{"links":{},"id":192827,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00192827","sets":["1164:2240:9411:9646"]},"path":["9646"],"owner":"44499","recid":"192827","title":["医用画像処理におけるLDDMMの並列化とコード最適化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-12-10"},"_buckets":{"deposit":"b327774d-f3b0-49ff-a7d4-18f66a89b567"},"_deposit":{"id":"192827","pid":{"type":"depid","value":"192827","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"医用画像処理におけるLDDMMの並列化とコード最適化","author_link":["450966","450970","450971","450967","450968","450965","450969"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"医用画像処理におけるLDDMMの並列化とコード最適化"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"応用アプリケーション向け最適化","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-12-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋大学大学院情報学研究科情報システム学専攻"},{"subitem_text_value":"名古屋工業大学大学院情報工学専攻"},{"subitem_text_value":"名古屋工業大学大学院情報工学専攻"},{"subitem_text_value":"名古屋工業大学大学院情報工学専攻"},{"subitem_text_value":"名古屋大学情報基盤センター"},{"subitem_text_value":"名古屋大学情報基盤センター"},{"subitem_text_value":"名古屋大学情報基盤センター"}]},"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/192827/files/IPSJ-HPC18167002.pdf","label":"IPSJ-HPC18167002.pdf"},"date":[{"dateType":"Available","dateValue":"2020-12-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HPC18167002.pdf","filesize":[{"value":"1.6 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":"b193b4d7-d663-4aa9-9fd6-60a02dd50c2b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中島, 大地"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田村, 友輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"物部, 峻太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"本谷, 秀堅"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"片桐, 孝洋"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"永井, 亨"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"荻野, 正雄"}],"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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8841","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"医用画像処理では，データ容量と計算量が多い 3 次元画像を取り扱う．医用画像処理で用いられる大変形微分同相写像 （Large Deformation Diffeomorphic Metric Mapping, LDDMM) の計算部分は演算量が多いため，コード最適化および並列化の適用が期待されている．そこで本研究では，LDDMM による医用画像処理プログラムにおいて，コード最適化と並列化を施すことで実行時間の短縮を目指す．並列化では MPI (Message Passing Interface) と OpenMP を利用し，コード最適化ではループ融合手法と OpenMP のスケジューリング方式を活用した．性能評価環境として名古屋大学設置の HPC である FX100スーパコンピュータシステムを利用して，提案手法による性能評価を行った．性能評価の結果，オリジナルコードに対して，8 ノード利用時に 10.7 倍の速度向上を達成した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告ハイパフォーマンスコンピューティング（HPC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-12-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2018-HPC-167"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T00:58:30.703425+00:00","updated":"2025-01-19T23:59:22.976487+00:00"}