{"id":"https://openalex.org/W4411950001","doi":"https://doi.org/10.1109/tc.2025.3585354","title":"A High-Intensity Solution of Hardware Accelerator for Sparse and Redundant Computations in Semantic Segmentation Models","display_name":"A High-Intensity Solution of Hardware Accelerator for Sparse and Redundant Computations in Semantic Segmentation Models","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4411950001","doi":"https://doi.org/10.1109/tc.2025.3585354"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2025.3585354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2025.3585354","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"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 Computers","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/A5066920622","display_name":"Jiahui Huang","orcid":"https://orcid.org/0000-0002-2249-6700"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahui Huang","raw_affiliation_strings":["Hongyi Honor College, Wuhan University, Wuhan, China","Hongyi Honor College, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Hongyi Honor College, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hongyi Honor College, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018088512","display_name":"Zhan Li","orcid":"https://orcid.org/0009-0005-2648-6824"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Li","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China","School of Physics and Technology, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034132646","display_name":"Jiang Yu-xian","orcid":"https://orcid.org/0009-0006-3128-9304"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxian Jiang","raw_affiliation_strings":["Hongyi Honor College, Wuhan University, Wuhan, China","Hongyi Honor College, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Hongyi Honor College, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hongyi Honor College, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhihan Zhang","orcid":"https://orcid.org/0009-0000-8864-9143"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihan Zhang","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China","School of Physics and Technology, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-5279-3645"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China","School of Physics and Technology, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102006180","display_name":"Sheng Chang","orcid":"https://orcid.org/0000-0003-4875-5501"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Chang","raw_affiliation_strings":["School of Physics and Technology and the School of Microelectronics, Wuhan University, Wuhan, China","School of Physics and Technology, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology and the School of Microelectronics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066920622"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13417495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":"9","first_page":"3129","last_page":"3142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8414999842643738,"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":0.8414999842643738,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.769599974155426,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.7559000253677368,"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":0.691737949848175},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6384983062744141},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6057564616203308},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.4809086322784424},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.44919300079345703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4206532835960388},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4129025340080261},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.39540091156959534},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3657500147819519},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35434865951538086},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.328849732875824},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.32258832454681396},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1135232150554657},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10843941569328308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.691737949848175},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6384983062744141},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6057564616203308},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.4809086322784424},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.44919300079345703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4206532835960388},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4129025340080261},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.39540091156959534},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3657500147819519},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35434865951538086},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.328849732875824},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.32258832454681396},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1135232150554657},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10843941569328308}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.2025.3585354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2025.3585354","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"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 Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2557712854","display_name":null,"funder_award_id":"2021A1515110939","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G2785318553","display_name":null,"funder_award_id":"62074116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G856552681","display_name":null,"funder_award_id":"81971702","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"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1995420818","https://openalex.org/W2340897893","https://openalex.org/W2560023338","https://openalex.org/W2737312250","https://openalex.org/W2885089463","https://openalex.org/W2899746768","https://openalex.org/W2911496423","https://openalex.org/W2935524202","https://openalex.org/W2943277244","https://openalex.org/W2963122961","https://openalex.org/W2963418739","https://openalex.org/W2973613048","https://openalex.org/W2988282777","https://openalex.org/W3009636589","https://openalex.org/W3033428961","https://openalex.org/W3046370136","https://openalex.org/W3097806840","https://openalex.org/W3121787284","https://openalex.org/W3126580754","https://openalex.org/W3126906961","https://openalex.org/W3129147932","https://openalex.org/W3160733399","https://openalex.org/W3161321444","https://openalex.org/W3167210698","https://openalex.org/W3195801700","https://openalex.org/W3198625877","https://openalex.org/W4205730070","https://openalex.org/W4205884968","https://openalex.org/W4285290717","https://openalex.org/W4291910419","https://openalex.org/W4293023523","https://openalex.org/W4308083846","https://openalex.org/W4308479898","https://openalex.org/W4312037452","https://openalex.org/W4313887421","https://openalex.org/W4385804992","https://openalex.org/W4386083004","https://openalex.org/W4387969647","https://openalex.org/W4390337243","https://openalex.org/W4400579168","https://openalex.org/W6696085341","https://openalex.org/W6717372056","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W2355315220","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W2316202402","https://openalex.org/W2074043759","https://openalex.org/W2082487009","https://openalex.org/W2373535795","https://openalex.org/W2518118925","https://openalex.org/W3159273459"],"abstract_inverted_index":{"The":[0],"rapid":[1],"development":[2],"of":[3,16,40,79,138,157,168,177,186],"artificial":[4],"intelligence":[5],"(AI)":[6],"has":[7,32],"met":[8],"people\u2019s":[9],"personalized":[10],"needs.":[11],"However,":[12],"with":[13,125,192],"the":[14,22,38,50,53,64,76,130,144,184],"increase":[15],"data":[17,26],"capacities":[18],"and":[19,28,68,101,132,148,163,171,174,179],"computing":[20,45,66,146,175,194],"requirements,":[21],"imbalance":[23],"between":[24],"large-scale":[25],"transmission":[27],"limited":[29],"network":[30],"bandwidth":[31],"become":[33,98],"increasingly":[34],"prominent.":[35],"To":[36],"improve":[37,143],"speed":[39],"embedded":[41],"system,":[42],"real-time":[43,190],"intelligent":[44],"is":[46,103],"gradually":[47],"moving":[48],"from":[49],"cloud":[51],"to":[52,74,105,128],"edge.":[54],"Traditional":[55],"FPGA-based":[56],"AI":[57,81,91],"accelerators":[58,92,109],"mainly":[59],"utilize":[60],"PE":[61],"architecture,":[62],"but":[63],"low":[65],"throughput":[67,147],"resource":[69],"utilization":[70],"make":[71],"it":[72,102],"difficult":[73],"meet":[75],"power":[77],"requirement":[78],"edge":[80],"application":[82,191],"scenarios":[83],"such":[84],"as":[85],"image":[86],"segmentation.":[87],"In":[88,114],"recent":[89],"years,":[90],"based":[93],"on":[94],"streaming":[95,108],"architecture":[96],"have":[97],"a":[99,119],"trend,":[100],"necessary":[104],"customize":[106],"high-performance":[107],"for":[110],"specific":[111,136],"segmentation":[112,161],"algorithms.":[113],"this":[115],"paper,":[116],"we":[117],"design":[118],"high-intensity":[120],"pixel-level":[121],"fully":[122],"pipelined":[123],"accelerator":[124],"customized":[126],"strategies":[127],"eliminate":[129],"sparse":[131],"redundant":[133],"computations":[134],"in":[135,189],"algorithms":[137],"semantic":[139,160],"segmentation,":[140],"which":[141],"significantly":[142],"accelerator\u2019s":[145],"hardware":[149,187],"resources":[150],"utilization.":[151],"On":[152],"Xilinx":[153],"FPGA,":[154],"our":[155],"acceleration":[156],"two":[158],"typical":[159],"networks-ESPNet":[162],"DeepLabV3,":[164],"achieves":[165],"optimized":[166],"throughputs":[167],"171.3":[169],"GOPS":[170],"1324.8":[172],"GOPS,":[173],"efficiency":[176],"9.26":[178],"9.01,":[180],"respectively.":[181],"It":[182],"provides":[183],"possibility":[185],"deployment":[188],"high":[193],"intensity.":[195]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}