{"id":"https://openalex.org/W2792626659","doi":"https://doi.org/10.1109/tvlsi.2018.2797600","title":"Stream Processing Dual-Track CGRA for Object Inference","display_name":"Stream Processing Dual-Track CGRA for Object Inference","publication_year":2018,"publication_date":"2018-02-12","ids":{"openalex":"https://openalex.org/W2792626659","doi":"https://doi.org/10.1109/tvlsi.2018.2797600","mag":"2792626659"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2018.2797600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2018.2797600","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","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/A5066019284","display_name":"Xitian Fan","orcid":"https://orcid.org/0000-0001-8698-6584"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xitian Fan","raw_affiliation_strings":["State Key Laboratory of Application Specific Integrated Circuit and System, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8698-6584","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Application Specific Integrated Circuit and System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711647","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-5022-0090"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["State Key Laboratory of Application Specific Integrated Circuit and System, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Application Specific Integrated Circuit and System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694034","display_name":"Wei Cao","orcid":"https://orcid.org/0000-0003-0339-7093"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Cao","raw_affiliation_strings":["State Key Laboratory of Application Specific Integrated Circuit and System, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0339-7093","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Application Specific Integrated Circuit and System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057940557","display_name":"Wayne Luk","orcid":"https://orcid.org/0000-0002-6750-927X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wayne Luk","raw_affiliation_strings":["Department of Computing, Imperial College London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002732486","display_name":"Lingli Wang","orcid":"https://orcid.org/0000-0002-0579-3527"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingli Wang","raw_affiliation_strings":["State Key Laboratory of Application Specific Integrated Circuit and System, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0579-3527","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Application Specific Integrated Circuit and System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.4994,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.81931534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":"6","first_page":"1098","last_page":"1111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9983999729156494,"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":0.9983999729156494,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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":0.9962000250816345,"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":0.750725507736206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45922911167144775},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4504287838935852},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.41125333309173584},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4109102487564087},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3709450364112854},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.36870265007019043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33625996112823486},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10651826858520508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750725507736206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45922911167144775},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4504287838935852},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.41125333309173584},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4109102487564087},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3709450364112854},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.36870265007019043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33625996112823486},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10651826858520508}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvlsi.2018.2797600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2018.2797600","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/58712","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/58712","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"1111","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8899999856948853}],"awards":[{"id":"https://openalex.org/G6367779196","display_name":null,"funder_award_id":"EP/I012036/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G774180880","display_name":null,"funder_award_id":"EP/P010040/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7839319356","display_name":null,"funder_award_id":"61131001","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/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W170472577","https://openalex.org/W201652765","https://openalex.org/W588668497","https://openalex.org/W639708223","https://openalex.org/W1591698687","https://openalex.org/W1677409904","https://openalex.org/W1686810756","https://openalex.org/W1969529818","https://openalex.org/W1980329590","https://openalex.org/W2002555321","https://openalex.org/W2027994226","https://openalex.org/W2031489346","https://openalex.org/W2036895456","https://openalex.org/W2048266589","https://openalex.org/W2053968820","https://openalex.org/W2060703241","https://openalex.org/W2067523571","https://openalex.org/W2094756095","https://openalex.org/W2097117768","https://openalex.org/W2102543317","https://openalex.org/W2104869032","https://openalex.org/W2108598243","https://openalex.org/W2113263062","https://openalex.org/W2117385926","https://openalex.org/W2120419212","https://openalex.org/W2131615444","https://openalex.org/W2149862861","https://openalex.org/W2155273149","https://openalex.org/W2155893237","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2289252105","https://openalex.org/W2496251701","https://openalex.org/W2515287984","https://openalex.org/W2525740295","https://openalex.org/W2527420500","https://openalex.org/W2594492285","https://openalex.org/W2605487586","https://openalex.org/W2606722458","https://openalex.org/W2732358839","https://openalex.org/W2744228767","https://openalex.org/W2912425543","https://openalex.org/W4238973935","https://openalex.org/W4241238426","https://openalex.org/W4255313615","https://openalex.org/W6674479107","https://openalex.org/W6684191040","https://openalex.org/W6727759651","https://openalex.org/W6727939746"],"related_works":["https://openalex.org/W2057057690","https://openalex.org/W2368184788","https://openalex.org/W2358964818","https://openalex.org/W2359535128","https://openalex.org/W2381332051","https://openalex.org/W2321443665","https://openalex.org/W2375699995","https://openalex.org/W2043719711","https://openalex.org/W2140069467","https://openalex.org/W2364072231"],"abstract_inverted_index":{"With":[0],"the":[1,7,52,63,81,83,100,143,180,186,195,206],"development":[2],"of":[3,9,19,56,102,198],"machine":[4,128],"learning":[5],"technology,":[6],"exploration":[8],"energy-efficient":[10],"and":[11,90,131,151,160,164,174,185,204,218],"flexible":[12],"architectures":[13],"for":[14,36,157,170],"object":[15,37,59,108],"inference":[16,38,109],"algorithms":[17,57,176],"is":[18,73,85],"growing":[20],"interest":[21],"in":[22,58,87,92,215],"recent":[23],"years.":[24],"However,":[25],"not":[26],"many":[27],"publications":[28],"concentrate":[29],"on":[30,62,147,200],"a":[31,43,211,219],"coarsegrained":[32],"reconfigurable":[33],"architecture":[34,67],"(CGRA)":[35],"algorithms.":[39],"This":[40],"paper":[41],"provides":[42],"stream":[44,69],"processing,":[45],"dual-track":[46,70],"programming":[47],"CGRA-based":[48],"approach":[49],"to":[50],"address":[51],"inherent":[53],"computing":[54],"characteristics":[55],"inference.":[60],"Based":[61],"proposed":[64,207],"approach,":[65],"an":[66,76],"called":[68],"CGRA":[71],"(SDT-CGRA)":[72],"presented":[74],"as":[75,136],"implementation":[77],"prototype.":[78],"To":[79],"evaluate":[80],"performance,":[82],"SDT-CGRA":[84,144,208],"realized":[86],"Verilog":[88],"HDL":[89],"implemented":[91],"Semiconductor":[93],"Manufacturing":[94],"International":[95],"Corporation":[96],"55-nm":[97],"process,":[98],"with":[99,179,194],"footprint":[101],"5.19":[103],"mm2at":[104],"450":[105],"MHz.":[106],"Seven":[107],"algorithms,":[110],"including":[111],"convolutional":[112],"neural":[113],"network":[114],"(CNN),":[115],"k-means,":[116,171],"principal":[117],"component":[118],"analysis":[119],"(PCA),":[120],"spatial":[121],"pyramid":[122],"matching":[123],"(SPM),":[124],"linear":[125],"support":[126],"vector":[127],"(SVM),":[129],"Softmax,":[130,158],"Joint":[132],"Bayesian,":[133],"are":[134],"selected":[135],"benchmarks.":[137],"The":[138],"experimental":[139],"results":[140],"show":[141],"that":[142],"can":[145,209],"gain":[146],"average":[148],"343.8":[149],"times":[150,153,163,166,213,221],"17.7":[152],"higher":[154,167],"energy":[155,168,216],"efficiency":[156,169,217],"PCA,":[159],"CNN,":[161],"621.0":[162],"1261.8":[165],"SPM,":[172],"linear-SVM,":[173],"Joint-Bayesian":[175],"when":[177],"compared":[178,193],"Intel":[181],"Xeon":[182],"E5-2637":[183],"CPU":[184],"Nvidia":[187],"TitanX":[188],"graphics":[189],"processing":[190],"unit.":[191],"When":[192],"state-of-the-art":[196],"solutions":[197],"AlexNet":[199],"field-programmable":[201],"gate":[202],"array":[203],"CGRA,":[205],"achieve":[210],"1.78":[212],"increase":[214],"13":[220],"speedup,":[222],"respectively.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
