On the High-Performance Computing of Layered Green's Function Based on the Graphics Processing Unit

The efficient evaluation of Sommerfeld integrals (SIs) in planar layered media has been a long-term bottleneck in the accurate electromagnetic analysis of modern radio frequency (RF) circuits, chips, and devices. This work investigates the high-performance computing of SIs using modern graphics proc...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2024-06, Vol.72 (6), p.5159-5170
Main Authors: Wu, Bi-Yi, Yan, Chao-Ze, Yuan, Xin, Zhang, Qianyun, He, Wei-Jia, Sheng, Xin-Qing
Format: Article
Language:English
Subjects:
Controllability
Graphics processing unit (GPU)
Graphics processing units
Green's function methods
Green's functions
Green’s function
Head
High performance computing
Instruction sets
integral equation
mixed-precision
Numerical integration
Parallel processing
Silicon
Sommerfeld integrals (SIs)
Tail
tensor cores
Tensors
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Summary:The efficient evaluation of Sommerfeld integrals (SIs) in planar layered media has been a long-term bottleneck in the accurate electromagnetic analysis of modern radio frequency (RF) circuits, chips, and devices. This work investigates the high-performance computing of SIs using modern graphics processing units (GPUs) to alleviate this difficulty. Based on the numerical integration procedure with controllable accuracy for SIs, the GPU parallel schemes for SI heads and SI tails are first presented. By eliminating the redundant calculations in SI of multiple frequencies, highly efficient parallel computing enhanced by tensor cores of GPU is developed, and it evaluates the multiple frequency SIs simultaneously. In addition, the mixed-precision computing that further accelerates computing is also studied and tested. Extensively numerical experiments are carried out on two commercial gaming GPUs and verify the performance of the proposed parallel scheme. It achieves a dozen to hundreds speedup compared to that using two high-end CPUs with full OpenMP parallelization.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2024.3387835