{"id":"https://openalex.org/W2415465551","doi":"https://doi.org/10.1109/hpcsim.2016.7568420","title":"Predicting system-level power for a hybrid supercomputer","display_name":"Predicting system-level power for a hybrid supercomputer","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2415465551","doi":"https://doi.org/10.1109/hpcsim.2016.7568420","mag":"2415465551"},"language":"en","primary_location":{"id":"doi:10.1109/hpcsim.2016.7568420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcsim.2016.7568420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1605.09530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008115861","display_name":"Alina S\u00eerbu","orcid":"https://orcid.org/0000-0002-3947-7143"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alina Sirbu","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Italy","Department of Computer Science University of Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"Department of Computer Science University of Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018846170","display_name":"\u00d6zalp Babao\u011flu","orcid":"https://orcid.org/0000-0001-5848-1319"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ozalp Babaoglu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bologna, Italy","Department of Computer Science and Engineering,, University of Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Department of Computer Science and Engineering,, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008115861"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04435414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"826","last_page":"833"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9997000098228455,"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":0.9995999932289124,"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/supercomputer","display_name":"Supercomputer","score":0.8521021604537964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7752553820610046},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.681938648223877},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6035560369491577},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5168838500976562},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4635889232158661},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.45989304780960083},{"id":"https://openalex.org/keywords/job-scheduler","display_name":"Job scheduler","score":0.43693429231643677},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4347204864025116},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.41664204001426697},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.37657544016838074},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.37417858839035034},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3595220446586609},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3545253872871399},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2516358494758606},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11010712385177612}],"concepts":[{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.8521021604537964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752553820610046},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.681938648223877},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6035560369491577},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5168838500976562},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4635889232158661},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.45989304780960083},{"id":"https://openalex.org/C111873713","wikidata":"https://www.wikidata.org/wiki/Q1641413","display_name":"Job scheduler","level":3,"score":0.43693429231643677},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4347204864025116},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.41664204001426697},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.37657544016838074},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.37417858839035034},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3595220446586609},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3545253872871399},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2516358494758606},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11010712385177612},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/hpcsim.2016.7568420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcsim.2016.7568420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1605.09530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.09530","pdf_url":"https://arxiv.org/pdf/1605.09530","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2415465551","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1605.09530v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:arpi.unipi.it:11568/810498","is_oa":true,"landing_page_url":"http://ieeexplore.ieee.org/document/7568420/?reload=true","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:cris.unibo.it:11585/540900","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/540900","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1605.09530","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1605.09530","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1605.09530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.09530","pdf_url":"https://arxiv.org/pdf/1605.09530","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W829296453","https://openalex.org/W1548185962","https://openalex.org/W1974464843","https://openalex.org/W1978969737","https://openalex.org/W1988577480","https://openalex.org/W2039052145","https://openalex.org/W2042394041","https://openalex.org/W2087217490","https://openalex.org/W2100322710","https://openalex.org/W2101234009","https://openalex.org/W2108987574","https://openalex.org/W2150286877","https://openalex.org/W2252834271","https://openalex.org/W2254254903","https://openalex.org/W2269820795","https://openalex.org/W2402437550","https://openalex.org/W2538829354","https://openalex.org/W4231907117","https://openalex.org/W6675354045","https://openalex.org/W6691950125","https://openalex.org/W6696030392"],"related_works":["https://openalex.org/W2962774402","https://openalex.org/W2252834271","https://openalex.org/W2188329031","https://openalex.org/W1971960318","https://openalex.org/W2035263662","https://openalex.org/W2293086992","https://openalex.org/W2475841295","https://openalex.org/W2896980190","https://openalex.org/W2309612077","https://openalex.org/W1512529172","https://openalex.org/W2278230180","https://openalex.org/W1915230874","https://openalex.org/W1984674347","https://openalex.org/W1976930158","https://openalex.org/W2042487649","https://openalex.org/W2898929147","https://openalex.org/W2770252227","https://openalex.org/W2518008961","https://openalex.org/W2907805892","https://openalex.org/W2077305093"],"abstract_inverted_index":{"For":[0],"current":[1],"High":[2],"Performance":[3],"Computing":[4],"systems":[5,56],"to":[6,19,45,108,149,170],"scale":[7],"towards":[8],"the":[9,50,91,95,121,140,150,152,160,172,197],"holy":[10],"grail":[11],"of":[12,27,38,53,82,94,125,196,207],"ExaFLOP":[13],"performance,":[14],"their":[15],"power":[16,51,83,143,175,186],"consumption":[17,52,84],"has":[18],"be":[20,32,156,168,182,193],"reduced":[21],"by":[22,130],"at":[23,133],"least":[24],"one":[25],"order":[26],"magnitude.":[28],"This":[29],"goal":[30],"can":[31,155,166,181,192],"achieved":[33],"only":[34,201],"through":[35],"a":[36,79,86,134,185],"combination":[37],"hardware":[39],"and":[40,47,65,70,105,123,138,163,188],"software":[41],"advances.":[42],"Being":[43],"able":[44],"model":[46,81,114,165,198],"accurately":[48],"predict":[49,171],"large":[54],"computational":[55],"is":[57],"necessary":[58],"for":[59,85],"software-level":[60],"innovations":[61],"such":[62],"as":[63,116],"proactive":[64],"power-aware":[66,202],"scheduling,":[67],"resource":[68],"allocation":[69],"fault":[71],"tolerance":[72],"techniques.":[73],"In":[74],"this":[75],"paper":[76],"we":[77],"present":[78],"2-layer":[80],"hybrid":[87],"supercomputer":[88],"(which":[89],"held":[90],"top":[92],"spot":[93],"Green500":[96],"list":[97],"on":[98,159],"July":[99],"2013)":[100],"that":[101,127],"combines":[102],"CPU,":[103],"GPU":[104],"MIC":[106],"technologies":[107],"achieve":[109],"higher":[110],"energy":[111],"efficiency.":[112],"Our":[113],"takes":[115],"input":[117],"workload":[118,153,179],"information":[119],"-":[120,137],"number":[122],"location":[124],"resources":[126],"are":[128,147],"used":[129],"each":[131],"job":[132],"certain":[135],"time":[136],"calculates":[139],"resulting":[141],"system-level":[142,174],"consumption.":[144,176],"When":[145],"jobs":[146],"submitted":[148],"system,":[151],"configuration":[154],"foreseen":[157],"based":[158],"scheduler":[161],"policies,":[162],"our":[164],"then":[167],"applied":[169],"ensuing":[173],"Additionally,":[177],"alternative":[178],"configurations":[180],"evaluated":[183],"from":[184],"perspective":[187],"more":[189],"efficient":[190],"ones":[191],"selected.":[194],"Applications":[195],"include":[199],"not":[200],"scheduling":[203],"but":[204],"also":[205],"prediction":[206],"anomalous":[208],"behavior.":[209]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}