Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10049
Title: Parallel computing for lattice Monte Carlo simulation of large-scale thin film growth
Authors: Shu, J
Zheng, W
Lu, Q 
Huang, H
Wong, WO 
Keywords: Domain decomposition
Monte Carlo method
Parallel computing
Thin film growth
Issue Date: 2002
Publisher: Science in China
Source: Science in China. Series F, Information sciences, 2002, v. 45, no. 2, p. 103-110 How to cite?
Journal: Science in China. Series F, Information sciences 
Abstract: This paper proposes two viable computing strategies for distributed parallel systems: domain division with sub-domain overlapping and asynchronous communication. We have implemented a parallel computing procedure for simulation of Ti thin film growing process of a system with 1000 x 1000 atoms by means of the Monte Carlo (MC) method. This approach greatly reduces the computation time for simulation of large-scale thin film growth under realistic deposition rates. The multi-lattice MC model of deposition comprises two basic events: deposition, and surface diffusion. Since diffusion constitutes more than 90% of the total simulation time of the whole deposition process at high temperature, we concentrated on implementing a new parallel diffusion simulation that reduces communication time during simulation. Asynchronous communication and domain overlapping techniques are used to reduce the waiting time and communication time among parallel processors. The parallel algorithms we propose can simulate the thin film growth of a system with many more particles than before under realistic deposition rates, and can provide a more efficient means for computer simulation of thin film growth.
URI: http://hdl.handle.net/10397/10049
ISSN: 1009-2757
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