Performance Enhancement and Equivalence Criteria for Cellular Automaton-Based Tumor Simulations

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This paper describes a performance enhancement to a cellular automaton-based simulation of tumor growth. A cellular automaton is a grid-based data structure whose elements are updated according to specific rules. Elements represent small areas of simulated tissue and contain local cell population and nutrient concentration data for those areas. The simulation's computational efficiency is enhanced by suppressing updates to \\emph{steady-state} tissue locations, areas with little change in nutrient concentration or cell population. This modification produces different tissue development from the original, canonical method in which all tissue areas are updated on every timestep. This paper defines several criteria by which a modified, efficient simulation can be considered equivalent to an original, canonical method; these criteria are applied to determine whether or not the performance enhancement can be considered equivalent to the original simulation.

    Item Description
    Name(s)
    Thesis advisor: Aaron, Eric
    Date
    May 01, 2008
    Extent
    100 pages
    Language
    eng
    Genre
    Physical Form
    electronic
    Discipline
    Rights and Use
    In Copyright – Non-Commercial Use Permitted
    Digital Collection
    PID
    ir:674