{"id":"https://openalex.org/W4386323233","doi":"https://doi.org/10.1109/icce-taiwan58799.2023.10226679","title":"An Efficient Convolutional Neural Network Accelerator","display_name":"An Efficient Convolutional Neural Network Accelerator","publication_year":2023,"publication_date":"2023-07-17","ids":{"openalex":"https://openalex.org/W4386323233","doi":"https://doi.org/10.1109/icce-taiwan58799.2023.10226679"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan58799.2023.10226679","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan58799.2023.10226679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008507157","display_name":"Yeong-Kang Lai","orcid":"https://orcid.org/0000-0002-5465-7935"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yeong-Kang Lai","raw_affiliation_strings":["National Chung Hsing University,Department of Electrical Engineering,Taichung,Taiwan","Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Electrical Engineering,Taichung,Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092819140","display_name":"Zheng-Xun Yeh","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Zheng-Xun Yeh","raw_affiliation_strings":["National Chung Hsing University,Department of Electrical Engineering,Taichung,Taiwan","Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Electrical Engineering,Taichung,Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008507157"],"corresponding_institution_ids":["https://openalex.org/I162838928"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10367155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7928986549377441},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7257672548294067},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6446385383605957},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.62978196144104},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5282889008522034},{"id":"https://openalex.org/keywords/tree-kernel","display_name":"Tree kernel","score":0.48048868775367737},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.40336281061172485},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3712310194969177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2860422730445862},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.20940810441970825},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.11358204483985901},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08458328247070312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07107576727867126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7928986549377441},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7257672548294067},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6446385383605957},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.62978196144104},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5282889008522034},{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.48048868775367737},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.40336281061172485},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3712310194969177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2860422730445862},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.20940810441970825},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.11358204483985901},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08458328247070312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07107576727867126},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan58799.2023.10226679","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan58799.2023.10226679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2289252105","https://openalex.org/W2570343428","https://openalex.org/W2794754997","https://openalex.org/W2945146780","https://openalex.org/W3094627520"],"related_works":["https://openalex.org/W2152269015","https://openalex.org/W1980892394","https://openalex.org/W2161638835","https://openalex.org/W1983263273","https://openalex.org/W1854213051","https://openalex.org/W4250428774","https://openalex.org/W2385359934","https://openalex.org/W2408517584","https://openalex.org/W3100948281","https://openalex.org/W2179275589"],"abstract_inverted_index":{"This":[0,7],"paper":[1],"proposes":[2],"a":[3,23],"three-dimensional":[4],"tree":[5,12,15,48],"architecture.":[6],"architecture":[8,16,49],"consists":[9],"of":[10,22,46,62],"32":[11],"architectures.":[13],"Each":[14],"is":[17],"responsible":[18],"for":[19],"all":[20],"operations":[21],"kernel,":[24],"so":[25],"that":[26],"each":[27,39],"kernel":[28,40],"can":[29,41],"be":[30],"processed":[31],"in":[32,38,55],"parallel.":[33],"The":[34],"inner":[35],"product":[36],"operation":[37],"also":[42],"use":[43],"the":[44,47,60],"characteristics":[45],"to":[50],"achieve":[51,59],"parallel":[52,63],"operations.":[53],"Operations":[54],"two":[56],"different":[57],"dimensions":[58],"goal":[61],"processing.":[64]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}