Efficient and accurate linear algebraic methods for large-scale electronic structure calculations with nonorthogonal atomic orbitals

H. Teng, T. Fujiwara, T. Hoshi, T. Sogabe, S.-L. Zhang, and S. Yamamoto
Phys. Rev. B 83, 165103 – Published 6 April 2011

Abstract

The need for large-scale electronic structure calculations arises recently in the field of material physics, and efficient and accurate algebraic methods for large simultaneous linear equations become greatly important. We investigate the generalized shifted conjugate orthogonal conjugate gradient method, the generalized Lanczos method, and the generalized Arnoldi method. They are the solver methods of large simultaneous linear equations of the one-electron Schrödinger equation and map the whole Hilbert space to a small subspace called the Krylov subspace. These methods are applied to systems of fcc Au with the NRL tight-binding Hamiltonian [F. Kirchhoff et al., Phys. Rev. B 63, 195101 (2001)]. We compare results by these methods and the exact calculation and show them to be equally accurate. The system size dependence of the CPU time is also discussed. The generalized Lanczos method and the generalized Arnoldi method are the most suitable for the large-scale molecular dynamics simulations from the viewpoint of CPU time and memory size.

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  • Received 13 August 2010

DOI:https://doi.org/10.1103/PhysRevB.83.165103

©2011 American Physical Society

Authors & Affiliations

H. Teng1,*, T. Fujiwara1,2,†, T. Hoshi2,3, T. Sogabe2,4, S.-L. Zhang2,5, and S. Yamamoto2,6

  • 1Center for Research and Development of Higher Education, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan
  • 2Core Research for Evolutional Science and Technology, Japan Science and Technology Agency (CREST-JST), Japan
  • 3Department of Applied Mathematics and Physics, Tottori University, Tottori 680-8550, Japan
  • 4School of Information Science and Technology, Aichi Prefecture University, Nagakute-cho, Aichi 480-1198, Japan
  • 5Department of Computational Science and Engineering, Nagoya University, Chikusa-ku, Nagoya 464-8603, Japan
  • 6School of Computer Science, Tokyo University of Technology, Katakura-machi, Hachioji, Tokyo 192-0982, Japan

  • *Present address: Institute of Mechanics, Chinese Academy of Sciences, Beijing, China.
  • fujiwara@coral.t.u-tokyo.ac.jp

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Issue

Vol. 83, Iss. 16 — 15 April 2011

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