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

被引：1

作者：

Hu, Xiaomei ^{[1
]}

Xu, Zhifeng ^{[1
]}

Cai, Hongxia ^{[1
]}

Hu, Junjun ^{[1
]}

机构：

[1] Shanghai Univ, Sch Mech Engn & Automat, Shanghai Key Lab Mech Automat & Robot, Shanghai 200072, Peoples R China

来源：

JOURNAL OF APPLIED MATHEMATICS | 2014年

关键词：

MODEL; DEPOSITION; AIR;

D O I：

10.1155/2014/839726

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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.

引用

页数：11

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