2017-09-15
Multiple-GPU-Based Frequency-Dependent Finite-Difference Time Domain Formulation Using MATLAB Parallel Computing Toolbox
By
Progress In Electromagnetics Research M, Vol. 60, 93-100, 2017
Abstract
A parallel frequency-dependent, finite-difference time domain method is used to simulate electromagnetic waves propagating in dispersive media. The method is accomplished by using a single-program-multiple-data mode and tested on up to eight Nvidia Tesla GPUs. The sppedup using different numbers of GPUs is compared and presented in tables and graphics. The results provide recommendations for partitioning data from a 3-D computational model to achieve the best GPU performance.
Citation
Wenyi Shao, and William McCollough, "Multiple-GPU-Based Frequency-Dependent Finite-Difference Time Domain Formulation Using MATLAB Parallel Computing Toolbox," Progress In Electromagnetics Research M, Vol. 60, 93-100, 2017.
doi:10.2528/PIERM17071704
References

1. Luebbers, R., F. P. Hunsberger, K. S. Kunz, R. B. Standler, and M. Schneider, "A frequency-dependent finite-difference time-domain formulation for dispersive materials," IEEE Trans. Electromagn. Compat., Vol. 32, 222-227, 1990.
doi:10.1109/15.57116        Google Scholar

2. Computer Simulation Technology Microwave Studio, , https://www.cst.com/products/cstmws.

3. Stefanski, T. P., N. Chavannes, and N. Kuster, "Multi-GPU accelerated finite-difference time-domain solver in open computing language," PIERS Online, Vol. 7, 71-74, 2011.        Google Scholar

4. Stefanski, T. P., N. Chavannes, and N. Kuster, "Parallelization of the FDTD method based on the open computing language and the message passing interface," Microwave Opt. Technol. Lett., Vol. 54, 785-789, 2012.
doi:10.1002/mop.26610        Google Scholar

5. Zunoubi, M. R., J. Payne, and M. Knight, "FDTD multi-GPU implementation of Maxwell’s equations in dispersive media," Optical Interactions with Tissue and Cells XXII, Vol. 7897, 1-6, 2011.        Google Scholar

6. Zunoubi, M. R., J. Payne, and W. P. Roach, "CUDA-MPI-FDTD implementation of Maxwell’s equations in general dispersive media," Optical Interactions with Tissue and Cells XXIII, Vol. 8221, 1-6, 2012.        Google Scholar

7. Wahl, P., C. Debaes, J. V. Erps, N. Vermeulen, D. A. B. Miller, and H. Thienpont, "B-Calm: An open-source multi-GPU-based 3D-FDTD with multi-pole disperion for plasmonics," Progress In Electromagnetics Research, Vol. 138, 467-478, 2013.
doi:10.2528/PIER13030606        Google Scholar

8. Baumeister, P. F., T. Hater, J. Kraus, D. Pleiter, and P. Wahl, "A performance model for GPU-accelerated FDTD applications," 2015 IEEE 22nd International Conference on High Performance Computing, 185-192, 2015.        Google Scholar

9. Cannon, P. D. and F. Honary, "A GPU-accelerated finite-difference time-domain scheme for electromagnetic wave interaction with plasma," IEEE Trans. Antennas Propag., Vol. 63, 3042-3054, 2015.
doi:10.1109/TAP.2015.2423710        Google Scholar

10. NVIDIA official, , websitehttp://www.nvidia.com.

11. Zhou, J., Y. Cui, E. Poyraz, D. J. Choi, and C. C. Guest, "Multi-GPU implementation of a 3D finite-difference time domain earthquake code on heterogenous supercomputers," International Conference on Computational Science, Vol. 18, 1255-1264, 2013.        Google Scholar

12. NVIDIA CUDA C Programming Guide, Chapter 3.2, 19-58, available in http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#axzz4rGDZXQXi.

13. MathWorks official website, , https://www.mathworks.com.

14. Gabriel, S., R. W. Lau, and C. Gabriel, "The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues," Phys. Med. Bio., Vol. 41, 2271-2293, 1996.
doi:10.1088/0031-9155/41/11/003        Google Scholar

15. Christ, A., W. Kainz, E. G. Hahn, K. Honegger, M. Zefferer, E. Neufeld, W. Rascher, R. Janka, W. Bautz, J. Chen, B. K. P. Schmitt, H.-P. Hollenbach, J. Shen, M. Oberle, D. Szczerba, A. Kam, J. W. Guag, and N. Kuster, "The virtual family-development of surface-based anatomical models of two adults and two children for dosimetric simulations," Phys. Med. Biol., Vol. 55, 23-38, 2010.
doi:10.1088/0031-9155/55/2/N01        Google Scholar

16. Hanawa, T., M. Kurosawa, and S. Ikuno, "Investigation on 3-D implicit FDTD method for parallel processing," IEEE Trans. Magnetics, Vol. 41, 1696-1699, 2005.
doi:10.1109/TMAG.2005.846066        Google Scholar

17. Liao, Z. P., H. L. Wong, B. P. Yang, and Y. F. Yuan, "A transmitting boundary for transient wave analysis," Scientia Sinica, Vol. 27, No. 10, 1063-1076, 1984.        Google Scholar