{"id":"https://openalex.org/W3162727751","doi":"https://doi.org/10.1109/isqed51717.2021.9424332","title":"Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI","display_name":"Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI","publication_year":2021,"publication_date":"2021-04-07","ids":{"openalex":"https://openalex.org/W3162727751","doi":"https://doi.org/10.1109/isqed51717.2021.9424332","mag":"3162727751"},"language":"en","primary_location":{"id":"doi:10.1109/isqed51717.2021.9424332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed51717.2021.9424332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 22nd International Symposium on Quality Electronic Design (ISQED)","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/A5007300551","display_name":"Geng Yuan","orcid":"https://orcid.org/0000-0001-9844-992X"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Geng Yuan","raw_affiliation_strings":["Northeastern University"],"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"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/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]},{"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"],"affiliations":[{"raw_affiliation_string":"North Dakota State University","institution_ids":["https://openalex.org/I125467818","https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101507446","display_name":"Xiaolong Ma","orcid":"https://orcid.org/0000-0002-6842-7591"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Xiaolong Ma","raw_affiliation_strings":["Northeastern University"],"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101535506","display_name":"Yuxuan Cai","orcid":"https://orcid.org/0000-0002-7124-4219"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Yuxuan Cai","raw_affiliation_strings":["Northeastern University"],"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078971265","display_name":"Zhenglun Kong","orcid":"https://orcid.org/0000-0002-8120-4456"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Zhenglun Kong","raw_affiliation_strings":["Northeastern University"],"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101655527","display_name":"Xuan Shen","orcid":"https://orcid.org/0000-0003-4965-7321"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Xuan Shen","raw_affiliation_strings":["Northeastern University"],"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"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"]},{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyan Fu","raw_affiliation_strings":["North Dakota State University"],"affiliations":[{"raw_affiliation_string":"North Dakota State University","institution_ids":["https://openalex.org/I125467818","https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633365","display_name":"Zhengang Li","orcid":"https://orcid.org/0000-0001-6644-4761"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Zhengang Li","raw_affiliation_strings":["Northeastern University"],"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100691057","display_name":"Chengming Zhang","orcid":"https://orcid.org/0000-0003-4920-9481"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengming Zhang","raw_affiliation_strings":["Washington State University"],"affiliations":[{"raw_affiliation_string":"Washington State University","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045835605","display_name":"Hongwu Peng","orcid":"https://orcid.org/0000-0003-2025-2195"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongwu Peng","raw_affiliation_strings":["University of Connecticut"],"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645558","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0002-8517-0652"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["Northeastern University"],"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051490998","display_name":"Ao Ren","orcid":"https://orcid.org/0000-0002-2322-8038"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Ren","raw_affiliation_strings":["Chongqing University"],"affiliations":[{"raw_affiliation_string":"Chongqing University","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","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"],"affiliations":[{"raw_affiliation_string":"University of South Alabama","institution_ids":["https://openalex.org/I83809506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100651384","display_name":"Yanzhi Wang","orcid":"https://orcid.org/0000-0002-3024-7990"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Yanzhi Wang","raw_affiliation_strings":["Northeastern University"],"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5007300551"],"corresponding_institution_ids":["https://openalex.org/I87182695"],"apc_list":null,"apc_paid":null,"fwci":3.1084,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.9202065,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"141"},"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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9966999888420105,"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":0.7737331986427307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7386611700057983},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.6362511515617371},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5902236700057983},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5852742791175842},{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.5586282014846802},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.47242724895477295},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4723290801048279},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4484982192516327},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.428228497505188},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4252017140388489},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3277565538883209},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.2523980736732483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2189566195011139},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1028721034526825}],"concepts":[{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.7737331986427307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386611700057983},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.6362511515617371},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5902236700057983},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5852742791175842},{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.5586282014846802},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.47242724895477295},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4723290801048279},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4484982192516327},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.428228497505188},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4252017140388489},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3277565538883209},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2523980736732483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2189566195011139},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1028721034526825},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isqed51717.2021.9424332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed51717.2021.9424332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 22nd International Symposium on Quality Electronic Design (ISQED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1895898382","https://openalex.org/W1971319818","https://openalex.org/W2000321316","https://openalex.org/W2022208730","https://openalex.org/W2119144962","https://openalex.org/W2162651880","https://openalex.org/W2508602506","https://openalex.org/W2518281301","https://openalex.org/W2612375349","https://openalex.org/W2625840880","https://openalex.org/W2626719825","https://openalex.org/W2751366252","https://openalex.org/W2757830409","https://openalex.org/W2786266960","https://openalex.org/W2798170643","https://openalex.org/W2805003733","https://openalex.org/W2810068957","https://openalex.org/W2896457183","https://openalex.org/W2897961390","https://openalex.org/W2906775339","https://openalex.org/W2940681365","https://openalex.org/W2963000224","https://openalex.org/W2963147303","https://openalex.org/W2963341956","https://openalex.org/W2963363373","https://openalex.org/W2963813662","https://openalex.org/W2963944087","https://openalex.org/W2964299589","https://openalex.org/W2971533524","https://openalex.org/W2978384356","https://openalex.org/W3000207760","https://openalex.org/W3012561096","https://openalex.org/W3013407975","https://openalex.org/W3014166398","https://openalex.org/W3021906994","https://openalex.org/W3034923703","https://openalex.org/W3042493405","https://openalex.org/W3090857937","https://openalex.org/W3104263540","https://openalex.org/W3104393472","https://openalex.org/W3107328246","https://openalex.org/W3110661837","https://openalex.org/W3111474787","https://openalex.org/W3127317982","https://openalex.org/W6643100982","https://openalex.org/W6677580257","https://openalex.org/W6725543821","https://openalex.org/W6748744301","https://openalex.org/W6751979845","https://openalex.org/W6755207826","https://openalex.org/W6786417523"],"related_works":["https://openalex.org/W3005999147","https://openalex.org/W3176428941","https://openalex.org/W3089883684","https://openalex.org/W4232634182","https://openalex.org/W4301187613","https://openalex.org/W2923038022","https://openalex.org/W3008646524","https://openalex.org/W4385624997","https://openalex.org/W2593506445","https://openalex.org/W4322761281"],"abstract_inverted_index":{"Recent":[0],"research":[1],"demonstrated":[2],"the":[3,44,49,92,102,117,139,159,172],"promise":[4],"of":[5,43,94,104,133],"using":[6],"resistive":[7],"random":[8],"access":[9],"memory":[10],"(ReRAM)":[11],"as":[12,38],"an":[13,69,131],"emerging":[14],"technology":[15],"to":[16,52,63,71,115,158],"perform":[17],"inherently":[18],"parallel":[19],"analog":[20],"domain":[21],"in-situ":[22],"matrix-vector":[23],"multiplication-the":[24],"intensive":[25],"and":[26,168],"key":[27],"computation":[28],"in":[29,97,143],"deep":[30],"neural":[31],"networks":[32],"(DNNs).":[33],"However,":[34],"hardware":[35,155],"failure,":[36],"such":[37],"stuck-at-fault":[39],"defects,":[40],"is":[41,79,113,166],"one":[42],"main":[45],"concerns":[46],"that":[47],"impedes":[48],"ReRAM":[50],"devices":[51],"be":[53,72],"a":[54,109,121],"feasible":[55],"solution":[56],"for":[57,74,81,175],"real":[58],"implementations.":[59],"The":[60,164],"existing":[61],"solutions":[62],"address":[64],"this":[65,88],"issue":[66],"usually":[67],"require":[68,153,171],"optimization":[70,173],"conducted":[73],"each":[75,176],"individual":[76,177],"device,":[77],"which":[78],"impractical":[80],"mass-produced":[82],"products":[83],"(e.g.,":[84],"IoT":[85],"devices).":[86],"In":[87],"paper,":[89],"we":[90],"rethink":[91],"value":[93],"weight":[95],"pruning":[96],"ReRAM-based":[98],"DNN":[99,145],"design":[100],"from":[101],"perspective":[103],"model":[105],"fault":[106,118,124],"tolerance.":[107],"And":[108],"differential":[110],"mapping":[111,162],"scheme":[112],"proposed":[114],"improve":[116],"tolerance":[119],"under":[120],"high":[122],"stuck-on":[123],"rate.":[125],"Our":[126],"method":[127,142,150],"can":[128],"tolerate":[129],"almost":[130],"order":[132],"magnitude":[134],"higher":[135],"failure":[136],"rate":[137],"than":[138],"traditional":[140,160],"two-column":[141,161],"representative":[144],"tasks.":[146],"More":[147],"importantly,":[148],"our":[149],"does":[151,169],"not":[152,170],"extra":[154],"cost":[156],"compared":[157],"scheme.":[163],"improvement":[165],"universal":[167],"process":[174],"device.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
