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

被引：7
|
作者：
Wei, Jianming [1 ]
机构：
[1] Univ Duisburg Essen, CENIDE Ctr Nanointegrat Duisburg Essen, Fac Engn Sci, Inst Nanostruct & Technol, D-47057 Duisburg, Germany
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2014年 / 402卷
关键词：
Monte Carlo; Population balance; Particulate; Bookkeeping; GPU; DISCRETE-SECTIONAL MODEL; PARTICLE COAGULATION; AEROSOL COAGULATION; SIMULATION; DYNAMICS; GROWTH;
D O I：
10.1016/j.physa.2013.12.047
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
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. (C) 2014 Published by Elsevier B.V.
引用
收藏
页码：186 / 197
页数：12
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