Multi-GPU Accelerated Admittance Method for High-Resolution Human Exposure Evaluation

Abstract

The high efficiency achieved makes it practical to investigate human exposure involving a large number of cases with a high resolution that meets the requirements of international dosimetry guidelines.

Efficient Computation of Green's Functions for Lossy Uniaxial Anisotropic Layered Media

“…Because the dipole moment defined there has a factor of 1/ jωμ 0 compared to our convention, our results are normalized to theirs by multiplying by jωμ 0 . As seen, there is excellent agreement between the uniaixal Green's function approach discussed here and the purely numerical method of Xiong et al ().…”

“…The dipole/receiver locations are defined at the centers of the transmitter and receiver coils, respectively. The results described by blue dots are calculated using the finite difference admittance method (Xiong et al, 2015). The example here is from Zhong et al (2008).…”

An optimized block forward‐elimination and backward‐substitution algorithm for GPU accelerated ILU preconditioner in evaluating the induced electric field during transcranial magnetic stimulation

“…Most of the current studies on the acceleration of TMS simulations have concentrated on parallelization of Krylov iterative methods using multiple CPU nodes [Wang et al, ] or GPUs [Xiong et al, ], or on multiscale grids [Laakso and Hirata, ]. Since an ILU preconditioner was widely implemented in the Krylov iterative methods, the presented method can be readily incorporated in the in‐house solvers to accelerate the simulations.…”