Adapting MoM With RWG Basis Functions to GPU Technology Using CUDA

Topa, T.; Нога, А.; Karwowski, A.

doi:10.1109/lawp.2011.2154373

Cited by 22 publications

(8 citation statements)

References 8 publications

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“…Due to growing complexity and computational requirements of this kind of problems, it is necessary to take advantage of new hardware architectures and efficient coding to speed up those calculations; as an example [13]- [15] obtained great results using the new General Purpose Graphic Processing Units platforms, also known as GPGPUs and SIMD.…”

Section: Simulationmentioning

confidence: 99%

Analysis of a Grounding System Under a Lightning Stroke

Vilacha

Otero

Moreira

et al. 2015

IEEE Trans. on Ind. Applicat.

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This paper studies the electric response of a common lattice tower when it is hit by a lightning stroke. Although some studies have been already done about this subject, the novelty of this one lies in the usage of a highly accurate electric model of an actual lattice tower. This model allows to calculate the impedance variation with different frequencies by using an adaptation of the well-known Method of Moments. Moreover the authors also analyze how the impedance is affected when the grounding parameters and the connection to ground conditions are modified. These results are lately used to explain the electric behavior of the tower under two kinds of lightning impulses and different grounding configurations.

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Section: Simulationmentioning

confidence: 99%

Analysis of a Grounding System Under a Lightning Stroke

Vilacha

Otero

Moreira

et al. 2015

IEEE Trans. on Ind. Applicat.

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“…Parallelism is the future of computing [9] and the interest of the Antennas and Propagation community in topics of high performance computing and, in particular, of parallel programming on GPUs to face computationally burdened problems has been remarkable, as witnessed by [2][3][4][5][6][7] and by other electromagnetic numerical methods which have benefitted from GPU computing [10][11][12][13][14][15][16][17]. From this starting point, it is clear that the electromagnetic community can take advantage of this technological evolution to employ ever-more sophisticated numerical methods.…”

Section: Introductionmentioning

confidence: 99%

Fast, Phase-Only Synthesis of Aperiodic Reflectarrays Using Nuffts and Cuda

Capozzoli¹,

Curcio²,

Liseno³

et al. 2016

PIER

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Abstract-We deal with one of the computationally most critical steps of the Phase-Only synthesis of aperiodic reflectarrays, namely the fast evaluation of the radiation operator. We present an approach exploiting the use of a fast numerical algorithm using 2D Non-Uniform FFTs (NUFFTs) of NED (NonEquispaced Data) and NER (Non-Equispaced Results) type and of parallel processing on Graphics Processing Units (GPUs). We extend the approach in K. Fourmont, J. Fourier Anal. Appl., Vol. 9, No. 5, 431-540, 2013 for implementing NUFFT routines to the 2D case and illustrate the parallel strategies to accelerate the approach. In particular, we show how the two levels of parallelism intrinsic in the interpolation step of the 2D NED-NUFFT can be fruitfully exploited by adopting dynamic parallelism, a feature made available in one of the latest architecture of NVIDIA cards. The presented synthesis results show that the introduction of further degrees of freedom (positions) allows improving the performance with respect to periodic reflectarrays. Also, the possibility of adopting aperiodic reflectarrays of reduced number of elements for fixed performance is demonstrated.

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“…Topa et al described a GPU-based method for MoM acceleration [23]. Tao et al proposed an accelerated GPU-based RT method for complex object RCS prediction by combing kD-tree [24] and it was extended to a PO-GO combined method by Wei et al to predict electromagnetic scattering of satellite [25].…”

Section: Introductionmentioning

confidence: 99%

A Full 3-D GPU-based Beam-Tracing Method for Complex Indoor Environments Propagation Modeling

Tan

Long

2015

IEEE Trans. Antennas Propagat.

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Ray tracing method is a popular method for predicting radio channel properties in indoor environments. Due to the discrete sampling of the space, the ray tracing method is time-consuming in obtaining accurate results. In this paper, an accurate and efficient GPU-based kD-tree-accelerated beamtracing method (GKBT), designed to run on GPU in parallel, is proposed, which overcomes the discrete sampling artifacts of ray tracing methods. The proposed method contains both an efficient beam-triangle intersection algorithm based on Pluecker coordinates and a kD-tree traversal algorithm extended to beam tracing to dramatically reduce the computation time. The simulated result shows great agreement with the measured result published in literature. Numerical experiments show that the GKBT is about ten times faster than the state-of-the-art ray tracing method. Finally, a simulated result for a realistic indoor environment is given, which shows that furniture has great influences on the ultrawide band (UWB) field distribution and channel performance.

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Adapting MoM With RWG Basis Functions to GPU Technology Using CUDA

Cited by 22 publications

References 8 publications

Analysis of a Grounding System Under a Lightning Stroke

Analysis of a Grounding System Under a Lightning Stroke

Fast, Phase-Only Synthesis of Aperiodic Reflectarrays Using Nuffts and Cuda

A Full 3-D GPU-based Beam-Tracing Method for Complex Indoor Environments Propagation Modeling

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