{"id":"https://openalex.org/W4246250124","doi":"https://doi.org/10.1109/iccad.2013.6691147","title":"Scalable and efficient analog parametric fault identification","display_name":"Scalable and efficient analog parametric fault identification","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W4246250124","doi":"https://doi.org/10.1109/iccad.2013.6691147"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2013.6691147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2013.6691147","pdf_url":null,"source":{"id":"https://openalex.org/S4363608415","display_name":"2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5035639218","display_name":"Mustafa Berke Yelten","orcid":"https://orcid.org/0000-0001-7482-0536"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mustafa Berke Yelten","raw_affiliation_strings":["Intel Corporation, Hillsboro, OR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113724917","display_name":"Suriyaprakash Natarajan","orcid":"https://orcid.org/0000-0002-5499-4341"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suriyaprakash Natarajan","raw_affiliation_strings":["Intel Corporation, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041175666","display_name":"Bin Xue","orcid":"https://orcid.org/0000-0002-0838-3064"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Xue","raw_affiliation_strings":["Intel Corporation, Hillsboro, OR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005439185","display_name":"Prashant Goteti","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prashant Goteti","raw_affiliation_strings":["Intel Corporation, Folsom, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Folsom, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1343180700"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"387","last_page":"392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10363","display_name":"Low-power high-performance VLSI design","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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9994999766349792,"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/parametric-statistics","display_name":"Parametric statistics","score":0.7774378061294556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7184540033340454},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6918628215789795},{"id":"https://openalex.org/keywords/analogue-electronics","display_name":"Analogue electronics","score":0.627386212348938},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5551608800888062},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.503922164440155},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.48674964904785156},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4823886454105377},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.45980679988861084},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4521591067314148},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.42711037397384644},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41420724987983704},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.39496803283691406},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.37103915214538574},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19821298122406006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11265146732330322},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08225101232528687}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7774378061294556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7184540033340454},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6918628215789795},{"id":"https://openalex.org/C29074008","wikidata":"https://www.wikidata.org/wiki/Q174925","display_name":"Analogue electronics","level":3,"score":0.627386212348938},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5551608800888062},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.503922164440155},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.48674964904785156},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4823886454105377},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.45980679988861084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4521591067314148},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.42711037397384644},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41420724987983704},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.39496803283691406},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.37103915214538574},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19821298122406006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11265146732330322},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08225101232528687},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad.2013.6691147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2013.6691147","pdf_url":null,"source":{"id":"https://openalex.org/S4363608415","display_name":"2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1686846969","https://openalex.org/W1986633635","https://openalex.org/W1987937249","https://openalex.org/W1992306745","https://openalex.org/W1999141085","https://openalex.org/W2001814631","https://openalex.org/W2037887677","https://openalex.org/W2074014702","https://openalex.org/W2122770098","https://openalex.org/W2130282462","https://openalex.org/W2135282447","https://openalex.org/W2136081346","https://openalex.org/W2169189905","https://openalex.org/W3151880060","https://openalex.org/W4244195727","https://openalex.org/W6659966758","https://openalex.org/W6680411426"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W2375192119","https://openalex.org/W2122222688","https://openalex.org/W1933057227"],"abstract_inverted_index":{"Analog":[0],"circuits":[1,51,61],"embedded":[2],"in":[3,19,48],"large":[4],"mixed-signal":[5],"designs":[6],"can":[7],"fail":[8],"due":[9],"to":[10,24,31,44,88],"unexpected":[11],"process":[12,102],"parameter":[13],"excursions.":[14],"To":[15],"evaluate":[16],"manufacturing":[17],"tests":[18],"terms":[20],"of":[21,70,83],"their":[22],"ability":[23],"detect":[25],"such":[26],"failures,":[27],"parametric":[28,85],"faults":[29,47,86],"leading":[30],"circuit":[32],"failures":[33],"should":[34],"be":[35],"identified.":[36],"This":[37],"paper":[38],"proposes":[39],"an":[40],"iterative":[41],"sampling":[42],"method":[43,75],"identify":[45],"these":[46],"large-scale":[49],"analog":[50],"with":[52],"a":[53,63,77,89],"constrained":[54],"simulation":[55],"budget.":[56],"Experiment":[57],"results":[58],"on":[59],"two":[60],"from":[62],"serial":[64],"IO":[65],"interface":[66],"demonstrate":[67],"the":[68,71],"effectiveness":[69],"methodology.":[72],"The":[73],"proposed":[74],"identifies":[76],"significantly":[78],"larger":[79],"and":[80],"diverse":[81],"set":[82],"critical":[84],"compared":[87],"Monte":[90],"Carlo-based":[91],"approach":[92],"for":[93,98],"identical":[94],"computational":[95],"budget,":[96],"particularly":[97],"cases":[99],"involving":[100],"significant":[101],"variations.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
