{"id":"https://openalex.org/W2977250065","doi":"https://doi.org/10.1109/mm.2019.2944782","title":"MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge","display_name":"MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge","publication_year":2019,"publication_date":"2019-10-04","ids":{"openalex":"https://openalex.org/W2977250065","doi":"https://doi.org/10.1109/mm.2019.2944782","mag":"2977250065"},"language":"en","primary_location":{"id":"doi:10.1109/mm.2019.2944782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mm.2019.2944782","pdf_url":null,"source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"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 Micro","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/A5102005543","display_name":"Marco Donato","orcid":"https://orcid.org/0000-0002-9354-3447"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Donato","raw_affiliation_strings":["Harvard University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086251333","display_name":"Lillian Pentecost","orcid":"https://orcid.org/0000-0002-6204-1938"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lillian Pentecost","raw_affiliation_strings":["Harvard University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026496503","display_name":"David Brooks","orcid":"https://orcid.org/0000-0002-0662-7889"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Brooks","raw_affiliation_strings":["Harvard University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043327132","display_name":"Gu-Yeon Wei","orcid":"https://orcid.org/0000-0001-5730-9904"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gu-Yeon Wei","raw_affiliation_strings":["Harvard University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9687,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76726741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"39","issue":"6","first_page":"73","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991999864578247,"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":0.8902621865272522},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6434544324874878},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.529158353805542},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5284920930862427},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4610883593559265},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.433566153049469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4201309084892273},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.12239602208137512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8902621865272522},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6434544324874878},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.529158353805542},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5284920930862427},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4610883593559265},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.433566153049469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4201309084892273},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.12239602208137512},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mm.2019.2944782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mm.2019.2944782","pdf_url":null,"source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"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 Micro","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2010202670","https://openalex.org/W2044107168","https://openalex.org/W2149933564","https://openalex.org/W2210364086","https://openalex.org/W2626792426","https://openalex.org/W2787011352","https://openalex.org/W2809555641","https://openalex.org/W2915654079","https://openalex.org/W2962945654","https://openalex.org/W4211087647","https://openalex.org/W4230982788","https://openalex.org/W4288560637","https://openalex.org/W4299518610","https://openalex.org/W6661624909","https://openalex.org/W6682132143","https://openalex.org/W6739811675","https://openalex.org/W6751836886","https://openalex.org/W6759638486"],"related_works":["https://openalex.org/W4300631627","https://openalex.org/W2953238046","https://openalex.org/W2511279186","https://openalex.org/W2963058055","https://openalex.org/W4210999218","https://openalex.org/W4283204791","https://openalex.org/W3092622920","https://openalex.org/W4287685431","https://openalex.org/W3081049475","https://openalex.org/W4293254874"],"abstract_inverted_index":{"The":[0,115],"combination":[1],"of":[2,48,82,98,111],"specialized":[3],"hardware":[4,25],"and":[5,56,62,94],"embedded":[6],"nonvolatile":[7],"memories":[8],"(eNVM)":[9],"holds":[10],"promise":[11],"for":[12,37,79],"energy-efficient":[13],"deep":[14,128],"neural":[15],"network":[16],"(DNN)":[17],"inference":[18,113],"at":[19],"the":[20,45,59,122,125],"edge.":[21],"However,":[22],"integrating":[23,121],"DNN":[24,83,100],"accelerators":[26],"with":[27,124],"eNVMs":[28],"still":[29],"presents":[30],"several":[31],"challenges.":[32],"Multilevel":[33],"programming":[34],"is":[35,118],"desirable":[36],"achieving":[38],"maximal":[39,80],"storage":[40],"density":[41],"on":[42],"chip,":[43],"but":[44],"stochastic":[46],"nature":[47],"eNVM":[49],"writes":[50],"makes":[51],"them":[52],"prone":[53],"to":[54],"errors":[55],"further":[57],"increases":[58],"write":[60],"energy":[61],"latency.":[63],"In":[64],"this":[65],"article,":[66],"we":[67,102],"present":[68],"MEMTI,":[69],"a":[70,75,109],"memory":[71,123],"architecture":[72],"that":[73,91],"leverages":[74],"multitask":[76],"learning":[77,129],"technique":[78],"reuse":[81],"parameters":[84],"across":[85,108],"multiple":[86],"visual":[87,112],"tasks.":[88,114],"We":[89],"show":[90],"by":[92,120],"retraining":[93],"updating":[95],"only":[96],"10%":[97],"all":[99],"parameters,":[101],"can":[103],"achieve":[104],"efficient":[105],"model":[106],"adaptation":[107],"variety":[110],"system":[116],"performance":[117],"evaluated":[119],"open-source":[126],"NVIDIA":[127],"architecture.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}