{"id":"https://openalex.org/W2901189804","doi":"https://doi.org/10.1109/ictc.2018.8539528","title":"Energy-Efficient Task Partitioning for CNN-based Object Detection in Heterogeneous Computing Environment","display_name":"Energy-Efficient Task Partitioning for CNN-based Object Detection in Heterogeneous Computing Environment","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2901189804","doi":"https://doi.org/10.1109/ictc.2018.8539528","mag":"2901189804"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2018.8539528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2018.8539528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5051826599","display_name":"Eun-Young Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eun-Young Oh","raw_affiliation_strings":["Department of Electrical Engineering, KAIST, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005962479","display_name":"Wan-Gyu Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan-Gyu Han","raw_affiliation_strings":["TmaxSoft, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"TmaxSoft, Seoul, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eun-Ju Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eun-Ju Yang","raw_affiliation_strings":["Department of Electrical Engineering, KAIST, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050139076","display_name":"Jaeho Jeong","orcid":"https://orcid.org/0000-0002-1055-618X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Ho Jeong","raw_affiliation_strings":["Department of Electrical Engineering, KAIST, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044854788","display_name":"Laku Lemi","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Laku Lemi","raw_affiliation_strings":["Network and Computing Labortory (KAIST), Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Network and Computing Labortory (KAIST), Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045403869","display_name":"Chan\u2010Hyun Youn","orcid":"https://orcid.org/0000-0002-3970-7308"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chan-Hyun Youn","raw_affiliation_strings":["Department of Electrical Engineering, KAIST, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051826599"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.3188,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63849614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9957000017166138,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8856033086776733},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7302473783493042},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6919681429862976},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.6228691339492798},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5193475484848022},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49101853370666504},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.4659973382949829},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4431927800178528},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.44041404128074646},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.36852598190307617},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35076403617858887},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3494848310947418},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12692388892173767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8856033086776733},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7302473783493042},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6919681429862976},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6228691339492798},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5193475484848022},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49101853370666504},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.4659973382949829},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4431927800178528},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.44041404128074646},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.36852598190307617},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35076403617858887},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3494848310947418},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12692388892173767},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2018.8539528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2018.8539528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1005811612","https://openalex.org/W1537764194","https://openalex.org/W1923615342","https://openalex.org/W2034601083","https://openalex.org/W2063554643","https://openalex.org/W2094756095","https://openalex.org/W2112796928","https://openalex.org/W2141761787","https://openalex.org/W2163605009","https://openalex.org/W2962855623","https://openalex.org/W6626177569","https://openalex.org/W6674479107","https://openalex.org/W6680477979","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W1608572506","https://openalex.org/W2518118925","https://openalex.org/W3159273459","https://openalex.org/W4386568676","https://openalex.org/W4319952061","https://openalex.org/W4280636456","https://openalex.org/W4388913998","https://openalex.org/W4310584535"],"abstract_inverted_index":{"Along":[0],"with":[1,105],"the":[2,6,11,25,74,91,94,106,112,119,137,143,146,168,179],"high":[3],"accuracy":[4],"and":[5,79,103],"various":[7],"use-cases":[8],"of":[9,13,27,40,44,108,129,139,145,182],"CNN,":[10],"number":[12],"services":[14],"which":[15],"are":[16,86],"based":[17],"on":[18,149],"CNN":[19,35,57],"continues":[20],"to":[21,24,60],"grow.":[22],"Thanks":[23],"development":[26],"GPU,":[28],"a":[29,56],"hardware":[30],"accelerator":[31,58,123],"for":[32,93,126,161],"parallel":[33],"processing,":[34],"have":[36,51,81],"become":[37],"powerful":[38],"despite":[39],"its":[41,61],"large":[42],"amount":[43],"computations.":[45],"In":[46],"recent":[47],"year,":[48],"many":[49],"studies":[50],"suggested":[52],"using":[53,66],"FPGA":[54,80],"as":[55],"due":[59],"advantages":[62],"over":[63],"GPU.":[64],"However,":[65],"these":[67],"two":[68],"accelerators":[69],"together":[70],"can":[71,141],"greatly":[72],"improve":[73,142],"processing":[75],"performance":[76],"because":[77],"GPU":[78],"complementary":[82],"characteristics.":[83],"Although":[84],"there":[85],"some":[87],"scheduling":[88,170],"algorithms":[89],"in":[90,136],"literature":[92],"heterogeneous":[95],"platform,":[96],"they":[97],"do":[98],"not":[99],"consider":[100],"power":[101,121],"efficiency":[102],"compliance":[104],"deadline":[107,181],"an":[109,155],"application":[110],"at":[111],"same":[113],"time.":[114],"This":[115],"paper":[116,153],"found":[117],"that":[118,133,167],"most":[120],"efficient":[122],"is":[124],"different":[125],"each":[127],"sub-layers":[128,140],"CNN.":[130],"It":[131],"confirmed":[132],"task":[134,158],"partitioning":[135,159],"unit":[138],"energy-efficiency":[144],"system.":[147],"Based":[148],"this":[150,152],"finding":[151],"proposes":[154],"energy-efficient":[156],"adaptive":[157],"scheme":[160],"CNN-based":[162],"service.":[163],"Experimental":[164],"results":[165],"show":[166],"proposed":[169],"consumes":[171],"less":[172],"energy":[173],"than":[174],"EDP":[175],"method":[176],"while":[177],"satisfying":[178],"requested":[180],"tasks.":[183]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}