{"id":"https://openalex.org/W2767644592","doi":"https://doi.org/10.1109/tcsi.2017.2759803","title":"Data and Hardware Efficient Design for Convolutional Neural Network","display_name":"Data and Hardware Efficient Design for Convolutional Neural Network","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767644592","doi":"https://doi.org/10.1109/tcsi.2017.2759803","mag":"2767644592"},"language":"en","primary_location":{"id":"doi:10.1109/tcsi.2017.2759803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2017.2759803","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"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 Circuits and Systems I: Regular Papers","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/A5027195551","display_name":"Yue-Jin Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111328","display_name":"Novatek Microelectronics (Taiwan)","ror":"https://ror.org/02s6rdg38","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210111328"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yue-Jin Lin","raw_affiliation_strings":["Novatek, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Novatek, Taiwan","institution_ids":["https://openalex.org/I4210111328"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067793643","display_name":"Tian\u2010Sheuan Chang","orcid":"https://orcid.org/0000-0002-0561-8745"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tian Sheuan Chang","raw_affiliation_strings":["Department of Electronics Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-0561-8745","affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2299,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.94899885,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"65","issue":"5","first_page":"1642","last_page":"1651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9977999925613403,"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":0.8063792586326599},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7801626920700073},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6645564436912537},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6483724117279053},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.5391358137130737},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4874127209186554},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.45327767729759216},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3636952340602875},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35892626643180847},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3468266725540161},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3223235011100769},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.17388004064559937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12694889307022095},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12362584471702576},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08111831545829773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8063792586326599},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7801626920700073},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6645564436912537},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6483724117279053},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.5391358137130737},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4874127209186554},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.45327767729759216},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3636952340602875},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35892626643180847},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3468266725540161},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3223235011100769},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.17388004064559937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12694889307022095},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12362584471702576},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08111831545829773},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsi.2017.2759803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2017.2759803","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"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 Circuits and Systems I: Regular Papers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3777317364","display_name":null,"funder_award_id":"105-2119-M-009-009","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G4121275197","display_name":null,"funder_award_id":"104-2221-E-009-171-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W602397586","https://openalex.org/W823218635","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1801710398","https://openalex.org/W1849277567","https://openalex.org/W1934410531","https://openalex.org/W1956687234","https://openalex.org/W1981752636","https://openalex.org/W1983364832","https://openalex.org/W1990315422","https://openalex.org/W2000967104","https://openalex.org/W2019459561","https://openalex.org/W2044535169","https://openalex.org/W2048266589","https://openalex.org/W2067523571","https://openalex.org/W2070167224","https://openalex.org/W2091902424","https://openalex.org/W2094756095","https://openalex.org/W2097117768","https://openalex.org/W2102543317","https://openalex.org/W2102605133","https://openalex.org/W2117696986","https://openalex.org/W2125203716","https://openalex.org/W2134670479","https://openalex.org/W2152839228","https://openalex.org/W2156387975","https://openalex.org/W2163605009","https://openalex.org/W2191835017","https://openalex.org/W2194775991","https://openalex.org/W2217433794","https://openalex.org/W2260498192","https://openalex.org/W2276486856","https://openalex.org/W2285660444","https://openalex.org/W2290132443","https://openalex.org/W2404464147","https://openalex.org/W2418691539","https://openalex.org/W2442974303","https://openalex.org/W2464305746","https://openalex.org/W2593564159","https://openalex.org/W2963542991","https://openalex.org/W3023154643","https://openalex.org/W3024621361","https://openalex.org/W4233528918","https://openalex.org/W6637242042","https://openalex.org/W6639204139","https://openalex.org/W6641057855","https://openalex.org/W6645576446","https://openalex.org/W6674479107","https://openalex.org/W6679792166","https://openalex.org/W6682889407","https://openalex.org/W6684191040","https://openalex.org/W6734592959"],"related_works":["https://openalex.org/W2136583354","https://openalex.org/W2111238207","https://openalex.org/W4321487865","https://openalex.org/W4391382578","https://openalex.org/W4319952061","https://openalex.org/W4280636456","https://openalex.org/W4388913998","https://openalex.org/W4310584535","https://openalex.org/W4295935044","https://openalex.org/W3159906349"],"abstract_inverted_index":{"Hardware":[0],"design":[1,62,136],"of":[2,10,31,44,83,102,122],"deep":[3],"convolutional":[4,33,104,194],"neural":[5],"networks":[6],"(CNNs)":[7],"faces":[8],"challenges":[9],"high":[11],"computational":[12],"complexity":[13],"and":[14,42,60,132,152,170,181,184,196],"data":[15,54,90,100,133],"bandwidth":[16,91],"as":[17,19],"well":[18],"huge":[20],"divergence":[21],"in":[22,27],"different":[23,84],"CNN":[24,74,120,154],"network":[25,125],"layers,":[26],"which":[28,139],"the":[29,32,45,93,99,103,115,123,145,193,197],"throughput":[30,43],"layer":[34,48,146],"would":[35,49],"be":[36,50,141],"bounded":[37,51],"by":[38,52,106,144],"available":[39,53],"hardware":[40,78,131],"resource,":[41],"fully":[46],"connected":[47],"bandwidth.":[55],"Thus,":[56],"a":[57,162,171],"highly":[58],"flexible":[59],"efficient":[61],"is":[63,126],"desired":[64],"to":[65,97,108,149],"meet":[66],"these":[67],"needs.":[68],"This":[69],"paper":[70],"presents":[71],"an":[72],"end-to-end":[73,153],"accelerator":[75],"that":[76],"maximizes":[77],"utilization":[79],"with":[80,92,114,176],"run-time":[81,142],"configurations":[82],"kernel":[85],"sizes.":[86],"It":[87],"also":[88],"minimizes":[89],"output":[94],"first":[95],"strategy":[96],"improve":[98],"reuse":[101],"layers":[105,195],"up":[107],"$300\\times":[109],"\\sim":[110],"600\\times":[111],"$":[112],"compared":[113],"non-reused":[116],"case.":[117],"The":[118],"whole":[119,198],"implementation":[121,157],"target":[124],"generated":[127],"optimally":[128],"for":[129,159,167,192],"both":[130],"efficiency":[134],"under":[135,187],"resource":[137],"constraints,":[138],"can":[140],"reconfigured":[143],"optimized":[147],"parameters":[148],"achieve":[150],"real-time":[151],"acceleration.":[155],"An":[156],"example":[158],"AlexNet":[160],"consumes":[161],"1.783":[163],"M":[164],"gate":[165],"count":[166],"216":[168],"MACs":[169],"142.64":[172],"kb":[173],"internal":[174],"buffer":[175],"TSMC":[177],"40":[178],"nm":[179],"process,":[180],"achieves":[182],"99.7":[183],"61.6":[185],"f/s":[186],"454":[188],"MHz":[189],"clock":[190],"frequency":[191],"AlexNet,":[199],"respectively.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
