Fast and accurate evaluation of multilayered Green's functions by extracting surface and leaky wave poles based on GPU/CPU heterogeneous platform

Song, Zhe

doi:10.1109/iwem.2017.7968777

Cited by 2 publications

(1 citation statement)

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“…The relative error of iteration in CG-FFT for the case with 15 × 15 elements is shown in Figure 11 and the current distribution in centre of the case with 33 × 33 elements is shown in Figure 12. To enhance the efficiency further, we have realized the fast calculation of multilayered Green's functions Number unknowns of N t M , using the scheme in [16] t M , using the proposed scheme t S , using the proposed scheme t S , using the scheme in [16] t M , using the scheme in [16] t M , using the proposed scheme t S , using the proposed scheme t S , using the scheme in [16] on GPU/CPU heterogeneous platform [38], which will be implemented to the MPIE-MoM in future work.…”

Section: Numerical Results Of Deeplymentioning

confidence: 99%

High Performance Computing of Complex Electromagnetic Algorithms Based on GPU/CPU Heterogeneous Platform and Its Applications to EM Scattering and Multilayered Medium Structure

Song

Mu²,

Zhou

2017

International Journal of Antennas and Propagation

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The fast and accurate numerical analysis for large-scale objects and complex structures is essential to electromagnetic simulation and design. Comparing to the exploration in EM algorithms from mathematical point of view, the computer programming realization is coordinately significant while keeping up with the development of hardware architectures. Unlike the previous parallel algorithms or those implemented by means of parallel programming on multicore CPU with OpenMP or on a cluster of computers with MPI, the new type of large-scale parallel processor based on graphics processing unit (GPU) has shown impressive ability in various scenarios of supercomputing, while its application in computational electromagnetics is especially expected. This paper introduces our recent work on high performance computing based on GPU/CPU heterogeneous platform and its application to EM scattering problems and planar multilayered medium structure, including a novel realization of OpenMP-CUDA-MLFMM, a developed ACA method and a deeply optimized CG-FFT method. With fruitful numerical examples and their obvious enhancement in efficiencies, it is convincing to keep on deeply investigating and understanding the computer hardware and their operating mechanism in the future.

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