{"id":"https://openalex.org/W2605487586","doi":"https://doi.org/10.1109/tvlsi.2017.2688340","title":"Deep Convolutional Neural Network Architecture With Reconfigurable Computation Patterns","display_name":"Deep Convolutional Neural Network Architecture With Reconfigurable Computation Patterns","publication_year":2017,"publication_date":"2017-04-12","ids":{"openalex":"https://openalex.org/W2605487586","doi":"https://doi.org/10.1109/tvlsi.2017.2688340","mag":"2605487586"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2017.2688340","doi":"https://doi.org/10.1109/tvlsi.2017.2688340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2017.2688340","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-c","jufo-2","norway-1","poland-100","russia-white-list-1"],"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 Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W2605487586"],"child_works_count":0,"type":"article","is_traditional":true,"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/A5038947607","display_name":"Fengbin Tu","orcid":"https://orcid.org/0000-0003-2228-8829","observed_orcids":["https://orcid.org/0000-0003-2228-8829"]},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengbin Tu","raw_affiliation_strings":["National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2228-8829","affiliations":[{"raw_affiliation_string":"National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054524841","display_name":"Shouyi Yin","orcid":"https://orcid.org/0000-0003-2309-572X","observed_orcids":["https://orcid.org/0000-0003-2309-572X","https://orcid.org/0000-0002-8438-8588"]},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouyi Yin","raw_affiliation_strings":["National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086894201","display_name":"Peng Ouyang","orcid":"https://orcid.org/0000-0001-6598-3472","observed_orcids":["https://orcid.org/0000-0001-6598-3472"]},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Ouyang","raw_affiliation_strings":["National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101630686","display_name":"Shibin Tang","orcid":"https://orcid.org/0000-0002-7560-2239","observed_orcids":["https://orcid.org/0000-0002-7560-2239"]},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibin Tang","raw_affiliation_strings":["National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358856","display_name":"Leibo Liu","orcid":"https://orcid.org/0000-0001-7548-4116","observed_orcids":["https://orcid.org/0000-0001-7548-4116"]},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leibo Liu","raw_affiliation_strings":["National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7548-4116","affiliations":[{"raw_affiliation_string":"National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036023084","display_name":"Shaojun Wei","orcid":"https://orcid.org/0000-0001-5117-7920","observed_orcids":["https://orcid.org/0000-0001-5117-7920"]},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojun Wei","raw_affiliation_strings":["National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory for Information Science and Technology, Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":11.8802,"has_fulltext":false,"cited_by_count":324,"citation_normalized_percentile":{"value":0.99297948,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"25","issue":"8","first_page":"2220","last_page":"2233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7480000257492065,"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":0.7480000257492065,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.0949999988079071,"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":0.047600001096725464,"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/deep-convolutional-neural-networks","display_name":"deep convolutional neural networks","score":0.8880000114440918},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"energy efficiency","score":0.7630000114440918},{"id":"https://openalex.org/keywords/power-performance-trade-off","display_name":"power-performance tradeoff","score":0.699999988079071},{"id":"https://openalex.org/keywords/hardware-architecture","display_name":"hardware architecture","score":0.37599998712539673},{"id":"https://openalex.org/keywords/computing-resource-utilization","display_name":"computing resource utilization","score":0.5759999752044678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7016070485115051},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6942223310470581},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6621366739273071},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6367310285568237},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5349470376968384},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5105124711990356},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4750221371650696},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.4389808177947998},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.43844282627105713},{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.42744457721710205},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4200298488140106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3743695616722107},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.36443620920181274},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31250113248825073},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.29356664419174194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2689112424850464},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12691441178321838},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1192794144153595},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvlsi.2017.2688340","doi":"https://doi.org/10.1109/tvlsi.2017.2688340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2017.2688340","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-c","jufo-2","norway-1","poland-100","russia-white-list-1"],"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 Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-127257","doi":null,"is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-127257","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5690000057220459,"id":"https://metadata.un.org/sdg/7"},{"display_name":"Industry, innovation and infrastructure","score":0.4943999946117401,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3907330648","display_name":null,"funder_award_id":"61274131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1005811612","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W2094756095","https://openalex.org/W2097117768","https://openalex.org/W2120480077","https://openalex.org/W2152839228","https://openalex.org/W2155893237","https://openalex.org/W2162390675","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2276486856","https://openalex.org/W2368124317","https://openalex.org/W2403646140","https://openalex.org/W2518511512","https://openalex.org/W2520083297","https://openalex.org/W2536208356","https://openalex.org/W3023154643","https://openalex.org/W3140772298","https://openalex.org/W4239722617","https://openalex.org/W4387007199","https://openalex.org/W6821704442","https://openalex.org/W6856891780"],"related_works":["https://openalex.org/W2947350915","https://openalex.org/W4293872422","https://openalex.org/W2891552639","https://openalex.org/W4304208280","https://openalex.org/W2905472638","https://openalex.org/W4394874784","https://openalex.org/W3129716998","https://openalex.org/W2904331435","https://openalex.org/W2588861206","https://openalex.org/W4394805061"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2,49],"networks":[3],"(DCNNs)":[4],"have":[5],"been":[6],"successfully":[7],"used":[8],"in":[9,147],"many":[10],"computer":[11],"vision":[12],"tasks.":[13],"Previous":[14],"works":[15],"on":[16,124],"DCNN":[17,27,44],"acceleration":[18,45],"usually":[19],"use":[20],"a":[21,43,63,68,85,112,128],"fixed":[22],"computation":[23,54,60],"pattern":[24,61,66],"for":[25,56,141],"diverse":[26],"models,":[28],"leading":[29],"to":[30,83,110,134,188],"imbalance":[31],"between":[32],"power":[33,137,172],"efficiency":[34,138,173],"and":[35,67,74,139,165],"performance.":[36],"We":[37],"solve":[38],"this":[39],"problem":[40],"by":[41,95,186],"designing":[42],"architecture":[46,50],"called":[47],"deep":[48],"(DNA),":[51],"with":[52],"reconfigurable":[53],"patterns":[55],"different":[57,75,142],"models.":[58],"The":[59,170],"comprises":[62],"data":[64,81,87],"reuse":[65,88],"convolution":[69,103,115],"mapping":[70,116],"method.":[71],"For":[72,101],"massive":[73],"layer":[76],"sizes,":[77],"DNA":[78,105,144],"reconfigures":[79,106],"its":[80,107],"paths":[82],"support":[84,111],"hybrid":[86],"pattern,":[89],"which":[90,118,181],"reduces":[91],"total":[92],"energy":[93],"consumption":[94],"5.9~8.4":[96],"times":[97],"over":[98],"conventional":[99],"methods.":[100],"various":[102],"parameters,":[104],"computing":[108,121],"resources":[109],"highly":[113],"scalable":[114],"method,":[117],"obtains":[119],"93%":[120],"resource":[122],"utilization":[123],"modern":[125],"DCNNs.":[126,143],"Finally,":[127],"layer-based":[129],"scheduling":[130],"framework":[131],"is":[132,145,174],"proposed":[133],"balance":[135],"DNA's":[136],"performance":[140],"implemented":[146],"the":[148,156,183],"area":[149],"of":[150],"16":[151],"mm2at":[152],"65":[153],"nm.":[154],"On":[155],"benchmarks,":[157],"it":[158],"achieves":[159],"194.4":[160],"GOPS":[161],"at":[162],"200":[163],"MHz":[164],"consumes":[166],"only":[167],"479":[168],"mW.":[169],"system-level":[171],"152.9":[175],"GOPS/W":[176],"(considering":[177],"DRAM":[178],"access":[179],"power),":[180],"outperforms":[182],"state-of-the-art":[184],"designs":[185],"one":[187],"two":[189],"orders.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":34},{"year":2023,"cited_by_count":46},{"year":2022,"cited_by_count":49},{"year":2021,"cited_by_count":44},{"year":2020,"cited_by_count":40},{"year":2019,"cited_by_count":48},{"year":2018,"cited_by_count":29},{"year":2017,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2017-04-28T00:00:00"}
