{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218954","sets":["1164:2240:10902:10971"]},"path":["10971"],"owner":"44499","recid":"218954","title":["負荷分散を改善したハイブリッドパイプライン並列深層学習手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-07-20"},"_buckets":{"deposit":"f006fb2d-d609-45f9-8e21-b6f6aa04c580"},"_deposit":{"id":"218954","pid":{"type":"depid","value":"218954","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"負荷分散を改善したハイブリッドパイプライン並列深層学習手法","author_link":["570451","570454","570452","570453"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"負荷分散を改善したハイブリッドパイプライン並列深層学習手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"機械学習","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-07-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工業大学／国立研究開発法人産業技術総合研究所"},{"subitem_text_value":"東京工業大学"},{"subitem_text_value":"国立研究開発法人産業技術総合研究所"},{"subitem_text_value":"国立研究開発法人産業技術総合研究所"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/218954/files/IPSJ-HPC22185016.pdf","label":"IPSJ-HPC22185016.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HPC22185016.pdf","filesize":[{"value":"983.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"14"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"55ae65fd-ef80-4f2e-8ea0-b476a0fd88f8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"細木, 隆豊"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"遠藤, 敏夫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"広渕, 崇宏"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"池上, 努"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10463942","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8841","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"深層学習ではモデルの大規模化傾向に伴い，計算量やメモリ使用量の観点から複数のアクセラレータを用いた学習の分散化が注目されている．分散化手法として，モデルを層単位で複数のステージに分割し，入力データを次々と流すことでステージ間の並列化を可能とするパイプライン並列が提案されてきたが，ロードインバランスによりアイドル時間が生じやすい．本研究では，パイプライン並列にデータ並列を組み合わせ，新規の学習スケジュールを提案することで負荷分散の問題を解消し，学習の高速化を目指すハイブリッドパイプライン並列フレームワークの作成を行った．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告ハイパフォーマンスコンピューティング（HPC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-07-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"16","bibliographicVolumeNumber":"2022-HPC-185"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":218954,"updated":"2025-01-19T14:58:35.603080+00:00","links":{},"created":"2025-01-19T01:19:17.776501+00:00"}