{"id":"https://openalex.org/W4386867448","doi":"https://doi.org/10.1109/islped58423.2023.10244484","title":"Multi-Source Transfer Learning for Design Technology Co-Optimization","display_name":"Multi-Source Transfer Learning for Design Technology Co-Optimization","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W4386867448","doi":"https://doi.org/10.1109/islped58423.2023.10244484"},"language":"en","primary_location":{"id":"doi:10.1109/islped58423.2023.10244484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/islped58423.2023.10244484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)","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/A5016696630","display_name":"Jakang Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jakang Lee","raw_affiliation_strings":["Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,South Korea","Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101854185","display_name":"Jaeseung Lee","orcid":"https://orcid.org/0009-0008-4092-7499"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaeseung Lee","raw_affiliation_strings":["Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,South Korea","Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062222125","display_name":"Seonghyeon Park","orcid":"https://orcid.org/0009-0001-6586-2248"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seonghyeon Park","raw_affiliation_strings":["Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,South Korea","Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044543389","display_name":"Seokhyeong Kang","orcid":"https://orcid.org/0000-0003-3015-1806"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokhyeong Kang","raw_affiliation_strings":["Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,South Korea","Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Department of Electrical Engineering,Pohang,South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016696630"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":0.8058,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76474781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9929999709129333,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9840999841690063,"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/bayesian-optimization","display_name":"Bayesian optimization","score":0.772009551525116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380711793899536},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.49687936902046204},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4410875141620636},{"id":"https://openalex.org/keywords/optimal-design","display_name":"Optimal design","score":0.4393637180328369},{"id":"https://openalex.org/keywords/power-optimization","display_name":"Power optimization","score":0.42462122440338135},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4126931130886078},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3914116322994232},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3493920564651489},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19144323468208313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14498290419578552},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.10055536031723022}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.772009551525116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380711793899536},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.49687936902046204},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4410875141620636},{"id":"https://openalex.org/C186394612","wikidata":"https://www.wikidata.org/wiki/Q7098942","display_name":"Optimal design","level":2,"score":0.4393637180328369},{"id":"https://openalex.org/C168292644","wikidata":"https://www.wikidata.org/wiki/Q10860336","display_name":"Power optimization","level":4,"score":0.42462122440338135},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4126931130886078},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3914116322994232},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3493920564651489},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19144323468208313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14498290419578552},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.10055536031723022},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/islped58423.2023.10244484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/islped58423.2023.10244484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4299379580","display_name":null,"funder_award_id":"RS-2023-00222085","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2006111436","https://openalex.org/W2346205343","https://openalex.org/W2401935718","https://openalex.org/W2742479298","https://openalex.org/W2810911330","https://openalex.org/W3042858012","https://openalex.org/W3139405926","https://openalex.org/W3143696222","https://openalex.org/W3175784602","https://openalex.org/W4226441354","https://openalex.org/W4280503569","https://openalex.org/W4283270302","https://openalex.org/W4285676457","https://openalex.org/W4293023056","https://openalex.org/W4293261828","https://openalex.org/W6631190155","https://openalex.org/W6797088443","https://openalex.org/W6811030404","https://openalex.org/W6839353959"],"related_works":["https://openalex.org/W3104422856","https://openalex.org/W4206864338","https://openalex.org/W4287867179","https://openalex.org/W3134690064","https://openalex.org/W4210726438","https://openalex.org/W4287752080","https://openalex.org/W3118984993","https://openalex.org/W3037706579","https://openalex.org/W4401389295","https://openalex.org/W3157580548"],"abstract_inverted_index":{"In":[0,38,76],"advanced":[1],"technology":[2,19,43,143],"nodes,":[3],"pitch":[4],"scaling":[5],"have":[6],"not":[7],"kept":[8],"up":[9],"with":[10],"the":[11,17,56,115,139],"Moore's":[12],"Law.":[13],"To":[14],"continue":[15],"progression,":[16],"design":[18,41,58,72],"co-optimization":[20],"(DTCO)":[21],"has":[22],"been":[23],"proposed.":[24],"However,":[25],"implementing":[26],"DTCO":[27,63],"requires":[28],"significant":[29],"time":[30],"cost":[31],"and":[32,42,99,121,125,128,130,134],"resources":[33],"due":[34],"to":[35,138],"iterative":[36],"trials.":[37],"addition,":[39,77],"optimal":[40],"option":[44],"depend":[45],"on":[46,66,112],"each":[47],"design,":[48],"thus":[49],"it":[50],"should":[51],"start":[52],"from":[53],"scratch":[54],"whenever":[55],"target":[57],"changes.":[59],"We":[60],"present":[61],"a":[62,81],"framework":[64,79],"based":[65],"Bayesian":[67],"optimization":[68,90],"that":[69,87],"efficiently":[70],"explores":[71],"feedback":[73],"for":[74,92],"optimization.":[75],"our":[78],"incorporates":[80],"multi-source":[82],"transfer":[83,107],"Gaussian":[84,108],"process":[85],"(MTGP)":[86],"ensures":[88],"robust":[89],"even":[91],"unseen":[93],"designs.":[94],"MTGP":[95],"significantly":[96],"improves":[97],"prediction":[98],"generalization":[100],"performance":[101],"by":[102,123,132],"integrating":[103],"multiple":[104],"single":[105],"source":[106],"processes.":[109],"Our":[110],"framework,":[111],"average,":[113],"reduced":[114],"mean":[116],"absolute":[117],"error":[118],"of":[119],"power":[120,129],"area":[122,131],"47.3%":[124],"24.1%,":[126],"respectively,":[127,136],"37.3%":[133],"19.9%,":[135],"compared":[137],"reference,":[140],"in":[141],"7nm":[142],"nodes.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
