{"id":"https://openalex.org/W2996324780","doi":"https://doi.org/10.1145/3371425.3371486","title":"A CNN accelerator on embedded FPGA using dynamic reconfigurable coprocessor","display_name":"A CNN accelerator on embedded FPGA using dynamic reconfigurable coprocessor","publication_year":2019,"publication_date":"2019-12-10","ids":{"openalex":"https://openalex.org/W2996324780","doi":"https://doi.org/10.1145/3371425.3371486","mag":"2996324780"},"language":"en","primary_location":{"id":"doi:10.1145/3371425.3371486","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113772144","display_name":"Jinyong Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JinYong Yin","raw_affiliation_strings":["Jiangsu Automation Research Institute, Lianyungang, Jiangsu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Automation Research Institute, Lianyungang, Jiangsu","institution_ids":["https://openalex.org/I4210118629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107061611","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-0036-9233"},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Jiangsu Automation Research Institute, Lianyungang, Jiangsu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Automation Research Institute, Lianyungang, Jiangsu","institution_ids":["https://openalex.org/I4210118629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100517922","display_name":"Yang Hong-bin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Yang","raw_affiliation_strings":["Jiangsu Automation Research Institute, Lianyungang, Jiangsu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Automation Research Institute, Lianyungang, Jiangsu","institution_ids":["https://openalex.org/I4210118629"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016000041","display_name":"Zexing Du","orcid":"https://orcid.org/0000-0003-0954-2757"},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexing Du","raw_affiliation_strings":["Jiangsu Automation Research Institute, Liangungang, Jiangsu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Automation Research Institute, Liangungang, Jiangsu","institution_ids":["https://openalex.org/I4210118629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210118629"],"apc_list":null,"apc_paid":null,"fwci":0.328,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62673926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9968000054359436,"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":0.9962999820709229,"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/coprocessor","display_name":"Coprocessor","score":0.9381453990936279},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.8281862735748291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7167764902114868},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5534277558326721},{"id":"https://openalex.org/keywords/reconfigurable-computing","display_name":"Reconfigurable computing","score":0.5218110084533691},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.37144899368286133},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34747636318206787},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.32513269782066345}],"concepts":[{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.9381453990936279},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8281862735748291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167764902114868},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5534277558326721},{"id":"https://openalex.org/C142962650","wikidata":"https://www.wikidata.org/wiki/Q240838","display_name":"Reconfigurable computing","level":3,"score":0.5218110084533691},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.37144899368286133},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34747636318206787},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.32513269782066345}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3371425.3371486","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1990315422","https://openalex.org/W2072128103","https://openalex.org/W2076063813","https://openalex.org/W2096645269","https://openalex.org/W2163605009","https://openalex.org/W2164701340","https://openalex.org/W2284646714","https://openalex.org/W2520083297","https://openalex.org/W2557283755","https://openalex.org/W2557355796","https://openalex.org/W2896556344","https://openalex.org/W2896983500","https://openalex.org/W2964236337","https://openalex.org/W2975566358","https://openalex.org/W4231109964","https://openalex.org/W4387007199"],"related_works":["https://openalex.org/W2160342394","https://openalex.org/W2154961667","https://openalex.org/W2108029534","https://openalex.org/W2063534976","https://openalex.org/W2090940121","https://openalex.org/W2135866361","https://openalex.org/W3166559827","https://openalex.org/W2987062793","https://openalex.org/W2141458065","https://openalex.org/W2158605158"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2,52,114],"(CNN)":[3],"has":[4,46,74],"been":[5],"widely":[6],"deployed":[7],"in":[8],"deep":[9],"learning":[10],"networks":[11],"at":[12],"present.":[13],"However,":[14],"numerous":[15],"convolution":[16],"operations":[17],"are":[18],"computing":[19],"intensive":[20],"and":[21,59,101,121,168,194,224],"often":[22],"require":[23],"powerful":[24],"accelerator":[25,71,93,106,120,123,138,146,171,181,213],"such":[26,42,54,76,198],"as":[27,33,43,55,77,182,199],"FPGA.":[28,84,175],"The":[29,207],"existed":[30],"accelerators":[31],"usually":[32],"IO":[34],"devices":[35],"communicate":[36,148],"with":[37,149,229],"CPU":[38,150],"by":[39,151,191,232],"data":[40],"bus":[41,231],"AMBA":[44,230],"which":[45,97],"large":[47],"latency":[48],"relatively.":[49],"Moreover,":[50],"different":[51,62],"models":[53],"AlexNet,":[56],"VGG,":[57],"SSD":[58],"YOLO":[60],"have":[61,117],"operators.":[63],"As":[64],"a":[65,68,88,118,140,183,204],"result,":[66],"implementing":[67],"unified":[69],"CNN":[70,92,196],"on":[72,83,174],"FPGA":[73,128,189],"challenges":[75],"the":[78,122,145,180,212],"requirement":[79],"of":[80,142,221],"reconfigurable":[81],"resource":[82,135],"In":[85,176],"this":[86,111,177],"paper,":[87],"new":[89],"approach":[90],"for":[91],"implementation":[94],"is":[95,139,172,203],"proposed":[96],"leverages":[98],"coprocessor":[99,141,152,184,205,233],"mechanism":[100],"partial":[102,192],"reconfiguration":[103,108],"to":[104],"realize":[105],"dynamic":[107],"online.":[109],"By":[110],"way,":[112],"each":[113,195,216],"model":[115],"can":[116,124,133,147,155,185,214],"unique":[119],"be":[125,186],"loaded":[126,187],"into":[127,188],"online":[129,190],"when":[130],"used":[131],"that":[132,154,162,211],"reduce":[134,156],"requirement.":[136],"Because":[137],"host":[143],"CPU,":[144],"interface":[153],"communication":[157],"latency.":[158],"A":[159],"prototype":[160,178],"system":[161],"includes":[163],"an":[164,169],"ARM1136":[165],"softcore":[166],"microprocessor":[167],"AlexNet":[170],"implemented":[173],"system,":[179],"reconfigure":[193],"operation":[197],"conv2d,":[200],"max":[201],"pool":[202],"instruction.":[206],"experimental":[208],"results":[209],"show":[210],"recognize":[215],"picture":[217],"from":[218],"MINIST":[219],"database":[220],"handwritten":[222],"digits":[223],"achieve":[225],"1.85x":[226],"speedup":[227],"compared":[228],"interface.":[234]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}