{"id":"https://openalex.org/W2110388256","doi":"https://doi.org/10.1145/1146909.1147152","title":"Variability driven gate sizing for binning yield optimization","display_name":"Variability driven gate sizing for binning yield optimization","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2110388256","doi":"https://doi.org/10.1145/1146909.1147152","mag":"2110388256"},"language":"en","primary_location":{"id":"doi:10.1145/1146909.1147152","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1146909.1147152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd annual conference on Design automation - DAC '06","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://drum.lib.umd.edu/bitstreams/abfaca69-f8a6-410c-b53c-d886ce6a7c08/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072204999","display_name":"Azadeh Davoodi","orcid":"https://orcid.org/0000-0001-5213-2556"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azadeh Davoodi","raw_affiliation_strings":["Dept. of Electr. & Comput. Eng., Univ. Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089770783","display_name":"Ankur Srivastava","orcid":"https://orcid.org/0000-0002-5445-904X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankur Srivastava","raw_affiliation_strings":["Dept. of Electr. & Comput. Eng., Univ. Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"959","last_page":"959"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.7899442911148071},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.6500133275985718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.485460102558136},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.4229782223701477},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.334200382232666},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24902790784835815},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.24073255062103271},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22039291262626648},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09916990995407104}],"concepts":[{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.7899442911148071},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.6500133275985718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.485460102558136},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.4229782223701477},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.334200382232666},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24902790784835815},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.24073255062103271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22039291262626648},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09916990995407104},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1146909.1147152","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1146909.1147152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd annual conference on Design automation - DAC '06","raw_type":"proceedings-article"},{"id":"pmh:oai:drum.lib.umd.edu:1903/6582","is_oa":true,"landing_page_url":"http://hdl.handle.net/1903/6582","pdf_url":"https://drum.lib.umd.edu/bitstreams/abfaca69-f8a6-410c-b53c-d886ce6a7c08/download","source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"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":"Technical Report"}],"best_oa_location":{"id":"pmh:oai:drum.lib.umd.edu:1903/6582","is_oa":true,"landing_page_url":"http://hdl.handle.net/1903/6582","pdf_url":"https://drum.lib.umd.edu/bitstreams/abfaca69-f8a6-410c-b53c-d886ce6a7c08/download","source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"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":"Technical Report"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2110388256.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1569550779","https://openalex.org/W1965230003","https://openalex.org/W2055112469","https://openalex.org/W2060393099","https://openalex.org/W2115859316","https://openalex.org/W2117648153","https://openalex.org/W2119125081","https://openalex.org/W2122697226","https://openalex.org/W2125157415","https://openalex.org/W2130512258","https://openalex.org/W2131909792","https://openalex.org/W2132178096","https://openalex.org/W2132554587","https://openalex.org/W2135250302","https://openalex.org/W2135271981","https://openalex.org/W2138916868","https://openalex.org/W2141222031","https://openalex.org/W2141907973","https://openalex.org/W2149602237","https://openalex.org/W2152508001","https://openalex.org/W2154270708","https://openalex.org/W2154941994","https://openalex.org/W2156809047","https://openalex.org/W2156920388","https://openalex.org/W2163262735","https://openalex.org/W2165740397","https://openalex.org/W2167077570","https://openalex.org/W2167253897","https://openalex.org/W2296319761","https://openalex.org/W3143002681","https://openalex.org/W3172772885"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2375311683","https://openalex.org/W2366062860","https://openalex.org/W2373777250","https://openalex.org/W2353956655","https://openalex.org/W2020653254","https://openalex.org/W2352072014","https://openalex.org/W217279133","https://openalex.org/W2393487946"],"abstract_inverted_index":{"Process":[0],"variations":[1],"result":[2],"in":[3,7,159],"a":[4,35,57,138,173,178,186,193,212,216],"considerable":[5],"spread":[6],"the":[8,11,24,42,64,69,74,88,118,123,135,160,204,208],"frequency":[9,26],"of":[10,44,90,143,155,167],"fabricated":[12],"chips.":[13],"In":[14,52],"high":[15],"performance":[16],"applications,":[17],"those":[18],"chips":[19],"that":[20,61,185,202],"fail":[21],"to":[22,41,78,121,137,191],"meet":[23],"nominal":[25],"after":[27],"fabrication":[28,150],"are":[29],"either":[30],"discarded":[31],"or":[32],"sold":[33],"at":[34],"loss":[36],"which":[37],"is":[38,49,114,120],"typically":[39],"proportional":[40],"degree":[43],"timing":[45,103,180],"violation.":[46],"The":[47],"latter":[48],"called":[50],"binning.":[51],"this":[53],"paper":[54],"we":[55,97,183],"present":[56],"gate":[58],"sizing-based":[59],"algorithm":[60],"optimally":[62],"minimizes":[63,207],"binning":[65,75,128,161,205],"yield-loss.":[66],"We":[67,199],"make":[68,84],"following":[70],"contributions:":[71],"1)":[72],"prove":[73],"yield":[76,125],"function":[77],"be":[79],"convex,":[80],"2)":[81],"do":[82],"not":[83,127],"any":[85,109],"assumptions":[86,110],"about":[87,111],"sources":[89],"variability,":[91],"and":[92],"their":[93],"distribution":[94],"model,":[95],"3)":[96],"integrate":[98],"our":[99,130,144],"strategy":[100],"with":[101,146,163,211],"statistical":[102],"analysis":[104],"tools":[105],"(STA),":[106],"without":[107],"making":[108],"how":[112],"STA":[113],"done,":[115],"4)":[116],"if":[117],"objective":[119],"optimize":[122,134],"traditional":[124,209],"(and":[126],"yield)":[129],"approach":[131,145,189],"can":[132],"still":[133],"same":[136],"very":[139],"large":[140],"extent.":[141],"Comparison":[142],"sensitivity-based":[147,217],"approaches":[148],"under":[149,177],"variability":[151],"shows":[152],"an":[153,164,168],"improvement":[154,214],"on":[156],"average":[157,169],"72%":[158],"yield-loss":[162,206,210],"area":[165],"overhead":[166],"6%,":[170],"while":[171],"achieving":[172],"2.69":[174],"times":[175],"speedup":[176],"stringent":[179],"constraint.":[181],"Moreover":[182],"show":[184,201],"worst-case":[187],"deterministic":[188],"fails":[190],"generate":[192],"solution":[194],"for":[195],"certain":[196],"delay":[197],"constraints.":[198],"also":[200],"optimizing":[203],"61%":[213],"from":[215],"approach.":[218]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}