{"id":"https://openalex.org/W2041148201","doi":"https://doi.org/10.1145/2701310.2701312","title":"Scalable and Dynamic Global Power Management for Multicore Chips","display_name":"Scalable and Dynamic Global Power Management for Multicore Chips","publication_year":2015,"publication_date":"2015-01-19","ids":{"openalex":"https://openalex.org/W2041148201","doi":"https://doi.org/10.1145/2701310.2701312","mag":"2041148201"},"language":"en","primary_location":{"id":"doi:10.1145/2701310.2701312","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2701310.2701312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures","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/A5080379120","display_name":"Mwaffaq Otoom","orcid":"https://orcid.org/0000-0001-8333-2331"},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Mwaffaq Otoom","raw_affiliation_strings":["Computer Engineering Dept., Yarmouk University, Irbid 21163 Jordan"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Dept., Yarmouk University, Irbid 21163 Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043427541","display_name":"Pedro Trancoso","orcid":"https://orcid.org/0000-0002-2776-9253"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Pedro Trancoso","raw_affiliation_strings":["Computer Science Dept., University of Cyprus, Nicosia 20537 Cyprus","Computer Science Dept., University of Cyprus, Nicosia 20537 Cyprus#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Dept., University of Cyprus, Nicosia 20537 Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"Computer Science Dept., University of Cyprus, Nicosia 20537 Cyprus#TAB#","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085646919","display_name":"Hisham M. Almasaeid","orcid":"https://orcid.org/0000-0002-6840-8956"},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Hisham Almasaeid","raw_affiliation_strings":["Computer Engineering Dept., Yarmouk University, Irbid 21163 Jordan"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Dept., Yarmouk University, Irbid 21163 Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045794552","display_name":"Mohammad A. Alzubaidi","orcid":"https://orcid.org/0000-0002-8344-623X"},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mohammad Alzubaidi","raw_affiliation_strings":["Computer Engineering Dept., Yarmouk University, Irbid 21163 Jordan"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Dept., Yarmouk University, Irbid 21163 Jordan","institution_ids":["https://openalex.org/I85507684"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080379120"],"corresponding_institution_ids":["https://openalex.org/I85507684"],"apc_list":null,"apc_paid":null,"fwci":2.2609,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8777147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9991999864578247,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7754952311515808},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6926872730255127},{"id":"https://openalex.org/keywords/power-budget","display_name":"Power budget","score":0.6839884519577026},{"id":"https://openalex.org/keywords/power-management","display_name":"Power management","score":0.6831194162368774},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6779016852378845},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6451877951622009},{"id":"https://openalex.org/keywords/frequency-scaling","display_name":"Frequency scaling","score":0.6003984212875366},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5807154774665833},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5699164867401123},{"id":"https://openalex.org/keywords/parsec","display_name":"Parsec","score":0.5491398572921753},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.49352943897247314},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4754078984260559},{"id":"https://openalex.org/keywords/power-domains","display_name":"Power domains","score":0.4623033106327057},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4345550239086151},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4117940068244934},{"id":"https://openalex.org/keywords/power-control","display_name":"Power control","score":0.3878331780433655},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3402954936027527},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.17824122309684753},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15437498688697815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11393523216247559},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10775730013847351}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7754952311515808},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6926872730255127},{"id":"https://openalex.org/C149768029","wikidata":"https://www.wikidata.org/wiki/Q1509342","display_name":"Power budget","level":4,"score":0.6839884519577026},{"id":"https://openalex.org/C2778774385","wikidata":"https://www.wikidata.org/wiki/Q4437810","display_name":"Power management","level":3,"score":0.6831194162368774},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6779016852378845},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6451877951622009},{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.6003984212875366},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5807154774665833},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5699164867401123},{"id":"https://openalex.org/C44060867","wikidata":"https://www.wikidata.org/wiki/Q12129","display_name":"Parsec","level":3,"score":0.5491398572921753},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.49352943897247314},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4754078984260559},{"id":"https://openalex.org/C16021271","wikidata":"https://www.wikidata.org/wiki/Q17152552","display_name":"Power domains","level":3,"score":0.4623033106327057},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4345550239086151},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4117940068244934},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.3878331780433655},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3402954936027527},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.17824122309684753},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15437498688697815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11393523216247559},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10775730013847351},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2701310.2701312","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2701310.2701312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1975844231","https://openalex.org/W1985018624","https://openalex.org/W2022915202","https://openalex.org/W2039936456","https://openalex.org/W2044330868","https://openalex.org/W2050764578","https://openalex.org/W2064187704","https://openalex.org/W2096875061","https://openalex.org/W2100476737","https://openalex.org/W2100799944","https://openalex.org/W2113647185","https://openalex.org/W2117299787","https://openalex.org/W2118525633","https://openalex.org/W2131928121","https://openalex.org/W2134882198","https://openalex.org/W2136325278","https://openalex.org/W2139893873","https://openalex.org/W2147657366","https://openalex.org/W2161503697","https://openalex.org/W2166151045","https://openalex.org/W2169242418","https://openalex.org/W2169875292","https://openalex.org/W3145579537","https://openalex.org/W4236302577","https://openalex.org/W4248440948"],"related_works":["https://openalex.org/W2046107229","https://openalex.org/W2549004507","https://openalex.org/W4287778142","https://openalex.org/W3025960525","https://openalex.org/W2134782496","https://openalex.org/W2095847419","https://openalex.org/W3043023258","https://openalex.org/W4238485050","https://openalex.org/W2188576602","https://openalex.org/W2111468482"],"abstract_inverted_index":{"The":[0,36,93,107,121],"design":[1],"for":[2,64,139],"continuous":[3],"computer":[4],"performance":[5,46,134],"is":[6,41,135,147],"increasingly":[7],"becoming":[8],"limited":[9],"by":[10,137,149],"the":[11,15,22,39,44,57,61,75,87,102,105,112,129,132,145,153],"exponential":[12,58],"increase":[13],"in":[14,125],"power":[16,33,50,62,88,94,142],"consumption.":[17],"In":[18],"order":[19],"to":[20,42,85,152],"improve":[21],"energy":[23],"efficiency":[24],"of":[25,38,60,104],"multicore":[26],"chips,":[27],"we":[28,67],"propose":[29],"a":[30,48,69,81,117,140],"novel":[31],"global":[32],"management":[34,63],"technique.":[35],"goal":[37],"technique":[40,108,131],"deliver":[43],"maximum":[45],"at":[47,74,98],"fixed":[49,141],"budget,":[51],"without":[52],"significant":[53],"overhead.":[54],"To":[55],"tackle":[56],"complexity":[59],"multiple":[65],"cores,":[66],"apply":[68],"Reinforcement":[70],"Learning":[71],"technique,":[72],"Q-learning,":[73],"core":[76],"level":[77],"and":[78],"then":[79],"use":[80],"chip-level":[82],"intelligent":[83],"controller":[84],"optimize":[86],"distribution":[89],"among":[90],"all":[91],"cores.":[92],"assignment":[95],"adapts":[96],"dynamically":[97],"runtime":[99],"depending":[100],"on":[101,116],"needs":[103],"applications.":[106],"was":[109],"evaluated":[110],"using":[111],"PARSEC":[113],"benchmark":[114],"suite":[115],"full":[118],"system":[119],"simulator.":[120],"experimental":[122],"results":[123],"show,":[124],"average,":[126],"that":[127],"with":[128],"proposed":[130],"overall":[133],"increased":[136],"39%":[138],"budget":[143],"while":[144],"EDP":[146],"improved":[148],"28%,":[150],"compared":[151],"non-DVFS":[154],"baseline":[155],"implementation.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
