{"id":"https://openalex.org/W2622793937","doi":"https://doi.org/10.1109/vlsi-dat.2017.7939673","title":"Conventional and neuromorphic systems leveraging emerging memory technologies","display_name":"Conventional and neuromorphic systems leveraging emerging memory technologies","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2622793937","doi":"https://doi.org/10.1109/vlsi-dat.2017.7939673","mag":"2622793937"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-dat.2017.7939673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-dat.2017.7939673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5100429403","display_name":"Hai Li","orcid":"https://orcid.org/0000-0003-3228-6544"},"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":"Hai Li","raw_affiliation_strings":["Duke University, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, United States of America","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100429403"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9872999787330627,"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":0.9872999787330627,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.934769332408905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704139232635498},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5706701874732971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23869886994361877},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2018233835697174}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.934769332408905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704139232635498},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5706701874732971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23869886994361877},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2018233835697174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-dat.2017.7939673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-dat.2017.7939673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2951049725","https://openalex.org/W4285308918","https://openalex.org/W2971712727","https://openalex.org/W4387459935","https://openalex.org/W3015991694","https://openalex.org/W2908450434","https://openalex.org/W3193008624","https://openalex.org/W4382561696","https://openalex.org/W2581119583","https://openalex.org/W2895519962"],"abstract_inverted_index":{"As":[0],"big":[1],"data":[2,33],"processing":[3],"becomes":[4],"pervasive":[5],"and":[6,15,41,69,143,167,171,204],"ubiquitous":[7],"in":[8,108,164,169],"our":[9,121],"lives,":[10],"the":[11,53,63,74,80,105,151,179,189,195,201],"desire":[12],"for":[13,20],"embedded-everywhere":[14],"human-centric":[16],"information":[17],"systems":[18,56,156],"calls":[19],"an":[21,118,197],"\u201cintelligent\u201d":[22],"computing":[23,155,173,208],"paradigm":[24],"that":[25,129],"is":[26,47,59],"capable":[27],"of":[28,32,83,120,153,181,191,206],"handling":[29],"large":[30],"volume":[31],"through":[34,52],"massively":[35,92],"parallel":[36,93],"operations":[37],"under":[38],"limited":[39],"hardware":[40],"power":[42,76],"resources.":[43],"This":[44],"demand,":[45],"however,":[46],"unlikely":[48],"to":[49,103],"be":[50,185],"satisfied":[51],"traditional":[54],"computer":[55],"whose":[57],"performance":[58,65],"greatly":[60],"hindered":[61],"by":[62,79,161],"increasing":[64],"gap":[66],"between":[67],"CPU":[68],"memory":[70,126,158],"as":[71,73,135],"well":[72],"fast-growing":[75],"consumption.":[77],"Inspired":[78],"working":[81],"mechanism":[82],"human":[84],"brains,":[85],"a":[86,91,100],"neuromorphic":[87,172],"system":[88],"naturally":[89],"possesses":[90],"architecture":[94],"with":[95,150],"closely":[96],"coupled":[97],"memory,":[98],"offering":[99,194],"great":[101],"opportunity":[102],"break":[104],"\u201cmemory":[106],"wall\u201d":[107],"von":[109],"Neumann":[110],"architecture.":[111],"In":[112],"this":[113,192],"talk,":[114,193],"I":[115],"will":[116,184],"give":[117],"overview":[119],"research":[122,180],"on":[123,157,178],"emerging":[124],"nonvolatile":[125],"(eNVM)":[127],"technologies":[128,183],"feature":[130],"many":[131],"attractive":[132],"characteristics":[133],"such":[134],"non-volatility,":[136],"high":[137],"cell":[138],"density,":[139],"nanosecond":[140],"access":[141],"time":[142],"low":[144],"operation":[145],"voltage.":[146],"The":[147],"talk":[148],"starts":[149],"expectations":[152],"modern":[154,207],"hierarchy,":[159],"followed":[160],"two":[162],"examples":[163],"eNVM":[165,182],"design":[166],"applications":[168],"conventional":[170],"systems,":[174],"respectively.":[175],"Our":[176],"prospects":[177],"also":[186],"given":[187],"at":[188],"end":[190],"audiences":[196],"alternative":[198],"thinking":[199],"about":[200],"future":[202],"evolution":[203],"revolution":[205],"systems.":[209]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
