RT Journal Article
T1 GPU Acceleration of a Non-Standard Finite Element Mesh Truncation Technique for Electromagnetics
A1 Badía, José M.
A1 Amor Martín, Adrián
A1 Belloch Rodríguez, José Antonio
A1 García Castillo, Luis Emilio
AB 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.
PB Institute of Electrical and Electronics Engineers (IEEE)
SN 2169-3536
YR 2020
FD 2020-05-07
LK https://hdl.handle.net/10016/35485
UL https://hdl.handle.net/10016/35485
LA eng
NO This work was supported in part by the Spanish Government under Grant TEC2016-80386-P, Grant TIN2017-82972-R,and Grant ESP2015-68245-C4-1-P, and in part by the Valencian Regional Government under Grant PROMETEO/2019/109.
DS e-Archivo
RD 1 sept. 2024