Graphics processor unit (GPU) acceleration of finite-difference time-domain (FDTD) algorithm
Calgary University, Alta., Canada
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004. ISCAS ’04
@inproceedings{krakiwsky2004graphics,
title={Graphics processor unit (GPU) acceleration of finite-difference time-domain (FDTD) algorithm},
author={Krakiwsky, S.E. and Turner, L.E. and Okoniewski, M.M.},
booktitle={Circuits and Systems, 2004. ISCAS’04. Proceedings of the 2004 International Symposium on},
volume={5},
pages={V–265},
year={2004},
organization={IEEE}
}
The finite-difference time-domain (FDTD) algorithm has become a tool of choice in many areas of RF and microwave engineering and optics. However, FDTD runs too slow for some simulations to be practical, even when carried out on supercomputers. The development of dedicated hardware to accelerate FDTD computations has been investigated. In this paper, we demonstrate that off-the-shelf graphics processor units (GPUs) can be successfully used to accelerate FDTD simulations. Using C++, OpenGL, and several OpenGL extensions, a modern GPU has been programmed to solve a simple two dimensional electromagnetic scattering problem. The GPU outperforms a central processing unit (CPU) of comparable technology generation.
May 18, 2011 by hgpu
