{"id":"https://openalex.org/W4308731133","doi":"https://doi.org/10.1145/3570926","title":"GANDSE: Generative Adversarial Network-based Design Space Exploration for Neural Network Accelerator Design","display_name":"GANDSE: Generative Adversarial Network-based Design Space Exploration for Neural Network Accelerator Design","publication_year":2022,"publication_date":"2022-11-09","ids":{"openalex":"https://openalex.org/W4308731133","doi":"https://doi.org/10.1145/3570926"},"language":"en","primary_location":{"id":"doi:10.1145/3570926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570926","pdf_url":null,"source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic Systems","raw_type":"journal-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/A5056805627","display_name":"Lang Feng","orcid":"https://orcid.org/0000-0001-9943-0550"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lang Feng","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101530396","display_name":"Wenjian Liu","orcid":"https://orcid.org/0000-0002-3136-3416"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjian Liu","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058156841","display_name":"Chuliang Guo","orcid":"https://orcid.org/0000-0001-7403-0163"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuliang Guo","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046105921","display_name":"Ke Tang","orcid":"https://orcid.org/0000-0001-6461-3314"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Tang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054211420","display_name":"Cheng Zhuo","orcid":"https://orcid.org/0000-0002-2610-7522"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhuo","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696999","display_name":"Zhongfeng Wang","orcid":"https://orcid.org/0000-0002-7227-4786"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongfeng Wang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5056805627"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.6404,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66809273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"3","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9970999956130981,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9948999881744385,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9947999715805054,"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":0.8387159109115601},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6165839433670044},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.6153876781463623},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5927144885063171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.531679093837738},{"id":"https://openalex.org/keywords/nasa-deep-space-network","display_name":"NASA Deep Space Network","score":0.49407652020454407},{"id":"https://openalex.org/keywords/space-exploration","display_name":"Space exploration","score":0.46114760637283325},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.46064168214797974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4433499872684479},{"id":"https://openalex.org/keywords/electronic-design-automation","display_name":"Electronic design automation","score":0.4357716143131256},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3594041168689728},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2525283694267273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8387159109115601},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6165839433670044},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.6153876781463623},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5927144885063171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531679093837738},{"id":"https://openalex.org/C187107819","wikidata":"https://www.wikidata.org/wiki/Q835696","display_name":"NASA Deep Space Network","level":3,"score":0.49407652020454407},{"id":"https://openalex.org/C104060986","wikidata":"https://www.wikidata.org/wiki/Q180046","display_name":"Space exploration","level":2,"score":0.46114760637283325},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.46064168214797974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4433499872684479},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.4357716143131256},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3594041168689728},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2525283694267273},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C29829512","wikidata":"https://www.wikidata.org/wiki/Q40218","display_name":"Spacecraft","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570926","pdf_url":null,"source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2404916993","display_name":null,"funder_award_id":"62204111, 62034007, and 62141404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G558768867","display_name":null,"funder_award_id":"JSSCBS20210003","funder_id":"https://openalex.org/F4320331107","funder_display_name":"Shuangchuang Program of Jiangsu Province"},{"id":"https://openalex.org/G7867289217","display_name":null,"funder_award_id":"2018YFE0126300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320331107","display_name":"Shuangchuang Program of Jiangsu Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1530262073","https://openalex.org/W1667652561","https://openalex.org/W2289252105","https://openalex.org/W2516918313","https://openalex.org/W2522548197","https://openalex.org/W2792503273","https://openalex.org/W2950094539","https://openalex.org/W2970971581","https://openalex.org/W2975468520","https://openalex.org/W3000140877","https://openalex.org/W3082569543","https://openalex.org/W3083104827","https://openalex.org/W3090389586","https://openalex.org/W3096831136","https://openalex.org/W3100813974","https://openalex.org/W3102790199","https://openalex.org/W3206774775","https://openalex.org/W3213229701","https://openalex.org/W4242577057","https://openalex.org/W4293026115","https://openalex.org/W4295312788","https://openalex.org/W6730762871","https://openalex.org/W6796432132"],"related_works":["https://openalex.org/W1612238190","https://openalex.org/W3044323540","https://openalex.org/W1973216439","https://openalex.org/W2121851790","https://openalex.org/W791577771","https://openalex.org/W4375854354","https://openalex.org/W4386111849","https://openalex.org/W2625873088","https://openalex.org/W4386173006","https://openalex.org/W2096563656"],"abstract_inverted_index":{"With":[0],"the":[1,6,18,27,34,43,55,61,68,76,81,101,110,114,119,123,129,162,175,199],"popularity":[2],"of":[3,10,66,113,164],"deep":[4,11,28,56,213],"learning,":[5],"hardware":[7,39,69],"implementation":[8],"platform":[9],"learning":[12,29,57],"has":[13],"received":[14],"increasing":[15,111,120],"interest.":[16],"Unlike":[17],"general":[19],"purpose":[20],"devices,":[21],"e.g.,":[22],"CPU":[23],"or":[24],"GPU,":[25],"where":[26,91,159],"algorithms":[30,44,58,95,134],"are":[31,71,96,135],"executed":[32],"at":[33],"software":[35],"level,":[36],"neural":[37,86,115,151],"network":[38,87,116,152,178],"accelerators":[40,70,88,117],"directly":[41],"execute":[42],"to":[45,98,122,140,180,197],"achieve":[46],"higher":[47],"energy":[48],"efficiency":[49],"and":[50,64,168,212],"performance":[51],"improvements.":[52],"However,":[53],"as":[54],"evolve":[59],"frequently,":[60],"engineering":[62],"effort":[63],"cost":[65],"designing":[67],"greatly":[72],"increased.":[73],"To":[74],"improve":[75],"design":[77,83,92,104,107,124,131,154,165,188],"quality":[78],"while":[79],"saving":[80],"cost,":[82],"automation":[84,155],"for":[85,185],"was":[89],"proposed,":[90],"space":[93,132,166],"exploration":[94,133,184],"used":[97],"automatically":[99],"search":[100],"optimized":[102,143,183,201],"accelerator":[103,153],"within":[105],"a":[106,127,150,170],"space.":[108,125,189],"Nevertheless,":[109],"complexity":[112],"brings":[118],"dimensions":[121],"As":[126],"result,":[128],"previous":[130],"no":[136],"longer":[137],"effective":[138],"enough":[139],"find":[141,198],"an":[142,182],"design.":[144],"In":[145],"this":[146],"work,":[147],"we":[148,160],"propose":[149,169],"framework":[156],"named":[157],"GANDSE,":[158],"rethink":[161],"problem":[163],"exploration,":[167],"novel":[171],"approach":[172],"based":[173],"on":[174],"generative":[176],"adversarial":[177],"(GAN)":[179],"support":[181],"high-dimension":[186],"large":[187],"The":[190],"experiments":[191],"show":[192],"that":[193],"GANDSE":[194],"is":[195],"able":[196],"more":[200],"designs":[202],"in":[203],"negligible":[204],"time":[205],"compared":[206],"with":[207],"approaches":[208],"including":[209],"multilayer":[210],"perceptron":[211],"reinforcement":[214],"learning.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
