{"id":"https://openalex.org/W3146266512","doi":"https://doi.org/10.1109/date.2012.6176641","title":"Reducing the energy cost of computing through efficient co-scheduling of parallel workloads","display_name":"Reducing the energy cost of computing through efficient co-scheduling of parallel workloads","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W3146266512","doi":"https://doi.org/10.1109/date.2012.6176641","mag":"3146266512"},"language":"en","primary_location":{"id":"doi:10.1109/date.2012.6176641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/date.2012.6176641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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/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":true,"raw_author_name":"C. Hankendi","raw_affiliation_strings":["Electrical and Computer Engineering Department, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","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":"A. K. Coskun","raw_affiliation_strings":["Electrical and Computer Engineering Department, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090612785"],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":null,"apc_paid":null,"fwci":2.1316,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91367339,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"994","last_page":"999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998999834060669,"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"}},{"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9993000030517578,"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":0.853929877281189},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7070921063423157},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6305400729179382},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.6185610294342041},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5920925140380859},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5814481377601624},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4986000061035156},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.48506632447242737},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.46246689558029175},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.42524904012680054},{"id":"https://openalex.org/keywords/fixed-priority-pre-emptive-scheduling","display_name":"Fixed-priority pre-emptive scheduling","score":0.4141804277896881},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.3948312997817993},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.35759949684143066},{"id":"https://openalex.org/keywords/rate-monotonic-scheduling","display_name":"Rate-monotonic scheduling","score":0.29922735691070557},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.209869384765625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.853929877281189},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7070921063423157},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6305400729179382},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6185610294342041},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5920925140380859},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5814481377601624},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4986000061035156},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.48506632447242737},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.46246689558029175},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.42524904012680054},{"id":"https://openalex.org/C122141398","wikidata":"https://www.wikidata.org/wiki/Q5456330","display_name":"Fixed-priority pre-emptive scheduling","level":5,"score":0.4141804277896881},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.3948312997817993},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.35759949684143066},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.29922735691070557},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.209869384765625},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/date.2012.6176641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/date.2012.6176641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316785","display_name":"VMware","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1520679476","https://openalex.org/W1532257187","https://openalex.org/W2005456951","https://openalex.org/W2038337218","https://openalex.org/W2054604581","https://openalex.org/W2064359039","https://openalex.org/W2100346277","https://openalex.org/W2116175063","https://openalex.org/W2118955868","https://openalex.org/W2129846162","https://openalex.org/W2134909974","https://openalex.org/W2136244995","https://openalex.org/W2140959087","https://openalex.org/W2143422158","https://openalex.org/W2144509871","https://openalex.org/W4231353222","https://openalex.org/W6631228652","https://openalex.org/W6631826292","https://openalex.org/W6651759044","https://openalex.org/W6664239682","https://openalex.org/W6677377052"],"related_works":["https://openalex.org/W1545991362","https://openalex.org/W2545511463","https://openalex.org/W1935185185","https://openalex.org/W1601260131","https://openalex.org/W3184267879","https://openalex.org/W1552447518","https://openalex.org/W2167574351","https://openalex.org/W4300092030","https://openalex.org/W3010906348","https://openalex.org/W2912206708"],"abstract_inverted_index":{"Future":[0],"computing":[1],"clusters":[2],"will":[3],"prevalently":[4],"run":[5],"parallel":[6,48,83],"workloads":[7,49,84,114],"to":[8,26,111,140,143],"take":[9],"advantage":[10],"of":[11,15,30,57,69,81,135],"the":[12,70,73,79,86,108,123,129,136],"increasing":[13],"number":[14,56],"cores":[16],"on":[17,42,85,93,97,115],"chips.":[18],"In":[19],"tandem,":[20],"there":[21],"is":[22,39,50],"a":[23,51,55,102,116],"growing":[24],"need":[25],"reduce":[27],"energy":[28,37,87,131],"consumption":[29],"computing.":[31],"One":[32],"promising":[33],"method":[34,127],"for":[35,47],"improving":[36],"efficiency":[38],"co-scheduling":[40,82,126],"applications":[41,71],"compute":[43],"nodes.":[44],"Efficient":[45],"consolidation":[46],"challenging":[52],"task":[53],"as":[54,60],"factors,":[58],"such":[59],"scalability,":[61],"inter-thread":[62],"communication":[63],"patterns,":[64],"or":[65],"memory":[66],"access":[67],"frequency":[68],"affect":[72],"energy/performance":[74],"tradeoffs.":[75],"This":[76],"paper":[77],"evaluates":[78],"impact":[80],"consumed":[88],"per":[89,132],"useful":[90],"work":[91,133],"done":[92],"real-life":[94],"servers.":[95],"Based":[96],"this":[98],"analysis,":[99],"we":[100],"propose":[101],"novel":[103],"multi-level":[104,125],"technique":[105],"that":[106,122],"selects":[107],"best":[109],"policy":[110],"co-schedule":[112],"multiple":[113],"multi-core":[117,137],"processor.":[118],"Our":[119],"measurements":[120],"demonstrate":[121],"proposed":[124],"improves":[128],"overall":[130],"savings":[134],"system":[138],"up":[139],"22%":[141],"compared":[142],"state-of-the-art":[144],"techniques.":[145]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"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"}