Nvidia CUDA parallel processing of large FDTD meshes in a desktop computer

Calatayud, Robert; Navarro-Modesto, Enrique; Navarro, Enrique A.; Sangary, Nagula

doi:10.1145/3401895.3401934

Cited by 2 publications

(3 citation statements)

References 18 publications

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“…The FDTD-GA optimization scheme was implemented using Matlab TM R2021a, doing parallelization to take the capabilities of the Graphical Processing Unit (GPU), a NVIDIA GTX-970 GPU card. In doing this the FDTD-GA optimization scheme was able to give a useful design in terms of a few hours, [36].…”

Section: End -mentioning

confidence: 99%

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Design & Optimization of Large Cylindrical Radomes with Subcell and Non-Orthogonal FDTD Meshes Combined with Genetic Algorithms

et al. 2021

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The word radome is a contraction of radar and dome. The function of radomes is to protect antennas from atmospheric agents. Radomes are closed structures that protect the antennas from environmental factors such as wind, rain, ice, sand, and ultraviolet rays, among others. The radomes are passive structures that introduce return losses, and whose proper design would relax the requirement of complex front-end elements such as amplifiers. The radome consists mostly in a thin dielectric curved shape cover and sometimes needs to be tuned using metal inserts to cancel the capacitive performance of the dielectric. Radomes are in the near field region of the antennas and a full wave analysis of the antenna with the radome is the best approach to analyze its performance. A major numerical problem is the full wave modeling of a large radome-antenna-array system, as optimization of the radome parameters minimize return losses. In the present work, the finite difference time domain (FDTD) combined with a genetic algorithm is used to find the optimal radome for a large radome-antenna-array system. FDTD uses general curvilinear coordinates and sub-cell features as a thin dielectric slab approach and a thin wire approach. Both approximations are generally required if a problem of practical electrical size is to be solved using a manageable number of cells and time steps in FDTD inside a repetitive optimization loop. These approaches are used in the full wave analysis of a large array of crossed dipoles covered with a thin and cylindrical dielectric radome. The radome dielectric has a thickness of ~λ/10 at its central operating frequency. To reduce return loss a thin helical wire is introduced in the radome, whose diameter is ~0.0017λ and the spacing between each turn is ~0.3λ. The genetic algorithm was implemented to find the best parameters to minimize return losses. The inclusion of a helical wire reduces return losses by ~10 dB, however some minor changes of radiation pattern could distort the performance of the whole radome-array-antenna system. A further analysis shows that desired specifications of the system are preserved.

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Section: End -mentioning

confidence: 99%

“…The FDTD code running on a Graphical Processing Unit (GPU) is fast enough to be combined with an optimization algorithm [36], and we use a genetic algorithm (GA) as optimization algorithm. GAs are optimization algorithms inspired by natural selection processes observed in nature [37].…”

Section: Introductionmentioning

confidence: 99%

Design & Optimization of Large Cylindrical Radomes with Subcell and Non-Orthogonal FDTD Meshes Combined with Genetic Algorithms

et al. 2021

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“…Recently, renewed interest in CEM on GPU is found for example in [3] for the Discrete Geometric Approach method and in [4], [5] for FDTD. In this work we revisit the implementation strategy of [2], to determine to which extent the improvements found in recent hardware (CUDA compute capability ě 3.5) would allow an algorithmic simplification without compromising efficiency.…”

Section: Introductionmentioning

confidence: 99%