{"id":"https://openalex.org/W2798654995","doi":"https://doi.org/10.23919/date.2018.8342199","title":"Design and optimization of FeFET-based crossbars for binary convolution neural networks","display_name":"Design and optimization of FeFET-based crossbars for binary convolution neural networks","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2798654995","doi":"https://doi.org/10.23919/date.2018.8342199","mag":"2798654995"},"language":"en","primary_location":{"id":"doi:10.23919/date.2018.8342199","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Xiaoming Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiaoming Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, IN, USA","State Key Laboratory of Computer Architecture, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"State Key Laboratory of Computer Architecture, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071383109","display_name":"Xunzhao Yin","orcid":"https://orcid.org/0000-0003-4656-9545"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xunzhao Yin","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003032564","display_name":"Michael Niemier","orcid":"https://orcid.org/0000-0001-7776-4306"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Niemier","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600905","display_name":"Xiaobo Sharon Hu","orcid":"https://orcid.org/0000-0002-6636-9738"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaobo Sharon Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1205","last_page":"1210"},"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":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/T10472","display_name":"Semiconductor materials and devices","score":0.9976000189781189,"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/crossbar-switch","display_name":"Crossbar switch","score":0.9248298406600952},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7319307327270508},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5155779719352722},{"id":"https://openalex.org/keywords/non-volatile-memory","display_name":"Non-volatile memory","score":0.49162083864212036},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.4847276210784912},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.45209768414497375},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4158094525337219},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3646063208580017},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.35909152030944824},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3254108428955078},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.3022398352622986},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2950388789176941},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21005019545555115},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12777191400527954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10202991962432861},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09574595093727112}],"concepts":[{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.9248298406600952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319307327270508},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5155779719352722},{"id":"https://openalex.org/C177950962","wikidata":"https://www.wikidata.org/wiki/Q10997658","display_name":"Non-volatile memory","level":2,"score":0.49162083864212036},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.4847276210784912},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.45209768414497375},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4158094525337219},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3646063208580017},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.35909152030944824},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3254108428955078},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.3022398352622986},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2950388789176941},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21005019545555115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12777191400527954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10202991962432861},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09574595093727112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date.2018.8342199","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1542981317","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1902934009","https://openalex.org/W1987850127","https://openalex.org/W1993163906","https://openalex.org/W2013028205","https://openalex.org/W2016106189","https://openalex.org/W2102255233","https://openalex.org/W2116513702","https://openalex.org/W2141546789","https://openalex.org/W2143161037","https://openalex.org/W2248832573","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2342750693","https://openalex.org/W2407647853","https://openalex.org/W2408724663","https://openalex.org/W2492987453","https://openalex.org/W2508602506","https://openalex.org/W2515432102","https://openalex.org/W2537444166","https://openalex.org/W2583357209","https://openalex.org/W2585407525","https://openalex.org/W2588666075","https://openalex.org/W2603636614","https://openalex.org/W2613103714","https://openalex.org/W2613205562","https://openalex.org/W2620977911","https://openalex.org/W2627034335","https://openalex.org/W2949117887","https://openalex.org/W2963114950","https://openalex.org/W6639703010","https://openalex.org/W6675347859","https://openalex.org/W6698200048","https://openalex.org/W6733449940"],"related_works":["https://openalex.org/W2145932742","https://openalex.org/W1874409533","https://openalex.org/W2554791727","https://openalex.org/W1981395029","https://openalex.org/W2108083791","https://openalex.org/W4250137794","https://openalex.org/W2063341228","https://openalex.org/W2111673944","https://openalex.org/W53242602","https://openalex.org/W2113742827"],"abstract_inverted_index":{"Binary":[0],"convolution":[1,150],"neural":[2],"networks":[3],"(CNNs)":[4],"have":[5,25],"attracted":[6],"much":[7],"attention":[8],"for":[9,32,66,171,177],"embedded":[10],"applications":[11],"due":[12],"to":[13,28,58,61,70,144,161],"low":[14],"hardware":[15],"cost":[16],"and":[17,85,93,117,119,124,158],"acceptable":[18],"accuracy.":[19],"Nonvolatile,":[20],"resistive":[21],"random-access":[22],"memories":[23],"(RRAMs)":[24],"been":[26],"adopted":[27],"build":[29,59],"crossbar":[30,107,138,163,179],"accelerators":[31],"binary":[33,67],"CNNs.":[34,68],"However,":[35],"RRAMs":[36],"still":[37],"face":[38],"fundamental":[39],"challenges":[40],"such":[41,89],"as":[42,79],"sneak":[43],"paths,":[44],"high":[45],"write":[46,92,113],"energy,":[47],"etc.":[48],"We":[49,126,165],"exploit":[50],"another":[51],"emerging":[52],"nonvolatile":[53,82],"device-ferroelectric":[54],"field-effect":[55],"transistor":[56,73],"(FeFET),":[57],"crossbars":[60],"improve":[62],"the":[63,71,146,156,162],"energy":[64],"efficiency":[65],"Due":[69],"three-terminal":[72],"structure,":[74],"an":[75,129],"FeFET":[76],"can":[77,96],"function":[78],"both":[80,91],"a":[81,86,137,167],"storage":[83],"element":[84],"controllable":[87],"switch,":[88],"that":[90,102,174],"read":[94,120],"power":[95,114,121],"be":[97],"reduced.":[98],"Simulation":[99],"results":[100],"demonstrate":[101],"compared":[103],"with":[104],"two":[105],"RRAM-based":[106],"structures,":[108],"our":[109],"FeFET-based":[110],"design":[111],"improves":[112],"by":[115,122],"5600\u00d7":[116],"3950\u00d7,":[118],"4.1\u00d7":[123],"3.1\u00d7.":[125],"also":[127],"tackle":[128],"important":[130],"challenge":[131],"in":[132],"crossbar-based":[133],"CNN":[134],"accelerators:":[135],"when":[136],"array":[139],"is":[140,175],"not":[141],"large":[142],"enough":[143],"hold":[145],"weights":[147],"of":[148],"one":[149],"layer,":[151],"how":[152],"do":[153],"we":[154],"partition":[155],"workload":[157],"map":[159],"computations":[160],"array?":[164],"introduce":[166],"hardware-software":[168],"co-optimization":[169],"solution":[170],"this":[172],"problem":[173],"universal":[176],"any":[178],"accelerators.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}