Acceleration of large electromagnetic simulation including non-orthogonally aligned thin structures by using multi-GPU HIE/C-FDTD method

Inoue, Yuta; Asai, Hideki

doi:10.1109/edaps.2015.7383694

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Traditional EMT simulation is limited by the computing power of the simulation platform and the parallel structure of the simulation algorithm. However, in recent years, with the emergence of high-performance computing platforms, EMT simulation platforms have developed from single computer to computer cluster [4], from multi-core CPU [5] to GPU-based [6,7] or FPGA-based [8] heterogeneous computing. The development of the simulation platforms greatly improves the calculation speed of the model and the simulation efficiency of the power systems.…”

Section: Introductionmentioning

confidence: 99%

Parallel electromagnetic transient simulation of power systems with a high proportion of renewable energy based on latency insertion method

Wang

et al. 2022

IET Renewable Power Gen

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With the interconnection of regional grids and the increasing penetration of renewable energy, the order of the power system model is getting higher and higher, which brings great challenges to the accuracy and real-time performance of electromagnetic transient (EMT) simulation. The simulation of power systems with a high proportion of renewable energy requires a sharp increase in the performance of the hardware platform and the parallelism of the simulation algorithm. To solve this problem, the paper proposes a finegrained parallel modelling method for power systems with a high proportion of renewable energy, which is inspired by the latency insertion method used in the design of large-scale integrated circuits. And this method is implemented on GPU to achieve the componentlevel and device-level parallelized simulation of power systems with a high proportion of renewable energy. Finally, the correctness of the proposed algorithm and the CPU-GPU cooperative architecture is verified based on an improved 118-bus case. The cascade system of the improved 9-bus case is used as an example to verify the superiority of the proposed algorithm in terms of simulation efficiency.

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Section: Introductionmentioning

confidence: 99%

Parallel electromagnetic transient simulation of power systems with a high proportion of renewable energy based on latency insertion method

Wang

et al. 2022

IET Renewable Power Gen

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“…Otros trabajos se centran en CPUs y GPUs que colaboran para resolver distintas partes del dominio de simulación de forma concurrente [7], y también se implementan entornos de cluster multi-GPU para conseguir mayor velocidad e investigar numéricamente el rendimiento [8], [9]. Se encuentran planteamientos MPI (message passing interface) -OpenMP [10]-GPU para calcular RCS con FDTD, que consiguen reducir el tiempo de cálculo de 3dias a 0.8h (RCS de un F-117) [11].…”

Section: Introductionunclassified

“…El campo eléctrico es E=(E x ,E y ,E z ) V/m, y el campo magnético es H=(H x ,H y ,H z ) A/m ,  0 =1/(4π×10 9 ), =4π×10 7 , = r  0, en el aire  r =1, y en el material dieléctrico en el que estan metalizadas nuestras antenas  r =2.65.…”

Section: Introductionunclassified

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

Calatayud

Navarro-Modesto

Navarro

et al. 2020

Proceedings of the 10th Euro-American Conference on Telematics and Information Systems

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The Finite Difference in Time Domain numerical (FDTD) method is a well know and mature technique in computational electrodynamics. Usually FDTD is used in the analysis of electromagnetic structures, and antennas. However still there is a high computational burden, which is a limitation for use in combination with optimization algorithms. The parallelization of FDTD to calculate in GPU is possible using Matlab and CUDA tools. For instance, the simulation of a planar array, with a three dimensional FDTD mesh 790x276x588, for 6200 time steps, takes one day -elapsed time-using the CPU of an Intel Core i3 at 2.4GHz in a personal computer, 8Gb RAM. This time is reduced 120 times when the calculation is parallelized and carried out in a Graphics Processing Unit (GPU) NVIDIA GeForce GTX 1080 Ti 11264 MB GDDR 5X. The elapsed time is reduced substantially, but also the simplicity of calculation and usefulness of a Matlab implementation. The elapsed time reduction is so substantial that the FDTD-Matlab-CUDA can be combined with optimization algorithms.

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Efficient electromagnetic simulation of PCB with SPICE elements by using HIE-FDTD method

Inoue

Asai

2018

2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Comp

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Acceleration of large electromagnetic simulation including non-orthogonally aligned thin structures by using multi-GPU HIE/C-FDTD method

Cited by 4 publications

References 10 publications

Parallel electromagnetic transient simulation of power systems with a high proportion of renewable energy based on latency insertion method

Parallel electromagnetic transient simulation of power systems with a high proportion of renewable energy based on latency insertion method

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

Efficient electromagnetic simulation of PCB with SPICE elements by using HIE-FDTD method

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