{"id":"https://openalex.org/W4391183709","doi":"https://doi.org/10.1109/asicon58565.2023.10396560","title":"Mitigating Non-ideality Issues of Analog Computing-In-Memory in DNN-based designs","display_name":"Mitigating Non-ideality Issues of Analog Computing-In-Memory in DNN-based designs","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4391183709","doi":"https://doi.org/10.1109/asicon58565.2023.10396560"},"language":"en","primary_location":{"id":"doi:10.1109/asicon58565.2023.10396560","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/asicon58565.2023.10396560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","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/A5067996741","display_name":"Chi-Tse Huang","orcid":"https://orcid.org/0000-0003-0393-3976"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chi-Tse Huang","raw_affiliation_strings":["National Taiwan University,Graduate Institute of Electronics Engineering,Taipei,Taiwan","Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Graduate Institute of Electronics Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109465340","display_name":"An-Yeu Wu","orcid":"https://orcid.org/0000-0003-4731-8633"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"An-Yeu Andy Wu","raw_affiliation_strings":["National Taiwan University,Graduate Institute of Electronics Engineering,Taipei,Taiwan","Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Graduate Institute of Electronics Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067996741"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18372649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10472","display_name":"Semiconductor materials and devices","score":0.9962999820709229,"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":0.7984414100646973},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6518380641937256},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5605049729347229},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5470463037490845},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.49958038330078125},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.35738396644592285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29191261529922485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7984414100646973},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6518380641937256},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5605049729347229},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5470463037490845},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.49958038330078125},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.35738396644592285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29191261529922485},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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":1,"locations":[{"id":"doi:10.1109/asicon58565.2023.10396560","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/asicon58565.2023.10396560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2289252105","https://openalex.org/W2525778437","https://openalex.org/W2735872091","https://openalex.org/W2748528844","https://openalex.org/W2936443718","https://openalex.org/W2946047477","https://openalex.org/W2966199719","https://openalex.org/W2969812992","https://openalex.org/W2983353765","https://openalex.org/W3013080934","https://openalex.org/W3015432327","https://openalex.org/W3015887053","https://openalex.org/W3015982917","https://openalex.org/W3016542674","https://openalex.org/W3016762888","https://openalex.org/W3018945530","https://openalex.org/W3099871312","https://openalex.org/W3112740243","https://openalex.org/W3161584439","https://openalex.org/W3175345297","https://openalex.org/W4214638786","https://openalex.org/W4226313376","https://openalex.org/W4226427756","https://openalex.org/W4312457094","https://openalex.org/W4360606474","https://openalex.org/W4386765260","https://openalex.org/W6727690538"],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W2847365777","https://openalex.org/W3128025644","https://openalex.org/W2355048207","https://openalex.org/W2750422482","https://openalex.org/W3125827053","https://openalex.org/W4249307902","https://openalex.org/W3013241373"],"abstract_inverted_index":{"Analog":[0],"Computing-in-memory":[1],"(ACIM)":[2],"has":[3,115],"emerged":[4],"as":[5],"a":[6,108,145],"promising":[7],"approach":[8],"to":[9,66],"enhance":[10],"energy":[11,55],"efficiency":[12],"and":[13,28,56,70,89,137,155,162],"throughput":[14],"in":[15,74,77,118,144],"matrix-vector":[16],"multiplications":[17],"(MVMs)":[18],"for":[19,120],"deep":[20],"neural":[21],"network":[22],"(DNN)":[23],"applications.":[24],"Albeit":[25],"low-power":[26],"features":[27],"high":[29],"parallelism":[30],"of":[31,84,123,140],"ACIM,":[32],"the":[33,68,82,96,105,134,149,160],"non-ideality":[34,85],"arising":[35],"from":[36],"process":[37],"variation":[38],"hampers":[39],"classification":[40],"accuracy.":[41],"To":[42],"address":[43],"this":[44],"issue,":[45],"conventional":[46],"circuit-level":[47],"methods":[48],"augment":[49],"more":[50],"circuit":[51],"resources,":[52],"which":[53],"sacrifices":[54],"area":[57],"efficiency.":[58,102],"Alternatively,":[59],"various":[60,141],"non-ideality-aware":[61,142],"frameworks":[62,143],"have":[63],"been":[64,116],"proposed":[65],"leverage":[67],"redundancies":[69],"error":[71],"tolerance":[72],"inherent":[73],"DNN-based":[75],"designs":[76],"recent":[78],"years;":[79],"i.e.,":[80],"mitigating":[81],"impact":[83],"at":[86,104],"both":[87],"algorithm":[88],"architecture":[90,106],"levels.":[91],"The":[92],"algorithmic":[93],"innovations":[94],"improve":[95],"accuracy":[97],"while":[98],"maintaining":[99],"its":[100],"computational":[101],"Moreover,":[103],"level,":[107],"sequential":[109],"but":[110],"error-free":[111],"near-memory-computing":[112],"(NMC)":[113],"mode":[114],"introduced":[117],"ACIM":[119],"flexible":[121],"adjustment":[122],"computing":[124],"reliability":[125],"based":[126],"on":[127],"different":[128],"application":[129],"scenarios.":[130],"This":[131],"paper":[132,161],"presents":[133],"design":[135],"challenges":[136],"foundational":[138],"concepts":[139],"comprehensive":[146],"way.":[147],"Besides,":[148],"representative":[150],"related":[151],"works":[152],"are":[153],"reviewed":[154],"summarized.":[156],"Finally,":[157],"we":[158],"conclude":[159],"point":[163],"out":[164],"future":[165],"works.":[166]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
