{"created":"2025-01-19T01:31:16.702315+00:00","updated":"2025-01-19T10:52:26.423446+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00231111","sets":["1164:2240:11176:11408"]},"path":["11408"],"owner":"44499","recid":"231111","title":["OpenFDTDのSYCLによるGPUオフロードの検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-11-28"},"_buckets":{"deposit":"cf2eb04a-9178-477e-9814-419124c20398"},"_deposit":{"id":"231111","pid":{"type":"depid","value":"231111","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"OpenFDTDのSYCLによるGPUオフロードの検討","author_link":["623415"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"OpenFDTDのSYCLによるGPUオフロードの検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"アクセラレータ","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-11-28","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京電機大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Denki 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/231111/files/IPSJ-HPC23192033.pdf","label":"IPSJ-HPC23192033.pdf"},"date":[{"dateType":"Available","dateValue":"2025-11-28"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HPC23192033.pdf","filesize":[{"value":"306.3 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":"bc989a61-b3f5-4ad7-af93-005b319b6f76","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"池井, 満"}],"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":"OpenFDTD の GPU へのオフロードを，公開されている CUDA プログラムを SYCL 実装に置換する方法で試みている．本手法では，C で記述された演算プログラムをそのまま C++ としてコンパイルし，演算空間用配列等の広域メモリ領域は SYCL の USM を用いてホスト及びデバイス上に確保する．また，それらのアドレスを保持するグローバル変数は，SYCL から GPU に演算カーネル部分を投入する際に，ローカルの引数にコピーする手法でデバイスに渡す．この手法により，Intel の GPU を用いても，NVIDIA の GPU による CUDA での動作と同様な性能が得られることが分かった．さらに NVIDI A の RTX3060 と GT1030 を用いたベンチマークでは，CUDA を使用したものに対して 90％ 以上の性能を得られることを確認した．","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":"2023-11-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"33","bibliographicVolumeNumber":"2023-HPC-192"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":231111,"links":{}}