{"id":211913,"updated":"2025-01-19T17:38:04.358489+00:00","links":{},"created":"2025-01-19T01:13:01.846533+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00211913","sets":["1164:1579:10482:10619"]},"path":["10619"],"owner":"44499","recid":"211913","title":["Approximate Memory制御手法の評価のためのベンチマーク開発"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-07-13"},"_buckets":{"deposit":"5eb953a7-b8fa-4593-a4c7-a5a1b95c100a"},"_deposit":{"id":"211913","pid":{"type":"depid","value":"211913","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Approximate Memory制御手法の評価のためのベンチマーク開発","author_link":["539391","539394","539393","539392"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Approximate Memory制御手法の評価のためのベンチマーク開発"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"近似計算","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-07-13","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学情報理工学系研究科創造情報学専攻"},{"subitem_text_value":"株式会社フィックスターズ"},{"subitem_text_value":"株式会社フィックスターズ"},{"subitem_text_value":"株式会社フィックスターズ"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Creative Informatics, Graduate School of Information Science and Technology, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Fixstars Corporation","subitem_text_language":"en"},{"subitem_text_value":"Fixstars Corporation","subitem_text_language":"en"},{"subitem_text_value":"Fixstars Corporation","subitem_text_language":"en"}]},"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/211913/files/IPSJ-ARC21245015.pdf","label":"IPSJ-ARC21245015.pdf"},"date":[{"dateType":"Available","dateValue":"2023-07-13"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ARC21245015.pdf","filesize":[{"value":"597.3 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":"16"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"7bc8694f-9458-4abc-896b-dac9c30c7ba4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"穐山, 空道"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松宮, 遼"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉藤, 尚生"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"梶, 信也"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10096105","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":"2188-8574","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Approximate Memory とは格納されたデータにエラーが入ることを許す代わりに低いレイテンシでアクセス可能な新しいメモリ技術である．本技術はデバイスレベルでは広く研究された様々な知見が蓄積されているものの，実際のアプリケーションに適用する最適な方法は未だ確立していない．Approximate Memory を実際のアプリケーションに適用する手法を評価するためには，ある手法で得られる高速化とアプリケーションの計算結果の誤差のトレードオフをベンチマークによって評価する必要がある．このためのベンチマークには，SPEC CPU Benchmarks などの広く使われるベンチマークと比較して次のような要求がある．(1) 計算結果の正解値のみならず，正解値からの誤差を評価するメトリックが与えられること．(2) 計算結果の誤差は一般に途中結果から外挿できないため，サイクルベースシミュレーション上でも現実的な時間で終了すること．本稿では (1)，(2) の要件を満たすベンチマーク開発の経験に基づき，誤差の評価に用いるメトリックや入力データの選定に関する議論を行う．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"9","bibliographic_titles":[{"bibliographic_title":"研究報告システム・アーキテクチャ（ARC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-07-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"15","bibliographicVolumeNumber":"2021-ARC-245"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}