{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00213249","sets":["1164:2036:10484:10724"]},"path":["10724"],"owner":"44499","recid":"213249","title":["連想メモリベース超並列SIMD型演算コアを用いた乗算手法の実装と評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-10-08"},"_buckets":{"deposit":"419599d8-75a1-4ddd-bceb-95111719f86c"},"_deposit":{"id":"213249","pid":{"type":"depid","value":"213249","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"連想メモリベース超並列SIMD型演算コアを用いた乗算手法の実装と評価","author_link":["545348","545344","545347","545350","545345","545349","545346"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"連想メモリベース超並列SIMD型演算コアを用いた乗算手法の実装と評価"},{"subitem_title":"Implementation and evaluation of multiplication algorithm for content addressable memory-based massive-parallel SIMD matrix core","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ポスターセッション","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-10-08","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"立命館大学"},{"subitem_text_value":"立命館大学"},{"subitem_text_value":"立命館大学"},{"subitem_text_value":"立命館大学"},{"subitem_text_value":"立命館大学"},{"subitem_text_value":"広島大学ナノデバイス・バイオ融合科学研究所(RNBS)"},{"subitem_text_value":"立命館大学"}]},"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/213249/files/IPSJ-SLDM21195002.pdf","label":"IPSJ-SLDM21195002.pdf"},"date":[{"dateType":"Available","dateValue":"2023-10-08"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLDM21195002.pdf","filesize":[{"value":"1.0 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":"10"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"e7ac70ea-43f9-4585-8754-60448fd67bfd","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"蔭山, 享佑"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"荒井, 聡太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"濱野, 甫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"濱井, 彰光"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"孔, 祥博"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小出, 哲士"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"熊木, 武志"}],"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":"近年，画像，AI 等，様々なマルチメディア処理がモバイル機器で実行されるに従って，高性能，プログラマブル及び汎用性のあるプロセッサが求められてきている．一般に，マルチメディア処理は繰り返し演算処理とテーブルルックアップ処理から構成されており，我々はこれらを高速に処理可能な連想メモリベース超並列 SIMD 型演算コア（CAMX）を提案してきた．CAMX は左右の連想メモリが 1,000 を超える小規模演算器群を挟み込んだ構成となっており，モバイル機器に組込まれているプロセッサのアクセラレータとして機能する．本論文では，CAMX に検索加算繰り返し演算処理及び Baugh-Wooley 演算処理による乗算を実装し，最適な乗算手法を検証する．その結果，15 ビット以上の乗算では Baugh-Wooley 演算処理による乗算が検索加算繰り返し演算処理による乗算よりも高速に演算可能であることを確認した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告システムとLSIの設計技術（SLDM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-10-08","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2021-SLDM-195"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":213249,"updated":"2025-01-19T17:13:30.452355+00:00","links":{},"created":"2025-01-19T01:14:08.151674+00:00"}