{"id":"https://openalex.org/W3014008529","doi":"https://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00054","title":"Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features","display_name":"Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3014008529","doi":"https://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00054","mag":"3014008529"},"language":"en","primary_location":{"id":"doi:10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11250/2649739","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060954730","display_name":"Meng Hao","orcid":"https://orcid.org/0000-0003-0043-4370"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Hao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085221201","display_name":"Weizhe Zhang","orcid":"https://orcid.org/0000-0003-4783-876X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhe Zhang","raw_affiliation_strings":["Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377954","display_name":"Yiming Wang","orcid":"https://orcid.org/0000-0003-3298-5134"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407387","display_name":"Dong Li","orcid":"https://orcid.org/0000-0001-9336-0694"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Li","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California, Merced"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California, Merced","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050928208","display_name":"Wen Xia","orcid":"https://orcid.org/0000-0003-4093-6391"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Xia","raw_affiliation_strings":["Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446064","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9301-5989"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086333404","display_name":"Lou Chen","orcid":"https://orcid.org/0000-0002-7456-4891"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Lou","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5060954730"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22414884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"316","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9990000128746033,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9988999962806702,"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":0.8338271975517273},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.7135967016220093},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6123565435409546},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.5988703966140747},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5482726693153381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5324103832244873},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.5123175382614136},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5077682733535767},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.48252078890800476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4510303735733032},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.42535555362701416},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3756393790245056},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3413524031639099},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3198885917663574},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.13131660223007202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8338271975517273},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.7135967016220093},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6123565435409546},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.5988703966140747},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5482726693153381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5324103832244873},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.5123175382614136},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5077682733535767},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.48252078890800476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4510303735733032},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.42535555362701416},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3756393790245056},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3413524031639099},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3198885917663574},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.13131660223007202},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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:10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)","raw_type":"proceedings-article"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/2649739","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/2649739","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"316-323","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"pmh:oai:ntnuopen.ntnu.no:11250/2649739","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/2649739","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"316-323","raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.6899999976158142,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W307918303","https://openalex.org/W1977230955","https://openalex.org/W1977901491","https://openalex.org/W2016210396","https://openalex.org/W2025983224","https://openalex.org/W2030553163","https://openalex.org/W2031487553","https://openalex.org/W2053341340","https://openalex.org/W2056528600","https://openalex.org/W2077828271","https://openalex.org/W2096385147","https://openalex.org/W2107158148","https://openalex.org/W2108177987","https://openalex.org/W2153185479","https://openalex.org/W2254254903","https://openalex.org/W2410622284","https://openalex.org/W2466495821","https://openalex.org/W2756568380","https://openalex.org/W2886599235","https://openalex.org/W2896639624","https://openalex.org/W2964281761","https://openalex.org/W2964522660","https://openalex.org/W2979047330","https://openalex.org/W4246166885","https://openalex.org/W6631615826","https://openalex.org/W6691950125"],"related_works":["https://openalex.org/W4386869550","https://openalex.org/W2066992028","https://openalex.org/W2075436644","https://openalex.org/W2966986544","https://openalex.org/W2397087612","https://openalex.org/W2110529327","https://openalex.org/W2803417426","https://openalex.org/W2371116970","https://openalex.org/W2802138742","https://openalex.org/W4214893240"],"abstract_inverted_index":{"Considering":[0],"the":[1,11,80,90,95,116,121,126,167,170,181],"increasing":[2],"complexity":[3],"and":[4,9,39,51,63,98,152,163],"scale":[5],"of":[6,14,92,123,156,159,174,180],"HPC":[7,19],"architecture":[8],"software,":[10],"performance":[12,35,49,72],"modeling":[13,50,146],"parallel":[15,131],"applications":[16],"on":[17,125],"large-scale":[18],"platforms":[20],"has":[21],"become":[22],"increasingly":[23],"important.":[24],"It":[25],"plays":[26],"an":[27],"important":[28],"role":[29],"in":[30,94,115],"many":[31],"areas,":[32],"such":[33],"as":[34,61],"analysis,":[36],"job":[37],"management,":[38],"resource":[40],"estimation.":[41],"In":[42,166],"this":[43],"work,":[44],"we":[45,83],"propose":[46,84],"a":[47,100],"multi-parameter":[48,71],"prediction":[52,81,117,141,150,157,168,172],"framework":[53],"called":[54,103],"MPerfPred,":[55],"which":[56],"utilizes":[57],"basic":[58],"block":[59],"frequencies":[60],"features":[62,93],"uses":[64],"machine":[65],"learning":[66],"algorithms":[67],"to":[68,88,110],"automatically":[69],"construct":[70],"models":[73],"with":[74,129,137],"high":[75],"generalization":[76],"ability.":[77],"To":[78],"reduce":[79,89],"overhead,":[82],"some":[85],"feature-filtering":[86],"strategies":[87],"number":[91],"training":[96],"stage":[97],"build":[99],"serial":[101],"program":[102],"BBF":[104],"collector":[105],"for":[106],"each":[107],"target":[108],"application":[109],"quickly":[111],"collect":[112],"feature":[113],"values":[114],"stage.":[118],"We":[119],"demonstrate":[120],"use":[122],"MPerfPred":[124,136,160,175],"TianHe-2":[127],"supercomputer":[128],"six":[130],"applications.":[132],"Results":[133],"show":[134],"that":[135],"SVR":[138],"achieves":[139],"better":[140],"than":[142,178],"other":[143],"input":[144],"parameter-based":[145],"methods.":[147],"The":[148],"average":[149,153,171],"error":[151],"standard":[154],"deviation":[155],"errors":[158],"are":[161],"8.42%":[162],"6.09%,":[164],"respectively.":[165],"stage,":[169],"overhead":[173],"is":[176],"less":[177],"0.13%":[179],"total":[182],"execution":[183],"time.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}