4.7 Article

A small box Fast Fourier Transformation method for fast Poisson solutions in large systems

Journal

COMPUTER PHYSICS COMMUNICATIONS
Volume 184, Issue 12, Pages 2693-2702

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.cpc.2013.07.010

Keywords

Small box; FFT; Coulomb; Large scale; First-principle; Poisson equation; Parallel

Funding

  1. Office of Naval Research through Princeton University [00001914]
  2. Office of Naval Research through U.S. Department of Energy [DE-AC02-05CH11231]
  3. National Basic Research Program of China (973 Program) [G2009CB929300]
  4. National Natural Science Foundation of China [61121491, 61106091]

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We present a new divide-and-conquer algorithm to efficiently evaluate the Coulomb interaction in a large system, which is an essential part of self-consistent first-principle calculations. The total Coulomb potential phi(r) = 1/vertical bar r vertical bar is divided into a short range part phi(S)(r) and a smooth long range part phi(L)(r). The system is divided into many cuboids, with a small box defined for each cuboid plus a buffer region. For the short range part, the interaction convolution integral is calculated directly using a Fast Fourier Transformation (FFT) in the small box. For the smooth long range part, the convolution integral is evaluated by a global FFT but on a coarse grid. The conversion between the dense grid and coarse grid values is done using small box FFTs with proper mask functions. Using this small box FFT method, the total Coulomb potentials of test quantum dot systems on 480(3) grid and 2400(3) grid are calculated. For the 2400(3) grid case, the calculation is carried out by tens of thousands of processors with a computational speed up close to 10 times when compared with direct global FFT calculations using the FFTW package with the maximumly allowed number of processors. The maximum relative error is 4 x 10(-5) while the absolute error is less than 0.1 meV. (C) 2013 Elsevier B.V. All rights reserved.

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