{"id":"https://openalex.org/W2008802978","doi":"https://doi.org/10.1109/jssc.2014.2332134","title":"A 1000 fps Vision Chip Based on a Dynamically Reconfigurable Hybrid Architecture Comprising a PE Array Processor and Self-Organizing Map Neural Network","display_name":"A 1000 fps Vision Chip Based on a Dynamically Reconfigurable Hybrid Architecture Comprising a PE Array Processor and Self-Organizing Map Neural Network","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W2008802978","doi":"https://doi.org/10.1109/jssc.2014.2332134","mag":"2008802978"},"language":"en","primary_location":{"id":"doi:10.1109/jssc.2014.2332134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2014.2332134","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"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 Journal of Solid-State Circuits","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/A5023218221","display_name":"Cong Shi","orcid":"https://orcid.org/0000-0002-7599-202X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Shi","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","[Chinese Academy of Science, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"raw_affiliation_string":"[Chinese Academy of Science, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007036605","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-4148-0042"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","[Chinese Academy of Science, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"raw_affiliation_string":"[Chinese Academy of Science, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383657","display_name":"Han Ye","orcid":"https://orcid.org/0000-0002-9119-4781"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Han","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","[Chinese Academy of Science, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"raw_affiliation_string":"[Chinese Academy of Science, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110516932","display_name":"Zhongxiang Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongxiang Cao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","[Chinese Academy of Science, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"raw_affiliation_string":"[Chinese Academy of Science, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068500219","display_name":"Qi Qin","orcid":"https://orcid.org/0000-0002-8181-2291"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Qin","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","[Chinese Academy of Science, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"raw_affiliation_string":"[Chinese Academy of Science, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657035","display_name":"Liyuan Liu","orcid":"https://orcid.org/0000-0003-2585-323X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","[Chinese Academy of Science, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"raw_affiliation_string":"[Chinese Academy of Science, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110665174","display_name":"Nanjian Wu","orcid":"https://orcid.org/0000-0001-8022-0262"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan-Jian Wu","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","[Chinese Academy of Science, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Semiconductors, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"raw_affiliation_string":"[Chinese Academy of Science, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356864","display_name":"Zhihua Wang","orcid":"https://orcid.org/0000-0001-6567-0759"},"institutions":[{"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":"Zhihua Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Haidian District, Beijing, China","Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3909,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.96149197,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"49","issue":"9","first_page":"2067","last_page":"2082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9997000098228455,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9997000098228455,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987999796867371,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6020750403404236},{"id":"https://openalex.org/keywords/von-neumann-architecture","display_name":"Von Neumann architecture","score":0.5774069428443909},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.5500626564025879},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5045007467269897},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4912506937980652},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42779189348220825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3604840040206909},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23930925130844116},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1968621015548706},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1194387674331665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6020750403404236},{"id":"https://openalex.org/C80469333","wikidata":"https://www.wikidata.org/wiki/Q189088","display_name":"Von Neumann architecture","level":2,"score":0.5774069428443909},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.5500626564025879},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5045007467269897},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4912506937980652},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42779189348220825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3604840040206909},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23930925130844116},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1968621015548706},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1194387674331665},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jssc.2014.2332134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2014.2332134","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"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 Journal of Solid-State Circuits","raw_type":"journal-article"},{"id":"pmh:oai:ir.semi.ac.cn:172111/26214","is_oa":false,"landing_page_url":"http://ir.semi.ac.cn/handle/172111/26214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W158072590","https://openalex.org/W1528444979","https://openalex.org/W2007164801","https://openalex.org/W2009933375","https://openalex.org/W2042633959","https://openalex.org/W2083770087","https://openalex.org/W2088957091","https://openalex.org/W2093719511","https://openalex.org/W2097988027","https://openalex.org/W2098476801","https://openalex.org/W2106773659","https://openalex.org/W2110526812","https://openalex.org/W2111730644","https://openalex.org/W2113491211","https://openalex.org/W2114487471","https://openalex.org/W2117148079","https://openalex.org/W2117347589","https://openalex.org/W2119656522","https://openalex.org/W2125430715","https://openalex.org/W2129076589","https://openalex.org/W2133299437","https://openalex.org/W2139886987","https://openalex.org/W2145324087","https://openalex.org/W2151351903","https://openalex.org/W2152003804","https://openalex.org/W2152430060","https://openalex.org/W2154891463","https://openalex.org/W2155529599","https://openalex.org/W2156571376","https://openalex.org/W2162910395","https://openalex.org/W2163512693","https://openalex.org/W2163630896","https://openalex.org/W2165015795","https://openalex.org/W2168808547","https://openalex.org/W2171851311","https://openalex.org/W2174613990","https://openalex.org/W2268526851","https://openalex.org/W2567052870","https://openalex.org/W3150009426","https://openalex.org/W4242296985","https://openalex.org/W4245176872","https://openalex.org/W6606389732","https://openalex.org/W6921373999"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W2963177394","https://openalex.org/W1595229445","https://openalex.org/W2498744856","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W1965815883","https://openalex.org/W763418848","https://openalex.org/W4298135613"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,24,35,46,53,61,116,120,128,134,141,158],"vision":[4],"chip":[5,93,110,114,148],"hybrid":[6],"architecture":[7],"with":[8,115],"dynamically":[9,101],"reconfigurable":[10,121],"processing":[11,83,156],"element":[12],"(PE)":[13],"array":[14,49,57,106,124,131],"processor":[15,50,58,132],"and":[16,34,60,72,133,153,161],"self-organizing":[17],"map":[18],"(SOM)":[19],"neural":[20,40],"network.":[21,41],"It":[22],"integrates":[23],"high":[25,159,182],"speed":[26,160,183],"CMOS":[27,143],"image":[28,74,118,144,151,155],"sensor,":[29,119],"three":[30],"von":[31],"Neumann-type":[32,37],"processors,":[33],"non-von":[36],"bio-inspired":[38],"SOM":[39,78,97,126],"The":[42,77,96,147],"processors":[43],"consist":[44],"of":[45],"pixel-parallel":[47],"PE":[48,105,123],"with$O(N\\times":[51],"N)$parallelism,":[52],"row-parallel":[54],"row-processor":[55],"(RP)":[56],"with$O(N)$parallelism":[59],"thread-parallel":[62],"dual-core":[63,135],"microprocessor":[64],"unit":[65],"(MPU)":[66],"with$O(2)$parallelism.":[67],"They":[68],"execute":[69],"low-,":[70],"mid-":[71],"high-level":[73,82],"processing,":[75],"respectively.":[76],"network":[79,98],"speeds":[80],"up":[81],"in":[84,140,162],"pattern":[85],"recognition":[86,178],"tasks":[87],"by$O(N/4\\times":[88],"N/4)$,":[89],"which":[90],"improves":[91],"the":[92,104],"performance":[94],"remarkably.":[95],"can":[99,149],"be":[100],"reconfigured":[102],"from":[103,184],"to":[107],"largely":[108],"save":[109],"area.":[111],"A":[112],"prototype":[113],"256$\\,\\times\\,$256":[117],"64$\\,\\times\\,$64":[122],"processor/16$\\,\\times\\,$16":[125],"network,":[127],"64$\\,\\times\\,$1":[129],"RP":[130],"32-bit":[136],"MPU":[137],"was":[138],"implemented":[139],"0.18$\\mu$m":[142],"sensor":[145],"process.":[146],"perform":[150],"capture":[152],"various-level":[154],"at":[157,181],"flexible":[163],"fashion.":[164],"Various":[165],"complicated":[166],"applications":[167],"including":[168],"M-S":[169],"functional":[170],"solution,":[171],"horizon":[172],"estimation,":[173],"hand":[174],"gesture":[175],"recognition,":[176],"face":[177],"are":[179],"demonstrated":[180],"several":[185],"hundreds":[186],"to${&gt;}$1000":[187],"fps.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
