{"links":{},"id":237618,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00237618","sets":["1164:1579:11464:11703"]},"path":["11703"],"owner":"44499","recid":"237618","title":["Acceleration of Data Assimilation for Rainfall Prediction with Co-design of Hardware and Software"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-08-01"},"_buckets":{"deposit":"22d98e98-2a8d-4322-b721-61563e4e3878"},"_deposit":{"id":"237618","pid":{"type":"depid","value":"237618","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Acceleration of Data Assimilation for Rainfall Prediction with Co-design of Hardware and Software","author_link":["650823","650824","650817","650818","650820","650819","650821","650822"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Acceleration of Data Assimilation for Rainfall Prediction with Co-design of Hardware and Software"},{"subitem_title":"Acceleration of Data Assimilation for Rainfall Prediction with Co-design of Hardware and Software","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ビックデータ処理・信頼性","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":"Fujitsu Ltd."},{"subitem_text_value":"RIKEN"},{"subitem_text_value":"Fujitsu Ltd"},{"subitem_text_value":"Fujitsu Ltd"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Fujitsu Ltd.","subitem_text_language":"en"},{"subitem_text_value":"RIKEN","subitem_text_language":"en"},{"subitem_text_value":"Fujitsu Ltd","subitem_text_language":"en"},{"subitem_text_value":"Fujitsu Ltd","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/237618/files/IPSJ-ARC24258024.pdf","label":"IPSJ-ARC24258024.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ARC24258024.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"16"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"4993849e-fde6-453c-be83-62a7c86c111f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Sameer, Deshmukh"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Arata, Amemiya"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takumi, Honda"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Elmor, Lang Ian"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Sameer, Deshmukh","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Arata, Amemiya","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takumi, Honda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Elmor, Lang Ian","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10096105","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":"2188-8574","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Rainfall forecasting is an important application of scientific computing that has a far-reaching impact on humanity. Accurate and timely forecasts can make the difference between life and death for people affected by severe weather conditions. High quality forecasts depend mainly upon availability of data and computational resources. The MP-PAWR at Saitama University generates high quality distributions of 3D radar reflectivity at 30 second intervals. The data from this radar has been used to generate rainfall density forecasts using the SCALE-LETKF algorithm. The SCALE-LETKF algorithm is very inefficient on currently available architectures, utilizing only about 5% of the available computational capacity of Fugaku. Improvement in the computational efficiency of SCALE-LETKF can hold tremendous value for the accuracy, speed and energy efficiency of rainfall forecasts. LETKF from SCALE-LETKF occupies a majority of the computational resources. LETKF is designed for processing large amounts of data, and has been written over several years, comprising more than 20,000 lines of FORTRAN code. We propose a mini-application that imitates the most important performance and numerical characteristics of LETKF. We then propose an alternative hardware accelerator that can potentially achieve higher computational efficiency than currently available hardware.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Rainfall forecasting is an important application of scientific computing that has a far-reaching impact on humanity. Accurate and timely forecasts can make the difference between life and death for people affected by severe weather conditions. High quality forecasts depend mainly upon availability of data and computational resources. The MP-PAWR at Saitama University generates high quality distributions of 3D radar reflectivity at 30 second intervals. The data from this radar has been used to generate rainfall density forecasts using the SCALE-LETKF algorithm. The SCALE-LETKF algorithm is very inefficient on currently available architectures, utilizing only about 5% of the available computational capacity of Fugaku. Improvement in the computational efficiency of SCALE-LETKF can hold tremendous value for the accuracy, speed and energy efficiency of rainfall forecasts. LETKF from SCALE-LETKF occupies a majority of the computational resources. LETKF is designed for processing large amounts of data, and has been written over several years, comprising more than 20,000 lines of FORTRAN code. We propose a mini-application that imitates the most important performance and numerical characteristics of LETKF. We then propose an alternative hardware accelerator that can potentially achieve higher computational efficiency than currently available hardware.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告システム・アーキテクチャ（ARC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-08-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"24","bibliographicVolumeNumber":"2024-ARC-258"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:40:20.932083+00:00","updated":"2025-01-19T08:49:26.550315+00:00"}