{"id":"https://openalex.org/W2554677415","doi":"https://doi.org/10.1109/iccd.2016.7753325","title":"SRAM memory margin probability failure estimation using Gaussian Process regression","display_name":"SRAM memory margin probability failure estimation using Gaussian Process regression","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2554677415","doi":"https://doi.org/10.1109/iccd.2016.7753325","mag":"2554677415"},"language":"en","primary_location":{"id":"doi:10.1109/iccd.2016.7753325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2016.7753325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 34th International Conference on Computer Design (ICCD)","raw_type":"proceedings-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/A5057697163","display_name":"Manish Rana","orcid":"https://orcid.org/0000-0003-0984-3541"},"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":"Manish Rana","raw_affiliation_strings":["Department of Computer Architecture, Universitat Politecnica de Catalunya, Barcelona, Catalunya, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Architecture, Universitat Politecnica de Catalunya, Barcelona, Catalunya, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036543571","display_name":"Ram\u00f3n Canal","orcid":"https://orcid.org/0000-0003-4542-204X"},"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":"Ramon Canal","raw_affiliation_strings":["Department of Computer Architecture, Universitat Politecnica de Catalunya, Barcelona, Catalunya, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Architecture, Universitat Politecnica de Catalunya, Barcelona, Catalunya, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005550142","display_name":"Jie Han","orcid":"https://orcid.org/0000-0002-8849-4994"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jie Han","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013568704","display_name":"B.F. Cockburn","orcid":"https://orcid.org/0000-0002-4340-8394"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bruce Cockburn","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5581,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72424122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"448","last_page":"451"},"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":0.9970999956130981,"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":0.9970999956130981,"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":0.9968000054359436,"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":0.9943000078201294,"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.7129331827163696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49463650584220886},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4945187270641327},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.48676514625549316},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.4395974576473236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41998499631881714},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4108112156391144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3964526057243347},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3845270276069641},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3721682131290436},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20504939556121826},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.19775506854057312},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1459287405014038}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7129331827163696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49463650584220886},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4945187270641327},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.48676514625549316},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.4395974576473236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41998499631881714},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4108112156391144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3964526057243347},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3845270276069641},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3721682131290436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20504939556121826},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.19775506854057312},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1459287405014038},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccd.2016.7753325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2016.7753325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 34th International Conference on Computer Design (ICCD)","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":21,"referenced_works":["https://openalex.org/W824892955","https://openalex.org/W1746819321","https://openalex.org/W1994872806","https://openalex.org/W2022291755","https://openalex.org/W2033246483","https://openalex.org/W2103793078","https://openalex.org/W2111372718","https://openalex.org/W2117261126","https://openalex.org/W2120353978","https://openalex.org/W2130283669","https://openalex.org/W2151614652","https://openalex.org/W2153628901","https://openalex.org/W2290907549","https://openalex.org/W3139804307","https://openalex.org/W4211049957","https://openalex.org/W4232904678","https://openalex.org/W4233255510","https://openalex.org/W4239145761","https://openalex.org/W4256012597","https://openalex.org/W6679226052","https://openalex.org/W6682247806"],"related_works":["https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W4293503520","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655","https://openalex.org/W1964286703"],"abstract_inverted_index":{"Estimating":[0],"the":[1,18,31,42,55,59,69,73,95,141,167,178,194],"failure":[2,34,96],"probabilities":[3,35],"of":[4,20,41,72,129,135,145,155,161,171],"SRAM":[5],"memory":[6],"cells":[7],"using":[8,45,105],"Monte":[9,114,142,168,212],"Carlo":[10,115,143,169,213],"or":[11],"Importance":[12],"Sampling":[13],"techniques":[14],"is":[15,199],"expensive":[16],"in":[17,190,196],"number":[19],"SPICE":[21,107,197],"simulations":[22,108,198],"needed.":[23],"This":[24],"paper":[25],"presents":[26],"a":[27,38,77,84,90,101,126,152],"methodology":[28],"for":[29,76,140,166,177],"estimating":[30],"dynamic":[32,43,179],"margin":[33,44,56],"by":[36,80,100],"building":[37],"surrogate":[39,74,102],"model":[40,75,103],"Gaussian":[46],"Process":[47],"regression.":[48],"Additive":[49],"kernel":[50,66,87,92],"functions":[51,67],"that":[52],"can":[53],"extrapolate":[54],"values":[57,98],"from":[58],"simulated":[60],"samples":[61],"are":[62,109,185],"presented.":[63],"These":[64,182],"proposed":[65],"decrease":[68],"out-of-sample":[70],"error":[71,128,154],"6T":[78],"cell":[79],"32%":[81],"compared":[82,112,210],"with":[83,113,117],"six-dimensional":[85],"universal":[86],"such":[88],"as":[89],"Radial-Basis-Function":[91],"(RBF).":[93],"Finally,":[94],"probability":[97],"predicted":[99],"built":[104],"1250":[106],"reported":[110,189],"and":[111,151,202,208],"analysis":[116],"10":[118],"<sup":[119,137,147,163,173],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[120,138,148,164,174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">6</sup>":[121],"samples.":[122],"The":[123],"results":[124],"show":[125],"relative":[127,153,204],"30%":[130],"at":[131,157],"0.4V":[132],"(predicted":[133,159],"value":[134,160],"4\u00d710":[136],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-6</sup>":[139,149],"estimate":[144,170],"3\u00d710":[146,162],")":[150,176],"172%":[156],"0.3V":[158],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-5</sup>":[165,175],"1.1\u00d710":[172],"read":[180],"margin.":[181],"accuracy":[183],"numbers":[184],"similar":[186],"to":[187,205,211],"those":[188],"previous":[191],"proposals":[192,207],"while":[193],"reduction":[195],"between":[200],"4\u00d7":[201],"23\u00d7":[203],"these":[206],"800\u00d7":[209],"method.":[214]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}