• DocumentCode
    2690866
  • Title

    Parallel simulation of apoptotic receptor-clustering on GPGPU many-core architectures

  • Author

    Braun, Claus ; Daub, Markus ; Schöll, Alexander ; Schneider, Guido ; Wunderlich, Hans-Joachim

  • Author_Institution
    Inst. of Comput. Archit. & Comput. Eng., Univ. of Stuttgart, Stuttgart, Germany
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Apoptosis, the programmed cell death, is a physiological process that handles the removal of unwanted or damaged cells in living organisms. The process itself is initiated by signaling through tumor necrosis factor (TNF) receptors and ligands, which form clusters on the cell membrane. The exact function of this process is not yet fully understood and currently subject of basic research. Different mathematical models have been developed to describe and simulate the apoptotic receptor-clustering. In this interdisciplinary work, a previously introduced model of the apoptotic receptor-clustering has been extended by a new receptor type to allow a more precise description and simulation of the signaling process. Due to the high computational requirements of the model, an efficient algorithmic mapping to a modern many-core GPGPU architecture has been developed. Such architectures enable high-performance computing (HPC) simulation tasks on the desktop at low costs. The developed mapping reduces average simulation times from months to days (peak speedup of 256x), allowing the productive use of the model in research.
  • Keywords
    bioinformatics; biological techniques; biomembranes; cellular biophysics; graphics processing units; parallel processing; physiological models; tumours; GPGPU many-core architectures; HPC simulation tasks; algorithmic mapping; apoptosis; apoptotic receptor clustering; cell membrane; high-performance computing; ligands; parallel simulation; physiological process; programmed cell death; tumor necrosis factor receptors; Biological system modeling; Computational modeling; Computer architecture; Instruction sets; Mathematical model; Microprocessors; Sorting; GPGPU; apoptosis; numerical modeling; parallel particle simulation; receptor-clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2559-2
  • Electronic_ISBN
    978-1-4673-2558-5
  • Type

    conf

  • DOI
    10.1109/BIBM.2012.6392661
  • Filename
    6392661