{"created":"2025-01-19T01:28:50.531779+00:00","updated":"2025-01-19T11:29:57.246826+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229592","sets":["6504:11436:11437"]},"path":["11437"],"owner":"44499","recid":"229592","title":["Google Coral Dev Boardの分散並列化によるAIアクセラレーションの高速化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"e72e2db1-c50d-441e-ad72-4c955d788031"},"_deposit":{"id":"229592","pid":{"type":"depid","value":"229592","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Google Coral Dev Boardの分散並列化によるAIアクセラレーションの高速化","author_link":["617567","617568"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Google Coral Dev Boardの分散並列化によるAIアクセラレーションの高速化"}]},"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":"2023-02-16","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":"農工大"},{"subitem_text_value":"農工大"}]},"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/229592/files/IPSJ-Z85-4K-02.pdf","label":"IPSJ-Z85-4K-02.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4K-02.pdf","filesize":[{"value":"428.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"cfeb9aab-2fc0-4f8e-a5e0-c97b8d1ee100","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"藤江, 涼太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"並木, 美太郎"}],"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":"近年，深層学習の普及に伴いサーバでの集中処理を行わずセンサ側で推論を行うエッジAIが，ネットワーク帯域の節約などに役立てるとして注目され始めている．しかし，エッジ側で用いられるAIアクセラレータは消費電力などの考慮により性能が抑えられているため，大規模なモデルの使用や推論速度などに問題がある．そこで，本研究ではAIアクセラレータの分散並列による推論速度の向上を行い，その台数効果とオーバーヘッドによる並列可能数についての検証を行う．なお，エッジデバイスにはAIアクセラレータを搭載したSoCであるGoogle Coral Dev Boardを用いており，ネットワーク分散と並列推論により，高い台数効果が確認できている．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"124","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"123","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229592,"links":{}}