Optimization and parameter exploration using GPU based FDTD solvers

Abstract

Graphical processing units (GPU) has been recently documented for the implementation of the FDTD technique. The use of these specialized processors for the implementation of numerical codes has been shown to significantly speed up the execution of these codes over standard CPU based solvers. With the execution of the FDTD method being reduced to a matter of seconds, the use of these codes for optimization and parameter exploration becomes possible. This paper will detail the use of a developed GPU based FDTD solver for both optimization and through a graphical interface parameter exploration.