• DocumentCode
    3231035
  • Title

    Parallel Numerical P systems using a MIMD based architecture

  • Author

    Reid, David ; Oddie, Amanda ; Hazlewood, Paul

  • Author_Institution
    Dept. of Comput. Sci., Liverpool Hope Univ., Liverpool, UK
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    1646
  • Lastpage
    1653
  • Abstract
    A membrane, or P system, is a biologically inspired computational modelling paradigm that simulates both the structure and dynamical processes of a cellular mechanism. The computational power of a membrane system is derived from the non-deterministic nature and the inherent parallelism of these structures and processes. Recently a number of researchers have tried to utilise this powerful computational paradigm to solve complex problems. Currently, parallelisation in practical implementations of this paradigm use a SIMD (Single Instruction Multiple Data) type approach, normally focusing on a specific aspect of the P system structure and applying this to the rest of the system in a parallel manner; in a few cases the rule selection algorithm has been parallelised for this purpose, the rules themselves being applied in a traditional sequential manner. In this paper we propose that a MIMD (Multiple Instruction Multiple Data) architecture is a closer representation of the biological membrane/P system structure and allows a degree of parallelism that is not possible using SIMD type approaches. We identify the elements of the membrane system that can be parallelised and also demonstrate how these elements can be parallelised using a MIMD approach. We examine how the XMOS XS1 Simulator, which has an architecture suited to MIMD, can be used to implement a Numerical P system. Furthermore we suggest that the temporal aspects of cellular aging may be simulated by a simple extension to the standard P system model.
  • Keywords
    biocomputing; parallel architectures; MIMD based architecture; SIMD; XMOS XS1 Simulator; biological membrane/P system structure; biologically inspired computational modelling paradigm; cellular aging; cellular mechanism; inherent parallelism; membrane system; multiple instruction multiple data architecture; nondeterministic nature; parallel numerical P systems; rule selection algorithm; single instruction multiple data type approach; Biological system modeling; Biomembranes; Computational modeling; Computer architecture; Numerical models; Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645257
  • Filename
    5645257