{"id":"https://openalex.org/W3138924132","doi":"https://doi.org/10.1109/bigdata50022.2020.9378371","title":"Energy-Efficient Energy Analytics Using a General Purpose Graphics Processing Unit","display_name":"Energy-Efficient Energy Analytics Using a General Purpose Graphics Processing Unit","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3138924132","doi":"https://doi.org/10.1109/bigdata50022.2020.9378371","mag":"3138924132"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","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/A5078702915","display_name":"Sagnik De","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sagnik De","raw_affiliation_strings":["Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113937362","display_name":"Wojciech Golab","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wojciech Golab","raw_affiliation_strings":["Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22791943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"2482","last_page":"2491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10603","display_name":"Smart Grid Energy Management","score":0.9936000108718872,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.795854926109314},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.601611852645874},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5954371690750122},{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.5662380456924438},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5262367129325867},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.5130900144577026},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.47266826033592224},{"id":"https://openalex.org/keywords/electricity-meter","display_name":"Electricity meter","score":0.4516987204551697},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.43718162178993225},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.43567806482315063},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.42182067036628723},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.41299617290496826},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3963894248008728},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.35154345631599426},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.31313252449035645},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.27307018637657166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2387087345123291},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.20470604300498962},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.17777153849601746},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10301420092582703},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08199191093444824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795854926109314},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.601611852645874},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5954371690750122},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.5662380456924438},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5262367129325867},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.5130900144577026},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.47266826033592224},{"id":"https://openalex.org/C67172668","wikidata":"https://www.wikidata.org/wiki/Q622756","display_name":"Electricity meter","level":3,"score":0.4516987204551697},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.43718162178993225},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.43567806482315063},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.42182067036628723},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.41299617290496826},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3963894248008728},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.35154345631599426},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.31313252449035645},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.27307018637657166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2387087345123291},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.20470604300498962},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.17777153849601746},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10301420092582703},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08199191093444824},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6499999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W86601866","https://openalex.org/W1788180225","https://openalex.org/W1967486306","https://openalex.org/W1970954003","https://openalex.org/W1983357754","https://openalex.org/W1988949113","https://openalex.org/W2000164913","https://openalex.org/W2006678855","https://openalex.org/W2030307856","https://openalex.org/W2048909810","https://openalex.org/W2092614923","https://openalex.org/W2103430225","https://openalex.org/W2103565249","https://openalex.org/W2117604780","https://openalex.org/W2127091535","https://openalex.org/W2132540527","https://openalex.org/W2136834900","https://openalex.org/W2139774022","https://openalex.org/W2145682438","https://openalex.org/W2148459868","https://openalex.org/W2154118576","https://openalex.org/W2157147632","https://openalex.org/W2528068510","https://openalex.org/W2553567329","https://openalex.org/W2763437374","https://openalex.org/W2993467838","https://openalex.org/W2999104210","https://openalex.org/W3005914582","https://openalex.org/W3033359889","https://openalex.org/W3082857444","https://openalex.org/W4212782655","https://openalex.org/W6638233953","https://openalex.org/W6650325945","https://openalex.org/W6678771712","https://openalex.org/W6681223143","https://openalex.org/W6728113431","https://openalex.org/W6773804597","https://openalex.org/W6782800401"],"related_works":["https://openalex.org/W2598944200","https://openalex.org/W2559348759","https://openalex.org/W1483929671","https://openalex.org/W1936382095","https://openalex.org/W2057093945","https://openalex.org/W3170868388","https://openalex.org/W4362496811","https://openalex.org/W4317790246","https://openalex.org/W2992303576","https://openalex.org/W4313573824"],"abstract_inverted_index":{"Smart":[0],"meters":[1],"allow":[2],"energy":[3,31,108,137],"providers":[4,32],"to":[5,33,59,86,106,171,195,221],"monitor":[6],"their":[7],"customers'":[8],"power":[9,24,48,151],"consumption.":[10],"This":[11],"fine-grained":[12],"data":[13,17,49,83,93,116],"stream":[14],"generates":[15,113],"many":[16],"points,":[18],"which":[19],"hides":[20],"broader":[21],"trends":[22],"in":[23,190,211],"consumption":[25],"and":[26,75,110,176,200,217],"makes":[27],"it":[28],"difficult":[29],"for":[30],"make":[34,81],"decisions":[35],"regarding":[36],"a":[37,41,100,166,181,192],"specific":[38],"customer":[39],"or":[40],"subset":[42],"of":[43,63,72,103,115,126,145,149,165,206,213],"customers.":[44],"Since":[45],"the":[46,61,82,87,123,146,155,163,187,222],"raw":[47],"has":[50],"little":[51],"direct":[52],"use,":[53],"various":[54],"algorithms":[55],"have":[56,129,140],"been":[57,130],"proposed":[58],"lower":[60],"dimensionality":[62],"data,":[64,74,175,199],"discover":[65],"trends,":[66],"study":[67],"relationships":[68],"between":[69],"different":[70],"features":[71],"collected":[73],"summarize":[76],"data.":[77],"These":[78],"analytical":[79],"techniques":[80],"more":[84],"palatable":[85],"end":[88],"user.":[89],"Analyzing":[90],"smart":[91,173,197],"meter":[92,174,198],"is":[94,99,152],"computationally":[95],"intensive":[96],"as":[97,219],"there":[98],"large":[101],"number":[102],"households":[104],"connected":[105],"one":[107],"provider,":[109],"each":[111],"household":[112],"years":[114],"at":[117],"hourly":[118],"intervals.":[119],"To":[120],"speed":[121],"up":[122],"analysis,":[124],"clusters":[125,134],"commodity":[127],"computers":[128],"used.":[131],"Ironically,":[132],"such":[133],"consume":[135],"substantial":[136,209],"-":[138],"studies":[139],"shown":[141],"that":[142,203],"about":[143],"10%":[144],"world-wide":[147],"supply":[148],"electrical":[150],"consumed":[153],"by":[154],"computing":[156],"infrastructure.":[157],"In":[158],"this":[159,204],"paper,":[160],"we":[161],"describe":[162],"use":[164],"graphics":[167],"processing":[168],"unit":[169],"(GPU)":[170],"analyze":[172],"compare":[177],"its":[178],"performance":[179],"with":[180],"conventional":[182],"multi-core":[183,223],"CPU.":[184,224],"We":[185],"discuss":[186],"technical":[188],"challenges":[189],"programming":[191],"GPU":[193],"effectively":[194],"process":[196],"demonstrate":[201],"experimentally":[202],"choice":[205],"implementation":[207],"enables":[208],"improvements":[210],"terms":[212],"both":[214],"running":[215],"time":[216],"energy-efficiency":[218],"compared":[220]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}