{"id":178607,"created":"2025-01-19T00:47:56.667856+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00178607","sets":["1164:2240:9116:9145"]},"path":["9145"],"owner":"11","recid":"178607","title":["京コンピュータにおける2.5次元アルゴリズムを用いた分散並列行列積の実装と評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-04-10"},"_buckets":{"deposit":"d535c8e0-29cb-4414-a112-da83350a76f8"},"_deposit":{"id":"178607","pid":{"type":"depid","value":"178607","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"京コンピュータにおける2.5次元アルゴリズムを用いた分散並列行列積の実装と評価","author_link":["383093","383094"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"京コンピュータにおける2.5次元アルゴリズムを用いた分散並列行列積の実装と評価"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"行列計算","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2017-04-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"理化学研究所計算科学研究機構"},{"subitem_text_value":"理化学研究所計算科学研究機構"}]},"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/178607/files/IPSJ-HPC17159001.pdf","label":"IPSJ-HPC17159001.pdf"},"date":[{"dateType":"Available","dateValue":"2019-04-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HPC17159001.pdf","filesize":[{"value":"956.0 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":"bba8e1e3-3950-4f59-80f1-9f64a4be90fa","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"椋木, 大地"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"今村, 俊幸"}],"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":"分散並列環境における行列積計算の通信削減手法として，2.5 次元アルゴリズムが提案されている．本稿では 2.5 次元アルゴリズムを使用した倍精度の分散並列行列積 （2.5 D-PDGEMM） を実装し，京コンピュータにおいてその性能を分析した．2.5 D-PDGEMM を利用するには行列データを 3 次元形状に分散する必要があるが，我々は 2.5 D-PDGEMM を従来型の 2 次元アルゴリズムを採用する PDGEMM の代用とすることを想定し，行列が 2 次元で分散されている状態に対して 2.5 次元アルゴリズムを実行する実装した．京コンピュータの 16384 ノード （131072 コア） を使用した性能評価では，ScaLAPACK の PDGEMM ルーチンを含む従来の 2 次元アルゴリズムによる実装と比べ，行列の再分散コストを考慮しても，我々の実装した 2.5 D-PDGEMM が高速となるケースがあり，2.5 次元アルゴリズムが PDGEMM の強スケーリング性を改善するために有効であることが確認された．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","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":"2017-04-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2017-HPC-159"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-20T05:03:10.645119+00:00","links":{}}