Faculty Advisor or Committee Member
Homer Walker, Advisor
"The complex growth patterns of malignant brain tumors can present challenges in developing accurate models. In particular, the computational costs associated with modeling a realistically sized tumor can be prohibitive. The use of high-performance computing (HPC) and novel mathematical techniques can help to overcome this barrier. This paper presents a parallel implementation of a model for the growth of glioma, a form of brain cancer, and discusses how HPC is being used to take a first step toward realistically sized tumor models. Also, consideration is given to the visualization process involved with large-scale computing. Finally, simulation data is presented with a focus on scaling."
Worcester Polytechnic Institute
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Skjerven, Brian M., "A Parallel Implementation of an Agent-Based Brain Tumor Model" (2007). Masters Theses (All Theses, All Years). 884.
Visualization, Numerical analysis, Computational biology, Scientific computation, High-performance computing, Brain, Tumors, Mathematical models