Low-overhead distribution strategy for simulation and optimization of large-area metasurfaces
Jinhie Skarda, Rahul Trivedi, Logan Su, Diego Ahmad-Stein, Hyounghan Kwon, Seung-Hoon Han, Shanhui Fan, Jelena Vučković
Abstract
Abstract Fast and accurate electromagnetic simulation of large-area metasurfaces remains a major obstacle in automating their design. In this paper, we propose a metasurface simulation distribution strategy which achieves a linear reduction in the simulation time with the number of compute nodes. Combining this distribution strategy with a GPU-based implementation of the Transition-matrix method, we perform accurate simulations and adjoint sensitivity analysis of large-area metasurfaces. We demonstrate ability to perform a distributed simulation of large-area metasurfaces (over 600 λ × 600 λ ), while accurately accounting for scatterer-scatterer interactions significantly beyond the locally periodic approximation.