{"id":"https://openalex.org/W4406298628","doi":"https://doi.org/10.1007/s10619-024-07451-7","title":"Accelerating machine learning queries with linear algebra query processing","display_name":"Accelerating machine learning queries with linear algebra query processing","publication_year":2025,"publication_date":"2025-01-12","ids":{"openalex":"https://openalex.org/W4406298628","doi":"https://doi.org/10.1007/s10619-024-07451-7"},"language":"en","primary_location":{"id":"doi:10.1007/s10619-024-07451-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10619-024-07451-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10619-024-07451-7.pdf","source":{"id":"https://openalex.org/S35927321","display_name":"Distributed and Parallel Databases","issn_l":"0926-8782","issn":["0926-8782","1573-7578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Distributed and Parallel Databases","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10619-024-07451-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100560630","display_name":"Wenbo Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Wenbo Sun","raw_affiliation_strings":["Faculty of EEMCS, TU Delft, 2628ZE, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of EEMCS, TU Delft, 2628ZE, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002932353","display_name":"Asterios Katsifodimos","orcid":"https://orcid.org/0000-0002-6717-2945"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Asterios Katsifodimos","raw_affiliation_strings":["Faculty of EEMCS, TU Delft, 2628ZE, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of EEMCS, TU Delft, 2628ZE, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046074866","display_name":"Rihan Hai","orcid":"https://orcid.org/0000-0002-3720-6585"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Rihan Hai","raw_affiliation_strings":["Faculty of EEMCS, TU Delft, 2628ZE, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of EEMCS, TU Delft, 2628ZE, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100560630"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.6849,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66581929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"43","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9977999925613403,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9907000064849854,"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":0.79875648021698},{"id":"https://openalex.org/keywords/linear-algebra","display_name":"Linear algebra","score":0.5770599246025085},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5159600377082825},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4771675169467926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4747617244720459},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.4285295009613037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41710546612739563},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3392219841480255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25035664439201355},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17689105868339539}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79875648021698},{"id":"https://openalex.org/C139352143","wikidata":"https://www.wikidata.org/wiki/Q82571","display_name":"Linear algebra","level":2,"score":0.5770599246025085},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5159600377082825},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4771675169467926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4747617244720459},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.4285295009613037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41710546612739563},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3392219841480255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25035664439201355},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17689105868339539},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10619-024-07451-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10619-024-07451-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10619-024-07451-7.pdf","source":{"id":"https://openalex.org/S35927321","display_name":"Distributed and Parallel Databases","issn_l":"0926-8782","issn":["0926-8782","1573-7578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Distributed and Parallel Databases","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10619-024-07451-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10619-024-07451-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10619-024-07451-7.pdf","source":{"id":"https://openalex.org/S35927321","display_name":"Distributed and Parallel Databases","issn_l":"0926-8782","issn":["0926-8782","1573-7578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Distributed and Parallel Databases","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406298628.pdf","grobid_xml":"https://content.openalex.org/works/W4406298628.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1578512165","https://openalex.org/W1678356000","https://openalex.org/W2043670592","https://openalex.org/W2072541977","https://openalex.org/W2160011226","https://openalex.org/W2296703446","https://openalex.org/W2604255113","https://openalex.org/W2804032941","https://openalex.org/W2969345671","https://openalex.org/W2970971581","https://openalex.org/W3092207469","https://openalex.org/W3176459841","https://openalex.org/W3177418610","https://openalex.org/W4206536784","https://openalex.org/W4226337305","https://openalex.org/W4281626245","https://openalex.org/W4288700207","https://openalex.org/W4294904012","https://openalex.org/W4308610625","https://openalex.org/W4380591969","https://openalex.org/W4385270278"],"related_works":["https://openalex.org/W1995889332","https://openalex.org/W3104163240","https://openalex.org/W3008693296","https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W4405313599","https://openalex.org/W4312283151","https://openalex.org/W2381158465","https://openalex.org/W2617721340","https://openalex.org/W2507253542"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"rapid":[2],"growth":[3],"of":[4,57,93,133,170,177],"large-scale":[5],"machine":[6,61,107,181],"learning":[7,62,108,182],"(ML)":[8],"models":[9,18],"has":[10],"led":[11],"numerous":[12],"commercial":[13],"companies":[14],"to":[15,23,47,74,103,119,126],"utilize":[16],"ML":[17],"for":[19],"generating":[20],"predictive":[21,33,76,115],"results":[22],"help":[24],"business":[25],"decision-making.":[26],"As":[27],"two":[28,68],"primary":[29],"components":[30],"in":[31,42,106,173],"traditional":[32],"pipelines,":[34],"data":[35,58,111,138,178],"processing,":[36,112],"and":[37,50,60,110,139,150,158,168,180],"model":[38,140],"predictions":[39,109],"often":[40],"operate":[41],"separate":[43],"execution":[44],"environments,":[45],"leading":[46],"redundant":[48],"engineering":[49],"computations.":[51],"Additionally,":[52],"the":[53,131,154,166,175],"diverging":[54],"mathematical":[55],"foundations":[56],"processing":[59,149,179],"hinder":[63],"cross-optimizations":[64],"by":[65,117],"combining":[66],"these":[67],"components,":[69],"thereby":[70],"overlooking":[71],"potential":[72,169],"opportunities":[73],"expedite":[75],"pipelines.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81,143,164],"propose":[82],"an":[83],"operator":[84,134,151],"fusion":[85,152],"method":[86,97],"based":[87],"on":[88,184],"GPU-accelerated":[89],"linear":[90,99,146],"algebraic":[91],"evaluation":[92],"relational":[94],"queries.":[95],"Our":[96],"leverages":[98],"algebra":[100,147],"computation":[101],"properties":[102],"merge":[104],"operators":[105],"significantly":[113],"accelerating":[114],"pipelines":[116],"up":[118],"317x.":[120],"We":[121],"perform":[122],"a":[123],"complexity":[124],"analysis":[125],"deliver":[127],"quantitative":[128],"insights":[129],"into":[130],"advantages":[132],"fusion,":[135],"considering":[136],"various":[137],"dimensions.":[141],"Furthermore,":[142],"extensively":[144],"evaluate":[145],"query":[148],"utilizing":[153],"widely-used":[155],"Star":[156],"Schema":[157],"TPC-DI":[159],"benchmarks.":[160],"Through":[161],"comprehensive":[162],"evaluations,":[163],"demonstrate":[165],"effectiveness":[167],"our":[171],"approach":[172],"improving":[174],"efficiency":[176],"workloads":[183],"modern":[185],"hardware.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}