{"id":"https://openalex.org/W4313546903","doi":"https://doi.org/10.1109/les.2022.3233796","title":"Design and Implementation of a Universal Shift Convolutional Neural Network Accelerator","display_name":"Design and Implementation of a Universal Shift Convolutional Neural Network Accelerator","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4313546903","doi":"https://doi.org/10.1109/les.2022.3233796"},"language":"en","primary_location":{"id":"doi:10.1109/les.2022.3233796","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/les.2022.3233796","pdf_url":null,"source":{"id":"https://openalex.org/S22443479","display_name":"IEEE Embedded Systems Letters","issn_l":"1943-0663","issn":["1943-0663","1943-0671"],"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 Embedded Systems Letters","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/A5020075105","display_name":"Qingzeng Song","orcid":"https://orcid.org/0000-0002-5406-294X"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingzeng Song","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091403208","display_name":"Weizhi Cui","orcid":"https://orcid.org/0000-0002-2690-4417"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhi Cui","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-2690-4417","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007440140","display_name":"Liankun Sun","orcid":"https://orcid.org/0000-0002-6809-5136"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liankun Sun","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-6809-5136","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015867638","display_name":"Guanghao Jin","orcid":"https://orcid.org/0000-0003-2116-4410"},"institutions":[{"id":"https://openalex.org/I4210152042","display_name":"Beijing Polytechnic","ror":"https://ror.org/03xgzn792","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghao Jin","raw_affiliation_strings":["School of Telecommunication Engineering, Beijing Polytechnic, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2116-4410","affiliations":[{"raw_affiliation_string":"School of Telecommunication Engineering, Beijing Polytechnic, Beijing, China","institution_ids":["https://openalex.org/I4210152042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3191,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53667039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"16","issue":"1","first_page":"17","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9988999962806702,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.8738529086112976},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7781457304954529},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7648553848266602},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6990618705749512},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.5071315765380859},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.5059861540794373},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.422811359167099},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.415554404258728},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.41364461183547974},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.40207016468048096},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3557261824607849},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2745620012283325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20458155870437622},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17604392766952515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8738529086112976},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7781457304954529},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7648553848266602},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6990618705749512},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.5071315765380859},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.5059861540794373},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.422811359167099},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.415554404258728},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.41364461183547974},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.40207016468048096},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3557261824607849},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2745620012283325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20458155870437622},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17604392766952515},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"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/les.2022.3233796","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/les.2022.3233796","pdf_url":null,"source":{"id":"https://openalex.org/S22443479","display_name":"IEEE Embedded Systems Letters","issn_l":"1943-0663","issn":["1943-0663","1943-0671"],"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 Embedded Systems Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G13332109","display_name":null,"funder_award_id":"61802279,6180021345,61702281,61702366","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1520833777","display_name":null,"funder_award_id":"18JCQNJC70300,19JCTPJC49200,19PTZWHZ00020,19JCYBJC","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G3188471130","display_name":null,"funder_award_id":"2021KF014","funder_id":"https://openalex.org/F4320330347","funder_display_name":"State Key Laboratory of ASIC and System, Fudan University"},{"id":"https://openalex.org/G8759731693","display_name":null,"funder_award_id":"19PTZWHZ00020","funder_id":"https://openalex.org/F4320336756","funder_display_name":"Tianjin Science and Technology Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null},{"id":"https://openalex.org/F4320330347","display_name":"State Key Laboratory of ASIC and System, Fudan University","ror":null},{"id":"https://openalex.org/F4320336756","display_name":"Tianjin Science and Technology Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2622872848","https://openalex.org/W2887447938","https://openalex.org/W2935524202","https://openalex.org/W3036920006","https://openalex.org/W3091140859","https://openalex.org/W3174389152","https://openalex.org/W4206677526","https://openalex.org/W4210705982","https://openalex.org/W6639703010","https://openalex.org/W6669893450","https://openalex.org/W6734062232","https://openalex.org/W6744700018"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W4391547476","https://openalex.org/W2891987081"],"abstract_inverted_index":{"Currently,":[0],"many":[1],"applications":[2],"implement":[3],"convolutional":[4,33,126],"neural":[5,34,127],"networks":[6],"(CNNs)":[7],"on":[8,28,36,80],"CPUs":[9,29],"or":[10,30],"GPUs":[11],"while":[12,107],"the":[13,18,26,43,46,59,73,81,88,124],"performances":[14],"are":[15],"limited":[16],"by":[17],"computational":[19,89],"complexity":[20],"of":[21,49,91,111],"these":[22],"networks.":[23],"Compared":[24],"with":[25],"implementation":[27],"GPUs,":[31],"deploying":[32],"accelerators":[35],"FPGAs":[37,56],"can":[38,86,99],"achieve":[39,58],"superior":[40],"performance.":[41,61],"On":[42,93],"other":[44,125],"side,":[45],"multiplication":[47,74],"operations":[48,75],"CNNs":[50],"have":[51],"been":[52],"a":[53,67,109],"constraint":[54],"for":[55],"to":[57],"better":[60],"In":[62],"this":[63],"letter,":[64],"we":[65],"proposed":[66],"shift":[68,77,82],"CNN":[69],"accelerator,":[70],"which":[71,118],"converts":[72],"into":[76],"operations.":[78],"Based":[79],"operation,":[83],"our":[84,97],"accelerator":[85,98],"break":[87],"bottleneck":[90],"FPGAs.":[92],"Virtex":[94],"UltraScale+":[95],"VU9P,":[96],"save":[100],"DSP":[101],"resources":[102],"and":[103],"reduce":[104],"memory":[105],"consumption":[106],"achieving":[108],"performance":[110],"1.18":[112],"Tera":[113],"Operations":[114],"Per":[115],"Second":[116],"(TOPS),":[117],"is":[119],"an":[120],"essential":[121],"improvement":[122],"over":[123],"accelerators.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
