{"id":29497,"updated":"2025-01-22T17:31:30.022098+00:00","links":{},"created":"2025-01-18T22:59:19.893932+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00029497","sets":["1164:2240:2283:2288"]},"path":["2288"],"owner":"1","recid":"29497","title":["GAによる動的マッピングのPDESへの適用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2000-03-02"},"_buckets":{"deposit":"0ba6fdab-40a5-4ee2-996c-6a9b28a71bac"},"_deposit":{"id":"29497","pid":{"type":"depid","value":"29497","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"GAによる動的マッピングのPDESへの適用","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"GAによる動的マッピングのPDESへの適用"},{"subitem_title":"Application of dynamic mapping with Genetic Algorithm to Parallel Discrete Event Simulation","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2000-03-02","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学理工学研究科"},{"subitem_text_value":"早稲田大学理工学研究科"},{"subitem_text_value":"早稲田大学理工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of science and engineering, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Department of science and engineering, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Department of science and engineering, Waseda University","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/29497/files/IPSJ-HPC99080016.pdf"},"date":[{"dateType":"Available","dateValue":"2002-03-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HPC99080016.pdf","filesize":[{"value":"715.7 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":"92f38984-23c1-4ff1-81a3-efff1c6e8cfb","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2000 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"三橋, 純"},{"creatorName":"永田, 和敏"},{"creatorName":"成田, 誠之助"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Jun, Mitsuhashi","creatorNameLang":"en"},{"creatorName":"Kazutoshi, Nagata","creatorNameLang":"en"},{"creatorName":"Seinosuke, Narita","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":"PDESの実行効率に影響を与える要素として、仮想時刻同期手法とマッピング手法が挙げられる。本論文では、動的マッピングの手法として遺伝的アルゴリズム(GA)を用いた動的マッピングを提案する。シミュレーションの進行と平行して、ホストプロセッサではセルプロセッサから送られてきたデータをもとにGAの計算を行う。その結果を定期的にセルプロセッサへと送信し，動的にマップを更新していく。また，仮想時刻同期手法として，同期的手法において他のPEに隣接しているノードと隣接していないノードを区別し，保証時刻を長くとることにより同期回数を軽減する。これら二つのアプローチによりシミュレーションの高速化を目指す。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"There are two major elements which influence the execution efficiency of PDES. One is a synchronization method, and the other is a mapping method. This thesis proposes a dynamic mapping using Genetic Algorithm(GA). The host processor calculates maps using the data from cell processors with GA algorithm in parallel with the progress of the simulation. The result is regularly transmitted to cell processors, and the map is updated dynamically. This dynamic processing enables high-speed processing of the simulation.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"94","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":"89","bibliographicIssueDates":{"bibliographicIssueDate":"2000-03-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"23(1999-HPC-080)","bibliographicVolumeNumber":"2000"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}