The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism

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Material Type: 文書・図像類
Title: The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism
Author/Editor: 大山, 洋介
Oyama, Yosuke
丸山, 直也
Maruyama, Naoya
松岡, 聡
MATSUOKA, SATOSHI
Author Heading: 大山, 洋介
Oyama, Yosuke
丸山, 直也
Maruyama, Naoya
松岡, 聡
MATSUOKA, SATOSHI
Publication Date: 2020-07
Publication Date (W3CDTF): 2020-07
Text Language Code: eng
Target Audience: 一般
Note (General): identifier:oai:t2r2.star.titech.ac.jp:50568739
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 東京工業大学 : 東京工業大学リサーチリポジトリ