{"id":"https://openalex.org/W4281289797","doi":"https://doi.org/10.1002/aisy.202200029","title":"Tolerating Noise Effects in Processing\u2010in\u2010Memory Systems for Neural Networks: A Hardware\u2013Software Codesign Perspective","display_name":"Tolerating Noise Effects in Processing\u2010in\u2010Memory Systems for Neural Networks: A Hardware\u2013Software Codesign Perspective","publication_year":2022,"publication_date":"2022-05-22","ids":{"openalex":"https://openalex.org/W4281289797","doi":"https://doi.org/10.1002/aisy.202200029"},"language":"en","primary_location":{"id":"doi:10.1002/aisy.202200029","is_oa":true,"landing_page_url":"https://doi.org/10.1002/aisy.202200029","pdf_url":null,"source":{"id":"https://openalex.org/S4210212817","display_name":"Advanced Intelligent Systems","issn_l":"2640-4567","issn":["2640-4567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1002/aisy.202200029","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080236384","display_name":"Xiaoxuan Yang","orcid":"https://orcid.org/0000-0002-2553-2631"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaoxuan Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering Duke University  Durham NC 27708 USA","Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708 USA"],"raw_orcid":"https://orcid.org/0000-0002-2553-2631","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Duke University  Durham NC 27708 USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708 USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043663600","display_name":"Changming Wu","orcid":"https://orcid.org/0000-0002-8901-6900"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changming Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering University of Washington  Seattle WA 98\u2009195 USA","Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98 195 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering University of Washington  Seattle WA 98\u2009195 USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98 195 USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361457","display_name":"Mo Li","orcid":"https://orcid.org/0000-0002-5500-0900"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mo Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering University of Washington  Seattle WA 98\u2009195 USA","Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98 195 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering University of Washington  Seattle WA 98\u2009195 USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98 195 USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering Duke University  Durham NC 27708 USA","Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708 USA"],"raw_orcid":"https://orcid.org/0000-0002-1486-8412","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Duke University  Durham NC 27708 USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708 USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058073627","https://openalex.org/A5080236384"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":{"value":3190,"currency":"USD","value_usd":3190},"fwci":1.4878,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.80946329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"4","issue":"8","first_page":null,"last_page":null},"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/T10472","display_name":"Semiconductor materials and devices","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7704871892929077},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6210151314735413},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5347354412078857},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.49607953429222107},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.49305030703544617},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49000635743141174},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.46334370970726013},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4369467496871948},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.42387276887893677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34122613072395325},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11209839582443237},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10277450084686279}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7704871892929077},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6210151314735413},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5347354412078857},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.49607953429222107},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.49305030703544617},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49000635743141174},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.46334370970726013},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4369467496871948},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.42387276887893677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34122613072395325},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11209839582443237},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10277450084686279},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1002/aisy.202200029","is_oa":true,"landing_page_url":"https://doi.org/10.1002/aisy.202200029","pdf_url":null,"source":{"id":"https://openalex.org/S4210212817","display_name":"Advanced Intelligent Systems","issn_l":"2640-4567","issn":["2640-4567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ba2b9cf2fea944d8874e36998bbefed9","is_oa":false,"landing_page_url":"https://doaj.org/article/ba2b9cf2fea944d8874e36998bbefed9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advanced Intelligent Systems, Vol 4, Iss 8, Pp n/a-n/a (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1002/aisy.202200029","is_oa":true,"landing_page_url":"https://doi.org/10.1002/aisy.202200029","pdf_url":null,"source":{"id":"https://openalex.org/S4210212817","display_name":"Advanced Intelligent Systems","issn_l":"2640-4567","issn":["2640-4567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2756207379","display_name":null,"funder_award_id":"N00014-17-1-2661","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2830078906","display_name":null,"funder_award_id":"W911NF-19-2-0107","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8279183885","display_name":"Collaborative Research: CNS Core: Medium: Exploiting Synergies Between Machine-Learning Algorithms and Hardware Heterogeneity for High-Performance and Reliable Manycore Computing","funder_award_id":"1955196","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1636374761","https://openalex.org/W2014402164","https://openalex.org/W2021383442","https://openalex.org/W2138182818","https://openalex.org/W2288968760","https://openalex.org/W2307193480","https://openalex.org/W2518281301","https://openalex.org/W2570800627","https://openalex.org/W2591601611","https://openalex.org/W2765081478","https://openalex.org/W2777639606","https://openalex.org/W2778345336","https://openalex.org/W2797501353","https://openalex.org/W2889463071","https://openalex.org/W2952429406","https://openalex.org/W2954142406","https://openalex.org/W2967433097","https://openalex.org/W2998161546","https://openalex.org/W3003821665","https://openalex.org/W3006082619","https://openalex.org/W3008608336","https://openalex.org/W3026786299","https://openalex.org/W3027609774","https://openalex.org/W3039421657","https://openalex.org/W3099073033","https://openalex.org/W3105270833","https://openalex.org/W3106434936","https://openalex.org/W3119774682","https://openalex.org/W3169681048","https://openalex.org/W3215148823","https://openalex.org/W4200149283","https://openalex.org/W4210678178","https://openalex.org/W4214871172","https://openalex.org/W4240049217","https://openalex.org/W4251342985"],"related_works":["https://openalex.org/W2054635671","https://openalex.org/W2545245183","https://openalex.org/W2350916061","https://openalex.org/W1970117475","https://openalex.org/W3161624601","https://openalex.org/W2078381924","https://openalex.org/W4298011929","https://openalex.org/W2626667124","https://openalex.org/W4206468571","https://openalex.org/W1942251340"],"abstract_inverted_index":{"Neural":[0],"networks":[1,27,46,162],"have":[2,32],"been":[3],"widely":[4],"used":[5],"for":[6,41,111,130,159],"advanced":[7],"tasks":[8],"from":[9,69,123],"image":[10],"recognition":[11],"to":[12,107],"natural":[13],"language":[14],"processing.":[15],"Many":[16],"recent":[17],"works":[18],"focus":[19],"on":[20,134],"improving":[21],"the":[22,52,65,70,79,89,104],"efficiency":[23],"of":[24,74],"executing":[25],"neural":[26,45,165],"in":[28,64,86,98,116,156],"diverse":[29],"applications.":[30],"Researchers":[31],"advocated":[33],"processing\u2010in\u2010memory":[34],"(PIM)":[35],"architecture":[36],"as":[37],"a":[38,124],"promising":[39],"candidate":[40],"training":[42,88,113],"and":[43,57,78,91,114,119,142,163],"testing":[44],"because":[47],"PIM":[48,66,117,131,157],"design":[49],"can":[50],"reduce":[51],"communication":[53],"cost":[54],"between":[55],"storage":[56],"computing":[58],"units.":[59],"However,":[60],"there":[61],"exist":[62],"noises":[63,83],"system":[67],"generated":[68],"intrinsic":[71],"physical":[72,164],"properties":[73],"both":[75,112],"memory":[76,137],"devices":[77],"peripheral":[80],"circuits.":[81],"The":[82],"introduce":[84],"challenges":[85],"stably":[87],"systems":[90,118,132,158],"achieving":[92],"high":[93],"test":[94],"performance,":[95],"e.g.,":[96],"accuracy":[97],"classification":[99],"tasks.":[100],"This":[101],"review":[102],"discusses":[103],"current":[105],"approaches":[106],"tolerating":[108],"noise":[109],"effects":[110],"inference":[115],"provides":[120],"an":[121],"analysis":[122],"hardware\u2013software":[125],"codesign":[126],"perspective.":[127],"Noise\u2010tolerant":[128],"strategies":[129],"based":[133],"resistive":[135],"random\u2010access":[136],"(ReRAM),":[138],"including":[139],"circuit\u2010level,":[140],"algorithm\u2010level,":[141],"system\u2010level":[143],"solutions":[144],"are":[145],"explained.":[146],"In":[147],"addition,":[148],"we":[149],"also":[150],"present":[151],"some":[152],"selected":[153],"noise\u2010tolerate":[154],"cases":[155],"generative":[160],"adversarial":[161],"networks.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
