{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196116","sets":["6504:9795:9812"]},"path":["9812"],"owner":"6748","recid":"196116","title":["分散深層学習のためのワイヤースピードでのIn-Network Computingの検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"3168ae9f-5edc-44aa-be54-8a831c24d17e"},"_deposit":{"id":"196116","pid":{"type":"depid","value":"196116","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"分散深層学習のためのワイヤースピードでのIn-Network Computingの検討","author_link":["469019","469017","469023","469022","469018","469016","469021","469020","469014","469015"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"分散深層学習のためのワイヤースピードでのIn-Network Computingの検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータシステム","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"NTT"},{"subitem_text_value":"NTT"},{"subitem_text_value":"NTT"},{"subitem_text_value":"NTT"},{"subitem_text_value":"NTT"},{"subitem_text_value":"NTT"},{"subitem_text_value":"NTT"},{"subitem_text_value":"NTT"},{"subitem_text_value":"NTT"},{"subitem_text_value":"NTT"}]},"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/196116/files/IPSJ-Z81-5A-01.pdf","label":"IPSJ-Z81-5A-01.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-27"}],"format":"application/pdf","filename":"IPSJ-Z81-5A-01.pdf","filesize":[{"value":"497.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"f351d0f3-60e3-48ff-92e5-32fd30a3a662","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田仲, 顕至"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"有川, 勇輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川合, 健治"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加藤, 順一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 猛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ゴー, ヒュークー"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森田, 和孝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"三浦, 史光"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"坂本, 健"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"重松, 智志"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"データ並列分散深層学習では、複数のワーカーノードで計算された勾配情報を集約・共有するために、Allreduceが行われる。この時、勾配情報のメッセージサイズは100KB以上と大きく、Allreduceのレイテンシが分散深層学習高速化のボトルネックとなることが知られている。本研究では、この集団通信のレイテンシを短縮するために、Allreduceに特化したデータフローアーキテクチャを提案する。実験結果より、提案手法がワイヤスピード（10 Gbps）の96％でAllreduceを実行可能であることが示された。さらに、提案手法は、既存のハードウェア実装によるAllreduceの高速化手法と比べ、ResNet-50と同等のメッセージサイズのデータをAllreduceする時に生じるレイテンシを65％短縮した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"7","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"id":196116,"updated":"2025-01-19T22:49:42.677018+00:00","links":{},"created":"2025-01-19T01:00:49.574029+00:00"}