Parallel and Distributed Spatial Simulation of Chemical Reactions

  • Authors:
  • Matthias Jeschke;Alfred Park;Roland Ewald;Richard Fujimoto;Adelinde M. Uhrmacher

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
  • Year:
  • 2008

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Abstract

The application of parallel and distributed simulation techniques is often limited by the amount of parallelism available in the model. This holds true for large-scale cell-biological simulations, a field that has emerged as data and knowledge concerning these systems increases and biologists call for tools to guide wet-lab experimentation. A promising approach to exploit parallelism in this domain is the integration of spatial aspects, which are often crucial to a model's validity. We describe an optimistic, parallel and distributed variant of the Next-Subvolume Method (NSM), a method that augments the well-known Gillespie Stochastic Simulation Algorithm (SSA) with spatial features. We discuss requirements imposed by this application on a parallel discrete event simulation engine to achieve efficient execution. First results of combining NSM and the grid-inspired simulation system Aurora are shown.