{"id":"https://openalex.org/W4255401049","doi":"https://doi.org/10.1109/codes-isss.2013.6658995","title":"Learning the optimal operating point for many-core systems with extended range voltage/frequency scaling","display_name":"Learning the optimal operating point for many-core systems with extended range voltage/frequency scaling","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W4255401049","doi":"https://doi.org/10.1109/codes-isss.2013.6658995"},"language":"en","primary_location":{"id":"doi:10.1109/codes-isss.2013.6658995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codes-isss.2013.6658995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","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/A5005730523","display_name":"Da-Cheng Juan","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da-Cheng Juan","raw_affiliation_strings":["Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, U.S.A","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010950688","display_name":"Siddharth Garg","orcid":"https://orcid.org/0000-0002-6158-9512"},"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":"Siddharth Garg","raw_affiliation_strings":["Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010588616","display_name":"Jinpyo Park","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinpyo Park","raw_affiliation_strings":["Samsung Electronics, Giheung, Kyonggi-Do, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Giheung, Kyonggi-Do, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065985595","display_name":"Diana Marculescu","orcid":"https://orcid.org/0000-0002-5734-4221"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diana Marculescu","raw_affiliation_strings":["Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, U.S.A","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4403,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.94712367,"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":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"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/frequency-scaling","display_name":"Frequency scaling","score":0.8613343238830566},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6858228445053101},{"id":"https://openalex.org/keywords/operating-point","display_name":"Operating point","score":0.6573646664619446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6427701711654663},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5343049764633179},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5340795516967773},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.5243231058120728},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.518284022808075},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4661269187927246},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.45628413558006287},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.45201218128204346},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43695777654647827},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.43378961086273193},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3564775288105011},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.21678417921066284},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.16056209802627563},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15365931391716003},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09636616706848145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09429463744163513},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08209124207496643}],"concepts":[{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.8613343238830566},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6858228445053101},{"id":"https://openalex.org/C22762622","wikidata":"https://www.wikidata.org/wiki/Q628904","display_name":"Operating point","level":2,"score":0.6573646664619446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6427701711654663},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5343049764633179},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5340795516967773},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.5243231058120728},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.518284022808075},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4661269187927246},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.45628413558006287},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.45201218128204346},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43695777654647827},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.43378961086273193},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3564775288105011},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.21678417921066284},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16056209802627563},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15365931391716003},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09636616706848145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09429463744163513},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08209124207496643},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codes-isss.2013.6658995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codes-isss.2013.6658995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1894651528","https://openalex.org/W1985018624","https://openalex.org/W1998525920","https://openalex.org/W2010635096","https://openalex.org/W2015102462","https://openalex.org/W2020875745","https://openalex.org/W2023433806","https://openalex.org/W2027177485","https://openalex.org/W2064187704","https://openalex.org/W2078100540","https://openalex.org/W2081379617","https://openalex.org/W2082796103","https://openalex.org/W2101360724","https://openalex.org/W2114052846","https://openalex.org/W2115980027","https://openalex.org/W2117299787","https://openalex.org/W2155382325","https://openalex.org/W2158684546","https://openalex.org/W2169875292","https://openalex.org/W2170051345","https://openalex.org/W2170509664","https://openalex.org/W3141150936","https://openalex.org/W4212863985","https://openalex.org/W4238549726","https://openalex.org/W4240458502","https://openalex.org/W4246374952","https://openalex.org/W4250589301","https://openalex.org/W6655872142","https://openalex.org/W6751060025","https://openalex.org/W7005867534"],"related_works":["https://openalex.org/W1964872188","https://openalex.org/W2187391117","https://openalex.org/W1981809986","https://openalex.org/W2949367465","https://openalex.org/W2587048717","https://openalex.org/W4235203617","https://openalex.org/W2006359264","https://openalex.org/W4255401049","https://openalex.org/W2037063497","https://openalex.org/W2767589740"],"abstract_inverted_index":{"Near-Threshold":[0],"Computing":[1],"(NTC)":[2],"has":[3],"emerged":[4],"as":[5],"a":[6,93],"solution":[7],"that":[8,67],"promises":[9],"to":[10,55,75],"significantly":[11],"increase":[12,135],"the":[13,25,48,57,68,106],"energy":[14,84,125],"efficiency":[15],"of":[16,27],"next-generation":[17],"multi-core":[18,37],"systems.":[19],"This":[20],"paper":[21],"evaluates":[22],"and":[23,30,61,116,130],"analyzes":[24],"behavior":[26],"dynamic":[28],"voltage":[29],"frequency":[31],"scaling":[32],"(DVFS)":[33],"control":[34,113],"algorithms":[35],"for":[36,82],"systems":[38],"operating":[39,80,108],"under":[40,86,92,127,136],"near-threshold,":[41],"nominal,":[42],"or":[43,89],"turbo-mode":[44,115],"conditions.":[45,138],"We":[46],"adapt":[47],"model":[49],"selection":[50],"technique":[51],"from":[52],"machine":[53],"learning":[54],"learn":[56],"relationship":[58],"between":[59],"performance":[60],"power.":[62],"The":[63],"theoretical":[64],"results":[65,99],"show":[66,100],"resulting":[69],"models":[70],"satisfy":[71],"convexity":[72],"properties":[73],"essential":[74],"efficiently":[76],"determining":[77],"optimal":[78],"voltage/frequency":[79],"points":[81],"minimizing":[83],"consumption":[85],"throughput":[87,91,134],"constraints":[88],"maximizing":[90],"given":[94],"power":[95],"budget.":[96],"Our":[97],"experimental":[98],"that,":[101],"compared":[102],"with":[103],"DVFS":[104,112],"in":[105],"conventional":[107],"range,":[109],"extended":[110],"range":[111],"including":[114],"near-threshold":[117],"operation":[118],"achieves":[119],"an":[120],"additional":[121],"(1)":[122],"13.28%":[123],"average":[124,133],"reduction":[126],"isoperformance":[128],"conditions,":[129],"(2)":[131],"7.54%":[132],"iso-power":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
