{"id":"https://openalex.org/W2795363269","doi":"https://doi.org/10.1145/3204949.3204975","title":"Latency and throughput characterization of convolutional neural networks for mobile computer vision","display_name":"Latency and throughput characterization of convolutional neural networks for mobile computer vision","publication_year":2018,"publication_date":"2018-06-12","ids":{"openalex":"https://openalex.org/W2795363269","doi":"https://doi.org/10.1145/3204949.3204975","mag":"2795363269"},"language":"en","primary_location":{"id":"doi:10.1145/3204949.3204975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3204949.3204975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM Multimedia Systems Conference","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.09492","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085521923","display_name":"Jussi Hanhirova","orcid":"https://orcid.org/0000-0002-2776-9405"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Jussi Hanhirova","raw_affiliation_strings":["Aalto University, Espoo, Finland","Aalto University; Espoo Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Aalto University; Espoo Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061086814","display_name":"Teemu K\u00e4m\u00e4r\u00e4inen","orcid":"https://orcid.org/0000-0003-4685-6763"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Teemu K\u00e4m\u00e4r\u00e4inen","raw_affiliation_strings":["Aalto University, Espoo, Finland","Aalto University; Espoo Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Aalto University; Espoo Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033210590","display_name":"Sipi Sepp\u00e4l\u00e4","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sipi Sepp\u00e4l\u00e4","raw_affiliation_strings":["Aalto University, Espoo, Finland","Aalto University; Espoo Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Aalto University; Espoo Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043930285","display_name":"Matti Siekkinen","orcid":"https://orcid.org/0000-0003-0423-1060"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Matti Siekkinen","raw_affiliation_strings":["Aalto University, Espoo, Finland","Aalto University; Espoo Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Aalto University; Espoo Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039966331","display_name":"Vesa Hirvisalo","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Vesa Hirvisalo","raw_affiliation_strings":["Aalto University, Espoo, Finland","Aalto University; Espoo Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Aalto University; Espoo Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034913796","display_name":"Antti Yl\u00e4-J\u00e4\u00e4ski","orcid":"https://orcid.org/0000-0002-2069-1721"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Antti Yl\u00e4-J\u00e4\u00e4ski","raw_affiliation_strings":["Aalto University, Espoo, Finland","Aalto University; Espoo Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Aalto University; Espoo Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085521923"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":0.24550474,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55288892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955999851226807,"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":0.8350942730903625},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7214071750640869},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.659896731376648},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5680538415908813},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5459304451942444},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5293358564376831},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4567815065383911},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4531571567058563},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4276989996433258},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.425483763217926},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42111748456954956},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4159685969352722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3186470568180084},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1956033706665039},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1432061791419983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8350942730903625},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7214071750640869},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.659896731376648},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5680538415908813},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5459304451942444},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5293358564376831},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4567815065383911},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4531571567058563},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4276989996433258},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.425483763217926},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42111748456954956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4159685969352722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3186470568180084},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1956033706665039},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1432061791419983},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3204949.3204975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3204949.3204975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM Multimedia Systems Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1803.09492","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.09492","pdf_url":"https://arxiv.org/pdf/1803.09492","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2795363269","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1803.09492.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1803.09492","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.09492","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.09492","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.09492","pdf_url":"https://arxiv.org/pdf/1803.09492","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2795363269.pdf","grobid_xml":"https://content.openalex.org/works/W2795363269.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1997430507","https://openalex.org/W2045371716","https://openalex.org/W2097117768","https://openalex.org/W2159481344","https://openalex.org/W2183341477","https://openalex.org/W2297325673","https://openalex.org/W2468875367","https://openalex.org/W2525951180","https://openalex.org/W2546536770","https://openalex.org/W2557728737","https://openalex.org/W2558974524","https://openalex.org/W2560645261","https://openalex.org/W2587914027","https://openalex.org/W2598842133","https://openalex.org/W2599379624","https://openalex.org/W2606722458","https://openalex.org/W2612445135","https://openalex.org/W2626129225","https://openalex.org/W2739104262","https://openalex.org/W2739305089","https://openalex.org/W2752512710","https://openalex.org/W2786171709","https://openalex.org/W2949117887","https://openalex.org/W2950806363","https://openalex.org/W2950968671","https://openalex.org/W2952926545","https://openalex.org/W2953212265","https://openalex.org/W2963037989","https://openalex.org/W2964108773","https://openalex.org/W3104331387","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W2760063890","https://openalex.org/W3113248283","https://openalex.org/W3036033155","https://openalex.org/W2775172580","https://openalex.org/W3059055024","https://openalex.org/W2895385416","https://openalex.org/W3210706441","https://openalex.org/W3156189202","https://openalex.org/W3168297782","https://openalex.org/W2090162030","https://openalex.org/W3210705689","https://openalex.org/W3133635270","https://openalex.org/W3103089830","https://openalex.org/W3173911546","https://openalex.org/W3029362297","https://openalex.org/W3094249382","https://openalex.org/W2906374897","https://openalex.org/W3105445742","https://openalex.org/W2944864513","https://openalex.org/W2983440318"],"abstract_inverted_index":{"We":[0,133,147],"study":[1],"performance":[2,31,60,156],"characteristics":[3],"of":[4,37,48,62,130],"convolutional":[5],"neural":[6],"networks":[7],"(CNN)":[8],"for":[9,66],"mobile":[10,117,131],"computer":[11],"vision":[12],"systems.":[13,27,132],"CNNs":[14],"have":[15],"proven":[16],"to":[17,24,43],"be":[18,124],"a":[19],"powerful":[20],"and":[21,69,76,83,95,108,119,149,157],"efficient":[22],"approach":[23],"implement":[25],"such":[26],"However,":[28],"the":[29,35,46,49,100,127,142,155],"system":[30],"depends":[32],"largely":[33],"on":[34,106,116,126],"utilization":[36],"hardware":[38,74],"accelerators,":[39],"which":[40],"are":[41,90],"able":[42],"speed":[44],"up":[45],"execution":[47],"underlying":[50],"mathematical":[51],"operations":[52],"tremendously":[53],"through":[54],"massive":[55],"parallelism.":[56],"Our":[57,110],"contribution":[58],"is":[59,144],"characterization":[61],"multiple":[63],"CNN-based":[64],"models":[65],"object":[67],"recognition":[68],"detection":[70],"with":[71],"several":[72,151],"different":[73],"platforms":[75],"software":[77],"frameworks,":[78],"using":[79,92],"both":[80],"local":[81],"(on-device)":[82],"remote":[84],"(network-side":[85],"server)":[86],"computation.":[87],"The":[88],"measurements":[89,111],"conducted":[91],"real":[93,96],"workloads":[94],"processing":[97],"platforms.":[98],"On":[99],"platform":[101],"side,":[102],"we":[103],"concentrate":[104],"especially":[105],"TensorFlow":[107],"TensorRT.":[109],"include":[112],"embedded":[113],"processors":[114,121],"found":[115],"devices":[118],"high-performance":[120],"that":[122,135,153],"can":[123],"used":[125],"network":[128],"side":[129],"show":[134],"there":[136],"exists":[137],"significant":[138],"latency--throughput":[139],"trade-offs":[140],"but":[141],"behavior":[143],"very":[145],"complex.":[146],"demonstrate":[148],"discuss":[150],"factors":[152],"affect":[154],"yield":[158],"this":[159],"complex":[160],"behavior.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}