{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:16:46Z","timestamp":1750220206681,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,8,29]],"date-time":"2022-08-29T00:00:00Z","timestamp":1661731200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,8,29]]},"DOI":"10.1145\/3547276.3548515","type":"proceedings-article","created":{"date-parts":[[2023,1,15]],"date-time":"2023-01-15T00:56:17Z","timestamp":1673744177000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["The Support of MLIR HLS Adaptor for LLVM IR"],"prefix":"10.1145","author":[{"given":"Geng-Ming","family":"Liang","sequence":"first","affiliation":[{"name":"National Tsing Hua University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuan-Yue","family":"Yuan","sequence":"additional","affiliation":[{"name":"National Tsing Hua University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng-Shiun","family":"Yu","sequence":"additional","affiliation":[{"name":"National Tsing Hua University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tai-Liang","family":"Chen","sequence":"additional","affiliation":[{"name":"National Tsing Hua University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuan-Hsun","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Twente, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jenq-Kuen","family":"Lee","sequence":"additional","affiliation":[{"name":"National Tsing Hua University, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,1,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Bridging Python to Silicon: The SODA Toolchain","author":"Agostini Nicolas\u00a0Bohm","year":"2022","unstructured":"Nicolas\u00a0Bohm Agostini, Serena Curzel, Jeff Zhang, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito\u00a0Giovanni Castellana, Joseph Manzano, David Brooks, 2022. Bridging Python to Silicon: The SODA Toolchain. IEEE Micro (2022)."},{"key":"e_1_3_2_1_2_1","unstructured":"Uday Bondhugula. 2020. High performance code generation in mlir: An early case study with gemm. arXiv preprint arXiv:2003.00532(2020)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3431920.3439301"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2011.2110592"},{"key":"e_1_3_2_1_5_1","unstructured":"Luka Daoud Fady Hussein and Nader Rafla. 2019. Optimization of advanced encryption standard (AES) using vivado high level synthesis (HLS). (2019)."},{"key":"e_1_3_2_1_6_1","unstructured":"Lian Her and Jenq-Kuen Lee. 2018. OpenCL Vector Swizzling Optimization under Global Value Numbering."},{"key":"e_1_3_2_1_7_1","unstructured":"Tian Jin Gheorghe-Teodor Bercea Tung\u00a0D Le Tong Chen Gong Su Haruki Imai Yasushi Negishi Anh Leu Kevin O\u2019Brien Kiyokuni Kawachiya 2020. Compiling ONNX neural network models using MLIR. arXiv preprint arXiv:2008.08272(2020)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CGO.2004.1281665"},{"key":"e_1_3_2_1_9_1","volume-title":"MLIR: A compiler infrastructure for the end of Moore\u2019s law. arXiv preprint arXiv:2002.11054(2020).","author":"Lattner Chris","year":"2020","unstructured":"Chris Lattner, Mehdi Amini, Uday Bondhugula, Albert Cohen, Andy Davis, Jacques Pienaar, River Riddle, Tatiana Shpeisman, Nicolas Vasilache, and Oleksandr Zinenko. 2020. MLIR: A compiler infrastructure for the end of Moore\u2019s law. arXiv preprint arXiv:2002.11054(2020)."},{"key":"e_1_3_2_1_10_1","volume-title":"Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, 2019. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3084690"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3470644"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-018-1377-4"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3489517.3530631"}],"event":{"name":"ICPP '22: 51st International Conference on Parallel Processing","acronym":"ICPP '22","location":"Bordeaux France"},"container-title":["Workshop Proceedings of the 51st International Conference on Parallel Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3547276.3548515","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3547276.3548515","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:56Z","timestamp":1750186976000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3547276.3548515"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,29]]},"references-count":14,"alternative-id":["10.1145\/3547276.3548515","10.1145\/3547276"],"URL":"https:\/\/doi.org\/10.1145\/3547276.3548515","relation":{},"subject":[],"published":{"date-parts":[[2022,8,29]]},"assertion":[{"value":"2023-01-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}