We propose a novel and efficient algorithm to parallelize the finite-difference time-domain method, where the observation period is divided into an arbitrary number of subsections, whose computation is distributed to corresponding computer nodes. The proposed algorithm roughly reduces the computational time to an nth fraction of the conventional algorithm, where n is the number of nodes for parallel computing, thus verifying its efficiency improvement.
Fast inverse Laplace transform (FILT) is a simple and concise technique for performing inverse Laplace transforms. This study develops an efficient parallel algorithm for FILT for solving various electromagnetic problems. This algorithm can be easily combined with existing computational methods used in electromagnetics to realize efficient time-and frequency-domain analyses.
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