{"updated":"2025-01-19T08:50:34.893480+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00237566","sets":["1164:2240:11467:11704"]},"path":["11704"],"owner":"44499","recid":"237566","title":["Leveraging GPUDirect Storage for Efficient Image Reconstruction"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-08-01"},"_buckets":{"deposit":"109ac4f7-d24e-43a4-bcf1-1ed02ddb7c5e"},"_deposit":{"id":"237566","pid":{"type":"depid","value":"237566","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Leveraging GPUDirect Storage for Efficient Image Reconstruction","author_link":["650517","650523","650520","650525","650516","650521","650518","650524","650519","650522"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Leveraging GPUDirect Storage for Efficient Image Reconstruction"},{"subitem_title":"Leveraging GPUDirect Storage for Efficient Image Reconstruction","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"分散システム","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-08-01","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Tokyo Institute of Technology／RIKEN Center for Computational Science"},{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology (AIST)／RIKEN Center for Computational Science"},{"subitem_text_value":"Tokyo Institute of Technology"},{"subitem_text_value":"RIKEN Center for Computational Science"},{"subitem_text_value":"RIKEN Center for Computational Science"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Institute of Technology / RIKEN Center for Computational Science","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology (AIST) / RIKEN Center for Computational Science","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Center for Computational Science","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Center for Computational Science","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/237566/files/IPSJ-HPC24195005.pdf","label":"IPSJ-HPC24195005.pdf"},"date":[{"dateType":"Available","dateValue":"2026-08-01"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HPC24195005.pdf","filesize":[{"value":"1.2 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":"af60c903-29ea-41a5-996c-9da9e98da5ce","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Du, Wu"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Peng, Chen"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toshio, Endo"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Satoshi, Matsuoka"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mohamed, Wahib"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Du, Wu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Peng, Chen","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toshio, Endo","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Satoshi, Matsuoka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mohamed, Wahib","creatorNameLang":"en"}],"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":"GPUDirect Storage, a novel tool provided by Nvidia, facilitates better utilization of GPUs by avoiding extra copies through a bounce buffer in the CPU host memory and enabling direct memory access. This technology offers significant advantages, particularly its high throughput capabilities. However, it also presents challenges due to high instruction latency. In image reconstruction, input data transfer often involves multiple small data blocks, which prevents optimal utilization of GPUDirect Storage, while output data transfer is large data blocks, which is well suited for GPUDirect Storage. This paper experimentally confirms the high throughput and high instruction latency of GPUDirect Storage. We also propose a novel solution to improve the efficiency of small data block transfers in image reconstruction, leveraging GPUDirect Storage's strengths while mitigating its latency issues.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"GPUDirect Storage, a novel tool provided by Nvidia, facilitates better utilization of GPUs by avoiding extra copies through a bounce buffer in the CPU host memory and enabling direct memory access. This technology offers significant advantages, particularly its high throughput capabilities. However, it also presents challenges due to high instruction latency. In image reconstruction, input data transfer often involves multiple small data blocks, which prevents optimal utilization of GPUDirect Storage, while output data transfer is large data blocks, which is well suited for GPUDirect Storage. This paper experimentally confirms the high throughput and high instruction latency of GPUDirect Storage. We also propose a novel solution to improve the efficiency of small data block transfers in image reconstruction, leveraging GPUDirect Storage's strengths while mitigating its latency issues.","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":"2024-08-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2024-HPC-195"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":237566,"created":"2025-01-19T01:40:15.913915+00:00"}