{"id":"https://openalex.org/W3169108096","doi":"https://doi.org/10.1145/3449301.3449342","title":"A Research and Design of Lightweight Convolutional Neural Networks Accelerator Based on Systolic Array Structure","display_name":"A Research and Design of Lightweight Convolutional Neural Networks Accelerator Based on Systolic Array Structure","publication_year":2020,"publication_date":"2020-11-20","ids":{"openalex":"https://openalex.org/W3169108096","doi":"https://doi.org/10.1145/3449301.3449342","mag":"3169108096"},"language":"en","primary_location":{"id":"doi:10.1145/3449301.3449342","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3449301.3449342","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th International Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3449301.3449342","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020072616","display_name":"Yunping Zhao","orcid":"https://orcid.org/0000-0002-5600-3740"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunping Zhao","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100616860","display_name":"Xiaowen Chen","orcid":"https://orcid.org/0000-0002-0313-6363"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Chen","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101888899","display_name":"Rui Xu","orcid":"https://orcid.org/0000-0002-5549-236X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Xu","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036139882","display_name":"Jinhui Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Wei","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047072104","display_name":"Jianzhuang Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhuang Lu","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032061647","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0003-2169-0007"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020072616"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.23810064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9933000206947327,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9933000206947327,"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":0.9922000169754028,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9706000089645386,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7794407606124878},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7721874117851257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7172333598136902},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5970263481140137},{"id":"https://openalex.org/keywords/systolic-array","display_name":"Systolic array","score":0.5873276591300964},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5188463926315308},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.4745120406150818},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.4183158278465271},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.40691837668418884},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3598853349685669},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3584515452384949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33305102586746216},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.24819806218147278},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.22872820496559143},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.08463889360427856},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0834977924823761}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7794407606124878},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7721874117851257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172333598136902},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5970263481140137},{"id":"https://openalex.org/C150741067","wikidata":"https://www.wikidata.org/wiki/Q2377218","display_name":"Systolic array","level":3,"score":0.5873276591300964},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5188463926315308},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.4745120406150818},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.4183158278465271},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.40691837668418884},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3598853349685669},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3584515452384949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33305102586746216},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.24819806218147278},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.22872820496559143},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.08463889360427856},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0834977924823761},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3449301.3449342","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3449301.3449342","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th International Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3449301.3449342","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3449301.3449342","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th International Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2289252105","https://openalex.org/W2515287984","https://openalex.org/W2789333991","https://openalex.org/W2887936511","https://openalex.org/W2945823799","https://openalex.org/W3177525997"],"related_works":["https://openalex.org/W3133116121","https://openalex.org/W2625058759","https://openalex.org/W3195471267","https://openalex.org/W2971009090","https://openalex.org/W3032310658","https://openalex.org/W4282568311","https://openalex.org/W3193212547","https://openalex.org/W4313484792","https://openalex.org/W3157864596","https://openalex.org/W4295935044"],"abstract_inverted_index":{"With":[0],"the":[1,9,20,64,70,75,78,85,97,112,127,131,139,158],"wide":[2],"application":[3],"of":[4,11,23,36,44,49,81,130,141,160],"convolutional":[5],"neural":[6],"networks(CNNs)":[7],"in":[8,163],"field":[10],"artificial":[12],"intelligence,":[13],"more":[14],"attention":[15],"has":[16],"been":[17],"paid":[18],"to":[19,173],"architecture":[21],"design":[22,53,61,128],"CNNs":[24,51,66,136,176],"accelerator.":[25],"But":[26],"even":[27],"so,":[28],"there":[29,40],"is":[30,41,183],"little":[31],"research":[32,94,162],"on":[33,69,96,111],"hardware":[34],"acceleration":[35,147],"light-weight":[37],"CNNs,":[38,83],"and":[39,46,93,104,114,123,138,151,166],"a":[42,60],"lack":[43],"systematic":[45,113],"in-depth":[47],"exploration":[48],"lightweight":[50,65,82,135,175],"accelerator":[52,67,98,137],"space.":[54],"In":[55],"this":[56,164],"paper,":[57],"we":[58,88,117],"propose":[59],"scheme":[62],"for":[63,126,157,170],"based":[68,134],"systolic":[71,132],"array":[72,108,133],"structure.":[73],"Taking":[74],"MobileNet":[76,181],"series,":[77],"typical":[79],"representative":[80],"as":[84],"test":[86],"benchmark,":[87],"carry":[89],"out":[90],"detailed":[91],"experiments":[92],"analysis":[95],"performance":[99],"under":[100,189],"different":[101,105],"data-flow":[102],"modes":[103],"core":[106],"computing":[107],"scales.":[109],"Based":[110],"comprehensive":[115],"experiments,":[116],"provide":[118],"powerful":[119],"experimental":[120],"data":[121],"supporting":[122],"scientific":[124],"guidance":[125],"space":[129],"trade-off":[140],"various":[142],"indicators":[143],"including":[144],"operational":[145],"efficiency,":[146],"ratio,":[148],"cycle":[149],"time":[150],"so":[152],"on,":[153],"which":[154],"makes":[155,167],"up":[156,185],"blank":[159],"current":[161],"field,":[165],"great":[168],"convenience":[169],"subsequent":[171],"designers":[172],"develop":[174],"accelerators.":[177],"Through":[178],"our":[179],"research,":[180],"V1":[182],"speeded":[184],"nearly":[186],"1.2":[187],"times":[188],"certain":[190],"conditions.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
