{"id":"https://openalex.org/W3092020069","doi":"https://doi.org/10.1109/dac18072.2020.9218749","title":"EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions","display_name":"EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3092020069","doi":"https://doi.org/10.1109/dac18072.2020.9218749","mag":"3092020069"},"language":"en","primary_location":{"id":"doi:10.1109/dac18072.2020.9218749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac18072.2020.9218749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 57th ACM/IEEE Design Automation Conference (DAC)","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/A5100341177","display_name":"Yuhong Li","orcid":"https://orcid.org/0009-0009-9185-7133"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuhong Li","raw_affiliation_strings":["Electrical and Computer Engineering, University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053022655","display_name":"Cong Hao","orcid":"https://orcid.org/0000-0002-2541-8767"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Hao","raw_affiliation_strings":["Electrical and Computer Engineering, University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330729","display_name":"Xiaofan Zhang","orcid":"https://orcid.org/0000-0001-5081-3972"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofan Zhang","raw_affiliation_strings":["Electrical and Computer Engineering, University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082291284","display_name":"Xinheng Liu","orcid":"https://orcid.org/0000-0003-4785-1411"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinheng Liu","raw_affiliation_strings":["Electrical and Computer Engineering, University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394256","display_name":"Yao Chen","orcid":"https://orcid.org/0000-0002-5798-2282"},"institutions":[{"id":"https://openalex.org/I4210108443","display_name":"Advanced Digital Sciences Center","ror":"https://ror.org/01xaqx887","country_code":"SG","type":"facility","lineage":["https://openalex.org/I4210108443"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yao Chen","raw_affiliation_strings":["Advanced Digital Sciences Center, Singapore"],"affiliations":[{"raw_affiliation_string":"Advanced Digital Sciences Center, Singapore","institution_ids":["https://openalex.org/I4210108443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030156276","display_name":"Jinjun Xiong","orcid":"https://orcid.org/0000-0002-2620-4859"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinjun Xiong","raw_affiliation_strings":["IBM T. J. Watson Research Center"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040404999","display_name":"Wen\u2010mei Hwu","orcid":"https://orcid.org/0000-0003-2532-5349"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen-mei Hwu","raw_affiliation_strings":["Electrical and Computer Engineering, University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056321228","display_name":"Deming Chen","orcid":"https://orcid.org/0000-0002-3016-0270"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deming Chen","raw_affiliation_strings":["Electrical and Computer Engineering, University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100341177"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":5.7986,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.97091187,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7886970043182373},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.708721935749054},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.6317460536956787},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.6078914403915405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5371416807174683},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5201447606086731},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.5166259407997131},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4892582893371582},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.47295042872428894},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.41727566719055176},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.36364930868148804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32592523097991943},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2535668611526489},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10272032022476196}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7886970043182373},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.708721935749054},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.6317460536956787},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.6078914403915405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5371416807174683},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5201447606086731},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.5166259407997131},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4892582893371582},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.47295042872428894},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.41727566719055176},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.36364930868148804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32592523097991943},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2535668611526489},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10272032022476196},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac18072.2020.9218749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac18072.2020.9218749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 57th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2048922416","https://openalex.org/W2276486856","https://openalex.org/W2563587242","https://openalex.org/W2719597717","https://openalex.org/W2762910930","https://openalex.org/W2810075754","https://openalex.org/W2883780447","https://openalex.org/W2899915146","https://openalex.org/W2911884654","https://openalex.org/W2917087921","https://openalex.org/W2951104886","https://openalex.org/W2952857977","https://openalex.org/W2962856739","https://openalex.org/W2963163009","https://openalex.org/W2963367920","https://openalex.org/W2963446712","https://openalex.org/W2963918968","https://openalex.org/W2964081807","https://openalex.org/W2964259004","https://openalex.org/W2965658867","https://openalex.org/W2967733054","https://openalex.org/W2974412363","https://openalex.org/W2997442807","https://openalex.org/W2997958863","https://openalex.org/W3000140877","https://openalex.org/W3030728803","https://openalex.org/W3037844041","https://openalex.org/W4247198796","https://openalex.org/W4288083644","https://openalex.org/W6752515464","https://openalex.org/W6756887525","https://openalex.org/W6761209512","https://openalex.org/W6767525790"],"related_works":["https://openalex.org/W4282568311","https://openalex.org/W4313484792","https://openalex.org/W2951473296","https://openalex.org/W2883928845","https://openalex.org/W4288420200","https://openalex.org/W4285346947","https://openalex.org/W3145095675","https://openalex.org/W4365793791","https://openalex.org/W3134072570","https://openalex.org/W2171195786"],"abstract_inverted_index":{"High":[0],"quality":[1],"AI":[2,8],"solutions":[3],"require":[4],"joint":[5],"optimization":[6],"of":[7,107],"algorithms":[9],"and":[10,33,48,56,61,121,127,177],"their":[11],"hardware":[12,49,62],"implementations.":[13],"In":[14,100],"this":[15],"work,":[16],"we":[17,103],"are":[18],"the":[19,40,72,86,101,105,139,170,187],"first":[20],"to":[21,71,83],"propose":[22],"a":[23],"fully":[24],"simultaneous,":[25],"Efficient":[26],"Differentiable":[27],"DNN":[28,45,142,163,179],"(deep":[29],"neural":[30,146],"network)":[31],"architecture":[32,147],"implementation":[34,50,63,120],"co-search":[35,41],"(EDD)":[36],"methodology.":[37],"We":[38],"formulate":[39],"problem":[42],"by":[43,111,133,145],"fusing":[44],"search":[46,87,148],"variables":[47,51],"into":[52],"one":[53],"solution":[54,172,189],"space,":[55],"maximize":[57],"both":[58,125],"algorithm":[59,79],"accuracy":[60,137],"quality.":[64],"The":[65,89],"formulation":[66,90],"is":[67,91,166],"differentiable":[68],"with":[69,97,124,154],"respect":[70],"fused":[73],"variables,":[74],"so":[75],"that":[76],"gradient":[77],"descent":[78],"can":[80],"be":[81],"applied":[82],"greatly":[84],"reduce":[85],"time.":[88],"also":[92],"applicable":[93],"for":[94,113],"various":[95],"devices":[96],"different":[98],"objectives.":[99],"experiments,":[102],"demonstrate":[104],"effectiveness":[106],"our":[108,178],"EDD":[109,134],"methodology":[110],"searching":[112],"three":[114],"representative":[115],"DNNs,":[116],"targeting":[117,164,180],"low-latency":[118],"GPU":[119,165],"FPGA":[122,181],"implementations":[123],"recursive":[126],"pipelined":[128],"architectures.":[129],"Each":[130],"model":[131],"produced":[132],"achieves":[135],"similar":[136],"as":[138],"best":[140],"existing":[141],"models":[143],"searched":[144],"(NAS)":[149],"methods":[150],"on":[151],"ImageNet,":[152],"but":[153],"superior":[155],"performance":[156],"obtained":[157],"within":[158],"12":[159],"GPU-hour":[160],"searches.":[161],"Our":[162],"1.40\u00d7":[167],"faster":[168],"than":[169,186],"state-of-the-art":[171,188],"reported":[173,190],"in":[174,191],"Proxyless":[175],"[1],":[176],"delivers":[182],"1.45\u00d7":[183],"higher":[184],"throughput":[185],"DNNBuilder":[192],"[2].":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
