{"id":"https://openalex.org/W4283693604","doi":"https://doi.org/10.1109/isqed54688.2022.9806216","title":"A High-Speed CNN Hardware Accelerator with Regular Pruning","display_name":"A High-Speed CNN Hardware Accelerator with Regular Pruning","publication_year":2022,"publication_date":"2022-04-06","ids":{"openalex":"https://openalex.org/W4283693604","doi":"https://doi.org/10.1109/isqed54688.2022.9806216"},"language":"en","primary_location":{"id":"doi:10.1109/isqed54688.2022.9806216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed54688.2022.9806216","pdf_url":null,"source":{"id":"https://openalex.org/S4363607671","display_name":"2022 23rd International Symposium on Quality Electronic Design (ISQED)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 23rd International Symposium on Quality Electronic Design (ISQED)","raw_type":"proceedings-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/A5103435516","display_name":"Yuan Song","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Song","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,College of Electronic and Information Engineering,Nanjing,China","College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,College of Electronic and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090343850","display_name":"Bi Wu","orcid":"https://orcid.org/0000-0001-9972-0478"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bi Wu","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,College of Electronic and Information Engineering,Nanjing,China","College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,College of Electronic and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103214484","display_name":"Tian Yuan","orcid":"https://orcid.org/0000-0002-5752-6295"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Yuan","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,College of Electronic and Information Engineering,Nanjing,China","College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,College of Electronic and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023734605","display_name":"Weiqiang Liu","orcid":"https://orcid.org/0000-0001-8398-8648"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqiang Liu","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,College of Electronic and Information Engineering,Nanjing,China","College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,College of Electronic and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103435516"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.3598,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66412377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9961000084877014,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9945999979972839,"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":0.7889703512191772},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.713549017906189},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6850925087928772},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6153101921081543},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5582493543624878},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5216322541236877},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.504555344581604},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.490818589925766},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.47748348116874695},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.4637748599052429},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.44617584347724915},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.44135624170303345},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4301905930042267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4210335612297058},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3504066467285156},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.29386278986930847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2036605179309845},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1062900722026825},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09191495180130005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889703512191772},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.713549017906189},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6850925087928772},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6153101921081543},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5582493543624878},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5216322541236877},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.504555344581604},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.490818589925766},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.47748348116874695},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.4637748599052429},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.44617584347724915},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.44135624170303345},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4301905930042267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4210335612297058},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3504066467285156},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.29386278986930847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2036605179309845},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1062900722026825},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09191495180130005},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isqed54688.2022.9806216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed54688.2022.9806216","pdf_url":null,"source":{"id":"https://openalex.org/S4363607671","display_name":"2022 23rd International Symposium on Quality Electronic Design (ISQED)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 23rd International Symposium on Quality Electronic Design (ISQED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2119144962","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2604319603","https://openalex.org/W2618530766","https://openalex.org/W2657126969","https://openalex.org/W2798603777","https://openalex.org/W2945675653","https://openalex.org/W2963000224","https://openalex.org/W2963674932","https://openalex.org/W2998342322","https://openalex.org/W3019659883","https://openalex.org/W3038838661","https://openalex.org/W3080754330","https://openalex.org/W3086825610","https://openalex.org/W3093799822","https://openalex.org/W3132745255","https://openalex.org/W6638632666","https://openalex.org/W6677580257","https://openalex.org/W6687483927","https://openalex.org/W6725543821"],"related_works":["https://openalex.org/W2532502681","https://openalex.org/W2768628697","https://openalex.org/W1973200086","https://openalex.org/W1965503293","https://openalex.org/W2388481516","https://openalex.org/W2088378984","https://openalex.org/W2356662348","https://openalex.org/W2386366915","https://openalex.org/W4220868150","https://openalex.org/W2141840609"],"abstract_inverted_index":{"The":[0,128],"deployment":[1],"of":[2,17,24,92,189],"convolutional":[3],"neural":[4],"networks":[5],"(CNNs)":[6],"in":[7],"resource-constrained":[8],"applications":[9],"is":[10,32,41,85,97,117,170],"limited":[11],"due":[12],"to":[13,43,57,119,123,134,178],"its":[14],"huge":[15],"amount":[16],"parameters":[18],"and":[19,30,62],"computations.":[20],"Therefore,":[21],"the":[22,45,58,74,89,93,102,106,120,135,137,168,179,182],"compression":[23,39,113,140],"CNN":[25,51],"models,":[26],"such":[27],"as":[28],"pruning":[29,68,83,116],"quantization,":[31],"necessary.":[33],"In":[34],"this":[35],"paper,":[36],"a":[37,50,80,111,143,150,163,186],"hybrid":[38,139],"strategy":[40,141],"investigated":[42],"compress":[44,146],"network.":[46],"This":[47],"method":[48],"divides":[49],"model":[52],"into":[53],"two":[54],"parts":[55],"according":[56],"convolution":[59],"(CONV)":[60],"layers":[61,76,96,122],"fully-connected":[63],"(FC)":[64],"layers,":[65],"where":[66],"different":[67],"methods":[69],"are":[70,77],"applied,":[71],"respectively.":[72],"Since":[73],"CONV":[75,95],"computationally":[78],"intensive,":[79],"hardware-oriented":[81],"regular":[82],"(HRP)":[84],"proposed.":[86],"HRP":[87,169],"guarantees":[88],"weight":[90],"distribution":[91],"pruned":[94],"regular,":[98],"which":[99],"can":[100],"promote":[101],"high-speed":[103],"calculation":[104],"on":[105,158,167,172],"parallel":[107],"architecture.":[108],"To":[109],"obtain":[110],"high":[112],"rate,":[114],"non-structured":[115],"introduced":[118],"FC":[121],"eliminate":[124],"more":[125],"redundant":[126],"parameters.":[127],"experimental":[129],"results":[130],"show":[131],"that":[132],"compared":[133],"baseline,":[136],"proposed":[138,183],"achieves":[142],"31.74":[144],"\u00d7":[145],"rate":[147],"improvement":[148],"with":[149],"negligible":[151],"(0.25%)":[152],"top-5":[153],"accuracy":[154],"loss":[155],"for":[156],"VGG-16":[157],"ILSVRC2012":[159],"data":[160],"set.":[161],"Furthermore,":[162],"hardware":[164],"accelerator":[165,184],"based":[166],"implemented":[171],"Xilinx":[173],"VCU118":[174],"evaluation":[175],"board.":[176],"Compared":[177],"state-of-the-art":[180],"designs,":[181],"reaches":[185],"maximum":[187],"performance":[188],"110.6":[190],"frames":[191],"per":[192],"second":[193],"(FPS).":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}