title: Multi-GPU accelerated three-dimensional FDTD method for electromagnetic simulation.
abstract: Numerical simulation with a numerical human model using the finite-difference time domain (FDTD) method has recently been performed in a number of fields in biomedical engineering. To improve the method's calculation speed and realize large-scale computing with the numerical human model, we adapt three-dimensional FDTD code to a multi-GPU environment using Compute Unified Device Architecture (CUDA). In this study, we used NVIDIA Tesla C2070 as GPGPU boards. The performance of multi-GPU is evaluated in comparison with that of a single GPU and vector supercomputer. The calculation speed with four GPUs was approximately 3.5 times faster than with a single GPU, and was slightly (approx. 1.3 times) slower than with the supercomputer. Calculation speed of the three-dimensional FDTD method using GPUs can significantly improve with an expanding number of GPUs.
authors.affiliation: Electromagnetic Compatibility Laboratory, Applied Electromagnetic Research Institute, National Institute of Information and Communications Technology, Tokyo 184-8795, Japan. nagaoka@nict.go.jp
authors.forename: Tomoaki
authors.initials: T
authors.lastname: Nagaoka
authors.forename: Soichi
authors.initials: S
authors.lastname: Watanabe
mesh_terms: D003196:Computer Graphics / Q000295:instrumentation*; D003198:Computer Simulation; D004558:Electric Stimulation / Q000379:methods*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000295:instrumentation* / Q000379:methods; D008954:Models, Biological; D014915:Whole-Body Counting / Q000379:methods*; D014916:Whole-Body Irradiation / Q000379:methods*