{"id":"https://openalex.org/W6893072062","doi":"https://doi.org/10.5281/zenodo.13625495","title":"Generic and ML Workloads in an HPC Datacenter","display_name":"Generic and ML Workloads in an HPC Datacenter","publication_year":2024,"publication_date":"2024-09-01","ids":{"openalex":"https://openalex.org/W6893072062","doi":"https://doi.org/10.5281/zenodo.13625495"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.13625495","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13625495","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.13625495","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Chu, Xiaoyu","orcid":"https://orcid.org/0000-0002-0353-7968"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Chu, Xiaoyu","raw_affiliation_strings":["Vrije Universiteit Amsterdam"],"raw_orcid":"https://orcid.org/0000-0002-0353-7968","affiliations":[{"raw_affiliation_string":"Vrije Universiteit Amsterdam","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hofst\u00e4tter, Daniel","orcid":"https://orcid.org/0009-0006-0204-2361"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Hofst\u00e4tter, Daniel","raw_affiliation_strings":["TU Wien"],"raw_orcid":"https://orcid.org/0009-0006-0204-2361","affiliations":[{"raw_affiliation_string":"TU Wien","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ilager, Shashikant","orcid":"https://orcid.org/0000-0003-1178-6582"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Ilager, Shashikant","raw_affiliation_strings":["TU Wien"],"raw_orcid":"https://orcid.org/0000-0003-1178-6582","affiliations":[{"raw_affiliation_string":"TU Wien","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Talluri, Sacheendra","orcid":"https://orcid.org/0000-0003-3461-4919"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Talluri, Sacheendra","raw_affiliation_strings":["Vrije Universiteit Amsterdam"],"raw_orcid":"https://orcid.org/0000-0003-3461-4919","affiliations":[{"raw_affiliation_string":"Vrije Universiteit Amsterdam","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kampert, Duncan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kampert, Duncan","raw_affiliation_strings":["SURF"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SURF","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Podareanu, Damian","orcid":"https://orcid.org/0000-0002-4207-8725"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Podareanu, Damian","raw_affiliation_strings":["SURF"],"raw_orcid":"https://orcid.org/0000-0002-4207-8725","affiliations":[{"raw_affiliation_string":"SURF","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Duplyakin, Dmitry","orcid":"https://orcid.org/0000-0001-5132-0168"},"institutions":[{"id":"https://openalex.org/I1297288678","display_name":"National Laboratory of the Rockies","ror":"https://ror.org/036266993","country_code":"US","type":"facility","lineage":["https://openalex.org/I1297288678","https://openalex.org/I1330989302","https://openalex.org/I2800842121"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duplyakin, Dmitry","raw_affiliation_strings":["National Renewable Energy Laboratory"],"raw_orcid":"https://orcid.org/0000-0001-5132-0168","affiliations":[{"raw_affiliation_string":"National Renewable Energy Laboratory","institution_ids":["https://openalex.org/I1297288678"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Brandic, Ivona","orcid":"https://orcid.org/0009-0007-0661-5937"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Brandic, Ivona","raw_affiliation_strings":["TU Wien"],"raw_orcid":"https://orcid.org/0009-0007-0661-5937","affiliations":[{"raw_affiliation_string":"TU Wien","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":null,"display_name":"Iosup, Alexandru","orcid":"https://orcid.org/0000-0001-8030-9398"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Iosup, Alexandru","raw_affiliation_strings":["Vrije Universiteit Amsterdam"],"raw_orcid":"https://orcid.org/0000-0001-8030-9398","affiliations":[{"raw_affiliation_string":"Vrije Universiteit Amsterdam","institution_ids":["https://openalex.org/I865915315"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.7087000012397766},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.6175000071525574},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5580000281333923},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.43290001153945923},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.42579999566078186},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4117000102996826},{"id":"https://openalex.org/keywords/resource-consumption","display_name":"Resource consumption","score":0.40560001134872437},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.3993000090122223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858999967575073},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.7087000012397766},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.6175000071525574},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5580000281333923},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.42579999566078186},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.41269999742507935},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4117000102996826},{"id":"https://openalex.org/C2777480716","wikidata":"https://www.wikidata.org/wiki/Q23582796","display_name":"Resource consumption","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.38659998774528503},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3856000006198883},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32580000162124634},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C111873713","wikidata":"https://www.wikidata.org/wiki/Q1641413","display_name":"Job scheduler","level":3,"score":0.2800999879837036},{"id":"https://openalex.org/C199683683","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Terabyte","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C2780940931","wikidata":"https://www.wikidata.org/wiki/Q174989","display_name":"File system","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.13625495","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13625495","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.13625495","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13625495","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5282303690910339}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Updated":[0],"Version":[1],"of":[2,9,40,53,137,178,203,220,226,237,281],"the":[3,7,10,54,65,94,214,234],"previous":[4],"upload,":[5],"fixes":[6],"timestamps":[8],"records":[11,182],"being":[12],"in":[13,23,86,122,145,175,197,242],"inconsistent":[14],"format,":[15],"now":[16],"they":[17],"are":[18,56,84,91,169,191],"all":[19,132,184],"\"yyyy-MM-dd":[20],"HH:mm:ss\"":[21],"format":[22],"CEST":[24],"time.":[25],"This":[26,119,206],"archive":[27],"contains":[28],"hardware":[29,82],"and":[30,46,102,107,156,161,164,188,217,275],"workload":[31],"traces":[32],"from":[33,131],"SURF":[34],"Lisa,":[35],"a":[36,135,176,194,243],"Dutch":[37],"datacenter":[38],"consisting":[39],"338":[41],"nodes,":[42],"used":[43,249],"by":[44,264,270],"universities":[45],"researchers":[47],"for":[48,75,110,199,250],"various":[49],"jobs.":[50,79,221],"Around":[51],"85%":[52],"nodes":[55,133],"equipped":[57],"only":[58],"with":[59,69],"CPUs,":[60],"handling":[61],"generic":[62,238],"compute-heavy":[63],"workloads,":[64],"other":[66],"15%":[67],"come":[68],"additional":[70],"GPUs,":[71],"serving":[72],"as":[73,193],"accelerators":[74],"Machine":[76],"Learning":[77],"(ML)":[78],"Individual":[80],"node":[81,189,283],"configurations":[83,280],"listed":[85],"`node_hardware_info.parquet`.":[87],"Jobs":[88],"within":[89],"Lisa":[90],"submitted":[92],"over":[93,134,150],"SLURM":[95,265],"scheduler,":[96],"where":[97,229],"we":[98,125,230],"logged":[99],"job":[100,187],"start":[101],"end":[103],"time,":[104],"resource":[105,215],"allocation,":[106],"exit":[108],"state":[109],"roughly":[111],"10":[112],"months":[113,139,202],"(December":[114],"2021":[115],"to":[116,142],"November":[117,143],"2022).":[118],"data":[120,190,208,228,262,268],"saved":[121],"`slurm_table_cleaned.parquet`.":[123],"Addidionally,":[124],"provide":[126,210],"detailed":[127,224],"Prometheus":[128,271],"monitoring":[129],"logs":[130,148],"timespan":[136],"5":[138],"(June":[140],"2022":[141],"2022)":[144],"`prom_table_cleaned.parquet`.":[146],"These":[147,167],"contain":[149],"90":[151],"attributes,":[152],"including":[153],"CPU/GPU":[154],"power":[155],"temperatures,":[157],"network":[158],"I/O,":[159],"memory":[160],"storage":[162],"usage,":[163],"many":[165],"more.":[166],"metrics":[168],"sampled":[170],"at":[171,233],"30s":[172],"intervals,":[173],"resulting":[174],"total":[177],"almost":[179],"130":[180],"million":[181],"across":[183],"nodes.":[185],"Finally,":[186],"provided":[192],"joined":[195],"dataset":[196,277],"`prom_slurm_joined.parquet`":[198],"their":[200],"4":[201],"overlapping":[204],"timespan.":[205],"combined":[207],"can":[209,252],"more":[211],"insights":[212],"into":[213],"consumption":[216],"performance":[218],"patterns":[219],"We":[222],"conducted":[223],"analysis":[225],"this":[227],"specifically":[231],"looked":[232],"different":[235],"characteristics":[236],"vs.":[239],"ML":[240],"workloads":[241],"heterogeneous":[244],"HPC":[245],"environment.":[246],"Our":[247],"code":[248],"evaluation":[251],"be":[253],"found":[254],"on":[255],"GitHub.":[256],"Dataset":[257],"Name":[258],"Explanation":[259],"slurm_table_cleaned.parquet":[260],"Job":[261,274],"collected":[263,269],"prom_table_cleaned.parquet":[266],"Node":[267,276],"prom_slurm_joined.parquet":[272],"Joined":[273],"node_hardware_info.parquet":[278],"Hardware":[279],"each":[282]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}