• DocumentCode
    83196
  • Title

    Large-Scale Parallel Simulations of 3D Cell Colony Dynamics

  • Author

    Cytowski, Maciej ; Szymanska, Zuzanna

  • Author_Institution
    ICM, Univ. of Warsaw, Warsaw, Poland
  • Volume
    16
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept.-Oct. 2014
  • Firstpage
    86
  • Lastpage
    95
  • Abstract
    Biological processes are inherently complex and involve many unknown relationships and mechanisms at different scales. Despite many efforts, researchers still can´t explain all of the observed phenomena and, if necessary, make any desirable changes in the dynamics. Recently, it has become apparent that a research opportunity lies in complementing the traditional, heuristic experimental approach with mathematical modeling and computer simulations. Achieving a simulation scale that corresponds, for instance, to clinically detectable tumor sizes is still a huge challenge, however, this scale is necessary to understand and control complex biological processes. This article presents a novel, high-performance computational approach allowing simulations of 3D cell colony dynamics at a previously unavailable tissue scale. Due to its high parallel scalability, the method achieves simulation of cell colonies composed of 109 cells, which allows for describing tumor growth in its early clinical stage.
  • Keywords
    bioinformatics; cellular biophysics; digital simulation; parallel processing; tumours; 3D cell colony dynamics; biological processes; cell colony simulation; clinically detectable tumor sizes; computer simulations; heuristic experimental approach; high-performance computational approach; large-scale parallel simulations; mathematical modeling; tumor growth; Biological system modeling; Computational modeling; Computer architecture; Density functional theory; Mathematical model; Microprocessors; Parallel processing; HPC; bioinformatics; high-performance computing; parallel scalability; scientific computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2014.2
  • Filename
    6728930