{"id":"https://openalex.org/W2966274836","doi":"https://doi.org/10.1145/3332186.3333041","title":"Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning","display_name":"Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2966274836","doi":"https://doi.org/10.1145/3332186.3333041","mag":"2966274836","pmid":"https://pubmed.ncbi.nlm.nih.gov/35308798"},"language":"en","primary_location":{"id":"doi:10.1145/3332186.3333041","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3332186.3333041","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3332186.3333041","source":{"id":"https://openalex.org/S4306524297","display_name":"Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3332186.3333041","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063403585","display_name":"Mohammed Tanash","orcid":"https://orcid.org/0000-0002-2877-5735"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammed Tanash","raw_affiliation_strings":["Kansas State University, Manhattan, Kansas"],"affiliations":[{"raw_affiliation_string":"Kansas State University, Manhattan, Kansas","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051620793","display_name":"B L Dunn","orcid":null},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon Dunn","raw_affiliation_strings":["Kansas State University, Manhattan, Kansas"],"affiliations":[{"raw_affiliation_string":"Kansas State University, Manhattan, Kansas","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061622185","display_name":"Daniel Andresen","orcid":"https://orcid.org/0000-0003-2345-6695"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Andresen","raw_affiliation_strings":["Kansas State University, Manhattan, Kansas"],"affiliations":[{"raw_affiliation_string":"Kansas State University, Manhattan, Kansas","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016291944","display_name":"William Hsu","orcid":"https://orcid.org/0000-0002-5168-070X"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Hsu","raw_affiliation_strings":["Kansas State University, Manhattan, Kansas"],"affiliations":[{"raw_affiliation_string":"Kansas State University, Manhattan, Kansas","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101230911","display_name":"Huichen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huichen Yang","raw_affiliation_strings":["Kansas State University, Manhattan, Kansas"],"affiliations":[{"raw_affiliation_string":"Kansas State University, Manhattan, Kansas","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044639408","display_name":"Adedolapo Okanlawon","orcid":null},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adedolapo Okanlawon","raw_affiliation_strings":["Kansas State University, Manhattan, Kansas"],"affiliations":[{"raw_affiliation_string":"Kansas State University, Manhattan, Kansas","institution_ids":["https://openalex.org/I189590672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063403585"],"corresponding_institution_ids":["https://openalex.org/I189590672"],"apc_list":null,"apc_paid":null,"fwci":5.6421,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.96159778,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.996999979019165,"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":0.996999979019165,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9923999905586243,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9872000217437744,"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":0.7797926664352417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5806878805160522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4863227307796478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7797926664352417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5806878805160522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4863227307796478}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3332186.3333041","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3332186.3333041","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3332186.3333041","source":{"id":"https://openalex.org/S4306524297","display_name":"Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)","raw_type":"proceedings-article"},{"id":"pmid:35308798","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35308798","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PEARC19 : Practice and Experience in Advanced Research Computing 2019 : Rise of the Machines (learning) : July 28-August 1, 2019, Chicago, Illinois. Practice and Experience in Advanced Research Computing (Conference) (2019 : Chicago, Il...","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8932944","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8932944","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PEARC19 (2019)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3332186.3333041","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3332186.3333041","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3332186.3333041","source":{"id":"https://openalex.org/S4306524297","display_name":"Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1286084598","display_name":null,"funder_award_id":"NIH P20GM113109","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G1322170662","display_name":null,"funder_award_id":"CHE-1726332","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1723283315","display_name":null,"funder_award_id":"ACI-1440548","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3204117301","display_name":"CC-IIE Networking Infrastructure: KGEN: Next-generation networking environments for biological and agricultural data-driven research at Kansas State University","funder_award_id":"1440548","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3410593927","display_name":null,"funder_award_id":"GM113109","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3914563166","display_name":"MRI: Acquisition of an Adaptive Data Cluster for Data-intensive Applications in Science and Engineering","funder_award_id":"1429316","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4088637217","display_name":null,"funder_award_id":"P20GM113109","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5305121369","display_name":null,"funder_award_id":"P20GM113109","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7098537712","display_name":null,"funder_award_id":"CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7915266651","display_name":null,"funder_award_id":"CHE-1726332","funder_id":"https://openalex.org/F4320337393","funder_display_name":"Division of Chemistry"},{"id":"https://openalex.org/G914694619","display_name":"MRI: Acquisition of a GPU-Enabled Computer Cluster for Molecular Modeling Applications","funder_award_id":"1726332","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309644","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337393","display_name":"Division of Chemistry","ror":"https://ror.org/01ar8dr59"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966274836.pdf","grobid_xml":"https://content.openalex.org/works/W2966274836.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W75345567","https://openalex.org/W1570116249","https://openalex.org/W2053341340","https://openalex.org/W2096352448","https://openalex.org/W2115374750","https://openalex.org/W2123134606","https://openalex.org/W2149472591","https://openalex.org/W2157777898","https://openalex.org/W2336047311","https://openalex.org/W2593921319","https://openalex.org/W2777672226","https://openalex.org/W2806434281","https://openalex.org/W4386749951"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"High-Performance":[0],"Computing":[1],"(HPC)":[2],"systems":[3],"are":[4,55],"resources":[5,45,59,113,191],"utilized":[6],"for":[7,46,60,196,221,238,254],"data":[8],"capture,":[9],"sharing,":[10],"and":[11,33,78,97,115,138,163,192,248],"analysis.":[12],"The":[13,170],"majority":[14],"of":[15,44,110,119,166,172,180,187,206,244],"our":[16,155,167,173,211,224],"HPC":[17,26,80,156,208,246],"users":[18,27,54],"come":[19],"from":[20,154],"other":[21],"disciplines":[22],"than":[23],"Computer":[24],"Science.":[25],"including":[28],"computer":[29],"scientists":[30],"have":[31],"difficulties":[32],"do":[34],"not":[35,68],"feel":[36],"proficient":[37],"enough":[38],"to":[39,57,86,106,121,136,159,176,202,235],"decide":[40],"the":[41,51,101,108,116,123,140,161,164,178,181,185,193,204,207,245,250,255],"required":[42,111,117,195],"amount":[43,109,118,186],"their":[47,61,65],"submitted":[48,62,256],"jobs":[49,66,189,223],"on":[50,146],"cluster.":[52],"Consequently,":[53],"encouraged":[56],"over-estimate":[58],"jobs,":[63],"so":[64],"will":[67,76,84],"be":[69],"killing":[70],"due":[71],"insufficient":[72],"resources.":[73],"This":[74],"process":[75],"waste":[77],"devour":[79],"resources;":[81],"hence,":[82],"this":[83],"lead":[85],"inefficient":[87],"cluster":[88],"utilization.":[89],"We":[90,148],"created":[91],"a":[92],"supervised":[93,142,213],"machine":[94,130,143,214],"learning":[95,131,144,215],"model":[96,126,145,225],"integrated":[98,168,212],"it":[99],"into":[100],"Slurm":[102,182],"resource":[103],"manager":[104],"simulator":[105],"predict":[107],"memory":[112,190],"(Memory)":[114],"time":[120,194,231,253],"run":[122],"computation.":[124],"Our":[125,133,217],"involves":[127],"using":[128,210],"different":[129],"algorithms.":[132],"goal":[134],"is":[135,175],"integrate":[137],"test":[139],"proposed":[141],"Slurm.":[147],"used":[149],"over":[150],"10000":[151],"tasks":[152],"selected":[153],"log":[157],"files":[158],"evaluate":[160],"performance":[162,179],"accuracy":[165],"model.":[169,216],"purpose":[171],"work":[174],"increase":[177],"by":[183],"predicting":[184],"require":[188],"each":[197],"particular":[198],"job":[199],"in":[200],"order":[201],"improve":[203],"utilization":[205,243],"system":[209],"results":[218],"indicate":[219],"that":[220],"larger":[222],"helps":[226],"dramatically":[227],"reduce":[228],"computational":[229],"turnaround":[230],"(from":[232],"five":[233],"days":[234],"ten":[236],"hours":[237],"large":[239],"jobs),":[240],"substantially":[241],"increased":[242],"system,":[247],"decreased":[249],"average":[251],"waiting":[252],"jobs.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}