{"id":"https://openalex.org/W2008093830","doi":"https://doi.org/10.1109/isqed.2012.6187575","title":"Learning based DVFS for simultaneous temperature, performance and energy management","display_name":"Learning based DVFS for simultaneous temperature, performance and energy management","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2008093830","doi":"https://doi.org/10.1109/isqed.2012.6187575","mag":"2008093830"},"language":"en","primary_location":{"id":"doi:10.1109/isqed.2012.6187575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed.2012.6187575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Symposium on Quality Electronic Design (ISQED)","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/A5052847653","display_name":"Hao Shen","orcid":"https://orcid.org/0000-0001-9869-2591"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hao Shen","raw_affiliation_strings":["EECS Department, Syracuse University, Syracuse, NY, USA","EECS Department, Syracuse University, Syracuse, NY USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"EECS Department, Syracuse University, Syracuse, NY USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086399677","display_name":"Jun L\u00fc","orcid":"https://orcid.org/0000-0001-6085-0902"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Lu","raw_affiliation_strings":["ECE Department, Binghamton University, Binghamton, NY, USA","ECE Department, Binghamton University, Binghamton NY, USA"],"affiliations":[{"raw_affiliation_string":"ECE Department, Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"ECE Department, Binghamton University, Binghamton NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018468480","display_name":"Qinru Qiu","orcid":"https://orcid.org/0000-0003-2546-0655"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qinru Qiu","raw_affiliation_strings":["EECS Department, Syracuse University, Syracuse, NY, USA","EECS Department, Syracuse University, Syracuse, NY USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"EECS Department, Syracuse University, Syracuse, NY USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052847653"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":4.0896,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.93817229,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"747","last_page":"754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9980000257492065,"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":0.943273663520813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276474237442017},{"id":"https://openalex.org/keywords/dissipation","display_name":"Dissipation","score":0.6955071091651917},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6340130567550659},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5490583777427673},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.52473384141922},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5193456411361694},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4872121214866638},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.48456326127052307},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4686809182167053},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.4435173273086548},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.41287943720817566},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.32770171761512756},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.14195996522903442},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12588566541671753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08235958218574524}],"concepts":[{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.943273663520813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276474237442017},{"id":"https://openalex.org/C135402231","wikidata":"https://www.wikidata.org/wiki/Q898440","display_name":"Dissipation","level":2,"score":0.6955071091651917},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6340130567550659},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5490583777427673},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.52473384141922},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5193456411361694},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4872121214866638},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.48456326127052307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4686809182167053},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.4435173273086548},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.41287943720817566},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.32770171761512756},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.14195996522903442},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12588566541671753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08235958218574524},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isqed.2012.6187575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed.2012.6187575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Symposium on Quality Electronic Design (ISQED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1989098018","https://openalex.org/W1997728251","https://openalex.org/W2002377960","https://openalex.org/W2096554329","https://openalex.org/W2102102711","https://openalex.org/W2118525633","https://openalex.org/W2119372557","https://openalex.org/W2121304948","https://openalex.org/W2131928121","https://openalex.org/W2133521202","https://openalex.org/W2134568800","https://openalex.org/W2138082479","https://openalex.org/W2161776409","https://openalex.org/W4238041806","https://openalex.org/W4247546971","https://openalex.org/W4248673897","https://openalex.org/W6650807564","https://openalex.org/W6677692300"],"related_works":["https://openalex.org/W2347486132","https://openalex.org/W2316789606","https://openalex.org/W2350340797","https://openalex.org/W1967088250","https://openalex.org/W4293224283","https://openalex.org/W2950501077","https://openalex.org/W2368601041","https://openalex.org/W2079984045","https://openalex.org/W2582182843","https://openalex.org/W4385360524"],"abstract_inverted_index":{"Dynamic":[0],"voltage":[1],"and":[2,55,65,76,95,125],"frequency":[3,22],"scaling":[4,63],"(DVFS)":[5],"has":[6],"been":[7],"widely":[8],"used":[9],"for":[10,27],"energy":[11,25,56,96],"reduction":[12],"in":[13],"the":[14,20,28,72,89,121,127],"modern":[15],"processors.":[16],"How":[17],"to":[18,46,71,87,117],"select":[19],"optimal":[21],"that":[23],"minimizes":[24],"dissipation":[26],"given":[29],"performance":[30,54,94],"constraint":[31],"at":[32],"runtime":[33],"is":[34,68,133],"a":[35,83,110],"nontrivial":[36],"problem.":[37],"The":[38,52,98,130],"problem":[39,90],"becomes":[40],"more":[41],"complicated":[42],"if":[43],"temperature":[44],"needs":[45],"be":[47],"constrained":[48],"(or":[49],"minimized)":[50],"simultaneously.":[51],"temperature,":[53,93],"have":[57],"different":[58],"nonlinear":[59],"relationships":[60],"with":[61],"frequency/voltage":[62],"ratio":[64],"this":[66,79],"relationship":[67],"closely":[69],"related":[70],"characteristics":[73],"of":[74,91,109,120],"hardware":[75],"applications.":[77],"In":[78],"paper,":[80],"we":[81],"design":[82],"reinforcement":[84],"learning":[85],"algorithm":[86],"tackle":[88],"simultaneous":[92],"management.":[97],"proposed":[99,131],"approach":[100,132],"allows":[101],"continuous":[102],"tradeoff":[103],"among":[104],"these":[105],"three":[106],"quality":[107],"measurement":[108],"computer":[111],"system.":[112,143],"It":[113],"also":[114],"enables":[115],"us":[116],"set":[118],"two":[119],"measurements":[122],"as":[123],"constraints":[124],"optimize":[126],"third":[128],"one.":[129],"validated":[134],"on":[135],"an":[136],"Intel":[137],"Core":[138],"2":[139],"processor":[140],"running":[141],"Linux":[142]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
