{"id":"https://openalex.org/W2962679343","doi":"https://doi.org/10.1109/iscas.2018.8351807","title":"Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?","display_name":"Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2962679343","doi":"https://doi.org/10.1109/iscas.2018.8351807","mag":"2962679343"},"language":"en","primary_location":{"id":"pmh:doi:10.3929/ethz-b-000310234","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11850/307904","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"},"type":"article","indexed_in":[],"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/A5030025275","display_name":"Manuele Rusci","orcid":"https://orcid.org/0000-0001-7458-4019"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rusci, Manuele","raw_affiliation_strings":["Energy-Efficient Embedded Systems Laboratory, University of Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Energy-Efficient Embedded Systems Laboratory, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025399641","display_name":"Lukas Cavigelli","orcid":"https://orcid.org/0000-0003-1767-7715"},"institutions":[{"id":"https://openalex.org/I2799323385","display_name":"Board of the Swiss Federal Institutes of Technology","ror":"https://ror.org/01rvn4p91","country_code":"CH","type":"government","lineage":["https://openalex.org/I2799323385"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Cavigelli, Lukas Arno Jakob","raw_affiliation_strings":["Eidgenossische Technische Hochschule Zurich, Zurich, ZH, CH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eidgenossische Technische Hochschule Zurich, Zurich, ZH, CH","institution_ids":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043408422","display_name":"Luca Benini","orcid":"https://orcid.org/0000-0001-8068-3806"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Benini, Luca","raw_affiliation_strings":["ETH, Integrated Systems Laboratory, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH, Integrated Systems Laboratory, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9641,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87453102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9988999962806702,"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":0.9944000244140625,"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/leverage","display_name":"Leverage (statistics)","score":0.6626719832420349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5766637325286865},{"id":"https://openalex.org/keywords/electronic-design-automation","display_name":"Electronic design automation","score":0.5652021765708923},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.54817134141922},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5477719306945801},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.546055793762207},{"id":"https://openalex.org/keywords/combinational-logic","display_name":"Combinational logic","score":0.5389995574951172},{"id":"https://openalex.org/keywords/logic-synthesis","display_name":"Logic synthesis","score":0.44747209548950195},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4425990879535675},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.39875370264053345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3871283531188965},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33387982845306396},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.28627467155456543},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22113823890686035}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6626719832420349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5766637325286865},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.5652021765708923},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.54817134141922},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5477719306945801},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.546055793762207},{"id":"https://openalex.org/C81409106","wikidata":"https://www.wikidata.org/wiki/Q76505","display_name":"Combinational logic","level":3,"score":0.5389995574951172},{"id":"https://openalex.org/C157922185","wikidata":"https://www.wikidata.org/wiki/Q173198","display_name":"Logic synthesis","level":3,"score":0.44747209548950195},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4425990879535675},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.39875370264053345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3871283531188965},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33387982845306396},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.28627467155456543},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22113823890686035},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:doi:10.3929/ethz-b-000310234","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11850/307904","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1990466071","https://openalex.org/W2067523571","https://openalex.org/W2076496703","https://openalex.org/W2117650935","https://openalex.org/W2139336997","https://openalex.org/W2260498192","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2336782289","https://openalex.org/W2473791714","https://openalex.org/W2511743527","https://openalex.org/W2560075705","https://openalex.org/W2565125333","https://openalex.org/W2580425382","https://openalex.org/W2591922920","https://openalex.org/W2604319603","https://openalex.org/W2606822607","https://openalex.org/W2634986976","https://openalex.org/W2742566056","https://openalex.org/W2743095234","https://openalex.org/W2745228312","https://openalex.org/W2963125010","https://openalex.org/W2963145956","https://openalex.org/W2964057022","https://openalex.org/W2964195221","https://openalex.org/W3102169921","https://openalex.org/W4247470470","https://openalex.org/W4294094821","https://openalex.org/W4297665692","https://openalex.org/W4297803145"],"related_works":["https://openalex.org/W4318224782","https://openalex.org/W4230743620","https://openalex.org/W1979269278","https://openalex.org/W4386764873","https://openalex.org/W2001825031","https://openalex.org/W1592424226","https://openalex.org/W2736708202","https://openalex.org/W2151311670","https://openalex.org/W2181841040","https://openalex.org/W14836586"],"abstract_inverted_index":{"Design":[0],"automation":[1],"in":[2,5,14,99],"general,":[3],"and":[4,30,58,61,74,87,124],"particular":[6],"logic":[7],"synthesis,":[8],"can":[9],"play":[10],"a":[11,33,106,114,136,156],"key":[12],"role":[13],"enabling":[15],"the":[16,27,44,72],"design":[17,29,129],"of":[18,32,54,90,109],"application-specific":[19],"Binarized":[20],"Neural":[21],"Networks":[22],"(BNN).":[23],"This":[24,131],"paper":[25],"presents":[26],"hardware":[28],"synthesis":[31,97],"purely":[34],"combinational":[35,94,115],"BNN":[36,49,116],"for":[37,63,112,148],"ultra-low":[38,65],"power":[39,66,86],"near-sensor":[40,151],"processing.":[41],"We":[42,83],"leverage":[43],"major":[45],"opportunities":[46],"raised":[47],"by":[48],"models,":[50],"which":[51],"consist":[52],"mostly":[53],"logical":[55],"bit-wise":[56],"operations":[57],"integer":[59],"counting":[60],"comparisons,":[62],"pushing":[64],"deep":[67,149],"learning":[68,150],"circuits":[69],"close":[70],"to":[71,144],"sensor":[73,81,121],"coupling":[75],"them":[76],"with":[77,117,139],"binarized":[78],"mixed-signal":[79],"image":[80],"data.":[82],"analyze":[84],"area,":[85],"energy":[88,159],"metrics":[89],"BNNs":[91],"synthesized":[92,137],"as":[93],"networks.":[95],"Our":[96],"results":[98],"GlobalFoundries":[100],"22":[101],"nm":[102],"SOI":[103],"technology":[104],"shows":[105],"silicon":[107],"area":[108],"2.61":[110],"mm\u00b2":[111],"implementing":[113],"32\u00d732":[118],"binary":[119],"input":[120],"receptive":[122],"field":[123],"weight":[125],"parameters":[126],"fixed":[127],"at":[128],"time.":[130],"is":[132],"2.2\u00d7":[133],"smaller":[134],"than":[135],"network":[138],"re-configurable":[140],"parameters.":[141],"With":[142],"respect":[143],"other":[145],"comparable":[146],"techniques":[147],"processing,":[152],"our":[153],"approach":[154],"features":[155],"10\u00d7":[157],"higher":[158],"efficiency.":[160]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}