Worcester Polytechnic Institute Electronic Theses and Dissertations Collection

Title page for ETD etd-060507-172337

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


    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.

  • bskjerven.pdf

  • Browse by Author | Browse by Department | Search all available ETDs

    [WPI] [Library] [Home] [Top]

    Questions? Email etd-questions@wpi.edu
    Maintained by webmaster@wpi.edu