{"id":"https://openalex.org/W2276058554","doi":"https://doi.org/10.1109/tce.2015.7389812","title":"A neural network accelerator for mobile application processors","display_name":"A neural network accelerator for mobile application processors","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2276058554","doi":"https://doi.org/10.1109/tce.2015.7389812","mag":"2276058554"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2015.7389812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2015.7389812","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","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/A5045551283","display_name":"Doo Young Kim","orcid":"https://orcid.org/0000-0002-6095-5023"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Doo Young Kim","raw_affiliation_strings":["Sungkyunkwan University (SKKU), Suwon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University (SKKU), Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024114682","display_name":"Jin Min Kim","orcid":"https://orcid.org/0000-0002-1894-9551"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Min Kim","raw_affiliation_strings":["Samsung Electronics, Yongin, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063686935","display_name":"Hakbeom Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hakbeom Jang","raw_affiliation_strings":["Sungkyunkwan University (SKKU), Suwon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University (SKKU), Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055351043","display_name":"Jinkyu Jeong","orcid":"https://orcid.org/0000-0002-4905-9244"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinkyu Jeong","raw_affiliation_strings":["Sungkyunkwan University (SKKU), Suwon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University (SKKU), Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100415738","display_name":"Jae Wook Lee","orcid":"https://orcid.org/0000-0002-8756-0195"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae W. Lee","raw_affiliation_strings":["Sungkyunkwan University (SKKU), Suwon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University (SKKU), Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9354,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86491524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"61","issue":"4","first_page":"555","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9968000054359436,"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":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8304202556610107},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6547089219093323},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5266839265823364},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.514991819858551},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5073668360710144},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4697604179382324},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.45426884293556213},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4404894709587097},{"id":"https://openalex.org/keywords/data-parallelism","display_name":"Data parallelism","score":0.41221609711647034},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3969908356666565},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.377225399017334},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.33174651861190796},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.25496017932891846},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.2523106336593628},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15406641364097595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14696481823921204},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0861596167087555},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08049851655960083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8304202556610107},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6547089219093323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5266839265823364},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.514991819858551},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5073668360710144},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4697604179382324},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.45426884293556213},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4404894709587097},{"id":"https://openalex.org/C61483411","wikidata":"https://www.wikidata.org/wiki/Q3124522","display_name":"Data parallelism","level":3,"score":0.41221609711647034},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3969908356666565},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.377225399017334},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.33174651861190796},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.25496017932891846},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.2523106336593628},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15406641364097595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14696481823921204},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0861596167087555},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08049851655960083},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2015.7389812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2015.7389812","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"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":27,"referenced_works":["https://openalex.org/W1492552760","https://openalex.org/W1986613085","https://openalex.org/W1993882792","https://openalex.org/W1998917233","https://openalex.org/W1999982895","https://openalex.org/W2014620461","https://openalex.org/W2020217519","https://openalex.org/W2030408633","https://openalex.org/W2035555662","https://openalex.org/W2044535169","https://openalex.org/W2060409802","https://openalex.org/W2114703523","https://openalex.org/W2119299853","https://openalex.org/W2124848504","https://openalex.org/W2137351756","https://openalex.org/W2140196014","https://openalex.org/W2141125852","https://openalex.org/W2143283746","https://openalex.org/W2143377546","https://openalex.org/W2146578694","https://openalex.org/W2147657366","https://openalex.org/W2163605009","https://openalex.org/W2170881177","https://openalex.org/W2187230075","https://openalex.org/W4240237526","https://openalex.org/W6629399055","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2950520577","https://openalex.org/W1554644772","https://openalex.org/W2003935582","https://openalex.org/W2494130044","https://openalex.org/W3170887803","https://openalex.org/W74409296","https://openalex.org/W1991844655","https://openalex.org/W3209384898","https://openalex.org/W1595834484","https://openalex.org/W2468095077"],"abstract_inverted_index":{"Today's":[0],"mobile":[1],"consumer":[2],"electronics":[3],"devices,":[4],"such":[5,73],"as":[6,74],"smartphones":[7],"and":[8,31,63,66,76,87,117,131,137],"tablets,":[9],"are":[10,67],"required":[11],"to":[12],"execute":[13],"a":[14,98,106,134,138],"wide":[15],"variety":[16],"of":[17,59,95,129],"applications":[18,72,122],"efficiently.":[19],"To":[20],"this":[21,103],"end":[22],"modern":[23],"application":[24],"processors":[25],"integrate":[26],"both":[27,115],"general-purpose":[28,135],"CPU":[29,136],"cores":[30],"specialized":[32],"accelerators.":[33,52],"Energy":[34],"efficiency":[35,65],"is":[36,100],"the":[37,57,93,123,147,156],"primary":[38],"design":[39],"goal":[40],"for":[41,61,69],"those":[42],"processors,":[43],"which":[44],"has":[45],"recently":[46],"rekindled":[47],"interest":[48],"in":[49,97],"neural":[50,108],"network":[51,54,109],"Neural":[53],"accelerators":[55,82],"trade":[56],"accuracy":[58],"computation":[60],"performance":[62],"energy":[64,151],"suitable":[68],"error-tolerant":[70],"media":[71],"video":[75],"audio":[77],"processing.":[78],"However,":[79],"most":[80],"existing":[81],"only":[83],"exploit":[84,114],"inter-neuron":[85,142],"parallelism":[86,143],"leave":[88],"processing":[89],"elements":[90],"underutilized":[91],"when":[92],"number":[94],"neurons":[96],"layer":[99],"small.":[101],"Thus,":[102],"paper":[104],"proposes":[105],"novel":[107],"accelerator":[110,125,140,149],"that":[111],"can":[112],"efficiently":[113],"inter-":[116],"intra-neuron":[118],"parallelism.":[119],"For":[120],"five":[121],"proposed":[124,148],"achieves":[126],"average":[127],"speedups":[128],"126%":[130],"23%":[132],"over":[133,155],"state-of-the-art":[139,157],"exploiting":[141],"only,":[144],"respectively.":[145],"Besides,":[146],"saves":[150],"consumption":[152],"by":[153],"22%":[154],"accelerator.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}