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Kinetic‐Monte‐Carlo‐Based Parallel Evolution Simulation Algorithm of Dust Particles

Author

Listed:
  • Xiaomei Hu
  • Zhifeng Xu
  • Hongxia Cai
  • Junjun Hu

Abstract

The evolution simulation of dust particles provides an important way to analyze the impact of dust on the environment. KMC‐based parallel algorithm is proposed to simulate the evolution of dust particles. In the parallel evolution simulation algorithm of dust particles, data distribution way and communication optimizing strategy are raised to balance the load of every process and reduce the communication expense among processes. The experimental results show that the simulation of diffusion, sediment, and resuspension of dust particles in virtual campus is realized and the simulation time is shortened by parallel algorithm, which makes up for the shortage of serial computing and makes the simulation of large‐scale virtual environment possible.

Suggested Citation

  • Xiaomei Hu & Zhifeng Xu & Hongxia Cai & Junjun Hu, 2014. "Kinetic‐Monte‐Carlo‐Based Parallel Evolution Simulation Algorithm of Dust Particles," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnljam:v:2014:y:2014:i:1:n:839726
    DOI: 10.1155/2014/839726
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    References listed on IDEAS

    as
    1. Yu-xin Jie & Hui-na Yuan & Hou-de Zhou & Yu-zhen Yu, 2013. "Bending Moment Calculations for Piles Based on the Finite Element Method," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-19, June.
    2. Liyun Zhang & Zhangxin Chen, 2011. "A Stabilized Mixed Finite Element Method for Single-Phase Compressible Flow," Journal of Applied Mathematics, Hindawi, vol. 2011, pages 1-16, January.
    3. S. Razmyan & F. Hosseinzadeh Lotfi, 2012. "An Application of Monte-Carlo-Based Sensitivity Analysis on the Overlap in Discriminant Analysis," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-14, November.
    4. Congying Han & Tingting Feng & Guoping He & Tiande Guo, 2013. "Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    5. Fabio Henrique Pereira & Sílvio Ikuyo Nabeta, 2012. "A Parallel Wavelet‐Based Algebraic Multigrid Black‐Box Solver and Preconditioner," Journal of Applied Mathematics, John Wiley & Sons, vol. 2012(1).
    6. Liyun Zhang & Zhangxin Chen, 2011. "A Stabilized Mixed Finite Element Method for Single‐Phase Compressible Flow," Journal of Applied Mathematics, John Wiley & Sons, vol. 2011(1).
    7. Yu-xin Jie & Hui-na Yuan & Hou-de Zhou & Yu-zhen Yu, 2013. "Bending Moment Calculations for Piles Based on the Finite Element Method," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    8. Congying Han & Tingting Feng & Guoping He & Tiande Guo, 2013. "Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-7, April.
    9. S. Razmyan & F. Hosseinzadeh Lotfi, 2012. "An Application of Monte‐Carlo‐Based Sensitivity Analysis on the Overlap in Discriminant Analysis," Journal of Applied Mathematics, John Wiley & Sons, vol. 2012(1).
    10. Fabio Henrique Pereira & Sílvio Ikuyo Nabeta, 2012. "A Parallel Wavelet-Based Algebraic Multigrid Black-Box Solver and Preconditioner," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-15, June.
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