{"id":"https://openalex.org/W2162613878","doi":"https://doi.org/10.1109/tvlsi.2008.2001941","title":"Accurate Estimation of SRAM Dynamic Stability","display_name":"Accurate Estimation of SRAM Dynamic Stability","publication_year":2008,"publication_date":"2008-11-25","ids":{"openalex":"https://openalex.org/W2162613878","doi":"https://doi.org/10.1109/tvlsi.2008.2001941","mag":"2162613878"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2008.2001941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2008.2001941","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) 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/A5056838032","display_name":"Diaa Khalil","orcid":"https://orcid.org/0000-0002-2067-2002"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"DiaaEldin Khalil","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036997390","display_name":"Muhammad Khellah","orcid":"https://orcid.org/0000-0001-9651-5639"},"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":"Muhammad Khellah","raw_affiliation_strings":["Circuits Research Laboratory, Intel Corporation, Hillsboro, OR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits Research Laboratory, Intel Corporation, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012358155","display_name":"Nam-Sung Kim","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":"Nam-Sung Kim","raw_affiliation_strings":["Circuits Research Laboratory, Intel Corporation, Hillsboro, OR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits Research Laboratory, Intel Corporation, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084980840","display_name":"Yehea Ismail","orcid":"https://orcid.org/0000-0003-3956-7533"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yehea Ismail","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016416631","display_name":"Tanay Karnik","orcid":"https://orcid.org/0000-0003-0072-1492"},"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":"Tanay Karnik","raw_affiliation_strings":["Circuits Research Laboratory, Intel Corporation, Hillsboro, OR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits Research Laboratory, Intel Corporation, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076642880","display_name":"Vivek De","orcid":"https://orcid.org/0000-0001-5207-1079"},"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":"Vivek K. De","raw_affiliation_strings":["Circuits Research Laboratory, Intel Corporation, Hillsboro, OR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits Research Laboratory, Intel Corporation, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7485,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.950726,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"16","issue":"12","first_page":"1639","last_page":"1647"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.7775317430496216},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6577733159065247},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6381095051765442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5708881616592407},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4762711226940155},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4539007544517517},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4437447190284729},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4312894344329834},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3561614751815796},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24074533581733704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14650806784629822},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08610829710960388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08342736959457397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06473895907402039}],"concepts":[{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.7775317430496216},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6577733159065247},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6381095051765442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5708881616592407},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4762711226940155},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4539007544517517},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4437447190284729},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4312894344329834},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3561614751815796},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24074533581733704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14650806784629822},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08610829710960388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08342736959457397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06473895907402039},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/tvlsi.2008.2001941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2008.2001941","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1488384621","https://openalex.org/W1565505009","https://openalex.org/W1572480955","https://openalex.org/W1589130434","https://openalex.org/W1759929813","https://openalex.org/W1963836677","https://openalex.org/W1967316147","https://openalex.org/W2002612140","https://openalex.org/W2030530609","https://openalex.org/W2033077089","https://openalex.org/W2054896126","https://openalex.org/W2057541401","https://openalex.org/W2117076170","https://openalex.org/W2117648153","https://openalex.org/W2132621842","https://openalex.org/W2143901474","https://openalex.org/W2144435953","https://openalex.org/W2147632348","https://openalex.org/W2157210245","https://openalex.org/W2168101540","https://openalex.org/W2171922263","https://openalex.org/W2254447562","https://openalex.org/W2543171663","https://openalex.org/W2545471485","https://openalex.org/W2788433071","https://openalex.org/W2802198863","https://openalex.org/W3080803916","https://openalex.org/W3148792909","https://openalex.org/W4233127653","https://openalex.org/W4233358567","https://openalex.org/W6679781275","https://openalex.org/W6681203205","https://openalex.org/W6691952131","https://openalex.org/W6729012750","https://openalex.org/W6748134440","https://openalex.org/W6782181707"],"related_works":["https://openalex.org/W2110839220","https://openalex.org/W2363134532","https://openalex.org/W1509975391","https://openalex.org/W2104458819","https://openalex.org/W2012045996","https://openalex.org/W2808661400","https://openalex.org/W1966959553","https://openalex.org/W2948537294","https://openalex.org/W2123384112","https://openalex.org/W2119025037"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"accurate":[4,85,90],"approach":[5],"for":[6,84,125],"estimating":[7],"SRAM":[8,17,46],"dynamic":[9,43,92,127,132],"stability":[10,18,119],"is":[11],"proposed.":[12],"The":[13],"conventional":[14,136],"methods":[15,137],"of":[16,45,105,118],"estimation":[19],"suffer":[20],"from":[21],"two":[22],"major":[23],"drawbacks:":[24],"1)":[25],"using":[26,50],"static":[27,32],"failure":[28,57,69,93],"criteria,":[29],"such":[30,130],"as":[31,131],"noise":[33],"margin":[34],"(SNM),":[35],"which":[36,54],"does":[37],"not":[38,139],"capture":[39],"the":[40,56,64,67,100,111,115,135],"transient":[41],"and":[42,48,124],"behavior":[44],"operation":[47,122],"2)":[49],"quasi-Monte":[51],"Carlo":[52],"simulation,":[53],"approximates":[55],"distribution,":[58],"resulting":[59],"in":[60,108,120],"large":[61],"errors":[62],"at":[63],"tails":[65],"where":[66,134],"desired":[68],"probabilities":[70],"exist.":[71],"These":[72],"drawbacks":[73],"are":[74,138],"eliminated":[75],"by":[76],"employing":[77],"a":[78],"new":[79],"distribution-independent,":[80],"most-probable-failure-point":[81],"search":[82],"technique":[83,102,113],"probability":[86],"calculation":[87],"along":[88],"with":[89],"simulation-based":[91],"criteria.":[94],"Compared":[95],"to":[96],"previously":[97],"published":[98],"techniques,":[99,129],"proposed":[101,112],"offers":[103],"orders":[104],"magnitude":[106],"improvement":[107],"accuracy.":[109],"Furthermore,":[110],"enables":[114],"correct":[116],"evaluation":[117],"real":[121],"conditions":[123],"different":[126],"circuit":[128],"write-back,":[133],"applicable.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
