{"id":"https://openalex.org/W2798483898","doi":"https://doi.org/10.1109/hpcs48598.2019.9188110","title":"Energy-Optimal Configurations for Single-Node HPC Applications","display_name":"Energy-Optimal Configurations for Single-Node HPC Applications","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2798483898","doi":"https://doi.org/10.1109/hpcs48598.2019.9188110","mag":"2798483898"},"language":"en","primary_location":{"id":"doi:10.1109/hpcs48598.2019.9188110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcs48598.2019.9188110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.00998","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047627618","display_name":"Vitor R. G. Silva","orcid":"https://orcid.org/0000-0003-4582-9245"},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Vitor R. G. Silva","raw_affiliation_strings":["Dept. of Electronics and Microeletronics, University of Mons, Mons, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Microeletronics, University of Mons, Mons, Belgium","institution_ids":["https://openalex.org/I130929987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046052658","display_name":"Alex F. A. Furtunato","orcid":"https://orcid.org/0000-0002-4201-0827"},"institutions":[{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alex F. A. Furtunato","raw_affiliation_strings":["Directorate of Information Technology, Instituto Federal do Rio Grande do Norte, Natal, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Directorate of Information Technology, Instituto Federal do Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I3020002803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104805182","display_name":"Kyriakos Georgiou","orcid":"https://orcid.org/0000-0002-6017-3320"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kyriakos Georgiou","raw_affiliation_strings":["Dept. of Computer Science, University of Bristol, Bristol, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Bristol, Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Carlos A. V. Sakuyama","orcid":null},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Carlos A. V. Sakuyama","raw_affiliation_strings":["Dept. of Electronics and Microeletronics, University of Mons, Mons, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Microeletronics, University of Mons, Mons, Belgium","institution_ids":["https://openalex.org/I130929987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033095054","display_name":"Kerstin Eder","orcid":"https://orcid.org/0000-0001-9746-1409"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kerstin Eder","raw_affiliation_strings":["Dept. of Computer Science, University of Bristol, Bristol, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Bristol, Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068745057","display_name":"Samuel Xavier\u2010de\u2010Souza","orcid":"https://orcid.org/0000-0001-8747-4580"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel Xavier-de-Souza","raw_affiliation_strings":["Dept. of Computer Engineering and Automation, Universidade Fedral do Rio Grande do Norte, Natal, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering and Automation, Universidade Fedral do Rio Grande do Norte, Natal, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0777,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71563136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"448","last_page":"454"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9995999932289124,"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":0.9994000196456909,"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":0.7263988256454468},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6493844985961914},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5731619000434875},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5266568660736084},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.517206072807312},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5114964246749878},{"id":"https://openalex.org/keywords/parsec","display_name":"Parsec","score":0.45168337225914},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.41322994232177734},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34249210357666016},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.33709996938705444},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3233703076839447},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10705944895744324},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10654416680335999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263988256454468},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6493844985961914},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5731619000434875},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5266568660736084},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.517206072807312},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5114964246749878},{"id":"https://openalex.org/C44060867","wikidata":"https://www.wikidata.org/wiki/Q12129","display_name":"Parsec","level":3,"score":0.45168337225914},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.41322994232177734},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34249210357666016},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.33709996938705444},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3233703076839447},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10705944895744324},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10654416680335999},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C150846664","wikidata":"https://www.wikidata.org/wiki/Q7602306","display_name":"Stars","level":2,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural 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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/hpcs48598.2019.9188110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcs48598.2019.9188110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1805.00998","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.00998","pdf_url":"https://arxiv.org/pdf/1805.00998","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},{"id":"mag:2798483898","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1805.00998","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"doi:10.48550/arxiv.1805.00998","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1805.00998","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.00998","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.00998","pdf_url":"https://arxiv.org/pdf/1805.00998","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798483898.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1495021188","https://openalex.org/W1628605343","https://openalex.org/W1964357740","https://openalex.org/W1966293529","https://openalex.org/W2001937343","https://openalex.org/W2012465543","https://openalex.org/W2046580775","https://openalex.org/W2058791894","https://openalex.org/W2059634925","https://openalex.org/W2070525241","https://openalex.org/W2073499905","https://openalex.org/W2080375791","https://openalex.org/W2088566334","https://openalex.org/W2094080366","https://openalex.org/W2118955868","https://openalex.org/W2134807578","https://openalex.org/W2137226992","https://openalex.org/W2147138172","https://openalex.org/W2149009819","https://openalex.org/W2169875292","https://openalex.org/W2203862213","https://openalex.org/W2497685462","https://openalex.org/W2765818822","https://openalex.org/W3145218983","https://openalex.org/W4251091605","https://openalex.org/W6675354045","https://openalex.org/W6680532697"],"related_works":["https://openalex.org/W3086245668","https://openalex.org/W2808188945","https://openalex.org/W1915230874","https://openalex.org/W1972353002","https://openalex.org/W2237923431","https://openalex.org/W1985848498","https://openalex.org/W2296629286","https://openalex.org/W2473667855","https://openalex.org/W3101447372","https://openalex.org/W2943745525","https://openalex.org/W2886682023","https://openalex.org/W2027177485","https://openalex.org/W2556446894","https://openalex.org/W2792585858","https://openalex.org/W2787634739","https://openalex.org/W2021819016","https://openalex.org/W2999693624","https://openalex.org/W2497685462","https://openalex.org/W2776541528","https://openalex.org/W2475841295"],"abstract_inverted_index":{"Energy":[0],"efficiency":[1,140],"is":[2,87,105],"a":[3,36],"growing":[4],"concern":[5],"for":[6,10,146],"modern":[7],"computing,":[8],"especially":[9],"HPC":[11,50],"due":[12],"to":[13,38,47,129,137,166],"operational":[14],"costs":[15],"and":[16,42,60,93,118,133,173],"the":[17,58,66,70,77,84,99,109,115,119,123,157,167],"environmental":[18],"impact,":[19],"considering":[20],"that":[21,156],"processors":[22],"have":[23],"an":[24,53,61],"important":[25],"role":[26],"in":[27,170],"this":[28,32],"energy":[29,139,163],"consumption.":[30],"In":[31],"work,":[33],"we":[34],"propose":[35],"methodology":[37],"find":[39,130],"energy-optimal":[40,103],"frequency":[41,132],"number":[43,134],"of":[44,57,65,98,135],"active":[45],"cores":[46,136],"run":[48],"single-node":[49],"applications":[51,149],"using":[52,73],"application-agnostic":[54],"power":[55,85,95,116],"model":[56,64,117,125],"architecture":[59],"architecture-aware":[62],"performance":[63,72,120],"application.":[67,100],"We":[68],"characterize":[69],"application":[71,141],"machine":[74],"learning,":[75],"specifically":[76],"\u201cSupport":[78],"Vector":[79],"Regression\u201d":[80],"algorithm.":[81],"Besides":[82],"that,":[83],"consumption":[86],"estimated":[88,106],"by":[89,107],"modeling":[90],"CMOS":[91],"dynamic":[92],"static":[94],"without":[96],"knowledge":[97],"So,":[101],"The":[102],"configuration":[104],"minimizing":[108],"product":[110],"these":[111],"two":[112],"models":[113],"outcomes,":[114],"model.":[121],"Then,":[122],"final":[124],"can":[126],"be":[127],"used":[128,160],"better":[131],"aim":[138],"execution.":[142],"Results":[143],"were":[144],"obtained":[145],"four":[147],"PARSEC":[148],"and,":[150],"with":[151],"five":[152],"different":[153],"inputs":[154],"shows":[155],"proposed":[158],"approach":[159],"substantially":[161],"less":[162],"when":[164],"compared":[165],"DVFS":[168],"governor,":[169],"best":[171],"cases":[172],"worst":[174],"cases.":[175]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}