{"id":"https://openalex.org/W2956097587","doi":"https://doi.org/10.1109/hpcs48598.2019.9188112","title":"Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC","display_name":"Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2956097587","doi":"https://doi.org/10.1109/hpcs48598.2019.9188112","mag":"2956097587"},"language":"en","primary_location":{"id":"doi:10.1109/hpcs48598.2019.9188112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcs48598.2019.9188112","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":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.10970","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Andreas Gocht","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andreas Gocht","raw_affiliation_strings":["Center for Information Services and High Performance Computing (ZIH) Technische Universit\u00e4t Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Center for Information Services and High Performance Computing (ZIH) Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Robert Schone","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Schone","raw_affiliation_strings":["Center for Information Services and High Performance Computing (ZIH) Technische Universit\u00e4t Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Center for Information Services and High Performance Computing (ZIH) Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mario Bielert","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mario Bielert","raw_affiliation_strings":["Center for Information Services and High Performance Computing (ZIH) Technische Universit\u00e4t Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Center for Information Services and High Performance Computing (ZIH) Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":0.738,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68490181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"344","last_page":"347"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9973000288009644,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.996999979019165,"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/idle","display_name":"Idle","score":0.8097000122070312},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.6331999897956848},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6053000092506409},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5467000007629395},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5162000060081482},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.45980000495910645},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.45579999685287476}],"concepts":[{"id":"https://openalex.org/C16320812","wikidata":"https://www.wikidata.org/wiki/Q1812200","display_name":"Idle","level":2,"score":0.8097000122070312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519999742507935},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6331999897956848},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6053000092506409},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5467000007629395},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5162000060081482},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.45980000495910645},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.45579999685287476},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44040000438690186},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.40689998865127563},{"id":"https://openalex.org/C520301825","wikidata":"https://www.wikidata.org/wiki/Q380170","display_name":"Energy conservation","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37209999561309814},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3637999892234802},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2978000044822693},{"id":"https://openalex.org/C118993495","wikidata":"https://www.wikidata.org/wiki/Q5042828","display_name":"Electrical efficiency","level":3,"score":0.28380000591278076},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.26600000262260437},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25850000977516174},{"id":"https://openalex.org/C2984822820","wikidata":"https://www.wikidata.org/wiki/Q1123036","display_name":"Processor scheduling","level":3,"score":0.2513999938964844}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hpcs48598.2019.9188112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcs48598.2019.9188112","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:1906.10970","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.10970","pdf_url":"https://arxiv.org/pdf/1906.10970","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.10970","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.10970","pdf_url":"https://arxiv.org/pdf/1906.10970","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1545880915","https://openalex.org/W1628605343","https://openalex.org/W1964847500","https://openalex.org/W1973923004","https://openalex.org/W2008093830","https://openalex.org/W2131928121","https://openalex.org/W2463731436","https://openalex.org/W2567896716","https://openalex.org/W6755286081"],"related_works":[],"abstract_inverted_index":{"System":[0],"self-tuning":[1,53,90],"is":[2,30,37],"a":[3,89,150],"crucial":[4],"task":[5],"to":[6,86,113,129,133,141,144],"lower":[7],"the":[8,16,34,79,100,116,121,134],"energy":[9],"consumption":[10],"of":[11,63,69],"computers.":[12],"Traditional":[13],"approaches":[14,54],"decrease":[15],"processor":[17,123],"frequency":[18],"in":[19,25,78],"idle":[20,43],"or":[21],"synchronisation":[22,45],"periods.":[23],"However,":[24],"High-Performance":[26],"Computing":[27],"(HPC)":[28],"this":[29,93],"not":[31],"sufficient:":[32],"if":[33],"executed":[35],"code":[36],"load":[38],"balanced,":[39],"there":[40],"are":[41,55,127],"neither":[42],"nor":[44],"phases":[46],"that":[47],"can":[48],"be":[49],"exploited.":[50],"Therefore,":[51],"alternative":[52],"needed,":[56],"which":[57,105],"allow":[58],"exploiting":[59,120],"different":[60],"compute":[61],"characteristics":[62],"HPC":[64],"programs.":[65],"The":[66],"novel":[67],"notion":[68],"application":[70],"regions":[71,98],"based":[72],"on":[73],"function":[74],"call":[75],"stacks,":[76],"introduced":[77],"Horizon":[80],"2020":[81],"Project":[82],"READEX,":[83],"allows":[84,139],"us":[85,140],"define":[87],"such":[88],"approach.":[91],"In":[92],"paper,":[94],"we":[95,126],"combine":[96],"these":[97],"with":[99],"Q-Learning":[101],"typical":[102],"state-action":[103],"maps,":[104],"save":[106,142],"information":[107],"about":[108],"available":[109],"states,":[110],"possible":[111],"actions":[112],"take,":[114],"and":[115],"expected":[117],"rewards.":[118],"By":[119],"existing":[122],"power":[124],"interface,":[125],"able":[128],"provide":[130],"direct":[131],"feedback":[132],"learning":[135],"process.":[136],"This":[137],"approach":[138],"up":[143],"15%":[145],"energy,":[146],"while":[147],"only":[148],"adding":[149],"minor":[151],"runtime":[152],"overhead.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-07-12T00:00:00"}