{"id":"https://openalex.org/W4312467445","doi":"https://doi.org/10.1109/iscas48785.2022.9937260","title":"Reliability Improvement in RRAM-based DNN for Edge Computing","display_name":"Reliability Improvement in RRAM-based DNN for Edge Computing","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312467445","doi":"https://doi.org/10.1109/iscas48785.2022.9937260"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937260","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5026285037","display_name":"Md. Oli-Uz-Zaman","orcid":"https://orcid.org/0000-0002-9290-7763"},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Oli-Uz-Zaman","raw_affiliation_strings":["University of South Alabama,Electrical and Computer Engineering,Mobile,AL,USA","Electrical and Computer Engineering, University of South Alabama, Mobile, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Alabama,Electrical and Computer Engineering,Mobile,AL,USA","institution_ids":["https://openalex.org/I83809506"]},{"raw_affiliation_string":"Electrical and Computer Engineering, University of South Alabama, Mobile, AL, USA","institution_ids":["https://openalex.org/I83809506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015086447","display_name":"Saleh Ahmad Khan","orcid":"https://orcid.org/0000-0002-6314-1631"},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saleh Ahmad Khan","raw_affiliation_strings":["University of South Alabama,Electrical and Computer Engineering,Mobile,AL,USA","Electrical and Computer Engineering, University of South Alabama, Mobile, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Alabama,Electrical and Computer Engineering,Mobile,AL,USA","institution_ids":["https://openalex.org/I83809506"]},{"raw_affiliation_string":"Electrical and Computer Engineering, University of South Alabama, Mobile, AL, USA","institution_ids":["https://openalex.org/I83809506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007300551","display_name":"Geng Yuan","orcid":"https://orcid.org/0000-0001-9844-992X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geng Yuan","raw_affiliation_strings":["Northeastern University,Electrical and Computer Engineering,Boston,MA,USA","Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Electrical and Computer Engineering,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651384","display_name":"Yanzhi Wang","orcid":"https://orcid.org/0000-0002-3024-7990"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanzhi Wang","raw_affiliation_strings":["Northeastern University,Electrical and Computer Engineering,Boston,MA,USA","Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Electrical and Computer Engineering,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077779106","display_name":"Zhiheng Liao","orcid":"https://orcid.org/0000-0002-8225-5044"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiheng Liao","raw_affiliation_strings":["North Dakota State University,Electrical and Computer Engineering,Fargo,ND,USA","Electrical and Computer Engineering, North Dakota State University, Fargo, ND, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Dakota State University,Electrical and Computer Engineering,Fargo,ND,USA","institution_ids":["https://openalex.org/I57328836"]},{"raw_affiliation_string":"Electrical and Computer Engineering, North Dakota State University, Fargo, ND, USA","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084844391","display_name":"Jingyan Fu","orcid":"https://orcid.org/0000-0003-3017-4848"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyan Fu","raw_affiliation_strings":["North Dakota State University,Electrical and Computer Engineering,Fargo,ND,USA","Electrical and Computer Engineering, North Dakota State University, Fargo, ND, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Dakota State University,Electrical and Computer Engineering,Fargo,ND,USA","institution_ids":["https://openalex.org/I57328836"]},{"raw_affiliation_string":"Electrical and Computer Engineering, North Dakota State University, Fargo, ND, USA","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030060072","display_name":"Caiwen Ding","orcid":"https://orcid.org/0000-0003-0891-1231"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caiwen Ding","raw_affiliation_strings":["University of Connecticut,Computer Science and Engineering,Storrs,CT,USA","Computer Science and Engineering, University of Connecticut, Storrs, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut,Computer Science and Engineering,Storrs,CT,USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Computer Science and Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100394108","display_name":"Jinhui Wang","orcid":"https://orcid.org/0009-0000-1584-3631"},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinhui Wang","raw_affiliation_strings":["University of South Alabama,Electrical and Computer Engineering,Mobile,AL,USA","Electrical and Computer Engineering, University of South Alabama, Mobile, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Alabama,Electrical and Computer Engineering,Mobile,AL,USA","institution_ids":["https://openalex.org/I83809506"]},{"raw_affiliation_string":"Electrical and Computer Engineering, University of South Alabama, Mobile, AL, USA","institution_ids":["https://openalex.org/I83809506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"581","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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/T10502","display_name":"Advanced Memory and Neural Computing","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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","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/T12676","display_name":"Machine Learning and ELM","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.8782041668891907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6973010301589966},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6846776008605957},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.575261116027832},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5699080228805542},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.568817675113678},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5382800698280334},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.49419334530830383},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.48313137888908386},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45173415541648865},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.44475293159484863},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.382618248462677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35373836755752563},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.30370843410491943},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.1947038769721985},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1310783326625824},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12602901458740234}],"concepts":[{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.8782041668891907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6973010301589966},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6846776008605957},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.575261116027832},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5699080228805542},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.568817675113678},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5382800698280334},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.49419334530830383},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.48313137888908386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45173415541648865},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.44475293159484863},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.382618248462677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35373836755752563},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.30370843410491943},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.1947038769721985},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1310783326625824},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12602901458740234},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937260","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1971319818","https://openalex.org/W1999945460","https://openalex.org/W2004823737","https://openalex.org/W2112181056","https://openalex.org/W2162651880","https://openalex.org/W2254450385","https://openalex.org/W2612375349","https://openalex.org/W2625840880","https://openalex.org/W2626719825","https://openalex.org/W2768104155","https://openalex.org/W2810068957","https://openalex.org/W2896457183","https://openalex.org/W2978384356","https://openalex.org/W3085008348","https://openalex.org/W3112740243","https://openalex.org/W3124409744","https://openalex.org/W3161056092","https://openalex.org/W3162727751","https://openalex.org/W3198827913","https://openalex.org/W6755207826","https://openalex.org/W6774800637"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4312996489","https://openalex.org/W3214037210"],"abstract_inverted_index":{"Recently,":[0],"the":[1,31,38,48,55,59,83,87,91,99,105,118,130,141,145,156,164],"Resistive":[2],"Random":[3],"Access":[4],"Memory":[5],"(RRAM)":[6],"has":[7],"been":[8],"paid":[9],"more":[10],"attention":[11],"for":[12,58,86,103],"edge":[13],"computing":[14],"applications":[15],"in":[16,69,144],"both":[17],"academia":[18],"and":[19,26,96,174],"industry,":[20],"because":[21],"it":[22,149],"offers":[23],"power":[24,173],"efficiency":[25],"low":[27],"latency":[28],"to":[29,72,110,123,154,159,171],"perform":[30],"complex":[32],"analog":[33],"in-situ":[34],"matrix-vector":[35],"multiplication":[36],"\u2013":[37],"most":[39],"fundamental":[40],"operation":[41],"of":[42,132],"Deep":[43],"Neural":[44],"Networks":[45],"(DNNs).":[46],"But":[47],"Stuck":[49],"at":[50,108],"Fault":[51],"(SAF)":[52],"defect":[53],"makes":[54],"RRAM":[56],"unreliable":[57],"practical":[60],"implementation.":[61],"A":[62],"differential":[63],"mapping":[64],"method":[65],"(DMM)":[66],"is":[67,94,101,134,143,150,162,166],"proposed":[68],"this":[70],"paper":[71],"improve":[73],"reliability":[74],"by":[75,178],"mitigate":[76],"SAF":[77,142],"defects":[78],"from":[79],"RRAM-based":[80],"DNNs.":[81],"Firstly,":[82],"weight":[84],"distribution":[85],"VGG8":[88],"model":[89],"with":[90],"CIFAR10":[92],"dataset":[93],"presented":[95],"analyzed.":[97],"Then":[98],"DMM":[100,119,165],"used":[102],"recovering":[104],"inference":[106,126,157],"accuracies":[107,127],"0.1%":[109],"50%":[111],"SAFs.":[112,179],"The":[113],"experiment":[114],"results":[115],"show":[116],"that":[117],"can":[120],"recover":[121,155],"DNNs":[122],"their":[124],"original":[125],"(90%),":[128],"when":[129,140],"ratio":[131],"SAFs":[133],"smaller":[135],"than":[136],"7.5%.":[137],"And":[138],"even":[139],"extreme":[146],"condition":[147],"50%,":[148],"still":[151],"highly":[152,168],"efficient":[153],"accuracy":[158],"80%.":[160],"What":[161],"more,":[163],"a":[167],"reliable":[169],"regulator":[170],"avoid":[172],"timing":[175],"overhead":[176],"generated":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
