@inproceedings{9151b9b0cef2469ba580e7e94cf1f726,
title = "High-Performance Simulation of Electromagnetic Scattering by 3D Objects Using the GPU-accelerated Parallel MLFMA",
abstract = "This paper proposes a high-performance massively parallel multilevel fast multipole algorithm (MLFMA) on clusters with graphics processing units (GPUs) accelerators. ELLPACK format-based schemes are proposed to ensure a high computational throughput for GPU accelerated evaluation of interpolation and anterpolation operations in MLFMA. The program is further optimized using the mechanism of stream and the shared-memory/register hierarchical memory architecture of GPU. The implementation of all the proposed techniques make the aggregation/disaggregation calculations an order of magnitude faster than the conventional ones, and halved the iteration time for an aircraft model with 10 billion unknowns, which is a significant progress in GPU accelerated massively parallel MLFMA.",
keywords = "GPU, Multilevel fast multipole algorithm, large-scale electromagnetic scattering, parallel",
author = "He, {Wei Jia} and Liu, {Xin Duo} and Wu, {Bi Yi} and Yang, {Ming Lin} and Sheng, {Xin Qing}",
note = "Publisher Copyright: {\textcopyright} 2023 Applied Computational Electromagnetics Society (ACES).; 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 ; Conference date: 15-08-2023 Through 18-08-2023",
year = "2023",
doi = "10.23919/ACES-China60289.2023.10249851",
language = "English",
series = "2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023",
address = "United States",
}