GPU acceleration of a non-standard finite element mesh truncation technique for electromagnetics
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Otros documentos de la autoría: Badía, José; Amor-Martin, Adrian; BELLOCH, JOSE A.; GARCIA, LUIS EMILIO
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Título
GPU acceleration of a non-standard finite element mesh truncation technique for electromagneticsFecha de publicación
2020-05-07Editor
IEEECita bibliográfica
J. M. Badía, A. Amor-Martin, J. A. Belloch and L. E. García-Castillo, "GPU Acceleration of a Non-Standard Finite Element Mesh Truncation Technique for Electromagnetics," in IEEE Access, vol. 8, pp. 94719-94730, 2020, doi: 10.1109/ACCESS.2020.2993103.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://ieeexplore.ieee.org/abstract/document/9088972Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The emergence of General Purpose Graphics Processing Units (GPGPUs) provides new opportunities to accelerate applications involving a large number of regular computations. However, properly leveraging the computational ... [+]
The emergence of General Purpose Graphics Processing Units (GPGPUs) provides new opportunities to accelerate applications involving a large number of regular computations. However, properly leveraging the computational resources of graphical processors is a very challenging task. In this paper, we use this kind of device to parallelize FE-IIEE (Finite Element-Iterative Integral Equation Evaluation), a non-standard finite element mesh truncation technique introduced by two of the authors. This application is computationally very demanding due to the amount, size and complexity of the data involved in the procedure. Besides, an efficient implementation becomes even more difficult if the parallelization has to maintain the complex workflow of the original code. The proposed implementation using CUDA applies different optimization techniques to improve performance. These include leveraging the fastest memories of the GPU and increasing the granularity of the computations to reduce the impact of memory access. We have applied our parallel algorithm to two real radiation and scattering problems demonstrating speedups higher than 140 on a state-of-the-art GPU. [-]
Proyecto de investigación
Spanish Government through (TEC2016-80386-P, TIN2017-82972-R, ESP2015-68245-C4-1-P) ; Valencian Regional Government (PROMETEO/2019/109)Derechos de acceso
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info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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