{"id":"https://openalex.org/W2780884712","doi":"https://doi.org/10.14529/jsfi170404","title":"Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling","display_name":"Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2780884712","doi":"https://doi.org/10.14529/jsfi170404","mag":"2780884712"},"language":"en","primary_location":{"id":"doi:10.14529/jsfi170404","is_oa":true,"landing_page_url":"https://doi.org/10.14529/jsfi170404","pdf_url":null,"source":{"id":"https://openalex.org/S4210177204","display_name":"Supercomputing Frontiers and Innovations","issn_l":"2313-8734","issn":["2313-8734","2409-6008"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310312680","host_organization_name":"Publishing center of the South Ural State University","host_organization_lineage":["https://openalex.org/P4310312680"],"host_organization_lineage_names":["Publishing center of the South Ural State University"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Supercomputing Frontiers and Innovations","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.14529/jsfi170404","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013795937","display_name":"Arsalan Shahid","orcid":"https://orcid.org/0000-0002-3748-6361"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Arsalan Shahid","raw_affiliation_strings":["School of Computer Science, University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004717582","display_name":"Muhammad Fahad","orcid":"https://orcid.org/0000-0002-3595-8484"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Muhammad Fahad","raw_affiliation_strings":["School of Computer Science, University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109895885","display_name":"Ravi Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ravi Reddy","raw_affiliation_strings":["School of Computer Science, University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084068586","display_name":"Alexey Lastovetsky","orcid":"https://orcid.org/0000-0001-9460-3897"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Alexey Lastovetsky","raw_affiliation_strings":["School of Computer Science, University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100930933"],"apc_list":null,"apc_paid":null,"fwci":2.2371,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90061364,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"4","issue":"4","first_page":null,"last_page":null},"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/T12238","display_name":"Green IT and Sustainability","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9980000257492065,"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":0.7295175194740295},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.6490100622177124},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6438040137290955},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5391839146614075},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5035292506217957},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44122976064682007},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3889874219894409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36623597145080566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3467140793800354},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20167666673660278},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14471518993377686},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08146747946739197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7295175194740295},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.6490100622177124},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6438040137290955},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5391839146614075},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5035292506217957},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44122976064682007},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3889874219894409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36623597145080566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3467140793800354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20167666673660278},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14471518993377686},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08146747946739197},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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:10.14529/jsfi170404","is_oa":true,"landing_page_url":"https://doi.org/10.14529/jsfi170404","pdf_url":null,"source":{"id":"https://openalex.org/S4210177204","display_name":"Supercomputing Frontiers and Innovations","issn_l":"2313-8734","issn":["2313-8734","2409-6008"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310312680","host_organization_name":"Publishing center of the South Ural State University","host_organization_lineage":["https://openalex.org/P4310312680"],"host_organization_lineage_names":["Publishing center of the South Ural State University"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Supercomputing Frontiers and Innovations","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.14529/jsfi170404","is_oa":true,"landing_page_url":"https://doi.org/10.14529/jsfi170404","pdf_url":null,"source":{"id":"https://openalex.org/S4210177204","display_name":"Supercomputing Frontiers and Innovations","issn_l":"2313-8734","issn":["2313-8734","2409-6008"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310312680","host_organization_name":"Publishing center of the South Ural State University","host_organization_lineage":["https://openalex.org/P4310312680"],"host_organization_lineage_names":["Publishing center of the South Ural State University"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Supercomputing Frontiers and Innovations","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W103461668","https://openalex.org/W1679689118","https://openalex.org/W1961751213","https://openalex.org/W1980351017","https://openalex.org/W1995308043","https://openalex.org/W2021752456","https://openalex.org/W2087217490","https://openalex.org/W2092810906","https://openalex.org/W2121592493","https://openalex.org/W2124695036","https://openalex.org/W2129162721","https://openalex.org/W2524353803","https://openalex.org/W2561036834","https://openalex.org/W2727655179","https://openalex.org/W2733988978"],"related_works":["https://openalex.org/W2389015757","https://openalex.org/W4297745244","https://openalex.org/W4214628662","https://openalex.org/W2037518538","https://openalex.org/W2156822401","https://openalex.org/W3092380670","https://openalex.org/W3125847301","https://openalex.org/W4313390786","https://openalex.org/W2356819012","https://openalex.org/W2058610663"],"abstract_inverted_index":{"Performance":[0],"events":[1],"or":[2],"performance":[3],"monitoring":[4],"counters":[5],"(PMCs)":[6],"are":[7,69,97,215,367,376],"now":[8],"the":[9,28,42,46,104,122,155,173,177,188,195,218,221,234,239,257,272,279,301,307,311,315,330,336,382,385],"dominant":[10],"predictor":[11,114,213,224,374],"variables":[12,115,214,225,375],"for":[13,33,129,145,164,194,226,238,262,278,299,310],"modeling":[14,36,130],"energy":[15,34,101,166,178,191,204],"consumption.":[16,102],"Modern":[17],"hardware":[18],"processors":[19],"provide":[20],"a":[21,38,53,72,81,110,141,181,227,251,260,263,292,323,345,350],"large":[22],"set":[23],"of":[24,27,31,113,157,180,184,190,198,223,230,236,242,259,266,274,282,319,332,389],"PMCs.":[25],"Determination":[26],"best":[29],"subset":[30,82,156],"PMCs":[32,47,127,146,158,321,333,361],"predictive":[35,167,203],"is":[37,170,187,206,233,248,269,287],"non-trivial":[39],"task":[40],"given":[41],"fact":[43],"that":[44,116,159,176,220,256,359,366],"all":[45],"can":[48,150,160],"not":[49,85,108],"be":[50,87,151,162],"determined":[51],"using":[52],"single":[54],"application":[55,91,298,312],"run.":[56],"Several":[57],"techniques":[58,68,106],"have":[59,107,118],"been":[60,119],"devised":[61],"to":[62,79,100,125,153,271],"address":[63,133],"this":[64,134,137],"challenge.":[65],"While":[66],"some":[67,75],"based":[70,171,249],"on":[71,172,250,291,314,349],"statistical":[73],"methodology,":[74],"use":[76,318],"expert":[77],"advice":[78],"pick":[80],"(that":[83],"may":[84],"necessarily":[86],"obtained":[88,277],"in":[89,94,121,136,217,322,362,370],"one":[90],"run)":[92],"that,":[93],"experts'":[95],"opinion,":[96],"significant":[98],"contributors":[99],"However,":[103],"existing":[105],"considered":[109],"fundamental":[111],"property":[112],"should":[117],"applied":[120],"first":[123],"place":[124],"remove":[126],"unfit":[128],"energy.":[131],"We":[132,139,328,357],"oversight":[135],"paper.":[138],"propose":[140],"novel":[142],"selection":[143],"criterion":[144],"called":[147],"additivity,":[148],"which":[149,300],"used":[152,163,369],"determine":[154],"potentially":[161],"reliable":[165],"modeling.":[168],"It":[169],"experimental":[174,347],"observation":[175],"consumption":[179],"serial":[182,228,264],"execution":[183,197,229,241,265,281,313],"two":[185,231,267],"applications":[186,232,268],"sum":[189,235,273],"consumptions":[192],"observed":[193,309],"individual":[196,240,280],"each":[199,243,283],"application.":[200,244,284],"A":[201],"linear":[202],"model":[205,324],"consistent":[207],"if":[208,211,294],"and":[209,253,341,364,384],"only":[210],"its":[212,275],"additive":[216],"sense":[219],"vector":[222],"vectors":[237],"The":[245,285,317],"criterion,":[246],"therefore,":[247],"simple":[252],"intuitive":[254],"rule":[255],"value":[258,303,308],"PMC":[261,286],"equal":[270],"values":[276],"branded":[288],"as":[289,372],"non-additive":[290,320],"platform":[293],"there":[295],"exists":[296],"an":[297],"calculated":[302],"differs":[304],"significantly":[305],"from":[306],"platform.":[316],"renders":[325],"it":[326],"inconsistent.":[327],"study":[329],"additivity":[331],"offered":[334],"by":[335,343],"popular":[337],"state-of-the-art":[338],"tools,":[339],"Likwid":[340,363],"PAPI,":[342],"employing":[344],"detailed":[346],"methodology":[348],"modern":[351],"Intel":[352],"Haswell":[353],"multicore":[354],"server":[355],"CPU.":[356],"show":[358],"many":[360],"PAPI":[365],"widely":[368],"models":[371],"key":[373],"non-additive.":[377],"This":[378],"brings":[379],"into":[380],"question":[381],"reliability":[383],"reported":[386],"prediction":[387],"accuracy":[388],"these":[390],"models.":[391]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-01-05T00:00:00"}
