{"id":"https://openalex.org/W2942566099","doi":"https://doi.org/10.1109/iscas.2019.8702226","title":"Analysis of Circuit Aging on Accuracy Degradation of Deep Neural Network Accelerator","display_name":"Analysis of Circuit Aging on Accuracy Degradation of Deep Neural Network Accelerator","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2942566099","doi":"https://doi.org/10.1109/iscas.2019.8702226","mag":"2942566099"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2019.8702226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/136843/2/PID5778603.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000387478","display_name":"Wenye Liu","orcid":"https://orcid.org/0000-0003-4590-5367"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wenye Liu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029335324","display_name":"Chip-Hong Chang","orcid":"https://orcid.org/0000-0002-8897-6176"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chip-Hong Chang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2422,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.54009363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"521","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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":0.9994999766349792,"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":0.9991000294685364,"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":0.7618635892868042},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7372444272041321},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.619117796421051},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.553991436958313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5023050308227539},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47169995307922363},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.46649882197380066},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.44789111614227295},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.43618059158325195},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.41943663358688354},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34683310985565186},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.327043354511261},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32272210717201233},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.20108726620674133},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.12914562225341797},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10557210445404053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7618635892868042},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7372444272041321},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.619117796421051},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.553991436958313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5023050308227539},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47169995307922363},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.46649882197380066},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.44789111614227295},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.43618059158325195},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.41943663358688354},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34683310985565186},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.327043354511261},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32272210717201233},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.20108726620674133},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.12914562225341797},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10557210445404053},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":2,"locations":[{"id":"doi:10.1109/iscas.2019.8702226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/136843","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/136843","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/136843/2/PID5778603.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/136843","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/136843","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/136843/2/PID5778603.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2942566099.pdf","grobid_xml":"https://content.openalex.org/works/W2942566099.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1991431227","https://openalex.org/W2108598243","https://openalex.org/W2119144962","https://openalex.org/W2122507955","https://openalex.org/W2134132903","https://openalex.org/W2134869654","https://openalex.org/W2163605009","https://openalex.org/W2170333286","https://openalex.org/W2285660444","https://openalex.org/W2337344472","https://openalex.org/W2344193394","https://openalex.org/W2565960208","https://openalex.org/W2592389822","https://openalex.org/W2593564159","https://openalex.org/W2604319603","https://openalex.org/W2744073901","https://openalex.org/W2795915628","https://openalex.org/W2802331610","https://openalex.org/W2919115771","https://openalex.org/W2963893493","https://openalex.org/W2964299589","https://openalex.org/W3024621361","https://openalex.org/W3143610959","https://openalex.org/W3146062159","https://openalex.org/W6637373629","https://openalex.org/W6648088779","https://openalex.org/W6677580257","https://openalex.org/W6684191040","https://openalex.org/W6703414193"],"related_works":["https://openalex.org/W3014521742","https://openalex.org/W2111241003","https://openalex.org/W2355315220","https://openalex.org/W2617868873","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W3204141294","https://openalex.org/W2316202402","https://openalex.org/W2518118925","https://openalex.org/W3159273459"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"have":[3,38],"achieved":[4,66],"phenomenal":[5],"successes":[6],"in":[7,18,80,121],"vision":[8],"recognition":[9],"tasks,":[10],"which":[11],"motivate":[12],"the":[13,26,42,51,85,90,97,112,117,127,135,139,176,182,198],"deployment":[14],"of":[15,29,53,107,114,141,147,173,178,184,192,200],"deep":[16,86,148],"learning":[17,87,149],"portable":[19],"and":[20,31,44,73,175],"smart":[21],"wearable":[22],"devices.":[23],"To":[24],"overcome":[25],"fundamental":[27],"challenges":[28],"power":[30,57],"resource":[32],"limitation,":[33],"application-specific":[34],"integrated":[35],"circuit":[36,108,142],"accelerators":[37,124],"emerged":[39],"to":[40,49,89,102,137,166],"compact":[41],"model":[43],"use":[45],"lower":[46],"precision":[47],"arithmetic":[48],"increase":[50],"throughput":[52,161,193],"computation":[54],"with":[55,181],"reduced":[56],"consumption.":[58],"Although":[59],"very":[60],"high":[61],"energy":[62],"efficiency":[63],"has":[64],"been":[65],"by":[67,111,126],"removing":[68],"redundant":[69],"weights,":[70],"compressing":[71],"data":[72],"even":[74],"sacrificing":[75],"timing":[76],"margin,":[77],"such":[78],"trend":[79],"hardware":[81],"acceleration":[82],"that":[83,154,190],"pushes":[84],"systems":[88],"error":[91],"threshold":[92],"can":[93,163,195],"be":[94],"disastrous":[95],"for":[96],"tasks":[98],"they":[99],"performed":[100],"due":[101],"failure":[103],"or":[104],"degraded":[105],"performance":[106,145],"components.":[109],"Concerned":[110],"lack":[113],"attention":[115],"on":[116,144],"evolving":[118],"unreliability":[119],"effects":[120],"artificial":[122],"intelligent":[123],"implemented":[125],"continuously":[128],"scaled":[129],"CMOS":[130],"technology,":[131],"this":[132],"paper":[133],"is":[134,187],"first":[136],"evaluate":[138],"effect":[140],"aging":[143,174],"degradation":[146],"accelerator.":[150],"Our":[151],"findings":[152],"indicate":[153],"DNN":[155],"system":[156],"running":[157],"at":[158],"their":[159],"peak":[160],"rate":[162,194],"experience":[164],"up":[165],"84%":[167],"accuracy":[168,202],"drop":[169],"after":[170],"a":[171],"year":[172],"accumulation":[177],"errors":[179],"aggravates":[180],"depth":[183],"learning.":[185],"It":[186],"also":[188],"found":[189],"relaxation":[191],"slow":[196],"down":[197],"loss":[199],"classification":[201],"considerably.":[203]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
