{"id":"https://openalex.org/W2893114493","doi":"https://doi.org/10.1145/3267809.3275445","title":"Scheduling CPU for GPU-based Deep Learning Jobs","display_name":"Scheduling CPU for GPU-based Deep Learning Jobs","publication_year":2018,"publication_date":"2018-09-28","ids":{"openalex":"https://openalex.org/W2893114493","doi":"https://doi.org/10.1145/3267809.3275445","mag":"2893114493"},"language":"en","primary_location":{"id":"doi:10.1145/3267809.3275445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267809.3275445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Cloud Computing","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/A5086945155","display_name":"Wencong Xiao","orcid":"https://orcid.org/0000-0002-3043-522X"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Wencong Xiao","raw_affiliation_strings":["BUAA and Microsoft Research"],"affiliations":[{"raw_affiliation_string":"BUAA and Microsoft Research","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049750274","display_name":"Zhenhua Han","orcid":"https://orcid.org/0000-0002-2880-7100"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["GB","HK"],"is_corresponding":false,"raw_author_name":"Zhenhua Han","raw_affiliation_strings":["CUHK and Microsoft Research"],"affiliations":[{"raw_affiliation_string":"CUHK and Microsoft Research","institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101987114","display_name":"Hanyu Zhao","orcid":"https://orcid.org/0000-0002-2536-0016"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hanyu Zhao","raw_affiliation_strings":["PKU and Microsoft Research"],"affiliations":[{"raw_affiliation_string":"PKU and Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793348","display_name":"Xuan Peng","orcid":"https://orcid.org/0009-0000-6885-1168"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xuan Peng","raw_affiliation_strings":["HUST and Microsoft Research"],"affiliations":[{"raw_affiliation_string":"HUST and Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085281913","display_name":"Quanlu Zhang","orcid":"https://orcid.org/0000-0003-0557-1104"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Quanlu Zhang","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101858187","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-4113-764X"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037359171","display_name":"Lidong Zhou","orcid":"https://orcid.org/0000-0002-7258-3116"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lidong Zhou","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5086945155"],"corresponding_institution_ids":["https://openalex.org/I4210124949"],"apc_list":null,"apc_paid":null,"fwci":2.4567,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.91891611,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"503","last_page":"503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9991999864578247,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9975000023841858,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8517975807189941},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.8079485893249512},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.7216752171516418},{"id":"https://openalex.org/keywords/cpu-shielding","display_name":"CPU shielding","score":0.6471930742263794},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6255104541778564},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5216242074966431},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4990720748901367},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.49729636311531067},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.4838775396347046},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.47290122509002686},{"id":"https://openalex.org/keywords/gpu-cluster","display_name":"GPU cluster","score":0.45541098713874817},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.4202268719673157},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4139837622642517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2410079538822174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8517975807189941},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.8079485893249512},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.7216752171516418},{"id":"https://openalex.org/C180613757","wikidata":"https://www.wikidata.org/wiki/Q5013757","display_name":"CPU shielding","level":3,"score":0.6471930742263794},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6255104541778564},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5216242074966431},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4990720748901367},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.49729636311531067},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.4838775396347046},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.47290122509002686},{"id":"https://openalex.org/C2781335571","wikidata":"https://www.wikidata.org/wiki/Q2633544","display_name":"GPU cluster","level":3,"score":0.45541098713874817},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.4202268719673157},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4139837622642517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2410079538822174},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3267809.3275445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267809.3275445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Symposium on Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2809420642"],"related_works":["https://openalex.org/W2387982802","https://openalex.org/W1896942098","https://openalex.org/W2473478803","https://openalex.org/W2729363167","https://openalex.org/W2073306876","https://openalex.org/W2551154568","https://openalex.org/W3209268836","https://openalex.org/W2352987118","https://openalex.org/W4385731844","https://openalex.org/W2001170981"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)":[2],"is":[3,98,110,122,135],"popular":[4],"in":[5,34,100,118,139],"data-center":[6],"as":[7,43,48],"an":[8,113],"important":[9],"workload":[10],"for":[11],"artificial":[12],"intelligence.":[13],"With":[14],"the":[15,23,93,106,140],"recent":[16],"breakthrough":[17],"of":[18,25,86,108],"using":[19],"graphics":[20],"accelerators":[21],"and":[22,45],"popularity":[24],"DL":[26,32,41,128],"framework,":[27],"GPU":[28,97],"server":[29,88],"cluster":[30,121],"dominates":[31],"training":[33],"current":[35],"practice.":[36],"Cluster":[37],"scheduler":[38],"simply":[39],"treats":[40],"jobs":[42],"black-boxes":[44],"allocates":[46],"GPUs":[47],"per":[49],"job":[50],"request":[51],"specified":[52],"by":[53],"a":[54,87,119],"user.":[55],"However,":[56],"other":[57],"resources,":[58],"e.g.":[59],"CPU,":[60],"are":[61],"often":[62],"allocated":[63],"with":[64],"workload-agnostic":[65],"approaches.":[66],"Kubeflow[1]":[67],"performs":[68],"heuristic":[69],"static":[70],"CPU":[71,109,115,132],"resource":[72],"assignment":[73],"based":[74],"on":[75],"task":[76],"types":[77],"(e.g.,":[78],"worker,":[79],"parameter-server),":[80],"while":[81],"[2]":[82],"evenly":[83],"divides":[84],"CPUs":[85],"to":[89,127],"each":[90],"GPU.":[91],"Despite":[92],"traditional":[94],"impression":[95],"that":[96,105],"critical":[99,126],"DL,":[101],"our":[102],"observation":[103],"suggests":[104],"importance":[107],"undervalued.":[111],"Identifying":[112],"appropriate":[114],"core":[116],"number":[117],"heterogeneous":[120],"challenging":[123],"yet":[124],"performance":[125],"jobs.":[129],"The":[130],"diverse":[131],"usage":[133],"characteristic":[134],"not":[136],"well":[137],"recognized":[138],"following":[141],"three":[142],"aspects.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
