{"id":"https://openalex.org/W1974745307","doi":"https://doi.org/10.1145/2800835.2800933","title":"Power-efficient context sensing using mobile GPUs","display_name":"Power-efficient context sensing using mobile GPUs","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1974745307","doi":"https://doi.org/10.1145/2800835.2800933","mag":"1974745307"},"language":"en","primary_location":{"id":"doi:10.1145/2800835.2800933","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2800835.2800933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15","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/A5020740369","display_name":"Huynh Nguyen Loc","orcid":null},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Huynh Nguyen Loc","raw_affiliation_strings":["Singapore Management University, Singapore","Singapore Management University, SINGAPORE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]},{"raw_affiliation_string":"Singapore Management University, SINGAPORE","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075701279","display_name":"Rajesh Krishna Balan","orcid":"https://orcid.org/0000-0001-6289-9902"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rajesh Krishna Balan","raw_affiliation_strings":["Singapore Management University, Singapore","Singapore Management University, SINGAPORE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]},{"raw_affiliation_string":"Singapore Management University, SINGAPORE","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100295770","display_name":"Youngki Lee","orcid":"https://orcid.org/0000-0002-6657-6059"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Youngki Lee","raw_affiliation_strings":["Singapore Management University, Singapore","Singapore Management University, SINGAPORE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]},{"raw_affiliation_string":"Singapore Management University, SINGAPORE","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79891267"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10779989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9908000230789185,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9908000230789185,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.8684099316596985},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.5665699243545532},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.5271536707878113},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5199326872825623},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5089104175567627},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48644566535949707},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.45652782917022705},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.44964349269866943},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4436792731285095},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.369547039270401},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.3204324245452881},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.31067848205566406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2362273931503296},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13374224305152893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8684099316596985},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.5665699243545532},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.5271536707878113},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5199326872825623},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5089104175567627},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48644566535949707},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.45652782917022705},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.44964349269866943},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4436792731285095},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.369547039270401},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3204324245452881},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.31067848205566406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2362273931503296},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13374224305152893},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.1145/2800835.2800933","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2800835.2800933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1984222112","https://openalex.org/W2048332266","https://openalex.org/W2146894470"],"related_works":["https://openalex.org/W2136652457","https://openalex.org/W2169849734","https://openalex.org/W2116722627","https://openalex.org/W2129150969","https://openalex.org/W2236912844","https://openalex.org/W1975869217","https://openalex.org/W2401728283","https://openalex.org/W2383829109","https://openalex.org/W2379938888","https://openalex.org/W2849436992"],"abstract_inverted_index":{"Mobile":[0],"sensing":[1],"applications":[2,29],"have":[3],"been":[4],"increasingly":[5],"popular.":[6],"Even":[7],"after":[8],"many":[9],"years":[10],"of":[11,117],"research,":[12],"their":[13],"power":[14],"consumption":[15],"and":[16,46,75,91,113],"processing":[17],"latency":[18],"are":[19,72],"still":[20],"critical":[21],"concerns.":[22],"The":[23],"problem":[24,56],"gets":[25],"aggravated":[26],"especially":[27],"when":[28],"adopt":[30],"complicated":[31],"machine":[32],"learning":[33],"algorithms":[34],"(e.g.,":[35],"GMM,":[36],"HMM,":[37],"Neural":[38],"network)":[39],"over":[40],"high-rate":[41],"sensor":[42],"streams":[43],"like":[44],"sound":[45],"video.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,98],"aim":[52],"at":[53],"addressing":[54],"the":[55,115,118],"using":[57],"mobile":[58],"GPUs,":[59],"which":[60],"is":[61],"recently":[62],"integrated":[63],"into":[64],"state-of-the-art":[65],"smartphones.":[66],"We":[67],"first":[68],"studied":[69],"if":[70],"GPUs":[71],"more":[73],"power-efficient":[74],"faster":[76],"compared":[77],"to":[78,111],"CPUs":[79],"under":[80],"four":[81],"different":[82],"workloads":[83],"(median":[84],"filter,":[85],"matrix":[86],"multiplication,":[87],"fast":[88],"Fourier":[89],"transform":[90],"Viterbi":[92],"algorithm).":[93],"Based":[94],"on":[95],"our":[96],"measurements,":[97],"developed":[99],"a":[100],"simple":[101],"task":[102],"dispatcher":[103],"that":[104],"intelligently":[105],"offloads":[106],"various":[107],"tasks":[108],"from":[109],"CPU":[110],"GPU,":[112],"showed":[114],"effectiveness":[116],"dispatcher.":[119]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
