Implementation of Radio Wave Propagation using RT Cores and Consideration of Programming Models

Shinya Hashinoki, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai, Tetsuya Hoshino

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

With the NVIDIA Turing architecture generation, several NVIDIA graphics processing units (GPUs) have introduced ray tracing acceleration hardware (RT cores). Ray tracing processing can be regarded as a simulation of wave and particle propagation, collision, and reflection. Therefore, it is expected to be applied to computational science and high-performance computing. However, few studies have been conducted using RT cores. The purpose of this research is to demonstrate the use of RT cores in the scientific and technical computing fields. We implemented a radio wave propagation loss calculation with the programmable ray tracing application framework OptiX and evaluated its performance. Furthermore, we investigated the challenges of reducing the description of framework-specific settings and the needs of hardware allocation. In the simple two spheres experiment, the RT core implementation showed the highest performance. Moreover, the acceleration was super linear scaling, between (10000, 5000) and (20000, 10000). In the experiment with a sphere and planes, the performance achieved by the RT cores was up to approximately 390 times higher than the parallel execution of the BVH search algorithm. We also proved that a large number of RT cores yielded higher performance. In the open data problem space experiment, we evaluated various GPUs and revealed that a larger number of RT cores is effective. These results show that RT cores are sufficiently effective for radio propagation calculations with an adequate number of ray projections. Through this research, we contributed to the RT core use in computational science by proposing an implementation method for ray tracing applications and revealing the effects of RT cores in radio wave propagation loss calculations.

本文言語英語
ホスト出版物のタイトル2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023
出版社Institute of Electrical and Electronics Engineers Inc.
ページ673-681
ページ数9
ISBN(電子版)9798350311990
DOI
出版ステータス出版済み - 2023
外部発表はい
イベント2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023 - St. Petersburg, 米国
継続期間: 5月 15 20235月 19 2023

出版物シリーズ

名前2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023

会議

会議2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023
国/地域米国
CitySt. Petersburg
Period5/15/235/19/23

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ

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