{"id":"https://openalex.org/W3145218983","doi":"https://doi.org/10.1109/iccad.2011.6105393","title":"Identifying the optimal energy-efficient operating points of parallel workloads","display_name":"Identifying the optimal energy-efficient operating points of parallel workloads","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W3145218983","doi":"https://doi.org/10.1109/iccad.2011.6105393","mag":"3145218983"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2011.6105393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2011.6105393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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/A5064396979","display_name":"Ryan Cochran","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ryan Cochran","raw_affiliation_strings":["School of Engineering, Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090612785","display_name":"Can Hankendi","orcid":null},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Can Hankendi","raw_affiliation_strings":["ECE Department, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"ECE Department, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064676631","display_name":"Ayse K. Coskun","orcid":"https://orcid.org/0000-0002-6554-088X"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayse Coskun","raw_affiliation_strings":["ECE Department, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"ECE Department, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015719218","display_name":"Sherief Reda","orcid":"https://orcid.org/0000-0001-8232-4516"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sherief Reda","raw_affiliation_strings":["School of Engineering, Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064396979"],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":1.2593,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.82552257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"608","last_page":"615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.991599977016449,"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":0.991599977016449,"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":0.9891999959945679,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.98580002784729,"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":0.8350328207015991},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7135003805160522},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6202800273895264},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5595335364341736},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.5462668538093567},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.48797816038131714},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.41559261083602905},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4150472581386566},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.338251531124115},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.18157747387886047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8350328207015991},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7135003805160522},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6202800273895264},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5595335364341736},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.5462668538093567},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.48797816038131714},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.41559261083602905},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4150472581386566},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.338251531124115},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.18157747387886047},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad.2011.6105393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2011.6105393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1980351017","https://openalex.org/W1998425646","https://openalex.org/W2009163448","https://openalex.org/W2081379617","https://openalex.org/W2100346277","https://openalex.org/W2101360724","https://openalex.org/W2101903894","https://openalex.org/W2102086467","https://openalex.org/W2116175063","https://openalex.org/W2117299787","https://openalex.org/W2132420603","https://openalex.org/W2140959087","https://openalex.org/W2149212714","https://openalex.org/W2161036704","https://openalex.org/W3139430989","https://openalex.org/W4240567521","https://openalex.org/W4243294372","https://openalex.org/W4244601486","https://openalex.org/W4254014143","https://openalex.org/W6675519534","https://openalex.org/W6677377052","https://openalex.org/W6678041059"],"related_works":["https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2990194547","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W1480123525","https://openalex.org/W2620865396","https://openalex.org/W2414054180"],"abstract_inverted_index":{"As":[0],"the":[1,21,53,114,134,146,152,198],"number":[2,59,148,199],"of":[3,20,60,73,97,121,149,189,200],"cores":[4],"per":[5],"processor":[6],"grows,":[7],"there":[8],"is":[9],"a":[10,71,94,101,119,186],"strong":[11],"incentive":[12],"to":[13,17,26,34,37,131,169,176,178],"develop":[14],"parallel":[15,29,68,98],"workloads":[16,30,69,99],"take":[18],"advantage":[19],"hardware":[22],"parallelism.":[23],"In":[24],"comparison":[25],"single-threaded":[27],"applications,":[28],"are":[31],"more":[32],"complex":[33],"characterize":[35],"due":[36],"thread":[38],"interactions":[39],"and":[40,48,62,76,151],"resource":[41],"stalls.":[42],"This":[43,174],"paper":[44],"presents":[45],"an":[46,87],"accurate":[47],"scalable":[49],"method":[50,163],"for":[51,67,80,93,138],"determining":[52],"optimal":[54,115,147],"system":[55,116,202],"operating":[56,203],"points":[57,204],"(i.e.,":[58],"threads":[61,150],"DVFS":[63,153],"settings)":[64],"at":[65],"runtime":[66],"under":[70],"set":[72,91],"objective":[74],"functions":[75],"constraints":[77],"that":[78,112,161],"optimize":[79],"energy":[81,139],"efficiency":[82],"in":[83,182],"multi-core":[84,103],"processors.":[85],"Using":[86],"extensive":[88],"training":[89],"data":[90],"gathered":[92],"wide":[95],"range":[96],"on":[100],"commercial":[102],"system,":[104],"we":[105],"construct":[106],"multinomial":[107],"logistic":[108],"regression":[109],"(MLR)":[110],"models":[111],"estimate":[113],"settings":[117],"as":[118,197],"function":[120],"workload":[122,136],"characteristics.":[123],"We":[124],"use":[125],"L":[126],"<sub":[127],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[129],"-regularization":[130],"automatically":[132],"determine":[133],"relevant":[135],"metrics":[137],"optimization.":[140],"At":[141],"runtime,":[142],"our":[143,162],"technique":[144,192],"determines":[145],"setting":[154],"with":[155,167,185],"negligible":[156],"overhead.":[157],"Our":[158,191],"experiments":[159],"demonstrate":[160],"outperforms":[164],"prior":[165],"techniques":[166],"up":[168,177],"51%":[170],"improved":[171],"decision":[172],"accuracy.":[173],"translates":[175],"10.6%":[179],"average":[180],"improvement":[181,188],"energy-performance":[183],"operation,":[184],"maximum":[187],"30.9%.":[190],"also":[193],"demonstrates":[194],"superior":[195],"scalability":[196],"potential":[201],"increases.":[205]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
