{"id":"https://openalex.org/W4360605374","doi":"https://doi.org/10.1109/isscc42615.2023.10067774","title":"A 28nm 11.2TOPS/W Hardware-Utilization-Aware Neural-Network Accelerator with Dynamic Dataflow","display_name":"A 28nm 11.2TOPS/W Hardware-Utilization-Aware Neural-Network Accelerator with Dynamic Dataflow","publication_year":2023,"publication_date":"2023-02-19","ids":{"openalex":"https://openalex.org/W4360605374","doi":"https://doi.org/10.1109/isscc42615.2023.10067774"},"language":"en","primary_location":{"id":"doi:10.1109/isscc42615.2023.10067774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc42615.2023.10067774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Solid- State Circuits Conference (ISSCC)","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/A5024690439","display_name":"Cheng-Yan Du","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Yan Du","raw_affiliation_strings":["National Taiwan University,Taipei,Taiwan","National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034854856","display_name":"Chieh-Fu Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129657","display_name":"Delta Electronics (Taiwan)","ror":"https://ror.org/03acb7p04","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210129657"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chieh-Fu Tsai","raw_affiliation_strings":["Delta Electronics,Taipei,Taiwan","Delta Electronics, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delta Electronics,Taipei,Taiwan","institution_ids":["https://openalex.org/I4210129657"]},{"raw_affiliation_string":"Delta Electronics, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210129657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041041981","display_name":"Wen-Ching Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120917","display_name":"Taiwan Semiconductor Manufacturing Company (Taiwan)","ror":"https://ror.org/02wx79d08","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210120917"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Ching Chen","raw_affiliation_strings":["Taiwan Semiconductor Research Institute,Hsinchu,Taiwan","Taiwan Semiconductor Research Institute, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiwan Semiconductor Research Institute,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I4210120917"]},{"raw_affiliation_string":"Taiwan Semiconductor Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210120917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041221935","display_name":"Liang-Yi Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120917","display_name":"Taiwan Semiconductor Manufacturing Company (Taiwan)","ror":"https://ror.org/02wx79d08","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210120917"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liang-Yi Lin","raw_affiliation_strings":["Taiwan Semiconductor Research Institute,Hsinchu,Taiwan","Taiwan Semiconductor Research Institute, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiwan Semiconductor Research Institute,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I4210120917"]},{"raw_affiliation_string":"Taiwan Semiconductor Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210120917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022084541","display_name":"Nian-Shyang Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120917","display_name":"Taiwan Semiconductor Manufacturing Company (Taiwan)","ror":"https://ror.org/02wx79d08","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210120917"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Nian-Shyang Chang","raw_affiliation_strings":["Taiwan Semiconductor Research Institute,Hsinchu,Taiwan","Taiwan Semiconductor Research Institute, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiwan Semiconductor Research Institute,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I4210120917"]},{"raw_affiliation_string":"Taiwan Semiconductor Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210120917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744093","display_name":"Chun\u2010Pin Lin","orcid":"https://orcid.org/0000-0002-3498-1113"},"institutions":[{"id":"https://openalex.org/I4210120917","display_name":"Taiwan Semiconductor Manufacturing Company (Taiwan)","ror":"https://ror.org/02wx79d08","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210120917"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Pin Lin","raw_affiliation_strings":["Taiwan Semiconductor Research Institute,Hsinchu,Taiwan","Taiwan Semiconductor Research Institute, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiwan Semiconductor Research Institute,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I4210120917"]},{"raw_affiliation_string":"Taiwan Semiconductor Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210120917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080379943","display_name":"Chi\u2010Shi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120917","display_name":"Taiwan Semiconductor Manufacturing Company (Taiwan)","ror":"https://ror.org/02wx79d08","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210120917"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Shi Chen","raw_affiliation_strings":["Taiwan Semiconductor Research Institute,Hsinchu,Taiwan","Taiwan Semiconductor Research Institute, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiwan Semiconductor Research Institute,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I4210120917"]},{"raw_affiliation_string":"Taiwan Semiconductor Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210120917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101750729","display_name":"Chia\u2010Hsiang Yang","orcid":"https://orcid.org/0000-0003-1163-321X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hsiang Yang","raw_affiliation_strings":["National Taiwan University,Taipei,Taiwan","National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6791,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.94637692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.8427219390869141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7762101888656616},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6334345936775208},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5799527168273926},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5585047602653503},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4871320426464081},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.46970030665397644},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4639437198638916},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.45921942591667175},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.45558980107307434},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.43287280201911926},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4106348752975464},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32614338397979736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28790798783302307}],"concepts":[{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.8427219390869141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7762101888656616},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6334345936775208},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5799527168273926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5585047602653503},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4871320426464081},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.46970030665397644},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4639437198638916},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.45921942591667175},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.45558980107307434},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.43287280201911926},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4106348752975464},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32614338397979736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28790798783302307},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isscc42615.2023.10067774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc42615.2023.10067774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Solid- State Circuits Conference (ISSCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W3015391117","https://openalex.org/W3017521908","https://openalex.org/W3133635270","https://openalex.org/W3183954477","https://openalex.org/W4220686330"],"related_works":["https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W3167919718","https://openalex.org/W4239447582","https://openalex.org/W2171015181","https://openalex.org/W4225271228","https://openalex.org/W1484403103","https://openalex.org/W2807127337","https://openalex.org/W1998888015","https://openalex.org/W1591308946"],"abstract_inverted_index":{"With":[0],"the":[1,25,31,70,77,80,91,95,102,115,126,134,139,151,190,199],"rapid":[2],"evolution":[3],"of":[4,192],"AI":[5],"technology,":[6],"various":[7,65],"neural":[8,33,183],"network":[9,42,66,184],"structures":[10],"have":[11,49],"been":[12,50,148],"developed":[13],"for":[14,64,101,129,171],"diverse":[15],"applications.":[16],"As":[17,143],"a":[18,181],"typical":[19],"ease,":[20],"Fig.":[21],"22.4.1":[22],"shows":[23],"that":[24],"convolution":[26,145],"(Conv)":[27],"layer":[28],"used":[29],"in":[30,114],"convolutional":[32],"networks":[34,213],"(CNNs)":[35],"features":[36,136],"distinct":[37],"shapes":[38],"and":[39],"types.":[40],"Neural":[41],"accelerators":[43],"with":[44],"high":[45],"peak":[46],"energy":[47,72,221],"efficiency":[48,73,222],"demonstrated":[51],"[1\u20134].":[52,226],"However,":[53],"they":[54],"usually":[55],"suffer":[56],"decreased":[57],"hardware":[58,88],"(mainly":[59],"multiply-accumulate":[60],"(MAC)":[61],"units)":[62],"utilization":[63,97,113,127,155,170,210],"structures,":[67],"which":[68,186],"reduces":[69],"attainable":[71,220],"accordingly.":[74],"To":[75,173],"improve":[76],"MAC":[78,96,112,154,200,209],"utilization,":[79],"Nvidia":[81],"deep":[82],"learning":[83],"accelerator":[84],"(NVDLA)":[85],"[5]":[86],"applies":[87],"parallelism":[89,193],"along":[90,194],"channel":[92],"direction,":[93],"but":[94,138],"is":[98,122,141],"still":[99],"low":[100,153],"shallow":[103,130],"layers.":[104],"According":[105],"to":[106,124,158,197],"our":[107],"experiments,":[108],"NVDLA":[109,166],"achieves":[110,168,204],"23%":[111],"worst":[116],"case.":[117],"A":[118],"Scatter-Gather":[119],"scheme":[120],"[4]":[121],"utilized":[123],"mitigate":[125],"drop":[128],"layers":[131],"by":[132],"rearranging":[133],"input":[135],"(IF),":[137],"improvement":[140],"limited.":[142],"depthwise":[144],"(Dwcv)":[146],"has":[147],"widely":[149],"used,":[150],"accompanying":[152],"also":[156],"needs":[157],"be":[159],"considered.":[160],"Taking":[161],"MobileNetV2":[162],"as":[163],"an":[164],"example,":[165],"only":[167],"0.4%":[169],"Dwcv.":[172],"address":[174],"these":[175],"critical":[176],"issues,":[177],"this":[178],"work":[179],"presents":[180],"utilization-aware":[182],"accelerator,":[185],"can":[187],"dynamically":[188],"change":[189],"level":[191],"multiple":[195],"dimensions":[196],"maximize":[198],"utilization.":[201],"The":[202],"chip":[203],"<tex":[205,216],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[206,217],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$&gt;":[207],"97.3{\\%}$</tex>":[208],"on":[211],"benchmark":[212],"while":[214],"delivering":[215],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$4.7\\times$</tex>":[218],"higher":[219],"than":[223],"state-of-the-art":[224],"designs":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}