{"id":"https://openalex.org/W3092488979","doi":"https://doi.org/10.1109/dac18072.2020.9218592","title":"An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis","display_name":"An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3092488979","doi":"https://doi.org/10.1109/dac18072.2020.9218592","mag":"3092488979"},"language":"en","primary_location":{"id":"doi:10.1109/dac18072.2020.9218592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac18072.2020.9218592","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":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.14683","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017568991","display_name":"Shuhan Zhang","orcid":"https://orcid.org/0000-0002-3959-8893"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuhan Zhang","raw_affiliation_strings":["State Key Lab of ASIC & System, School of Microelectronics, Fudan University, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of ASIC & System, School of Microelectronics, Fudan University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045464812","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0003-2164-8175"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["State Key Lab of ASIC & System, School of Microelectronics, Fudan University, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of ASIC & System, School of Microelectronics, Fudan University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054960059","display_name":"Dian Zhou","orcid":"https://orcid.org/0000-0002-2648-5232"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dian Zhou","raw_affiliation_strings":["Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, U.S.A","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064213921","display_name":"Xuan Zeng","orcid":"https://orcid.org/0000-0002-8097-4053"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Zeng","raw_affiliation_strings":["State Key Lab of ASIC & System, School of Microelectronics, Fudan University, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of ASIC & System, School of Microelectronics, Fudan University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017568991"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"],"apc_list":null,"apc_paid":null,"fwci":2.5928,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.90309626,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998000264167786,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998000264167786,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9997000098228455,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/asynchronous-communication","display_name":"Asynchronous communication","score":0.7371213436126709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6952638626098633},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5278054475784302},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4890073537826538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2529516816139221},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07733073830604553}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7371213436126709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952638626098633},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5278054475784302},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4890073537826538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2529516816139221},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07733073830604553}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dac18072.2020.9218592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac18072.2020.9218592","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"},{"id":"pmh:oai:arXiv.org:2106.14683","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.14683","pdf_url":"https://arxiv.org/pdf/2106.14683","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.14683","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.14683","pdf_url":"https://arxiv.org/pdf/2106.14683","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1553149778","https://openalex.org/W1595067400","https://openalex.org/W1693986406","https://openalex.org/W1919483352","https://openalex.org/W1964239621","https://openalex.org/W1983571569","https://openalex.org/W1998752433","https://openalex.org/W2028334174","https://openalex.org/W2039522160","https://openalex.org/W2061144551","https://openalex.org/W2065183815","https://openalex.org/W2099679938","https://openalex.org/W2110895713","https://openalex.org/W2118158907","https://openalex.org/W2122919983","https://openalex.org/W2138368455","https://openalex.org/W2144133630","https://openalex.org/W2155811837","https://openalex.org/W2163565880","https://openalex.org/W2192203593","https://openalex.org/W2386578045","https://openalex.org/W2409689189","https://openalex.org/W2612924526","https://openalex.org/W2616619952","https://openalex.org/W2736440494","https://openalex.org/W2769791151","https://openalex.org/W2804987245","https://openalex.org/W2809500545","https://openalex.org/W2900070061","https://openalex.org/W2914931491","https://openalex.org/W2945689147","https://openalex.org/W2952519754","https://openalex.org/W2963110737","https://openalex.org/W2989851762","https://openalex.org/W3100083105","https://openalex.org/W3124229194","https://openalex.org/W4234228486","https://openalex.org/W4235520416","https://openalex.org/W4237422979","https://openalex.org/W4239954986","https://openalex.org/W4247282788","https://openalex.org/W4249230816","https://openalex.org/W4252419006","https://openalex.org/W6633062741","https://openalex.org/W6635427314","https://openalex.org/W6637591494","https://openalex.org/W6681821898","https://openalex.org/W6687482969","https://openalex.org/W6751513613","https://openalex.org/W6764988152","https://openalex.org/W6765435108"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W3106461837","https://openalex.org/W2584231425","https://openalex.org/W2150611273","https://openalex.org/W2390279801","https://openalex.org/W4401858220"],"abstract_inverted_index":{"In":[0,17],"this":[1,18],"paper,":[2],"we":[3,33],"propose":[4],"EasyBO,":[5],"an":[6,48],"Efficient":[7],"ASYn-chronous":[8],"Batch":[9],"Bayesian":[10,67,119],"Optimization":[11],"approach":[12],"for":[13,24,64],"analog":[14],"circuit":[15],"synthesis.":[16],"proposed":[19,73,94],"approach,":[20],"instead":[21],"of":[22,85,107],"waiting":[23],"the":[25,29,35,41,61,77,83,86,101,116,130],"slowest":[26],"simulations":[27],"in":[28],"batch":[30,66,103,118],"to":[31,74,95,125],"finish,":[32],"accelerate":[34],"optimization":[36,108,120,131],"procedure":[37],"by":[38],"asynchronously":[39],"issuing":[40],"next":[42],"query":[43,87],"points":[44],"whenever":[45],"there":[46],"is":[47,72,93],"idle":[49],"worker.":[50],"We":[51],"introduce":[52],"a":[53,90],"new":[54,70],"acquisition":[55],"function":[56],"which":[57],"can":[58,109],"better":[59,75],"explore":[60],"design":[62],"space":[63],"asynchronous":[65,102],"optimization.":[68,104],"A":[69],"strategy":[71],"balance":[76],"exploration":[78],"and":[79,81],"exploitation":[80],"guarantee":[82],"diversity":[84],"points.":[88],"And":[89],"penalization":[91],"scheme":[92],"further":[96,112],"avoid":[97],"redundant":[98],"queries":[99],"during":[100],"The":[105],"efficiency":[106],"thus":[110],"be":[111],"improved.":[113],"Compared":[114],"with":[115],"state-of-the-art":[117],"algorithm,":[121],"EasyBO":[122],"achieves":[123],"up":[124],"7.35\u00d7":[126],"speed-up":[127],"without":[128],"sacrificing":[129],"results.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-10-15T00:00:00"}