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A parallel Monte Carlo method for population balance modeling of particulate processes using bookkeeping strategy

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  • Wei, Jianming

Abstract

A Monte Carlo (MC) method using bookkeeping strategy for population balance modeling of particulate processes has been designed in this article. With this method the evaluation of coagulation time step can be done precisely. In an effort to achieve the best computational efficiency, the MC program is implemented on a many-core graphic processing unit (GPU) after being fully parallelized. Useful rules for optimizing the MC code are also suggested. The computational accuracy of the MC scheme is then verified by comparing with a deterministic sectional-method. Eventually the computational efficiency of the MC method is investigated.

Suggested Citation

  • Wei, Jianming, 2014. "A parallel Monte Carlo method for population balance modeling of particulate processes using bookkeeping strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 186-197.
    • Handle: RePEc:eee:phsmap:v:402:y:2014:i:c:p:186-197
    DOI: 10.1016/j.physa.2013.12.047
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    References listed on IDEAS

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    1. Garcia, Alejandro L. & van den Broeck, Christian & Aertsens, Marc & Serneels, Roger, 1987. "A Monte Carlo simulation of coagulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 143(3), pages 535-546.
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    Cited by:

    1. Ma, Tinghuai & Li, Lu & Ji, Sai & Wang, Xin & Tian, Yuan & Al-Dhelaan, Abdullah & Al-Rodhaan, Mznah, 2014. "Optimized Laplacian image sharpening algorithm based on graphic processing unit," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 400-410.

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