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International Conference on Mathematical Modeling and Scientific Computing
April 2-6, 2001
Middle East Technical University and Selcuk University
Ankara and Konya, Turkey

Organizers
F. Bornemann (Munich University of Tecnology, Germany), H. Bulgak (Selcuk University, Konya, Turkey), V. Ganzha (Munich University of Technology, Germany), B. Karasozen (METU, Ankara, Turkey), A. Sinan (Selcuk University, Konya, Turkey), C. Zenger (Munich University of Technology, Germany)

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Order-N Parallel Tight Binding Molecular Dynamics: Application to the Carbon Nanotubes
by
Cem Özdogan
Department of Physics, Middle East Technical University, Ankara, Turkey
Coauthors: Gulay Dereli(Department of Physics, METU)

Carbon nanotubes with their remarkable mechanical and electronic properties play a major role in the design of next generations nanoelectronic and nonoelectromechanical devices [Special issue, Physics World, June 2000]. Depending on their chirality carbon nanotubes could be conductor, semiconductor as well as insulators. Using Order-N (O(N)) parallel tight binding molecular dynamics method we have studied the structural stability and energetics of carbon nanotubes.

In classical tight binding calculations standard matrix diagonalization algorithms have a complexity that grows as cube of the system size (O(N3)) [Rep. Prog. Phys. 60 (1997) 1447]. In this work we have compared our O(N) [Computational Material Science 12 (1998) 157] algorithm with O(N3) algorithm on sequential computer. Then parallelization technique is applied to O(N) TBMD program. Our system contains 8 computer having celeron processors with fast ethernet and PVM (Parallel Virtual Machine) [www.epm.ornl.gov/pvm/] library. The results for sequential and parallel runs are compared and assured that they are the same both in numerical accuracy and in physical aspects. Our results show that parallelization technique is beneficial because of the nature of the O(N) algorithm. We will report our results of speed up, efficiency and the system size studies. In present situation, parallelization together with O(N) algorithm proves to be very effective and favorable.

Date received: February 15, 2001


Copyright © 2001 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cagk-59.