{"id":"https://openalex.org/W2911374887","doi":"https://doi.org/10.1109/icecs.2018.8617876","title":"EdgeNet: SqueezeNet like Convolution Neural Network on Embedded FPGA","display_name":"EdgeNet: SqueezeNet like Convolution Neural Network on Embedded FPGA","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911374887","doi":"https://doi.org/10.1109/icecs.2018.8617876","mag":"2911374887"},"language":"en","primary_location":{"id":"doi:10.1109/icecs.2018.8617876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2018.8617876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5064851199","display_name":"Kathirgamaraja Pradeep","orcid":null},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":true,"raw_author_name":"Kathirgamaraja Pradeep","raw_affiliation_strings":["Dept. of Electronic and Telecomunication Engineering, University of Moratuwa, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Telecomunication Engineering, University of Moratuwa, Sri Lanka","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048647497","display_name":"Kamalavasan Kamalakkannan","orcid":"https://orcid.org/0000-0001-7282-5165"},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Kamalakkannan Kamalavasan","raw_affiliation_strings":["Dept. of Electronic and Telecomunication Engineering, University of Moratuwa, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Telecomunication Engineering, University of Moratuwa, Sri Lanka","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088444464","display_name":"Ratnasegar Natheesan","orcid":null},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Ratnasegar Natheesan","raw_affiliation_strings":["Dept. of Electronic and Telecomunication Engineering, University of Moratuwa, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Telecomunication Engineering, University of Moratuwa, Sri Lanka","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071939695","display_name":"Ajith Pasqual","orcid":"https://orcid.org/0000-0001-9728-9098"},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Ajith Pasqual","raw_affiliation_strings":["Dept. of Electronic and Telecomunication Engineering, University of Moratuwa, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Telecomunication Engineering, University of Moratuwa, Sri Lanka","institution_ids":["https://openalex.org/I195740183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064851199"],"corresponding_institution_ids":["https://openalex.org/I195740183"],"apc_list":null,"apc_paid":null,"fwci":0.8506,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79971079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2018","issue":null,"first_page":"81","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9990000128746033,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987999796867371,"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":0.8354043960571289},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7042586803436279},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6521879434585571},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6423741579055786},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6241416335105896},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6133154630661011},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5015380382537842},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.491430401802063},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.47330203652381897},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46326425671577454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4624035954475403},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.44769373536109924},{"id":"https://openalex.org/keywords/microarchitecture","display_name":"Microarchitecture","score":0.4339528977870941},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42162206768989563},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.41700369119644165},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4168754816055298},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.4125814735889435},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.41024094820022583},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3938097655773163},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1987820863723755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8354043960571289},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7042586803436279},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6521879434585571},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6423741579055786},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6241416335105896},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6133154630661011},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5015380382537842},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.491430401802063},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.47330203652381897},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46326425671577454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4624035954475403},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.44769373536109924},{"id":"https://openalex.org/C107598950","wikidata":"https://www.wikidata.org/wiki/Q259864","display_name":"Microarchitecture","level":2,"score":0.4339528977870941},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42162206768989563},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.41700369119644165},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4168754816055298},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.4125814735889435},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.41024094820022583},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3938097655773163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1987820863723755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icecs.2018.8617876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2018.8617876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"},{"id":"mag:3118679490","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902279702273110","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2279098554","https://openalex.org/W3026022605","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3111395152","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379","https://openalex.org/W3214037210"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"Convolution":[3],"Neural":[4],"Network":[5],"(CNN)":[6],"gained":[7],"great":[8],"success":[9],"in":[10,14,30,36,128,181],"many":[11],"applications,":[12],"especially":[13],"computer":[15],"vision.":[16],"Now":[17],"adapting":[18],"CNN":[19,45,69,78],"inference":[20,46],"on":[21,47],"edge":[22],"devices":[23],"has":[24],"become":[25],"an":[26],"active":[27],"research":[28],"area":[29],"embedded":[31,48,187],"vision":[32],"and":[33,56,100],"hot":[34],"topic":[35],"Edge":[37],"AI.":[38],"The":[39],"primary":[40],"design":[41],"hurdles":[42],"for":[43,65,98,102,137,140,152,160],"implementing":[44],"systems":[49],"are":[50,179],"limited":[51],"computational":[52],"resource,":[53,55],"memory":[54],"power":[57],"budget.":[58],"This":[59],"study":[60],"presents":[61],"a":[62,93,110,129,172],"novel":[63],"architecture":[64,154],"SqueezeNet":[66,135],"[1]":[67],"like":[68,189],"models,":[70],"which":[71,143,167,184],"can":[72,118],"be":[73,119],"extended":[74],"to":[75,86,126],"support":[76],"any":[77],"model":[79,108],"as":[80],"well.":[81],"We":[82,132],"address":[83],"two":[84],"approaches":[85],"mitigate":[87],"resource":[88],"constraints.":[89],"First,":[90],"we":[91],"use":[92,168],"custom":[94],"floating":[95],"point(12":[96],"bit":[97],"computation":[99,114],"8bit":[101],"storing).":[103],"Second":[104],"is":[105],"slicing":[106],"the":[107,123,161],"into":[109],"repetitive":[111],"block":[112,117],"called":[113],"blocks.":[115],"Computation":[116],"configured":[120],"dynamically":[121],"by":[122],"host":[124],"processor":[125],"operate":[127],"different":[130],"mode.":[131],"have":[133],"implemented":[134],"v1.1":[136],"Image-Net":[138],"[2]":[139],"large-scale":[141],"classification":[142],"achieved":[144],"around":[145],"9":[146],"FPS":[147],"at":[148],"100MHz.":[149],"SqueezeNet,":[150],"mapped":[151],"our":[153,177],"achieves":[155],"top-1":[156],"accuracy":[157],"of":[158,175],"51%":[159],"ImageNet":[162],"dataset.":[163],"Unlike":[164],"other":[165],"implementations":[166],"FPGA":[169],"boards":[170],"with":[171],"large":[173],"amount":[174],"resources,":[176],"experiments":[178],"done":[180],"DE10":[182],"Nano":[183],"mimics":[185],"actual":[186],"system":[188],"environment.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
