{"id":"https://openalex.org/W2971370092","doi":"https://doi.org/10.1109/mlhpc49564.2019.00009","title":"Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning","display_name":"Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2971370092","doi":"https://doi.org/10.1109/mlhpc49564.2019.00009","mag":"2971370092"},"language":"en","primary_location":{"id":"doi:10.1109/mlhpc49564.2019.00009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlhpc49564.2019.00009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1909.03947","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"gabriel laberge","orcid":null},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"gabriel laberge","raw_affiliation_strings":["Polytechnique Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montreal, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shahrzad Shirzad","orcid":null},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahrzad Shirzad","raw_affiliation_strings":["Louisiana State University, USA"],"affiliations":[{"raw_affiliation_string":"Louisiana State University, USA","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Patrick Diehl","orcid":null},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Diehl","raw_affiliation_strings":["Louisiana State University, USA"],"affiliations":[{"raw_affiliation_string":"Louisiana State University, USA","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hartmut Kaiser","orcid":null},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hartmut Kaiser","raw_affiliation_strings":["Louisiana State University"],"affiliations":[{"raw_affiliation_string":"Louisiana State University","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Serge Prudhomme","orcid":null},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Serge Prudhomme","raw_affiliation_strings":["Polytechnique Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montreal, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":null,"display_name":"Adrian S. Lemoine","orcid":null},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adrian S. Lemoine","raw_affiliation_strings":["Louisiana State University, USA"],"affiliations":[{"raw_affiliation_string":"Louisiana State University, USA","institution_ids":["https://openalex.org/I121820613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45683168"],"apc_list":null,"apc_paid":null,"fwci":0.6619,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76680344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9919999837875366,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9916999936103821,"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/linear-algebra","display_name":"Linear algebra","score":0.6699000000953674},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5091000199317932},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.439300000667572},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.4171000123023987},{"id":"https://openalex.org/keywords/numerical-linear-algebra","display_name":"Numerical linear algebra","score":0.3937999904155731},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.3790999948978424},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.3619999885559082},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.3522000014781952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744999885559082},{"id":"https://openalex.org/C139352143","wikidata":"https://www.wikidata.org/wiki/Q82571","display_name":"Linear algebra","level":2,"score":0.6699000000953674},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5091000199317932},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.439300000667572},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.4171000123023987},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4117000102996826},{"id":"https://openalex.org/C163834973","wikidata":"https://www.wikidata.org/wiki/Q2004891","display_name":"Numerical linear algebra","level":3,"score":0.3937999904155731},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3522000014781952},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.3294000029563904},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.32820001244544983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31290000677108765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30790001153945923},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29420000314712524},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.29339998960494995},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.28630000352859497},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.28619998693466187},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.2635999917984009}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/mlhpc49564.2019.00009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlhpc49564.2019.00009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.03947","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.03947","pdf_url":"https://arxiv.org/pdf/1909.03947","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:publications.polymtl.ca:44543","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/44543/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication de conf\u00e9rence"},{"id":"pmh:oai:repository.lsu.edu:eecs_pubs-3488","is_oa":true,"landing_page_url":"https://repository.lsu.edu/eecs_pubs/2486","pdf_url":null,"source":{"id":"https://openalex.org/S4210169993","display_name":"Civil War Book Review","issn_l":"1528-6592","issn":["1528-6592"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310315936","host_organization_name":"Louisiana State University","host_organization_lineage":["https://openalex.org/P4310315936"],"host_organization_lineage_names":["Louisiana State University"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1909.03947","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.03947","pdf_url":"https://arxiv.org/pdf/1909.03947","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1525132831","https://openalex.org/W1665019326","https://openalex.org/W1749508623","https://openalex.org/W1984848758","https://openalex.org/W2044698709","https://openalex.org/W2045271686","https://openalex.org/W2083734282","https://openalex.org/W2083928586","https://openalex.org/W2088090735","https://openalex.org/W2107158148","https://openalex.org/W2109392506","https://openalex.org/W2150303942","https://openalex.org/W2533204039","https://openalex.org/W2767136113","https://openalex.org/W2806122766","https://openalex.org/W2911770499","https://openalex.org/W6633435507","https://openalex.org/W6633501225","https://openalex.org/W6675354045"],"related_works":[],"abstract_inverted_index":{"Linear":[0],"algebra":[1,131,140,163,227],"algorithms":[2],"are":[3,100,213],"used":[4],"widely":[5],"in":[6,191,221],"a":[7,44,75,98,103,184,217],"variety":[8],"of":[9,53,69,78,95,97,115,137,154,175],"domains,":[10],"e.g":[11],"machine":[12],"learning,":[13],"numerical":[14],"physics":[15],"and":[16,58,148,169,180,207],"video":[17],"games":[18],"graphics.":[19],"For":[20],"all":[21],"these":[22],"applications,":[23],"loop-level":[24],"parallelism":[25],"is":[26,43,63,82,90],"required":[27],"to":[28,37,102,119,193,215],"achieve":[29],"high":[30],"performance.":[31],"However,":[32],"finding":[33],"the":[34,39,51,54,59,61,67,79,84,88,93,113,121,134,155,173,195,225],"optimal":[35,196],"way":[36],"schedule":[38],"workload":[40],"between":[41],"threads":[42],"non-trivial":[45],"problem":[46,81],"because":[47],"it":[48],"depends":[49],"on":[50,127],"structure":[52],"algorithm":[55],"being":[56],"parallelized":[57],"hardware":[60],"executable":[62],"run":[64],"on.":[65],"In":[66,108],"realm":[68],"Asynchronous":[70],"Many":[71],"Task":[72],"runtime":[73],"systems,":[74],"key":[76],"aspect":[77],"scheduling":[80],"predicting":[83],"proper":[85],"chunk-size,":[86],"where":[87],"chunk-size":[89,122,218],"defined":[91],"as":[92,105],"number":[94],"iterations":[96],"for-loop":[99],"assigned":[101],"thread":[104],"one":[106],"task.":[107],"this":[109],"paper,":[110],"we":[111,144],"study":[112],"applications":[114],"supervised":[116],"learning":[117],"models":[118],"predict":[120,194],"which":[123,219],"yields":[124],"maximum":[125],"performance":[126,153,223],"multiple":[128,161],"parallel":[129],"linear":[130,139,162,226],"operations":[132],"using":[133],"HPX":[135],"backend":[136],"Blaze's":[138],"library.":[141],"More":[142],"precisely,":[143],"generate":[145],"our":[146,208],"training":[147],"tests":[149],"sets":[150],"by":[151],"measuring":[152],"application":[156],"with":[157,183],"different":[158],"chunk-sizes":[159],"for":[160,198,224],"operations;":[164],"vector-addition,":[165],"matrix-vector-multiplication,":[166],"matrix-matrix":[167],"addition":[168],"matrix-matrix-multiplication.":[170],"We":[171],"compare":[172],"use":[174],"logistic":[176],"regression,":[177],"neural":[178],"networks":[179],"decision":[181,187,205,210],"trees":[182,206],"newly":[185],"developed":[186],"tree":[188,211],"based":[189],"model":[190,212],"order":[192],"value":[197],"chunk-size.":[199],"Our":[200],"results":[201,220],"show":[202],"that":[203],"classical":[204],"custom":[209],"able":[214],"forecast":[216],"good":[222],"operations.":[228]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-09-12T00:00:00"}
