{"id":"https://openalex.org/W1994620586","doi":"https://doi.org/10.1145/1230800.1230804","title":"Prediction of leakage power under process uncertainties","display_name":"Prediction of leakage power under process uncertainties","publication_year":2007,"publication_date":"2007-04-01","ids":{"openalex":"https://openalex.org/W1994620586","doi":"https://doi.org/10.1145/1230800.1230804","mag":"1994620586"},"language":"en","primary_location":{"id":"doi:10.1145/1230800.1230804","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1230800.1230804","pdf_url":null,"source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic Systems","raw_type":"journal-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/A5076651242","display_name":"Hongliang Chang","orcid":"https://orcid.org/0000-0003-1467-2679"},"institutions":[{"id":"https://openalex.org/I66217453","display_name":"Cadence Design Systems (United States)","ror":"https://ror.org/04w8xa018","country_code":"US","type":"company","lineage":["https://openalex.org/I66217453"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hongliang Chang","raw_affiliation_strings":["Cadence Design Systems, San Jose, CA","Cadence Design Syst., San Jose, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Cadence Design Systems, San Jose, CA","institution_ids":["https://openalex.org/I66217453"]},{"raw_affiliation_string":"Cadence Design Syst., San Jose, CA#TAB#","institution_ids":["https://openalex.org/I66217453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068714995","display_name":"Sachin S. Sapatnekar","orcid":"https://orcid.org/0000-0002-5353-2364"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sachin S. Sapatnekar","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN","University of Minnesota , Minneapolis, Mn"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota , Minneapolis, Mn","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076651242"],"corresponding_institution_ids":["https://openalex.org/I66217453"],"apc_list":null,"apc_paid":null,"fwci":4.6218,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.94366689,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"2","first_page":"12","last_page":"12"},"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":1.0,"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":1.0,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit 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/T10472","display_name":"Semiconductor materials and devices","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"}}],"keywords":[{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.7332437038421631},{"id":"https://openalex.org/keywords/subthreshold-conduction","display_name":"Subthreshold conduction","score":0.6595088243484497},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.6479439735412598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5881637334823608},{"id":"https://openalex.org/keywords/process-variation","display_name":"Process variation","score":0.5570489168167114},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.5005829334259033},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4507456421852112},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4388657510280609},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3261048197746277},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.32094478607177734},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.21647056937217712},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20721033215522766},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.1883847415447235},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15663492679595947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1413927674293518},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09905180335044861}],"concepts":[{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.7332437038421631},{"id":"https://openalex.org/C156465305","wikidata":"https://www.wikidata.org/wiki/Q1658601","display_name":"Subthreshold conduction","level":4,"score":0.6595088243484497},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.6479439735412598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881637334823608},{"id":"https://openalex.org/C93389723","wikidata":"https://www.wikidata.org/wiki/Q7247313","display_name":"Process variation","level":3,"score":0.5570489168167114},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.5005829334259033},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4507456421852112},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4388657510280609},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3261048197746277},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.32094478607177734},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.21647056937217712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20721033215522766},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.1883847415447235},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15663492679595947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1413927674293518},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09905180335044861},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1230800.1230804","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1230800.1230804","pdf_url":null,"source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6299999952316284,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1661368752","https://openalex.org/W1667165204","https://openalex.org/W1693570377","https://openalex.org/W1699495354","https://openalex.org/W1977489283","https://openalex.org/W1989716769","https://openalex.org/W2026078757","https://openalex.org/W2035894108","https://openalex.org/W2086964874","https://openalex.org/W2087773252","https://openalex.org/W2096424065","https://openalex.org/W2098685104","https://openalex.org/W2104135808","https://openalex.org/W2108726631","https://openalex.org/W2119821681","https://openalex.org/W2124868709","https://openalex.org/W2126564504","https://openalex.org/W2132389735","https://openalex.org/W2162935501","https://openalex.org/W2167232152","https://openalex.org/W2168356039","https://openalex.org/W2178225970","https://openalex.org/W2942228371","https://openalex.org/W4232777018"],"related_works":["https://openalex.org/W2155827627","https://openalex.org/W2131019417","https://openalex.org/W4242937255","https://openalex.org/W2018127069","https://openalex.org/W2132385758","https://openalex.org/W2924345281","https://openalex.org/W2122696791","https://openalex.org/W4239145761","https://openalex.org/W2111372718","https://openalex.org/W2615230521"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,105],"present":[4],"a":[5,14,61,72,120],"method":[6,109],"to":[7,81,94,110,119,163],"analyze":[8],"the":[9,27,30,40,65,75,79,99,112,137,145,151,171,178,192],"total":[10,66,182],"leakage":[11,45,56,68,103,131,197],"current":[12],"of":[13,29,33,74,114,130,136,181,195],"circuit":[15],"under":[16],"process":[17,53,158],"variations,":[18,54],"considering":[19],"interdie":[20],"and":[21,42,64,88,98,133,141,185],"intradie":[22,34],"variations":[23],"as":[24,26,47,49,71],"well":[25,48],"effect":[28],"spatial":[31,96,138,188],"correlations":[32,97,189],"variations.":[35],"The":[36],"approach":[37,149],"considers":[38],"both":[39,95],"subthreshold":[41],"gate":[43],"tunneling":[44],"power,":[46],"their":[50],"interactions.":[51],"With":[52],"each":[55],"component":[57],"is":[58,69,160],"approximated":[59],"by":[60,126],"lognormal":[62],"distribution,":[63],"chip":[67,183],"computed":[70,154],"sum":[73],"correlated":[76,115,157],"lognormals.":[77],"Since":[78],"lognormals":[80,116],"be":[82],"summed":[83],"are":[84,174],"large":[85],"in":[86,176],"number":[87,113],"have":[89],"complicated":[90],"correlation":[91,100,139],"structures":[92],"due":[93],"among":[101],"different":[102],"mechanisms,":[104],"propose":[106],"an":[107],"efficient":[108],"reduce":[111],"for":[117],"summation":[118],"manageable":[121],"quantity.":[122],"We":[123,168],"do":[124],"so":[125],"identifying":[127],"dominant":[128],"states":[129,143],"currents":[132],"taking":[134],"advantage":[135],"model":[140],"input":[142],"at":[144],"gates.":[146],"An":[147],"improved":[148],"utilizing":[150],"principal":[152],"components":[153],"from":[155],"spatially":[156],"parameters":[159],"also":[161],"proposed":[162,172],"further":[164],"improve":[165],"runtime":[166],"efficiency.":[167],"show":[169],"that":[170,186],"methods":[173],"effective":[175],"predicting":[177],"probability":[179],"distribution":[180],"leakage,":[184],"ignoring":[187],"can":[190],"underestimate":[191],"standard":[193],"deviation":[194],"full-chip":[196],"power.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}