• DocumentCode
    3241130
  • Title

    Parallel techniques for Virtual Cell

  • Author

    Rajasekaran, Sanguthevar ; Ammar, Reda ; Cheriyan, B. ; Loew, L.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA
  • fYear
    2004
  • fDate
    18-21 Dec. 2004
  • Firstpage
    391
  • Lastpage
    395
  • Abstract
    The Virtual Cell is a simulation package created by the National Resource for Cell Analysis and Modeling (NRCAM). It enables users to model cell biological processes [J.C. Schaff et al. (2001)]. The core of the Virtual Cell is solving a system of PDEs. Sequential runs of the Virtual Cell can take large amounts of time and hence parallelization is needed. In this paper we present a parallel implementation of a model that is inspired by the one-dimensional version of the Virtual Cell. Our experimental results show that this parallelization is quite effective. In particular, the speedups we obtain are good implying that the parallel techniques employed could improve the performance of the Virtual Cell.
  • Keywords
    biology computing; cellular biophysics; partial differential equations; physiological models; PDE; cell biological process; one-dimensional version; parallel technique implementation; partial differential equation; simulation package; virtual cell; Biological system modeling; Cells (biology); Chemicals; Computational modeling; Computer science; Finite difference methods; Geometry; Partial differential equations; Shape; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
  • Print_ISBN
    0-7803-8689-2
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2004.1433801
  • Filename
    1433801