IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v402y2014icp186-197.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437113011886
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2013.12.047?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sabelfeld, Karl K., 2018. "A random walk on spheres based kinetic Monte Carlo method for simulation of the fluctuation-limited bimolecular reactions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 143(C), pages 46-56.
    2. Aertsens, Marc, 1988. "Simulation of the front deformation by diffusion induced coagulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 151(2), pages 193-206.
    3. Eibeck Andreas & Wagner Wolfgang, 2001. "Stochastic algorithms for studying coagulation dynamics and gelation phenomena," Monte Carlo Methods and Applications, De Gruyter, vol. 7(1-2), pages 157-166, December.
    4. Wagner, Wolfgang, 2003. "Stochastic, analytic and numerical aspects of coagulation processes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 62(3), pages 265-275.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:402:y:2014:i:c:p:186-197. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.