{"id":"https://openalex.org/W4382568025","doi":"https://doi.org/10.1109/tc.2023.3288763","title":"Enabling High-Efficient ReRAM-Based CNN Training Via Exploiting Crossbar-Level Insignificant Writing Elimination","display_name":"Enabling High-Efficient ReRAM-Based CNN Training Via Exploiting Crossbar-Level Insignificant Writing Elimination","publication_year":2023,"publication_date":"2023-06-29","ids":{"openalex":"https://openalex.org/W4382568025","doi":"https://doi.org/10.1109/tc.2023.3288763"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2023.3288763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2023.3288763","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"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 Computers","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/A5024150524","display_name":"Lening Wang","orcid":"https://orcid.org/0000-0001-7717-1199"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lening Wang","raw_affiliation_strings":["Department of Electrical Engineering, University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056956005","display_name":"Qiyu Wan","orcid":"https://orcid.org/0000-0001-8529-5175"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiyu Wan","raw_affiliation_strings":["Department of Electrical Engineering, University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101218651","display_name":"Peixun Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I96478251","display_name":"Hunan Institute of Technology","ror":"https://ror.org/04n3k2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I96478251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixun Ma","raw_affiliation_strings":["Ecological Livable College, Hunan Polytechnic of Environment and Biology, Hengyang, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Ecological Livable College, Hunan Polytechnic of Environment and Biology, Hengyang, Hunan, China","institution_ids":["https://openalex.org/I96478251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378697","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0003-3653-7013"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112949014","display_name":"Minsong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minsong Chen","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043209884","display_name":"Shuaiwen Leon Song","orcid":"https://orcid.org/0000-0002-8402-1436"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shuaiwen Leon Song","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016298390","display_name":"Xin Fu","orcid":"https://orcid.org/0000-0002-9458-4769"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Fu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5024150524"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.4016,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59304314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"72","issue":"11","first_page":"3218","last_page":"3230"},"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":0.9976999759674072,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8944017887115479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6029525399208069},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5908893942832947},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.54768967628479},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4746571183204651},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44007304310798645},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.29713305830955505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.258292019367218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2035847306251526},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11935368180274963},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07813212275505066}],"concepts":[{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.8944017887115479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6029525399208069},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5908893942832947},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.54768967628479},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4746571183204651},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44007304310798645},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.29713305830955505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.258292019367218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2035847306251526},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11935368180274963},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07813212275505066},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.2023.3288763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2023.3288763","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"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 Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5699999928474426,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1841592590","https://openalex.org/W2010202670","https://openalex.org/W2020003503","https://openalex.org/W2026883296","https://openalex.org/W2033811947","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2124136621","https://openalex.org/W2145249131","https://openalex.org/W2164819109","https://openalex.org/W2194775991","https://openalex.org/W2342840547","https://openalex.org/W2508602506","https://openalex.org/W2518281301","https://openalex.org/W2613989746","https://openalex.org/W2618530766","https://openalex.org/W2753463544","https://openalex.org/W2772681688","https://openalex.org/W2777126322","https://openalex.org/W2789876780","https://openalex.org/W2796472956","https://openalex.org/W2805003733","https://openalex.org/W2807862495","https://openalex.org/W2883920103","https://openalex.org/W2920081941","https://openalex.org/W2949674408","https://openalex.org/W2949866178","https://openalex.org/W2950656546","https://openalex.org/W2962761403","https://openalex.org/W3019223987","https://openalex.org/W3021291375","https://openalex.org/W3031771821","https://openalex.org/W3035718760","https://openalex.org/W3090287616","https://openalex.org/W3092357178","https://openalex.org/W3102587717","https://openalex.org/W3105802176","https://openalex.org/W3107472389","https://openalex.org/W3118608800","https://openalex.org/W3132616766","https://openalex.org/W4232634182","https://openalex.org/W4297785866","https://openalex.org/W6637373629","https://openalex.org/W6638783484","https://openalex.org/W6704559304","https://openalex.org/W6751979845","https://openalex.org/W6752732684","https://openalex.org/W6770936772","https://openalex.org/W6776676535","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2317245370","https://openalex.org/W4249323025","https://openalex.org/W198851386","https://openalex.org/W1980160788","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W2148915962","https://openalex.org/W4313433561","https://openalex.org/W2283866686","https://openalex.org/W2948365806"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4],"been":[5],"widely":[6],"adopted":[7],"in":[8,38,107,121],"many":[9],"deep":[10,16],"learning":[11],"applications.":[12],"However,":[13,50],"training":[14,51,94,136,140],"a":[15,104],"CNN":[17,135],"requests":[18],"intensive":[19],"data":[20,36,48,109],"transfer,":[21],"which":[22],"is":[23,40],"both":[24],"time":[25],"and":[26,65,74,86,102,112,159],"energy":[27,95,157],"consuming.":[28],"Using":[29],"resistive":[30],"random-access":[31],"memory":[32,39],"(ReRAM)":[33],"to":[34,44,124,168,183],"process":[35],"locally":[37],"an":[41],"emerging":[42],"solution":[43],"eliminate":[45,126],"the":[46,63,71,93,117,127,139,169,184],"massive":[47],"movement.":[49],"cannot":[52],"be":[53],"efficiently":[54],"supported":[55],"with":[56],"current":[57],"ReRAM-based":[58,97,171],"PIM":[59],"accelerators":[60],"because":[61],"of":[62],"frequent":[64],"high-cost":[66],"ReRAM":[67,75,122,129,186],"writing":[68,90],"operations":[69,91],"from":[70],"delay,":[72],"energy,":[73],"lifetime":[76,180],"perspectives.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81],"observe":[82],"that":[83,115],"activation":[84],"induced":[85,89],"weight":[87],"updating":[88],"dominate":[92],"on":[96],"accelerators.":[98],"We":[99],"then":[100],"exploit":[101],"leverage":[103],"new":[105],"angle":[106],"intermediate":[108],"(e.g.,":[110],"activations":[111],"errors)":[113],"sparsity":[114],"fits":[116],"unique":[118],"computation":[119],"pattern":[120],"crossbars":[123],"effectively":[125],"insignificant":[128],"writings,":[130],"thus,":[131],"enabling":[132],"highly":[133],"efficient":[134],"without":[137],"hurting":[138],"accuracy.":[141],"The":[142],"experiment":[143],"results":[144],"show":[145],"our":[146],"proposed":[147],"scheme":[148,175],"achieves":[149,177],"averagely":[150],"<inline-formula><tex-math":[151,154,160,163,178],"notation=\"LaTeX\">$4.97\\times$</tex-math></inline-formula>":[152],"(":[153,162],"notation=\"LaTeX\">$19.23\\times$</tex-math></inline-formula>":[155],")":[156,165],"saving":[158],"notation=\"LaTeX\">$1.38\\times$</tex-math></inline-formula>":[161],"notation=\"LaTeX\">$30.08\\times$</tex-math></inline-formula>":[164],"speedup":[166],"compared":[167,182],"state-of-the-art":[170,185],"accelerator":[172],"(GPU).":[173],"Our":[174],"also":[176],"notation=\"LaTeX\">$4.55\\times$</tex-math></inline-formula>":[179],"enhancement":[181],"accelerator.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
