{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00231048","sets":["1164:1579:11081:11407"]},"path":["11407"],"owner":"44499","recid":"231048","title":["Pythonに基づくストリーム型高位合成コンパイラの機能レベル検証の高速化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-11-28"},"_buckets":{"deposit":"64055d64-8bd7-4878-be28-b9b7de180931"},"_deposit":{"id":"231048","pid":{"type":"depid","value":"231048","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Pythonに基づくストリーム型高位合成コンパイラの機能レベル検証の高速化","author_link":["623129","623130"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Pythonに基づくストリーム型高位合成コンパイラの機能レベル検証の高速化"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"次世代アーキと自動最適化","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":"東京大学"},{"subitem_text_value":"東京大学"}]},"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/231048/files/IPSJ-ARC23255009.pdf","label":"IPSJ-ARC23255009.pdf"},"date":[{"dateType":"Available","dateValue":"2025-11-28"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ARC23255009.pdf","filesize":[{"value":"387.7 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":"16"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8afaf85c-a4d9-4719-953d-0a874a556e2e","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":"伊賀, 彰"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高前田, 伸也"}],"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":"近年，ムーアの法則やデナードスケーリングの崩壊により CPU の性能向上が鈍化する中，ドメイン固有アーキテクチャ (DSA) の需要が高まっている．DSA は，再構成可能デバイスの一つである FPGA を使用して開発されることが多く，従来は Verilog や VHDL などのレジスタ転送レベル (RTL) の言語が使用されてきた．だが，RTL では複雑なアルゴリズムの設計や検証には困難を極める．そのため，近年では開発のコスト削減のために高位合成が導入されるケースが増えている．本研究では，Veriloggen という Python に基づく高位合成ツールに対し，その機能の一つである Stream の新たな検証手法を提案する．本手法では，フロントエンド上の表現を用いた Python 上でのシミュレーションを行っている．この手法により，従来の Verilog シミュレーションを用いた手法と比べて大きくオーバーヘッドを削減し，約 225 倍の高速化を確認できた．","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":"2023-11-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"2023-ARC-255"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:31:10.754851+00:00","updated":"2025-01-19T10:53:42.839891+00:00","id":231048}