{"id":"https://openalex.org/W3036137976","doi":"https://doi.org/10.1145/3391812.3396270","title":"HPC Workload Characterization Using Feature Selection and Clustering","display_name":"HPC Workload Characterization Using Feature Selection and Clustering","publication_year":2020,"publication_date":"2020-06-16","ids":{"openalex":"https://openalex.org/W3036137976","doi":"https://doi.org/10.1145/3391812.3396270","mag":"3036137976"},"language":"en","primary_location":{"id":"doi:10.1145/3391812.3396270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3391812.3396270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics","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/A5090081252","display_name":"Jiwoo Bang","orcid":"https://orcid.org/0000-0002-3556-2535"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jiwoo Bang","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087165093","display_name":"Chungyong Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chungyong Kim","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043129695","display_name":"Kesheng Wu","orcid":"https://orcid.org/0000-0002-6907-3393"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kesheng Wu","raw_affiliation_strings":["Lawrence Berkeley National Laboratory, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068293431","display_name":"Alex Sim","orcid":"https://orcid.org/0000-0002-6295-1982"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Sim","raw_affiliation_strings":["Lawrence Berkeley National Laboratory, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062233562","display_name":"Suren Byna","orcid":"https://orcid.org/0000-0003-3048-3448"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suren Byna","raw_affiliation_strings":["Lawrence Berkeley National Laboratory, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102708750","display_name":"Sunggon Kim","orcid":"https://orcid.org/0000-0002-2295-3385"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunggon Kim","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055059863","display_name":"Hyeonsang Eom","orcid":"https://orcid.org/0000-0002-1902-6767"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeonsang Eom","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5090081252"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":1.4556,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83418049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9984999895095825,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9884999990463257,"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":0.810100257396698},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7331114411354065},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6969699859619141},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.6509965658187866},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5706907510757446},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.5380738377571106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5338906645774841},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5204463601112366},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5064951181411743},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4933113157749176},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.4816826283931732},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45036834478378296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40622925758361816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33588671684265137},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.21514856815338135},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12820565700531006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810100257396698},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7331114411354065},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6969699859619141},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.6509965658187866},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5706907510757446},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.5380738377571106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5338906645774841},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5204463601112366},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5064951181411743},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4933113157749176},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.4816826283931732},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45036834478378296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40622925758361816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33588671684265137},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.21514856815338135},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12820565700531006},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3391812.3396270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3391812.3396270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics","raw_type":"proceedings-article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt5qr9m6th","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/5qr9m6th","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1990867478","https://openalex.org/W2003144493","https://openalex.org/W2003797551","https://openalex.org/W2039546699","https://openalex.org/W2070230130","https://openalex.org/W2111556044","https://openalex.org/W2116335710","https://openalex.org/W2124452188","https://openalex.org/W2611060033","https://openalex.org/W2765610316","https://openalex.org/W2954028704","https://openalex.org/W2963729913","https://openalex.org/W4234211319","https://openalex.org/W4382677476"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W1967492795","https://openalex.org/W4389539476"],"abstract_inverted_index":{"Large":[0],"high-performance":[1],"computers":[2],"(HPC)":[3],"are":[4,80,250],"expensive":[5],"tools":[6],"responsible":[7],"for":[8,26,177],"supporting":[9],"thousands":[10],"of":[11,24,91,127,147,212,247],"scientific":[12],"applications.":[13,74],"However,":[14],"it":[15],"is":[16],"not":[17],"easy":[18],"to":[19,28,56,62,71,83,121,252],"determine":[20],"the":[21,31,39,44,77,84,128,139,162,186],"best":[22,29,191],"set":[23,126],"configurations":[25,41],"workloads":[27,130],"utilize":[30],"storage":[32],"and":[33,100,103,137,157,160,171,221,243],"I/O":[34,63,85,207,239,255],"systems.":[35],"Users":[36],"typically":[37,48],"use":[38],"default":[40],"provided":[42],"by":[43,218],"system":[45],"administrators,":[46],"which":[47],"results":[49],"in":[50],"poor":[51],"performance.":[52],"In":[53],"an":[54],"effort":[55],"identify":[57,76,138],"application":[58],"characteristics":[59,234],"more":[60],"important":[61,141,251],"performance,":[64,86],"we":[65,87],"applied":[66],"several":[67],"machine":[68],"learning":[69],"techniques":[70],"characterize":[72],"these":[73],"To":[75],"features":[78],"that":[79,185,236],"most":[81,140],"relevant":[82],"evaluate":[88],"a":[89,105,124,145,172,244],"number":[90,146,246],"different":[92,148],"feature":[93,107,116],"selection":[94,108,117],"methods,":[95],"e.g.,":[96],"Mutual":[97],"information":[98],"regression":[99],"F":[101],"regression,":[102],"develop":[104],"novel":[106],"method":[109],"based":[110],"on":[111,205],"Min-max":[112],"mutual":[113],"information.":[114],"These":[115],"methods":[118],"allow":[119],"us":[120],"sift":[122],"through":[123],"large":[125,225,245],"real-world":[129],"collected":[131],"from":[132],"NERSC's":[133],"Cori":[134],"supercomputer":[135],"system,":[136],"features.":[142],"We":[143],"employ":[144],"clustering":[149],"algorithms,":[150],"including":[151],"KMeans,":[152],"Gaussian":[153],"Mixture":[154],"Model":[155],"(GMM)":[156],"Ward":[158],"linkage,":[159],"measure":[161],"cluster":[163,181,197,209,222,233],"quality":[164],"with":[165,203,228],"Davies":[166],"Boulder":[167],"Index":[168],"(DBI),":[169],"Silhouette":[170],"new":[173],"Combined":[174],"Score":[175],"developed":[176],"this":[178],"work.":[179],"The":[180,232],"evaluation":[182],"result":[183],"shows":[184],"test":[187],"dataset":[188],"could":[189],"be":[190],"divided":[192],"into":[193],"three":[194],"clusters,":[195],"where":[196],"1":[198],"contains":[199],"mostly":[200],"small":[201],"jobs":[202,216,227],"operations":[204],"standard":[206],"units,":[208],"2":[210],"consists":[211],"middle":[213],"size":[214],"parallel":[215,226,238,248],"dominated":[217],"read":[219],"operations,":[220],"3":[223],"include":[224],"heavy":[229],"write":[230],"operations.":[231],"suggest":[235],"using":[237],"library":[240],"MPI":[241],"IO":[242],"cores":[249],"achieve":[253],"high":[254],"throughput.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
