

2018

Author dc:creator

• Cain, Tobias J.

• Graphics and Human Computer Interfaces
• Numerical Analysis and Scientific Computing
• Software Engineering

Statement dc:rights

• Access is available to all users

Repository record dc:identifier

https://dc.ewu.edu/theses/488

OAI identifier oai:identifier

oai:dc.ewu.edu:theses-1490