{"id":"https://openalex.org/W4402335642","doi":"https://doi.org/10.1177/10943420241278981","title":"Non-smooth Bayesian optimization in tuning scientific applications","display_name":"Non-smooth Bayesian optimization in tuning scientific applications","publication_year":2024,"publication_date":"2024-09-06","ids":{"openalex":"https://openalex.org/W4402335642","doi":"https://doi.org/10.1177/10943420241278981"},"language":"en","primary_location":{"id":"doi:10.1177/10943420241278981","is_oa":false,"landing_page_url":"https://doi.org/10.1177/10943420241278981","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"1094-3420","issn":["1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/content/qt3m46j6zn/qt3m46j6zn.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046399287","display_name":"Hengrui Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]},{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hengrui Luo","raw_affiliation_strings":["Department of Statistics, Rice University, Houston, TX, USA","Lawrence Berkeley National Laboratory, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Lawrence Berkeley National Laboratory, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087239991","display_name":"Younghyun Cho","orcid":"https://orcid.org/0000-0001-6774-7668"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Younghyun Cho","raw_affiliation_strings":["Department of EECS, University of California, Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of EECS, University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076825233","display_name":"James Demmel","orcid":"https://orcid.org/0000-0003-1145-3745"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James W Demmel","raw_affiliation_strings":["Department of EECS, University of California, Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of EECS, University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107059283","display_name":"Igor Kozachenko","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Igor Kozachenko","raw_affiliation_strings":["Department of EECS, University of California, Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of EECS, University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006873445","display_name":"Xiaoye Sherry Li","orcid":"https://orcid.org/0000-0002-0747-698X"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoye S Li","raw_affiliation_strings":["Lawrence Berkeley National Laboratory, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038051093","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0003-3750-1178"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Lawrence Berkeley National Laboratory, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046399287"],"corresponding_institution_ids":["https://openalex.org/I148283060","https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":1.7901,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86575888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"38","issue":"6","first_page":"633","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9947999715805054,"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/smoothness","display_name":"Smoothness","score":0.734516978263855},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.7240497469902039},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6800304651260376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6633126735687256},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5958083868026733},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5394488573074341},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5023260116577148},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4965713620185852},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49442195892333984},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4859706163406372},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.47802743315696716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.273521363735199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21986082196235657}],"concepts":[{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.734516978263855},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7240497469902039},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6800304651260376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6633126735687256},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5958083868026733},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5394488573074341},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5023260116577148},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4965713620185852},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49442195892333984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4859706163406372},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.47802743315696716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.273521363735199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21986082196235657},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1177/10943420241278981","is_oa":false,"landing_page_url":"https://doi.org/10.1177/10943420241278981","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"1094-3420","issn":["1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-article"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt3m46j6zn","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/3m46j6zn","pdf_url":"https://escholarship.org/content/qt3m46j6zn/qt3m46j6zn.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The International Journal of High Performance Computing Applications, vol 38, iss 6","raw_type":"article"},{"id":"pmh:oai:osti.gov:2498347","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2498347","pdf_url":"https://www.osti.gov/servlets/purl/2498347","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},{"id":"pmh:ark:/13030/qt3m46j6zn","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:escholarship.org:ark:/13030/qt3m46j6zn","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/3m46j6zn","pdf_url":"https://escholarship.org/content/qt3m46j6zn/qt3m46j6zn.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The International Journal of High Performance Computing Applications, vol 38, iss 6","raw_type":"article"},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402335642.pdf","grobid_xml":"https://content.openalex.org/works/W4402335642.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W142834628","https://openalex.org/W381925641","https://openalex.org/W1564947197","https://openalex.org/W1818322095","https://openalex.org/W1964031104","https://openalex.org/W1966042408","https://openalex.org/W1968522704","https://openalex.org/W1985412770","https://openalex.org/W2007864935","https://openalex.org/W2021774297","https://openalex.org/W2056132907","https://openalex.org/W2077007994","https://openalex.org/W2091442045","https://openalex.org/W2092271904","https://openalex.org/W2108177987","https://openalex.org/W2125275885","https://openalex.org/W2126292488","https://openalex.org/W2139431773","https://openalex.org/W2149104446","https://openalex.org/W2149381887","https://openalex.org/W2151832869","https://openalex.org/W2160088187","https://openalex.org/W2160960847","https://openalex.org/W2192203593","https://openalex.org/W2198195940","https://openalex.org/W2412152731","https://openalex.org/W2555272810","https://openalex.org/W2559655401","https://openalex.org/W2569521070","https://openalex.org/W2604272474","https://openalex.org/W2612690371","https://openalex.org/W2612972698","https://openalex.org/W2801651025","https://openalex.org/W2808758704","https://openalex.org/W2966736135","https://openalex.org/W2974781122","https://openalex.org/W2990138404","https://openalex.org/W2999905431","https://openalex.org/W3022760636","https://openalex.org/W3089419733","https://openalex.org/W3099636734","https://openalex.org/W3131110481","https://openalex.org/W3175956409","https://openalex.org/W4211049957","https://openalex.org/W4226003010","https://openalex.org/W4231545661","https://openalex.org/W4235606958","https://openalex.org/W4251668937","https://openalex.org/W4313408245","https://openalex.org/W4384705431","https://openalex.org/W4387057140","https://openalex.org/W4391145642","https://openalex.org/W4392240911","https://openalex.org/W6600803065","https://openalex.org/W6806443638"],"related_works":["https://openalex.org/W3104422856","https://openalex.org/W4206864338","https://openalex.org/W4287867179","https://openalex.org/W4210726438","https://openalex.org/W3134690064","https://openalex.org/W4401858220","https://openalex.org/W4287752080","https://openalex.org/W3118984993","https://openalex.org/W3037706579","https://openalex.org/W4401389295"],"abstract_inverted_index":{"Tuning":[0],"algorithmic":[1],"parameters":[2],"to":[3,164],"optimize":[4],"the":[5,18,31,35,47,57,67,91,101,115,126,166],"performance":[6,102],"of":[7,103,114,125,168],"large,":[8],"complicated":[9],"computational":[10,132],"codes":[11],"is":[12,54],"an":[13],"important":[14],"problem":[15,49],"involving":[16],"finding":[17],"optima":[19],"and":[20,117,148,160],"identifying":[21],"regimes":[22],"defined":[23],"by":[24,56,71,96],"non-smooth":[25],"boundaries":[26],"in":[27,46,75,111,122],"black-box":[28,68],"functions.":[29],"Within":[30],"Bayesian":[32],"optimization":[33],"framework,":[34],"Gaussian":[36,81,87],"process":[37,82,88],"surrogate":[38],"model":[39,83],"produces":[40],"smooth":[41],"mean":[42],"functions,":[43],"but":[44],"functions":[45,163],"tuning":[48],"are":[50,93],"often":[51],"non-smooth,":[52],"which":[53],"exacerbated":[55],"fact":[58],"that":[59],"we":[60,77],"usually":[61],"have":[62],"limited":[63],"sequential":[64],"samples":[65],"from":[66],"function.":[69],"Motivated":[70],"these":[72],"issues":[73],"encountered":[74],"tuning,":[76],"propose":[78],"a":[79,85,136],"novel":[80,137],"called":[84],"clustered":[86],"(cGP),":[89],"where":[90],"components":[92],"dynamically":[94],"updated":[95],"clustering.":[97],"In":[98],"our":[99,169],"studies,":[100],"cGP":[104,134],"can":[105],"be":[106],"better":[107,118],"than":[108,119,145],"stationary":[109],"GPs":[110,121],"nearly":[112,123],"90%":[113],"experiments":[116,128,155],"non-stationary":[120],"70%":[124],"repeated":[127],"while":[129],"requiring":[130],"less":[131],"cost.":[133],"provides":[135],"approach":[138],"for":[139],"dynamic":[140],"GP,":[141],"computes":[142],"more":[143],"efficiently":[144],"recursive":[146],"partitioning,":[147],"discovers":[149],"non-smoothness":[150],"regimes.":[151],"We":[152],"provide":[153],"extensive":[154],"including":[156],"high-performance":[157],"computing":[158],"(HPC)":[159],"industrial":[161],"simulation":[162],"show":[165],"effectiveness":[167],"methods.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
