{"id":190673,"created":"2025-01-19T00:56:37.673105+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00190673","sets":["1164:2240:9411:9526"]},"path":["9526"],"owner":"11","recid":"190673","title":["GPGPUによる高精度行列-行列積アルゴリズムのためのBatched BLASを用いた実装方式の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-07-23"},"_buckets":{"deposit":"f121b471-3d4f-4ec6-ace7-43a89c25e808"},"_deposit":{"id":"190673","pid":{"type":"depid","value":"190673","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"GPGPUによる高精度行列-行列積アルゴリズムのためのBatched BLASを用いた実装方式の提案","author_link":["437017","437013","437015","437014","437016"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"GPGPUによる高精度行列-行列積アルゴリズムのためのBatched BLASを用いた実装方式の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"GPU","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-07-23","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"},{"subitem_text_value":"名古屋大学情報基盤センター"},{"subitem_text_value":"九州大学情報基盤研究開発センター"},{"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_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Information Technology Center, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Research Institute for Information Technology, Kyushu University","subitem_text_language":"en"},{"subitem_text_value":"Information Technology Center, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Information Technology Center, Nagoya 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/190673/files/IPSJ-HPC18165032.pdf","label":"IPSJ-HPC18165032.pdf"},"date":[{"dateType":"Available","dateValue":"2020-07-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HPC18165032.pdf","filesize":[{"value":"1.7 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":"be179d44-1fad-48b3-be7a-ba54ae52df45","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":"石黒, 史也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"片桐, 孝洋"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大島, 聡史"}],"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":"基本線形代数サブプログラム BLAS は多くの線形計算で必須であるが，演算精度に関する考慮が不十分であることが多い．一方，倍精度演算による精度を保証する高精度行列-行列積アルゴリズムが知られている．また，複数の BLAS 演算をまとめて実行することで演算効率を向上させる，Batched BLAS という数値計算ライブラリが近年提案されている．本研究では，高精度行列 - 行列積アルゴリズムに Batched BLAS を適用した実装方式を提案するとともに，演算の途中で密行列から疎行列になる特性を利用した 「疎行列 - 密行列」 実装方式の演算性能について，東京大学に設置されている Reedbush - H システムの GPU 環境を利用して性能評価を行った．性能評価の結果，Batched BLAS を適用することで CPU 環境で最大 58.9%，GPU 環境で最大で 25.7% まで実行時間が短縮された．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","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":"2018-07-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"32","bibliographicVolumeNumber":"2018-HPC-165"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-20T01:07:00.961283+00:00","links":{}}