{"id":187450,"created":"2025-01-19T00:54:07.457388+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00187450","sets":["1164:2240:9411:9464"]},"path":["9464"],"owner":"11","recid":"187450","title":["GPUにおけるSELL形式疎行列ベクトル積の実装と性能評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-04-30"},"_buckets":{"deposit":"33f8f0aa-72a4-40e1-8ff3-085aee7c6093"},"_deposit":{"id":"187450","pid":{"type":"depid","value":"187450","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"GPUにおけるSELL形式疎行列ベクトル積の実装と性能評価","author_link":["424216","424215"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"GPUにおけるSELL形式疎行列ベクトル積の実装と性能評価"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"数値計算","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-04-30","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波大学大学院システム情報工学研究科"},{"subitem_text_value":"筑波大学計算科学研究センター"}]},"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/187450/files/IPSJ-HPC18164003.pdf","label":"IPSJ-HPC18164003.pdf"},"date":[{"dateType":"Available","dateValue":"2020-04-30"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HPC18164003.pdf","filesize":[{"value":"1.4 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":"c37cf69b-a49d-4aff-9728-957d901ceea0","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":"佐藤, 駿一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高橋, 大介"}],"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":"疎行列ベクトル積は科学技術計算で広く使われる重要な計算である．疎行列ベクトル積は疎行列の格納形式を，自身の構造と使用する計算機のアーキテクチャに応じて変更することにより，不必要な計算，記憶領域の使用を削減できる．そのため，これまでに様々な疎行列の格納形式が提案されてきた．近年アクセラレータとして GPU が注目されており，GPU に対応した疎行列の格納形式として SELL 形式が提案されている．GPU を使用し疎行列ベクトル積を行うライブラリとして，NVIDIA により cuSPARSE が提供されているが，このライブラリに SELL 形式は実装されていない．本研究では GPU が搭載されているシステムにおいて SELL 形式の疎行列ベクトル積の実装を行い，The University of Florida Sparse Matrix Collection から収集した疎行列を使用し，評価を行った．その結果，cuSPARSE と比較して最大で約 1.02 倍の性能向上を達成した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"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":"2018-04-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2018-HPC-164"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-20T02:15:48.916628+00:00","links":{}}