Worcester Polytechnic Institute Electronic Theses and Dissertations Collection

Title page for ETD etd-060507-172337


Document Typemasters report
Author NameSkjerven, Brian M.
URNetd-060507-172337
TitleA Parallel Implementation of an Agent-Based Brain Tumor Model
DegreeMS
DepartmentMathematical Sciences
Advisors
  • Homer Walker, Advisor
  • Keywords
  • Visualization
  • Numerical analysis
  • Computational biology
  • Scientific computation
  • High-performance computing
  • Date of Presentation/Defense2007-06-11
    Availability unrestricted

    Abstract

    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.

    Files
  • bskjerven.pdf

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