Parallel computing for lattice Monte Carlo simulation of large-scale thin film growth

Jiwu Shu, Weimin Zheng, Qin Lu, Hanchen Huang, Wai On Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)103-110
Number of pages8
JournalScience in China, Series F: Information Sciences
Issue number2
Publication statusPublished - 1 Dec 2002


  • Domain decomposition
  • Monte Carlo method
  • Parallel computing
  • Thin film growth

ASJC Scopus subject areas

  • General Computer Science


Dive into the research topics of 'Parallel computing for lattice Monte Carlo simulation of large-scale thin film growth'. Together they form a unique fingerprint.

Cite this