{"id":"https://openalex.org/W2132178096","doi":"https://doi.org/10.1145/1120725.1120881","title":"Fast and effective gate-sizing with multiple-Vt assignment using generalized Lagrangian Relaxation","display_name":"Fast and effective gate-sizing with multiple-Vt assignment using generalized Lagrangian Relaxation","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2132178096","doi":"https://doi.org/10.1145/1120725.1120881","mag":"2132178096"},"language":"en","primary_location":{"id":"doi:10.1145/1120725.1120881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1120725.1120881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 conference on Asia South Pacific design automation  - ASP-DAC '05","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/A5027592979","display_name":"Hsinwei Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I1304256225","display_name":"University of Wisconsin System","ror":"https://ror.org/03ydkyb10","country_code":"US","type":"education","lineage":["https://openalex.org/I1304256225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hsinwei Chou","raw_affiliation_strings":["Dept. of Electr. & Comput Eng., Wisconsin Univ., Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput Eng., Wisconsin Univ., Madison, WI, USA","institution_ids":["https://openalex.org/I1304256225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370103","display_name":"Yuhao Wang","orcid":"https://orcid.org/0000-0002-8445-0361"},"institutions":[{"id":"https://openalex.org/I4210138128","display_name":"Referentia Systems (United States)","ror":"https://ror.org/043bzv808","country_code":"US","type":"company","lineage":["https://openalex.org/I4210138128"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Hao Wang","raw_affiliation_strings":["Incentia Design Systems, Inc.#TAB#"],"affiliations":[{"raw_affiliation_string":"Incentia Design Systems, Inc.#TAB#","institution_ids":["https://openalex.org/I4210138128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110214866","display_name":"Charlie Chung\u2010Ping Chen","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":"Charlie Chung-Ping Chen","raw_affiliation_strings":["National Taiwan University > > > >  >  >"],"affiliations":[{"raw_affiliation_string":"National Taiwan University > > > >  >  >","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027592979"],"corresponding_institution_ids":["https://openalex.org/I1304256225"],"apc_list":null,"apc_paid":null,"fwci":3.2011,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.91908581,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"381","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","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/T10363","display_name":"Low-power high-performance VLSI design","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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9990000128746033,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9988999962806702,"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/lagrangian-relaxation","display_name":"Lagrangian relaxation","score":0.8920919895172119},{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.7533222436904907},{"id":"https://openalex.org/keywords/lagrangian","display_name":"Lagrangian","score":0.6920340061187744},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.5780881643295288},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.469643771648407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46321943402290344},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.29708224534988403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26016804575920105},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07636532187461853}],"concepts":[{"id":"https://openalex.org/C91765299","wikidata":"https://www.wikidata.org/wiki/Q3424292","display_name":"Lagrangian relaxation","level":2,"score":0.8920919895172119},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.7533222436904907},{"id":"https://openalex.org/C53469067","wikidata":"https://www.wikidata.org/wiki/Q505735","display_name":"Lagrangian","level":2,"score":0.6920340061187744},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.5780881643295288},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.469643771648407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46321943402290344},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.29708224534988403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26016804575920105},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07636532187461853},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1120725.1120881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1120725.1120881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 conference on Asia South Pacific design automation  - ASP-DAC '05","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W97189687","https://openalex.org/W1605013015","https://openalex.org/W1970101292","https://openalex.org/W1986056825","https://openalex.org/W1989716769","https://openalex.org/W2000359198","https://openalex.org/W2026078757","https://openalex.org/W2095613305","https://openalex.org/W2097466426","https://openalex.org/W2122421989","https://openalex.org/W2131729827","https://openalex.org/W2132850565","https://openalex.org/W2139344695","https://openalex.org/W2141907973","https://openalex.org/W2148589597","https://openalex.org/W2152391630","https://openalex.org/W2154214383","https://openalex.org/W2154270708","https://openalex.org/W2171757373","https://openalex.org/W2787523326","https://openalex.org/W3029645440"],"related_works":["https://openalex.org/W3149469165","https://openalex.org/W4313484281","https://openalex.org/W2363143319","https://openalex.org/W4383905034","https://openalex.org/W2127198104","https://openalex.org/W1984467068","https://openalex.org/W3126007678","https://openalex.org/W2534690099","https://openalex.org/W2170308554","https://openalex.org/W2950615969"],"abstract_inverted_index":{"Simultaneous":[0],"gate-sizing":[1,31],"with":[2,59],"multiple":[3],"V/sub":[4],"t/":[5,34],"assignment":[6,35],"for":[7],"delay":[8],"and":[9,32,51,54,63],"power":[10],"optimization":[11,75],"is":[12],"a":[13,29],"complicated":[14],"task":[15],"in":[16,66],"modern":[17],"custom":[18],"designs.":[19],"In":[20],"this":[21],"work,":[22],"we":[23],"make":[24],"the":[25],"key":[26],"contribution":[27],"of":[28],"novel":[30],"multi-V/sub":[33],"technique":[36,47],"based":[37],"on":[38],"generalized":[39],"Lagrangian":[40],"relaxation.":[41],"Experimental":[42],"results":[43],"show":[44],"that":[45],"our":[46],"exhibits":[48],"linear":[49],"runtime":[50],"memory":[52],"usage,":[53],"can":[55],"effectively":[56],"tune":[57],"circuits":[58],"over":[60],"15,000":[61],"variables":[62],"8,000":[64],"constraints":[65],"under":[67],"8":[68],"minutes":[69],"(250/spl":[70],"times/":[71],"faster":[72],"than":[73],"state-of-the-art":[74],"solvers).":[76]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
