{"id":"https://openalex.org/W2147593843","doi":"https://doi.org/10.1145/1393921.1393937","title":"A parallel and randomized algorithm for large-scale discrete dual-Vt assignment and continuous gate sizing","display_name":"A parallel and randomized algorithm for large-scale discrete dual-Vt assignment and continuous gate sizing","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2147593843","doi":"https://doi.org/10.1145/1393921.1393937","mag":"2147593843"},"language":"en","primary_location":{"id":"doi:10.1145/1393921.1393937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1393921.1393937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceeding of the thirteenth international symposium on Low power electronics and design - ISLPED '08","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5090688519","display_name":"Tai-Hsuan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tai-Hsuan Wu","raw_affiliation_strings":["University of Wisconsin, Madison, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022189337","display_name":"Lin Xie","orcid":"https://orcid.org/0000-0002-8850-6764"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Xie","raw_affiliation_strings":["University of Wisconsin, Madison, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072204999","display_name":"Azadeh Davoodi","orcid":"https://orcid.org/0000-0001-5213-2556"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azadeh Davoodi","raw_affiliation_strings":["University of Wisconsin, Madison, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"45"},"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":0.9997000098228455,"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"}},"topics":[{"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9995999932289124,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6408542990684509},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5488293170928955},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5412300825119019},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5179752111434937},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47354215383529663},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43659836053848267},{"id":"https://openalex.org/keywords/randomized-algorithm","display_name":"Randomized algorithm","score":0.42805129289627075},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.41798079013824463},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3340626657009125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21976187825202942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6408542990684509},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5488293170928955},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5412300825119019},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5179752111434937},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47354215383529663},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43659836053848267},{"id":"https://openalex.org/C128669082","wikidata":"https://www.wikidata.org/wiki/Q583461","display_name":"Randomized algorithm","level":2,"score":0.42805129289627075},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.41798079013824463},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3340626657009125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21976187825202942},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1393921.1393937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1393921.1393937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceeding of the thirteenth international symposium on Low power electronics and design - ISLPED '08","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1578951230","https://openalex.org/W1986056825","https://openalex.org/W1989716769","https://openalex.org/W1991727477","https://openalex.org/W2028141695","https://openalex.org/W2039955317","https://openalex.org/W2044782068","https://openalex.org/W2097749440","https://openalex.org/W2102726266","https://openalex.org/W2112045932","https://openalex.org/W2114344835","https://openalex.org/W2122421989","https://openalex.org/W2123782435","https://openalex.org/W2126900479","https://openalex.org/W2131729827","https://openalex.org/W2132178096","https://openalex.org/W2135250302","https://openalex.org/W2136403269","https://openalex.org/W2139344695","https://openalex.org/W2141907973","https://openalex.org/W2152391630","https://openalex.org/W2161292693","https://openalex.org/W2163159620","https://openalex.org/W2167786985"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3161430837","https://openalex.org/W1604898313","https://openalex.org/W4233815414","https://openalex.org/W2117014006","https://openalex.org/W2140418760","https://openalex.org/W2140233454","https://openalex.org/W2034393996","https://openalex.org/W2071939885","https://openalex.org/W2164287667"],"abstract_inverted_index":{"We":[0,44,78,88,120],"propose":[1],"a":[2,47,63,90,164,183],"parallel":[3],"and":[4,55,72,86,132,168],"randomized":[5],"algorithm":[6,49,71,82,148],"to":[7,39,61,83,95,125,133,156],"solve":[8,40],"the":[9,52,67,70,73,98,106,116,135,139,144,150],"problem":[10,35,60],"of":[11,69,75,93,108,118,143,185],"discrete":[12],"dual-Vt":[13],"assignment":[14],"combined":[15],"with":[16],"continuous":[17,165],"gate":[18],"sizing":[19],"which":[20,50,159],"is":[21,36,160,173],"an":[22,157,180],"important":[23],"low":[24],"power":[25,152],"design":[26],"technique":[27],"in":[28,110,129],"high":[29],"performance":[30],"domains.":[31],"This":[32],"combinatorial":[33],"optimization":[34,99,111,136],"particularly":[37],"difficult":[38],"on":[41,138,162,182],"large-sized":[42],"circuits.":[43],"first":[45],"introduce":[46,89],"hybrid":[48],"combines":[51],"existing":[53],"heuristics":[54],"convex":[56,166],"formulations":[57],"for":[58,176,179],"this":[59],"achieve":[62],"better":[64,96],"tradeoff":[65],"between":[66],"runtime":[68],"quality":[74,117],"generated":[76],"solution.":[77,119],"then":[79],"extend":[80],"our":[81],"include":[84],"parallelism":[85,94],"randomization.":[87],"unique":[91],"utilization":[92],"identify":[97],"direction.":[100],"Consequently,":[101],"we":[102],"can":[103],"reduce":[104],"both":[105],"number":[107],"iterations":[109],"as":[112,114],"well":[113],"improve":[115],"further":[121],"use":[122],"random":[123],"sampling":[124],"avoid":[126],"being":[127],"trapped":[128],"local":[130],"minima":[131],"focus":[134],"effort":[137],"more":[140],"\"promising\"":[141],"regions":[142],"solution":[145],"space.":[146],"Our":[147],"improves":[149],"average":[151],"by":[153],"37%":[154],"compared":[155],"approach":[158],"based":[161],"solving":[163],"program":[167],"applying":[169],"discretization.":[170],"Power":[171],"improvement":[172],"over":[174],"50%":[175],"larger":[177],"benchmarks":[178],"implementation":[181],"grid":[184],"9":[186],"computers.":[187]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}