{"created":"2025-01-19T01:28:02.837476+00:00","updated":"2025-01-19T11:40:26.515441+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00228915","sets":["1164:2036:11089:11372"]},"path":["11372"],"owner":"44499","recid":"228915","title":["カオス・ボルツマン・マシンをべースとしたレザバーコンピューティングの高位合成実装－外部メモリへのデータ圧縮による疎行列乗算の大規模化と効率化－"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-11-10"},"_buckets":{"deposit":"3f951d98-29f4-4311-911c-f8e78dfddbe4"},"_deposit":{"id":"228915","pid":{"type":"depid","value":"228915","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"カオス・ボルツマン・マシンをべースとしたレザバーコンピューティングの高位合成実装－外部メモリへのデータ圧縮による疎行列乗算の大規模化と効率化－","author_link":["614738","614745","614741","614740","614742","614743","614739","614744"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"カオス・ボルツマン・マシンをべースとしたレザバーコンピューティングの高位合成実装－外部メモリへのデータ圧縮による疎行列乗算の大規模化と効率化－"},{"subitem_title":"High-Level Synthesis Implementation of a Reservoir Computing based on Chaotic Boltzmann Machine－Improving scalability and efficiency of sparse matrix multiplication through a dedicated data compression in external memory－","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"FPGA応用","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-11-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"株式会社アイヴィス"},{"subitem_text_value":"株式会社アイヴィス"},{"subitem_text_value":"株式会社アイヴィス"},{"subitem_text_value":"九州工業大学大学院生命体工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"IVIS, Inc.","subitem_text_language":"en"},{"subitem_text_value":"IVIS, Inc.","subitem_text_language":"en"},{"subitem_text_value":"IVIS, Inc.","subitem_text_language":"en"},{"subitem_text_value":"Kyushu Institute of Technology","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/228915/files/IPSJ-SLDM23204048.pdf","label":"IPSJ-SLDM23204048.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLDM23204048.pdf","filesize":[{"value":"1.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"10"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"542b3691-f9b0-48a6-ac3f-c994c506652a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 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":"松本, 茂樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"市川, 湧希"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"梶原, 信樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田向, 権"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shigeki, Matsumoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuki, Ichikawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobuki, Kajihara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hakaru, Tamukoh","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11451459","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":"2188-8639","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，多次元空間における粒子の複雑なダイナミクスを利用したカオス・ボルツマン・マシン・レザバー・コンピューティング（CBM-RC）の FPGA 実装について報告する．自律移動ロボットのセンサ情報予測等への適用を想定しており，レザバーは大規模なものとなる．そのため重み情報は FPGA 外部の大容量メモリに格納することを前提に実装方式を設計する．CBM-RC ノードの変化の特性，及び，大規模レザバーの重み行列は一般的には疎行列になることを考慮し，重み行列の効率的な圧縮方法と FPGA での並列演算による効率的な実装方式を提案する．AMD（Xilinx）社の Alveo U50 FPGA 上に，ニューロン数 8000 以上の CBM-RC を実現した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper reports on an FPGA implementation of Chaotic Boltzmann Machine Reservoir Computing (CBM-RC). The reservoir will be large-scale, as it is expected to be applied to sensor information prediction for autonomous mobile robots. Therefore, the method is designed with the premise that the weight information is stored in a large memory outside the FPGA. Considering both the characteristics of CBM-RC and the weight matrix of a large-scale reservoir is generally a sparse matrix, an efficient compression method for the weight matrix and a parallel processing system are developed. A CBM-RC with more than 8000 neurons is realized using AMD (Xilinx) Alveo U50 FPGA.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告システムとLSIの設計技術（SLDM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-11-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"48","bibliographicVolumeNumber":"2023-SLDM-204"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":228915,"links":{}}