{"id":"https://openalex.org/W3184382748","doi":"https://doi.org/10.1109/tnnls.2021.3095276","title":"ECBC: Efficient Convolution via Blocked Columnizing","display_name":"ECBC: Efficient Convolution via Blocked Columnizing","publication_year":2021,"publication_date":"2021-08-10","ids":{"openalex":"https://openalex.org/W3184382748","doi":"https://doi.org/10.1109/tnnls.2021.3095276","mag":"3184382748","pmid":"https://pubmed.ncbi.nlm.nih.gov/34280111"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3095276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3095276","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5085449959","display_name":"Tianli Zhao","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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianli Zhao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4231-7607","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102016070","display_name":"Qinghao Hu","orcid":"https://orcid.org/0000-0003-0422-5509"},"institutions":[{"id":"https://openalex.org/I4210087493","display_name":"National Institute of Measurement and Testing Technology","ror":"https://ror.org/002qybp75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210087493"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghao Hu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Beijing, China","institution_ids":["https://openalex.org/I4210087493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063863469","display_name":"Xiangyu He","orcid":"https://orcid.org/0000-0003-2554-9289"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu He","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062221157","display_name":"Weixiang Xu","orcid":"https://orcid.org/0000-0002-3083-794X"},"institutions":[{"id":"https://openalex.org/I4210087493","display_name":"National Institute of Measurement and Testing Technology","ror":"https://ror.org/002qybp75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210087493"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixiang Xu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3083-794X","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Beijing, China","institution_ids":["https://openalex.org/I4210087493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717645","display_name":"Jiaxing Wang","orcid":"https://orcid.org/0000-0003-0028-3162"},"institutions":[{"id":"https://openalex.org/I4210087493","display_name":"National Institute of Measurement and Testing Technology","ror":"https://ror.org/002qybp75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210087493"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxing Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Beijing, China","institution_ids":["https://openalex.org/I4210087493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021471271","display_name":"Cong Leng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087493","display_name":"National Institute of Measurement and Testing Technology","ror":"https://ror.org/002qybp75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210087493"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Leng","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Beijing, China","institution_ids":["https://openalex.org/I4210087493"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112149353","display_name":"Jian Cheng","orcid":"https://orcid.org/0000-0003-1289-2758"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1289-2758","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4851,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.64821535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"34","issue":"1","first_page":"433","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9987000226974487,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9987000226974487,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9984999895095825,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9984999895095825,"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/convolution","display_name":"Convolution (computer science)","score":0.5806130766868591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4691943824291229},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3740238547325134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14397752285003662}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5806130766868591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4691943824291229},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3740238547325134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14397752285003662},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3095276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3095276","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34280111","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34280111","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1608628075","display_name":"\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u9ad8\u6548\u8ba1\u7b97\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972396","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3143315255","display_name":null,"funder_award_id":"2020AAA0103402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8908804399","display_name":null,"funder_award_id":"XDA27040300","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1487564550","https://openalex.org/W1903029394","https://openalex.org/W1983157164","https://openalex.org/W1996901117","https://openalex.org/W2002051125","https://openalex.org/W2002257715","https://openalex.org/W2043275593","https://openalex.org/W2064872546","https://openalex.org/W2073061372","https://openalex.org/W2097117768","https://openalex.org/W2155893237","https://openalex.org/W2172654076","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2550403740","https://openalex.org/W2560023338","https://openalex.org/W2739789140","https://openalex.org/W2786374423","https://openalex.org/W2887447938","https://openalex.org/W2951894856","https://openalex.org/W2954580493","https://openalex.org/W2963751813","https://openalex.org/W2981698279","https://openalex.org/W3012249773","https://openalex.org/W3035377608","https://openalex.org/W3042343931","https://openalex.org/W3104151879","https://openalex.org/W4237812669","https://openalex.org/W6620707391","https://openalex.org/W6631660994","https://openalex.org/W6637373629","https://openalex.org/W6677580257","https://openalex.org/W6679667936","https://openalex.org/W6684563725","https://openalex.org/W6686509673","https://openalex.org/W6713134421","https://openalex.org/W6725543821","https://openalex.org/W6740373327","https://openalex.org/W6750227808","https://openalex.org/W6751349269","https://openalex.org/W6752390237","https://openalex.org/W6754777574","https://openalex.org/W6757036269","https://openalex.org/W6763412433","https://openalex.org/W6765129128","https://openalex.org/W6779728309","https://openalex.org/W6783236829"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"Direct":[0],"convolution":[1,18,28,92,101,116,182],"methods":[2,33],"are":[3],"now":[4],"drawing":[5],"increasing":[6],"attention":[7],"as":[8,148,150,166,168],"they":[9],"eliminate":[10],"the":[11,21,26,31,48,71,99,104,115,122,127,151,162,169],"additional":[12],"storage":[13],"demand":[14],"required":[15],"by":[16,25,98],"indirect":[17,58],"algorithms":[19],"(i.e.,":[20],"transformed":[22],"matrix":[23,78],"generated":[24],"im2col":[27,100,128],"algorithm).":[29],"Nevertheless,":[30],"direct":[32],"require":[34],"special":[35],"input-output":[36],"tensor":[37],"formatting,":[38],"leading":[39],"to":[40,46,65,113],"extra":[41],"time":[42],"and":[43,103,159],"memory":[44,84,147],"consumption":[45],"get":[47],"desired":[49],"data":[50,152],"layout.":[51],"In":[52],"this":[53],"article,":[54],"we":[55,111],"show":[56],"that":[57,139],"convolution,":[59],"if":[60],"implemented":[61],"properly,":[62],"is":[63,89],"able":[64],"achieve":[66],"high":[67],"computation":[68,117],"performance":[69],"with":[70],"help":[72],"of":[73,107,146,164,171,178],"highly":[74],"optimized":[75],"subroutines":[76],"in":[77,134],"multiplication":[79],"while":[80],"avoid":[81],"incurring":[82],"substantial":[83],"overhead.":[85],"The":[86],"proposed":[87,173],"algorithm":[88,102,106],"called":[90],"efficient":[91],"via":[93],"blocked":[94],"columnizing":[95],"(ECBC).":[96],"Inspired":[97],"block":[105,145],"general":[108],"matrix-to-matrix":[109],"multiplication,":[110],"propose":[112],"conduct":[114],"blockwisely.":[118],"As":[119],"a":[120,135,143,176],"result,":[121],"tensor-to-matrix":[123],"transformation":[124],"process":[125],"(e.g.,":[126],"operation)":[129],"can":[130],"also":[131],"be":[132],"done":[133],"blockwise":[136],"manner":[137],"so":[138],"it":[140],"only":[141],"requires":[142],"small":[144,149],"block.":[153],"Extensive":[154],"experiments":[155],"on":[156],"various":[157],"platforms":[158],"networks":[160],"validate":[161],"effectiveness":[163],"ECBC,":[165],"well":[167],"superiority":[170],"our":[172],"method":[174],"against":[175],"set":[177],"widely":[179],"used":[180],"industrial-level":[181],"algorithms.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
