Date of Award
Master of Science (MS)
Information technology has aided tremendously in the growth of the medical sciences industry. Tissue simulation is one such area wherein information technology aids in the field of medical science. This project focuses on defining, designing, and developing a computational architecture that performs repetitive and rigorous tissue simulation runs under different conditions and utilizes parallel computation.
The goal of this work is to demonstrate a parallel network-based architecture involving multiple clients interacting with a server that sends and receives voluminous data. The project assumes large memory capacity for the clients and the servers, but limits bandwidth requirements. The work demonstrates a general purpose system designed to harness the power of parallel computation for use in the field of tissue simulation.
I thank Dr. Nick Flann f o r assisting me with this project and also in providing support during the course of my graduate program here at Utah State University.
I am grateful to my committee members, Dr. Curtis Dyreson and Dr. Dan Bryce, for their interest in this project and their valuable guidance.
I also thank Tanveer Zaman for his valuable input on Compucell which I used to test and validate various simulation models. I also thank my wife, family, and friends whose support helped me in accomplishing this project.
Iyer, Karthik, "An Extendable Software Architecture for Massively Parallel Biological Simulation" (2011). All Graduate Plan B and other Reports. 62.
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