| Item type |
Symposium(1) |
| 公開日 |
2023-12-20 |
| タイトル |
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タイトル |
PyHARK Acceleration: A GPU-based Approach |
| タイトル |
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言語 |
en |
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タイトル |
PyHARK Acceleration: A GPU-based Approach |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
| 著者所属 |
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Tokyo Institute of Technology |
| 著者所属 |
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Tokyo Institute of Technology／Honda Research Institute Japan |
| 著者所属 |
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Tokyo Institute of Technology |
| 著者所属 |
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Honda Research Institute Japan |
| 著者所属 |
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Nippon Telegraph and Telephone Corporation |
| 著者所属 |
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Nippon Telegraph and Telephone Corporation |
| 著者所属 |
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Nippon Telegraph and Telephone Corporation |
| 著者所属 |
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Keio University |
| 著者所属(英) |
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en |
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Tokyo Institute of Technology |
| 著者所属(英) |
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en |
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Tokyo Institute of Technology / Honda Research Institute Japan |
| 著者所属(英) |
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en |
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Tokyo Institute of Technology |
| 著者所属(英) |
|
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en |
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Honda Research Institute Japan |
| 著者所属(英) |
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en |
|
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Nippon Telegraph and Telephone Corporation |
| 著者所属(英) |
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en |
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Nippon Telegraph and Telephone Corporation |
| 著者所属(英) |
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en |
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Nippon Telegraph and Telephone Corporation |
| 著者所属(英) |
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en |
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Keio University |
| 著者名 |
Zirui, Lin
Katsutoshi, Itoyama
Kazuhiro, Nakadai
Masayuki, Takigahira
Gulzar, Haris
Takeharu, Eda
Busto, Monikka Roslianna
Hideharu, Amano
|
| 著者名(英) |
Zirui, Lin
Katsutoshi, Itoyama
Kazuhiro, Nakadai
Masayuki, Takigahira
Gulzar, Haris
Takeharu, Eda
Busto, Monikka Roslianna
Hideharu, Amano
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| 論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
This paper presents a GPU-based approach for PyHARK acceleration, which offers a Python interface for HARK. One issue for PyHARK is that it needs a shorter processing time to achieve real-time for large-scale processing. In this paper, we designed and implemented GPU-accelerated PyHARK that significantly reduced the processing time. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
This paper presents a GPU-based approach for PyHARK acceleration, which offers a Python interface for HARK. One issue for PyHARK is that it needs a shorter processing time to achieve real-time for large-scale processing. In this paper, we designed and implemented GPU-accelerated PyHARK that significantly reduced the processing time. |
| 書誌情報 |
Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform
巻 2023,
p. 61-62,
発行日 2023-12-20
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| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-APRIS2023018.pdf (789.9 kB)
