{"id":"https://openalex.org/W2492251521","doi":"https://doi.org/10.1145/2934583.2934612","title":"Power--Aware Performance Adaptation of Concurrent Applications in Heterogeneous Many-Core Systems","display_name":"Power--Aware Performance Adaptation of Concurrent Applications in Heterogeneous Many-Core Systems","publication_year":2016,"publication_date":"2016-07-29","ids":{"openalex":"https://openalex.org/W2492251521","doi":"https://doi.org/10.1145/2934583.2934612","mag":"2492251521"},"language":"en","primary_location":{"id":"doi:10.1145/2934583.2934612","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2934583.2934612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","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/A5052351708","display_name":"Ali Aalsaud","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ali Aalsaud","raw_affiliation_strings":["School of EEE, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EEE, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077777787","display_name":"Rishad Shafik","orcid":"https://orcid.org/0000-0001-5444-537X"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rishad Shafik","raw_affiliation_strings":["School of EEE, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EEE, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059001136","display_name":"Ashur Rafiev","orcid":"https://orcid.org/0000-0002-7387-5970"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ashur Rafiev","raw_affiliation_strings":["School of EEE, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EEE, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110433400","display_name":"Fie Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fie Xia","raw_affiliation_strings":["School of EEE, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EEE, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102897063","display_name":"Sheng Yang","orcid":"https://orcid.org/0000-0001-8063-510X"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sheng Yang","raw_affiliation_strings":["School of ECS, University of Southampton, Southampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECS, University of Southampton, Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029446985","display_name":"Alex Yakovlev","orcid":"https://orcid.org/0000-0003-0826-9330"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex Yakovlev","raw_affiliation_strings":["School of EEE, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EEE, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.05,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.97452229,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"368","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":1.0,"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":1.0,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9991000294685364,"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":0.8177297115325928},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6953647136688232},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6062407493591309},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5726984739303589},{"id":"https://openalex.org/keywords/concurrency","display_name":"Concurrency","score":0.5533445477485657},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.5040001273155212},{"id":"https://openalex.org/keywords/parsec","display_name":"Parsec","score":0.491458535194397},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42452800273895264},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.42418044805526733},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.42096707224845886},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41857901215553284},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3729665279388428},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14749175310134888}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177297115325928},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6953647136688232},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6062407493591309},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5726984739303589},{"id":"https://openalex.org/C193702766","wikidata":"https://www.wikidata.org/wiki/Q1414548","display_name":"Concurrency","level":2,"score":0.5533445477485657},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.5040001273155212},{"id":"https://openalex.org/C44060867","wikidata":"https://www.wikidata.org/wiki/Q12129","display_name":"Parsec","level":3,"score":0.491458535194397},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42452800273895264},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.42418044805526733},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.42096707224845886},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41857901215553284},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3729665279388428},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14749175310134888},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C150846664","wikidata":"https://www.wikidata.org/wiki/Q7602306","display_name":"Stars","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2934583.2934612","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2934583.2934612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","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":[{"id":"https://openalex.org/G732396245","display_name":null,"funder_award_id":"EP/N023641/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7639885267","display_name":null,"funder_award_id":"EP/K034448/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W98223237","https://openalex.org/W1585764373","https://openalex.org/W1978124838","https://openalex.org/W2017216250","https://openalex.org/W2027600010","https://openalex.org/W2035720033","https://openalex.org/W2051286041","https://openalex.org/W2058456457","https://openalex.org/W2059015014","https://openalex.org/W2122363495","https://openalex.org/W2134026160","https://openalex.org/W2147733664","https://openalex.org/W2150857739","https://openalex.org/W2170965549","https://openalex.org/W2173300326","https://openalex.org/W2391633074","https://openalex.org/W2585727580","https://openalex.org/W3127272194"],"related_works":["https://openalex.org/W2152436418","https://openalex.org/W2038229768","https://openalex.org/W2169875292","https://openalex.org/W4387670984","https://openalex.org/W2950411467","https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2208151106","https://openalex.org/W2384410913","https://openalex.org/W2352878646"],"abstract_inverted_index":{"Modern":[0],"embedded":[1],"systems":[2],"execute":[3],"multiple":[4],"applications,":[5,130],"both":[6,178],"sequentially":[7],"and":[8,21,48,57,87,107,143,180,199],"concurrently.":[9],"These":[10],"applications":[11,165,176],"are":[12],"exercised":[13],"on":[14,118],"heterogeneous":[15,122],"platforms":[16],"generating":[17],"varying":[18],"power":[19,79,108,133,142],"consumption":[20,109],"system":[22,37,112,194],"workloads":[23],"(CPU":[24],"or":[25,28],"memory":[26,174],"intensive":[27,164,175],"both).":[29],"As":[30],"a":[31,68,95,125,197],"result,":[32],"determining":[33],"the":[34,40,74,100,173,206,214],"most":[35],"energy-efficient":[36],"configuration":[38,195],"(i.e.":[39],"number":[41,126,160],"of":[42,55,76,85,127,138,161],"parallel":[43],"threads,":[44],"their":[45],"core":[46],"allocations":[47],"operating":[49],"frequencies)":[50],"tailored":[51],"for":[52],"each":[53],"kind":[54],"workload":[56,86],"application":[58,88,182],"scenario":[59],"is":[60,94,189],"extremely":[61],"challenging.":[62],"In":[63],"this":[64,92],"paper,":[65],"we":[66,131,155,185],"propose":[67],"novel":[69],"runtime":[70,201],"optimization":[71],"approach":[72,93],"with":[73,105,124,158],"aim":[75],"achieving":[77],"maximized":[78],"normalized":[80,134],"performance":[81,106,135,144],"considering":[82],"dynamic":[83],"variation":[84],"scenarios.":[89,183],"Fundamental":[90],"to":[91,98,172,191,210,213],"comprehensive":[96],"study":[97],"investigate":[99],"tradeoffs":[101],"between":[102],"inter-application":[103],"concurrency":[104],"under":[110],"different":[111],"configurations.":[113],"Using":[114,152],"real":[115],"experimental":[116],"measurements":[117],"an":[119],"Odroid":[120],"XU-3":[121],"platform":[123],"PARSEC":[128],"benchmark":[129],"model":[132],"(in":[136],"terms":[137],"IPS/Watt)":[139],"underpinning":[140],"analytical":[141],"models,":[145,154],"derived":[146],"through":[147,196],"multivariate":[148],"linear":[149],"regression":[150],"(MLR).":[151],"these":[153],"show":[156,166],"that":[157,187],"increasing":[159],"concurrent":[162,181],"CPU":[163],"variable":[167],"gains":[168],"in":[169,177],"IPS/Watt":[170,207],"compared":[171,212],"sequential":[179],"Furthermore,":[184],"demonstrate":[186],"it":[188],"possible":[190],"continuously":[192],"adapt":[193],"low-cost":[198],"linear-complexity":[200],"algorithm,":[202],"which":[203],"can":[204],"improve":[205],"by":[208],"up":[209],"125%":[211],"existing":[215],"approach.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}