Accelerated unconditionally stable FDTD scheme with modified operators
ISSN: 0332-1649
Article publication date: 7 September 2015
Abstract
Purpose
The locally one-dimensional (LOD) finite-difference time-domain (FDTD) method features unconditional stability, yet its low accuracy in time can potentially become detrimental. Regarding the improvement of the method’s reliability, existing solutions introduce high-order spatial operators, which nevertheless cannot deal with the augmented temporal errors. The purpose of the paper is to describe a systematic procedure that enables the efficient implementation of extended spatial stencils in the context of the LOD-FDTD scheme, capable of reducing the combined space-time flaws without additional computational cost.
Design/methodology/approach
To accomplish the goal, the authors introduce spatial derivative approximations in parametric form, and then construct error formulae from the update equations, once they are represented as a one-stage process. The unknown operators are determined with the aid of two error-minimization procedures, which equally suppress errors both in space and time. Furthermore, accelerated implementation of the scheme is accomplished via parallelization on a graphics-processing-unit (GPU), which greatly shortens the duration of implicit updates.
Findings
It is shown that the performance of the LOD-FDTD method can be improved significantly, if it is properly modified according to accuracy-preserving principles. In addition, the numerical results verify that a GPU implementation of the implicit solver can result in up to 100× acceleration. Overall, the formulation developed herein describes a fast, unconditionally stable technique that remains reliable, even at coarse temporal resolutions.
Originality/value
Dispersion-relation-preserving optimization is applied to an unconditionally stable FDTD technique. In addition, parallel cyclic reduction is adapted to hepta-diagonal systems, and it is proven that GPU parallelization can offer non-trivial benefits to implicit FDTD approaches as well.
Keywords
Acknowledgements
This work has been co-financed by the European Union and Greek funds via NSRF – Research Funding Program: Aristeia. The GTX Titan GPU used for this research was donated by the NVIDIA Corporation.
Citation
Zygiridis, T., Pyrialakos, G., Kantartzis, N. and Tsiboukis, T. (2015), "Accelerated unconditionally stable FDTD scheme with modified operators", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 34 No. 5, pp. 1564-1577. https://doi.org/10.1108/COMPEL-02-2015-0085
Publisher
:Emerald Group Publishing Limited
Copyright © 2015, Emerald Group Publishing Limited