{"id":"https://openalex.org/W2787785393","doi":"https://doi.org/10.1109/apsipa.2017.8282183","title":"Accelerating deep learning by binarized hardware","display_name":"Accelerating deep learning by binarized hardware","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2787785393","doi":"https://doi.org/10.1109/apsipa.2017.8282183","mag":"2787785393"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2017.8282183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5059694753","display_name":"Shinya Takamaeda-Yamazaki","orcid":"https://orcid.org/0000-0003-3441-1695"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shinya Takamaeda-Yamazaki","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039778879","display_name":"Kodai Ueyoshi","orcid":"https://orcid.org/0000-0002-9212-4953"},"institutions":[{"id":"https://openalex.org/I104234503","display_name":"Hokkaido University of Science","ror":"https://ror.org/05gqsa340","country_code":"JP","type":"education","lineage":["https://openalex.org/I104234503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kodai Ueyoshi","raw_affiliation_strings":["Hokkaido Daigaku, Sapporo, Hokkaido, JP"],"affiliations":[{"raw_affiliation_string":"Hokkaido Daigaku, Sapporo, Hokkaido, JP","institution_ids":["https://openalex.org/I104234503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053230100","display_name":"Kota Ando","orcid":"https://orcid.org/0000-0001-8648-3768"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kota Ando","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008446767","display_name":"Ryota Uematsu","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryota Uematsu","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035394981","display_name":"Kazutoshi Hirose","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazutoshi Hirose","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086631960","display_name":"Masayuki Ikebe","orcid":"https://orcid.org/0000-0002-6770-8260"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Ikebe","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080170293","display_name":"Tetsuya Asai","orcid":"https://orcid.org/0000-0003-1158-9810"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Asai","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089388923","display_name":"Masato Motomura","orcid":"https://orcid.org/0000-0003-1543-1252"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Motomura","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5059694753"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5984287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs 1602 2830","issue":null,"first_page":"1045","last_page":"1051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"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/T10320","display_name":"Neural Networks and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7973021268844604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7443597316741943},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.711173951625824},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6192448735237122},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5706830024719238},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.535329282283783},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5347192883491516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4793863296508789},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4590948522090912},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.43662041425704956},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4211004972457886},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4095078706741333},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4073014259338379},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10397931933403015}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7973021268844604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7443597316741943},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.711173951625824},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6192448735237122},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5706830024719238},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.535329282283783},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5347192883491516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4793863296508789},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4590948522090912},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.43662041425704956},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4211004972457886},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4095078706741333},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4073014259338379},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10397931933403015},{"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},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2017.8282183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"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":[{"id":"https://openalex.org/F4320338113","display_name":"Accelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact Values","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2094756095","https://openalex.org/W2260663238","https://openalex.org/W2289252105","https://openalex.org/W2295680811","https://openalex.org/W2368124317","https://openalex.org/W2593564159","https://openalex.org/W2594492285","https://openalex.org/W2606722458","https://openalex.org/W2735472566","https://openalex.org/W2745228312","https://openalex.org/W2760618536","https://openalex.org/W3024621361","https://openalex.org/W6692521979","https://openalex.org/W7039610923"],"related_works":["https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W1608572506","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W2979433843","https://openalex.org/W3208304128"],"abstract_inverted_index":{"Hardware-oriented":[0],"approaches":[1],"to":[2,69],"accelerate":[3],"deep":[4,51],"neural":[5,27,40,52,81],"network":[6,28,41,82],"processing":[7,57],"are":[8],"very":[9,96],"important":[10],"for":[11,25,36,50,79],"various":[12],"embedded":[13],"intelligent":[14],"applications.":[15],"This":[16],"paper":[17],"is":[18],"a":[19],"summary":[20],"of":[21],"our":[22],"recent":[23],"achievements":[24],"efficient":[26],"processing.":[29],"We":[30,43,72],"focus":[31],"on":[32,84],"the":[33,92,105],"binarization":[34],"approach":[35],"energy-":[37],"and":[38,66],"area-efficient":[39],"processor.":[42],"first":[44],"present":[45,74],"an":[46,75,85],"energy-efficient":[47],"binarized":[48,80,93],"processor":[49,61,83],"networks":[53],"by":[54,99],"employing":[55],"inmemory":[56],"architecture.":[58],"The":[59,87],"real":[60],"LSI":[62],"achieves":[63,95],"high":[64,97],"performance":[65,98],"energy-efficiency":[67],"compared":[68],"prior":[70],"works.":[71],"then":[73],"architecture":[76],"exploration":[77,88],"technique":[78],"FPGA.":[86],"result":[89],"indicates":[90],"that":[91],"hardware":[94],"exploiting":[100],"multiple":[101],"different":[102],"parallelisms":[103],"at":[104],"same":[106],"time.":[107]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}