Title :
An Improved Molecular Dynamics Algorithm for Large Scale Simulation in Nano-Engineering
Author :
Tang Yu-lan ; Chen Jia-xuan
Author_Institution :
Municipal & Environ. Eng. Inst., Shenyang Jianzhu Univ., Shenyang, China
Abstract :
Focusing on the special need of nano-engineering, an improved neighbor list algorithm for the ultra-large scale molecular dynamics (MD) simulation is proposed. The new algorithm is attempting to fully combine the advantages of both Verlet table and cell-linked list algorithms to accelerate the speed of neighbor list construction and update. In order to meet the requirement of nano-engineering that often requires the frequent update of the cell-linked lists and neighbor lists, the program employs the pointer link data structure so that both reliability and accuracy of the simulation can be ensured. The performance of molecular dynamics simulation is evaluated using the proposed algorithm and compared with those using conventional Verlet table and cell-linked list algorithms. Results show that the new algorithm outperforms the conventional cell-linked list algorithm by 2~3 times for systems of 104 ~ 106 atoms per single CPU.
Keywords :
molecular dynamics method; nanotechnology; Verlet table; cell-linked list algorithms; molecular dynamics algorithm; nanoengineering; neighbor list construction; pointer link data structure; ultralarge scale molecular dynamics simulation; Acceleration; Automation; Computational modeling; Data structures; Heuristic algorithms; Large-scale systems; Nanotechnology; Potential energy; Precision engineering; Predictive models; Verlet table; cell-linked list; molecular dynamics simulation; neighbor list;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.438