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Parallel Algorithm for Cell Dynamics Simulation of Soft Nano-Structured Matter

In: Parallel Scientific Computing and Optimization

Author

Listed:
  • Xiaohu Guo

    (School of Computing, Engineering and Physical Sciences, niversity of Central Lancashire Preston)

  • Marco Pinna

    (School of Computing, Engineering and Physical Sciences, niversity of Central Lancashire Preston)

  • Andrei V. Zvelindovsky

    (School of Computing, Engineering and Physical Sciences, niversity of Central Lancashire Preston)

Abstract

Cell dynamics simulation is a very promising approach to model dynamic processes in block copolymer systems at the mesoscale level. A parallel algorithm for large-scale simulation is described in detail. Several performance tuning methods based on SGI Altix are introduced. With the efficient strategy of domain decomposition and the fast method of neighboring points location, we greatly reduce the calculating and communicating cost and successfully perform simulations of large-scale systems with up to 5123 grids. The algorithm is implemented on 32 processors with the speedup of 28.4 and the efficiency of 88.9%.

Suggested Citation

  • Xiaohu Guo & Marco Pinna & Andrei V. Zvelindovsky, 2009. "Parallel Algorithm for Cell Dynamics Simulation of Soft Nano-Structured Matter," Springer Optimization and Its Applications, in: Parallel Scientific Computing and Optimization, pages 253-262, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-09707-7_22
    DOI: 10.1007/978-0-387-09707-7_22
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