In this video from GTC 2016, Chris Mason from Acceleware discusses how GPU-enabled subgridding for the finite difference time domain (FDTD) algorithm can substantially reduce run-times for electromagnetic simulations of human interface technology.
This session will focus on real life examples including an RF powered contact lens, a wireless capsule endoscopy, and a smart watch. The session will also outline the basics of the subgridding algorithm along with the GPU implementation and the development challenges. Performance results will illustrate the significant reduction in computation times when using a localized subgridded mesh running on an NVIDIA Tesla GPU.
