{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00029315","sets":["1164:2240:2273:2277"]},"path":["2277"],"owner":"1","recid":"29315","title":["リバーストレーサによる性能評価用ワークロード生成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2002-03-07"},"_buckets":{"deposit":"1b120f37-dd53-4ba0-805b-161187026c80"},"_deposit":{"id":"29315","pid":{"type":"depid","value":"29315","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"リバーストレーサによる性能評価用ワークロード生成","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"リバーストレーサによる性能評価用ワークロード生成"},{"subitem_title":"Performance Test Program Generation Using the Reverse Tracer","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2002-03-07","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"（株）富士通研究所"},{"subitem_text_value":"（株）富士通研究所"},{"subitem_text_value":"（株）富士通研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"FUJITSU LABORATORIES LTD.","subitem_text_language":"en"},{"subitem_text_value":"FUJITSU LABORATORIES LTD.","subitem_text_language":"en"},{"subitem_text_value":"FUJITSU LABORATORIES LTD.","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/29315/files/IPSJ-HPC01089022.pdf"},"date":[{"dateType":"Available","dateValue":"2004-03-07"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HPC01089022.pdf","filesize":[{"value":"1.1 MB"}],"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":"4bc3d55a-756b-4083-b75f-7ff9c2695696","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2002 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"河場, 基行"},{"creatorName":"上田, 晴康"},{"creatorName":"安里, 彰"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Motoyuki, Kawaba","creatorNameLang":"en"},{"creatorName":"Haruyasu, Ueda","creatorNameLang":"en"},{"creatorName":"Akira, Asato","creatorNameLang":"en"}],"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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"CPU2000に代表される大規模ベンチマークテストの評価時間を短縮するため，性能テストプログラム作成システムGREPT を作成した．これはトレースサンプリング・リバーストレーサ(RT-lite)によって小さなテストプログラム（RTバイナリ）群を生成し、さらにバイナリイメージの差を用いたクラスタリングによって高速に代表RTバイナリを選出し評価対象を大幅に減らすことを特徴としている．CPU2000の8本のプログラムに対し，代表RTバイナリ選出方法に改善の余地があるものの7.7％の誤差でCPIを推定できた．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We describe a performance test program generator, called GREPT, developed to shorten the evaluation time for large benchmark sets such as CPU2000 benchmark. The GREPT can generate several small representative test programs by trace sampling, reverse tracing, and clustering. For the speed of the clustering, our clustering method uses the simple comparison between binary images of test programs. Our preliminary experiments show the CPI estimation using representative test programs has 7.7% errors on average for 8 programs from CPU2000 benchmark, though the quality of clustering and the representativeness of selested programs still have the room of the improvement.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"132","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告ハイパフォーマンスコンピューティング（HPC）"}],"bibliographicPageStart":"127","bibliographicIssueDates":{"bibliographicIssueDate":"2002-03-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"22(2001-HPC-089)","bibliographicVolumeNumber":"2002"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":29315,"updated":"2025-01-22T17:37:20.643734+00:00","links":{},"created":"2025-01-18T22:59:11.912248+00:00"}