Fast distributed phononic band-structure calculations through a GPU accelerated mixed-variational formulation
Department of Mechanical, Materials, and Aerospace Engineering Illinois Institute of Technology, Chicago, IL, 60616 USA
arXiv:1310.6380 [cond-mat.mtrl-sci], (23 Oct 2013)
@article{2013arXiv1310.6380S,
author={Srivastava}, A.},
title={"{Fast distributed phononic band-structure calculations through a GPU accelerated mixed-variational formulation}"},
journal={ArXiv e-prints},
archivePrefix={"arXiv"},
eprint={1310.6380},
primaryClass={"cond-mat.mtrl-sci"},
keywords={Condensed Matter – Materials Science, Physics – Computational Physics},
year={2013},
month={oct},
adsurl={http://adsabs.harvard.edu/abs/2013arXiv1310.6380S},
adsnote={Provided by the SAO/NASA Astrophysics Data System}
}
In this paper we present a Graphical Processing Unit accelerated mixed variational formulation for fast phononic band-structure calculation of arbitrarily complex unit cells and report speed gains of a hundred fold over unoptimized serial cpu computations. To the author’s knowledge this is the first application of gpu computing to a non-FE/FDTD bandstructure algorithm. The formulation is presented in a form which is applicable to 1-, 2-, and 3-D cases. However, in this paper we concentrate on optimizing the formulation within the paradigm of gpu computing, presenting results for 2-D unit cells. We describe the application of the formulation with a long term view towards highly efficient and massively distributed band-structure algorithms suitable for tackling optimization and inverse problems. We report that the accurate band-structure evaluation over the boundary of the Irreducible Brillouin Zone (IBZ) for the first 18 phononic branches of a complex 2-D unit cell (with 1132 different phases) can be achieved in less than 20 seconds on a regular desktop. For a simpler unit cell, the first few phononic branches are calculated in less than 2.5 seconds on the same system. The scheme presented in this paper, therefore, represents considerable savings in the computational costs of phononic band-structures.
October 29, 2013 by hgpu
