{"id":"https://openalex.org/W3128367403","doi":"https://doi.org/10.1145/3394885.3431423","title":"Power-Efficient Layer Mapping for CNNs on Integrated CPU and GPU Platforms","display_name":"Power-Efficient Layer Mapping for CNNs on Integrated CPU and GPU Platforms","publication_year":2021,"publication_date":"2021-01-18","ids":{"openalex":"https://openalex.org/W3128367403","doi":"https://doi.org/10.1145/3394885.3431423","mag":"3128367403"},"language":"en","primary_location":{"id":"doi:10.1145/3394885.3431423","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394885.3431423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101444595","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0001-8633-5001"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052730043","display_name":"Kun Cao","orcid":"https://orcid.org/0000-0003-4872-4908"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Cao","raw_affiliation_strings":["Department of Computer Science, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102905745","display_name":"Junlong Zhou","orcid":"https://orcid.org/0000-0002-7734-4077"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlong Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China and Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China and Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I36399199","https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043414541","display_name":"Gongxuan Zhang","orcid":"https://orcid.org/0000-0003-2925-5624"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongxuan Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069242581","display_name":"Xiji Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiji Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"627","last_page":"632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9901999831199646,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.986299991607666,"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":0.785784900188446},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.646624743938446},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5866239070892334},{"id":"https://openalex.org/keywords/mpsoc","display_name":"MPSoC","score":0.5747640132904053},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.4760848581790924},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.45971113443374634},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.44385066628456116},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4395330846309662},{"id":"https://openalex.org/keywords/cpu-shielding","display_name":"CPU shielding","score":0.4247516989707947},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3192049264907837},{"id":"https://openalex.org/keywords/system-on-a-chip","display_name":"System on a chip","score":0.3044549226760864},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10959920287132263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10215002298355103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785784900188446},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.646624743938446},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5866239070892334},{"id":"https://openalex.org/C2777187653","wikidata":"https://www.wikidata.org/wiki/Q975106","display_name":"MPSoC","level":3,"score":0.5747640132904053},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.4760848581790924},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.45971113443374634},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.44385066628456116},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4395330846309662},{"id":"https://openalex.org/C180613757","wikidata":"https://www.wikidata.org/wiki/Q5013757","display_name":"CPU shielding","level":3,"score":0.4247516989707947},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3192049264907837},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.3044549226760864},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10959920287132263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10215002298355103},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394885.3431423","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394885.3431423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2143449822","display_name":null,"funder_award_id":"30919011233","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G578633690","display_name":null,"funder_award_id":"BK20180470","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8382373889","display_name":null,"funder_award_id":"61802185","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W65494498","https://openalex.org/W1483870316","https://openalex.org/W1506206839","https://openalex.org/W2030149846","https://openalex.org/W2186222003","https://openalex.org/W2478838598","https://openalex.org/W2560029789","https://openalex.org/W2767247349","https://openalex.org/W2807848753","https://openalex.org/W2911839389","https://openalex.org/W2963037989","https://openalex.org/W2972607526","https://openalex.org/W2997987659","https://openalex.org/W3022837298"],"related_works":["https://openalex.org/W2387982802","https://openalex.org/W1896942098","https://openalex.org/W1991061790","https://openalex.org/W2088078730","https://openalex.org/W2400763249","https://openalex.org/W1482063109","https://openalex.org/W2043940072","https://openalex.org/W2249399447","https://openalex.org/W2745443495","https://openalex.org/W2904030423"],"abstract_inverted_index":{"Heterogeneous":[0],"MPSoCs":[1],"consisting":[2],"of":[3,60,77,80,111,202],"integrated":[4,32,67,208],"CPUs":[5],"and":[6,34,69,89,174,178,210],"GPUs":[7],"are":[8,26,52,115,181],"suitable":[9,117,183],"platforms":[10],"for":[11,118,131,184,207],"embedded":[12],"applications":[13],"running":[14],"on":[15,43,66,91,98],"handheld":[16,24],"devices":[17,25],"such":[18],"as":[19,163,165],"smart":[20],"phones.":[21],"As":[22],"the":[23,31,75,112,123,136,147,155,176,200],"mostly":[27],"powered":[28],"by":[29],"battery,":[30],"CPU":[33,68,130,162,209],"GPU":[35,70,211],"MPSoC":[36],"is":[37,152,170],"usually":[38],"designed":[39],"with":[40],"an":[41],"emphasis":[42],"low-power":[44],"rather":[45],"than":[46],"performance.":[47],"In":[48],"this":[49,192],"paper,":[50],"we":[51,73],"interested":[53],"in":[54,86,143,191],"exploring":[55],"a":[56,83,141],"power-efficient":[57,203],"layer":[58,78,125,157,204],"mapping":[59,79,119,137,185,205],"convolution":[61,113],"neural":[62],"networks":[63],"(CNNs)":[64],"deployed":[65],"platforms.":[71,212],"Specifically,":[72],"investigate":[74],"impact":[76],"YoloV3-Tiny":[81],"(i.e.,":[82],"widely-used":[84],"CNN":[85],"both":[87,182],"industry":[88],"academia)":[90],"system":[92],"power":[93,133],"consumption":[94],"through":[95],"numerous":[96],"experiments":[97],"NVIDIA":[99],"board":[100],"Jetson":[101],"TX2.":[102],"The":[103],"experimental":[104],"results":[105],"indicate":[106],"that":[107],"1)":[108],"almost":[109],"all":[110],"layers":[114,180],"not":[116,171],"to":[120,129,140,161,186,198],"CPU,":[121],"2)":[122],"pooling":[124],"can":[126,158,194],"be":[127,159,195],"mapped":[128,160],"reducing":[132],"consumption,":[134],"but":[135],"may":[138],"lead":[139],"decrease":[142],"inference":[144],"speed":[145],"when":[146],"layer's":[148],"output":[149],"tensor":[150],"size":[151],"large,":[153,173],"3)":[154],"detection":[156],"long":[164],"its":[166],"floating-point":[167],"operation":[168],"scale":[169],"too":[172],"4)":[175],"channel":[177],"upsampling":[179],"CPU.":[187],"These":[188],"observations":[189],"obtained":[190],"study":[193],"further":[196],"utilized":[197],"guide":[199],"design":[201],"strategies":[206]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}