{"id":"https://openalex.org/W2152829514","doi":"https://doi.org/10.1109/etsym.2010.5512778","title":"Parametric failure analysis of embedded SRAMs using fast &amp;amp; accurate dynamic analysis","display_name":"Parametric failure analysis of embedded SRAMs using fast &amp;amp; accurate dynamic analysis","publication_year":2010,"publication_date":"2010-05-01","ids":{"openalex":"https://openalex.org/W2152829514","doi":"https://doi.org/10.1109/etsym.2010.5512778","mag":"2152829514"},"language":"en","primary_location":{"id":"doi:10.1109/etsym.2010.5512778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etsym.2010.5512778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 15th IEEE European Test Symposium","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/A5071009840","display_name":"Elena Ioana Vatajelu","orcid":"https://orcid.org/0000-0002-4588-1812"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Elena I. Vatajelu","raw_affiliation_strings":["Department of Electrical Engineering, Universitat Politecnica de Catalunya (UPC), Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universitat Politecnica de Catalunya (UPC), Barcelona, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074954167","display_name":"Georgios Panagopoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios Panagopoulos","raw_affiliation_strings":["Nanoelectronics Research Laboratory, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanoelectronics Research Laboratory, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031161187","display_name":"Kaushik Roy","orcid":"https://orcid.org/0000-0002-0735-9695"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Roy","raw_affiliation_strings":["Nanoelectronics Research Laboratory, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanoelectronics Research Laboratory, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012439108","display_name":"Joan Figueras","orcid":"https://orcid.org/0000-0003-4203-0788"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joan Figueras","raw_affiliation_strings":["Department of Electrical Engineering, Universitat Politecnica de Catalunya (UPC), Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universitat Politecnica de Catalunya (UPC), Barcelona, Spain","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"74"},"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":1.0,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","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"}}],"keywords":[{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.8260010480880737},{"id":"https://openalex.org/keywords/spice","display_name":"Spice","score":0.7657263278961182},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7618595957756042},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6480046510696411},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6278848052024841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5972583293914795},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5658037066459656},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5029858946800232},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.49227824807167053},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.469329297542572},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.44792744517326355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3558542728424072},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2982853651046753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15617364645004272},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10898196697235107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.06964144110679626}],"concepts":[{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.8260010480880737},{"id":"https://openalex.org/C2780077345","wikidata":"https://www.wikidata.org/wiki/Q16891888","display_name":"Spice","level":2,"score":0.7657263278961182},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7618595957756042},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6480046510696411},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6278848052024841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5972583293914795},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5658037066459656},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5029858946800232},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.49227824807167053},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.469329297542572},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.44792744517326355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3558542728424072},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2982853651046753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15617364645004272},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10898196697235107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.06964144110679626},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etsym.2010.5512778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etsym.2010.5512778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 15th IEEE European Test Symposium","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":18,"referenced_works":["https://openalex.org/W2002612140","https://openalex.org/W2018341838","https://openalex.org/W2033095027","https://openalex.org/W2075966063","https://openalex.org/W2080326481","https://openalex.org/W2087114849","https://openalex.org/W2123085386","https://openalex.org/W2124330187","https://openalex.org/W2133989619","https://openalex.org/W2134067926","https://openalex.org/W2150052650","https://openalex.org/W2172020468","https://openalex.org/W3143002681","https://openalex.org/W4243164749","https://openalex.org/W4254168948","https://openalex.org/W4255246482","https://openalex.org/W6672033794","https://openalex.org/W6792412695"],"related_works":["https://openalex.org/W2204879205","https://openalex.org/W1943174035","https://openalex.org/W2096437374","https://openalex.org/W1928481607","https://openalex.org/W3135165657","https://openalex.org/W1485582195","https://openalex.org/W57337972","https://openalex.org/W1561306903","https://openalex.org/W2563702065","https://openalex.org/W2904996773"],"abstract_inverted_index":{"Increased":[0],"die-to-die":[1],"and":[2,76],"on-die":[3],"variations":[4],"in":[5,14,64],"scaled":[6],"technologies":[7],"can":[8,60,77],"lead":[9],"to":[10,34],"parametric":[11],"failures":[12,63],"(Read/Write/Access)":[13],"embedded":[15],"SRAMs.":[16],"Conventionally,":[17],"SRAM":[18,81],"bit-cell":[19],"failure":[20],"analysis":[21],"is":[22,74],"based":[23,53],"on":[24,54],"the":[25,55,80,89,94],"Static":[26],"Noise":[27],"Margin":[28],"(SNM),":[29],"a":[30,45],"metric":[31],"that":[32,59,88],"leads":[33],"conservative":[35],"estimate":[36,62,79],"of":[37,47],"design":[38],"yield.":[39,82],"In":[40],"this":[41],"paper":[42],"we":[43],"present":[44],"method":[46,73],"dynamic":[48],"noise":[49],"margin":[50],"(DNM)":[51],"estimation":[52,72],"modeling":[56],"technique":[57],"developed":[58],"efficiently":[61],"bit-cells":[65],"under":[66],"parameter":[67],"variations.":[68],"The":[69],"proposed":[70,90],"DNM":[71,91],"fast,":[75],"accurately":[78],"Monte":[83],"Carlo":[84],"simulation":[85],"results":[86,95],"show":[87],"closely":[92],"matches":[93],"from":[96],"SPICE":[97],"analysis.":[98]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"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"}
