GPU-Accelerated HO-SIE-DDM Using NVIDIA CUDA for Analysis of Multiscale Problems

Tao Zhou; Qiang Ming Cai; Xin Cao; Wen Jiang; Yuying Zhu; Yuyu Zhu; Jun Fan

doi:10.1109/APEMC53576.2022.9888565

GPU-Accelerated HO-SIE-DDM Using NVIDIA CUDA for Analysis of Multiscale Problems

Tao Zhou
, Qiang Ming Cai
, Xin Cao
, Wen Jiang
, Yuying Zhu
, Yuyu Zhu
, Jun Fan

Southwest University of Science and Technology
Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	201-203
Number of pages	3
ISBN (Electronic)	9781665416719
DOIs	https://doi.org/10.1109/APEMC53576.2022.9888565
State	Published - 2022
Externally published	Yes
Event	13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022 - Beijing, China Duration: Sep 1 2022 → Sep 4 2022

Publication series

Name	2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022

Conference

Conference	13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022
Country/Territory	China
City	Beijing
Period	9/1/22 → 9/4/22

ASJC Scopus Subject Areas

Hardware and Architecture
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Radiation

Keywords

Compute Unified Device Architecture (CUDA)
Domain decomposition method (DDM)
graphic processing unit (GPU)
higher order hierarchical vector (HOHV) basis functions
surface integral equation (SIE)

Access to Document

10.1109/APEMC53576.2022.9888565

Cite this

Zhou, T., Cai, Q. M., Cao, X., Jiang, W., Zhu, Y., Zhu, Y., & Fan, J. (2022). GPU-Accelerated HO-SIE-DDM Using NVIDIA CUDA for Analysis of Multiscale Problems. In 2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022 (pp. 201-203). (2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APEMC53576.2022.9888565

GPU-Accelerated HO-SIE-DDM Using NVIDIA CUDA for Analysis of Multiscale Problems. / Zhou, Tao; Cai, Qiang Ming; Cao, Xin et al.
2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 201-203 (2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhou, T, Cai, QM, Cao, X, Jiang, W, Zhu, Y, Zhu, Y & Fan, J 2022, GPU-Accelerated HO-SIE-DDM Using NVIDIA CUDA for Analysis of Multiscale Problems. in 2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022. 2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022, Institute of Electrical and Electronics Engineers Inc., pp. 201-203, 13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022, Beijing, China, 9/1/22. https://doi.org/10.1109/APEMC53576.2022.9888565

Zhou T, Cai QM, Cao X, Jiang W, Zhu Y, Zhu Y et al. GPU-Accelerated HO-SIE-DDM Using NVIDIA CUDA for Analysis of Multiscale Problems. In 2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 201-203. (2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022). doi: 10.1109/APEMC53576.2022.9888565

Zhou, Tao ; Cai, Qiang Ming ; Cao, Xin et al. / GPU-Accelerated HO-SIE-DDM Using NVIDIA CUDA for Analysis of Multiscale Problems. 2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 201-203 (2022 Asia-Pacific International Symposium on Electromagnetic Compatibility, APEMC 2022).

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title = "GPU-Accelerated HO-SIE-DDM Using NVIDIA CUDA for Analysis of Multiscale Problems",

keywords = "Compute Unified Device Architecture (CUDA), Domain decomposition method (DDM), graphic processing unit (GPU), higher order hierarchical vector (HOHV) basis functions, surface integral equation (SIE)",

author = "Tao Zhou and Cai, \{Qiang Ming\} and Xin Cao and Wen Jiang and Yuying Zhu and Yuyu Zhu and Jun Fan",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022 ; Conference date: 01-09-2022 Through 04-09-2022",

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AU - Fan, Jun

PY - 2022

Y1 - 2022

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KW - graphic processing unit (GPU)

KW - higher order hierarchical vector (HOHV) basis functions

KW - surface integral equation (SIE)

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GPU-Accelerated HO-SIE-DDM Using NVIDIA CUDA for Analysis of Multiscale Problems

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Keywords

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