{"id":"https://openalex.org/W2440046523","doi":"https://doi.org/10.1145/2882903.2903735","title":"Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units","display_name":"Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units","publication_year":2016,"publication_date":"2016-06-16","ids":{"openalex":"https://openalex.org/W2440046523","doi":"https://doi.org/10.1145/2882903.2903735","mag":"2440046523"},"language":"en","primary_location":{"id":"doi:10.1145/2882903.2903735","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2882903.2903735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038522665","display_name":"Sina Meraji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sina Meraji","raw_affiliation_strings":["IBM, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IBM, Toronto, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110113360","display_name":"Berni Schiefer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Berni Schiefer","raw_affiliation_strings":["IBM, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IBM, Toronto, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051881834","display_name":"Lan Pham","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lan Pham","raw_affiliation_strings":["IBM, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IBM, Toronto, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060453593","display_name":"Lee Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lee Chu","raw_affiliation_strings":["IBM, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IBM, Toronto, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007083724","display_name":"Peter Kokosielis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Peter Kokosielis","raw_affiliation_strings":["IBM, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IBM, Toronto, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109054273","display_name":"Adam Storm","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Adam Storm","raw_affiliation_strings":["IBM, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IBM, Toronto, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108808033","display_name":"Young Wayne","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wayne Young","raw_affiliation_strings":["IBM, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IBM, Toronto, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101522911","display_name":"Chang Ge","orcid":"https://orcid.org/0000-0002-3835-9532"},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chang Ge","raw_affiliation_strings":["IBM, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IBM, Toronto, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035270593","display_name":"Geoffrey Ng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Geoffrey Ng","raw_affiliation_strings":["IBM, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IBM, Toronto, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030588212","display_name":"Kajan Kanagaratnam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kajan Kanagaratnam","raw_affiliation_strings":["IBM, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IBM, Toronto, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5038522665"],"corresponding_institution_ids":["https://openalex.org/I4210113654"],"apc_list":null,"apc_paid":null,"fwci":1.1581,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80774457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1951","last_page":"1960"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9995999932289124,"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":0.9995999932289124,"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/T11106","display_name":"Data Management and Algorithms","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9976000189781189,"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":0.8707653284072876},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6410759687423706},{"id":"https://openalex.org/keywords/relational-database-management-system","display_name":"Relational database management system","score":0.6188798546791077},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.6136391162872314},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.570849597454071},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.5520359873771667},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.550244152545929},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.4934174120426178},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.45267510414123535},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.44434884190559387},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.42297986149787903},{"id":"https://openalex.org/keywords/performance-improvement","display_name":"Performance improvement","score":0.4202463924884796},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.4129924774169922},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.3690343499183655},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3674345016479492},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13501805067062378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8707653284072876},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6410759687423706},{"id":"https://openalex.org/C24394798","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database management system","level":3,"score":0.6188798546791077},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6136391162872314},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.570849597454071},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.5520359873771667},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.550244152545929},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.4934174120426178},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.45267510414123535},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.44434884190559387},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.42297986149787903},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.4202463924884796},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.4129924774169922},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3690343499183655},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3674345016479492},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13501805067062378},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2882903.2903735","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2882903.2903735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1535051245","https://openalex.org/W1586179960","https://openalex.org/W1967601791","https://openalex.org/W1979107684","https://openalex.org/W1988408820","https://openalex.org/W1995302096","https://openalex.org/W2004772832","https://openalex.org/W2050277572","https://openalex.org/W2054468361","https://openalex.org/W2059681118","https://openalex.org/W2064190272","https://openalex.org/W2066860750","https://openalex.org/W2082695854","https://openalex.org/W2111643426","https://openalex.org/W2118906989","https://openalex.org/W2126378271","https://openalex.org/W2127766448","https://openalex.org/W2136083615","https://openalex.org/W2137269004","https://openalex.org/W2151224499","https://openalex.org/W2155119349","https://openalex.org/W2162707967","https://openalex.org/W2262100274","https://openalex.org/W2599011453","https://openalex.org/W4229957504"],"related_works":["https://openalex.org/W2505630977","https://openalex.org/W4385585331","https://openalex.org/W2383709723","https://openalex.org/W1567213510","https://openalex.org/W2626533837","https://openalex.org/W2375584934","https://openalex.org/W2761120596","https://openalex.org/W1575529579","https://openalex.org/W2525788546","https://openalex.org/W1988380406"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,6,30,92,103,121,124,151,171],"show":[4,31,63,122,169],"how":[5,64,123],"use":[7,93,125,132,152],"Nvidia":[8],"GPUs":[9],"and":[10,34,62,118],"host":[11],"CPU":[12,82],"cores":[13],"for":[14,77,99,112],"faster":[15],"query":[16],"processing":[17],"in":[18,43,68,148],"a":[19,44,60,69,126,139,174,181],"DB2":[20],"database":[21,57],"using":[22,37,80,180],"BLU":[23],"Acceleration":[24],"(DB2's":[25],"column":[26],"store":[27],"technology).":[28],"Moreover,":[29],"the":[32,52,85,145,149,160,165],"benefits":[33],"problems":[35],"of":[36,54,95,133,155,162,167,178,184],"hardware":[38],"accelerators":[39],"(more":[40],"specifically":[41],"GPUs)":[42],"real":[45],"commercial":[46],"Relational":[47],"Database":[48],"Management":[49],"System(RDBMS).We":[50],"investigate":[51],"effect":[53],"off-loading":[55],"specific":[56],"operations":[58,100,113],"to":[59,83,136,142,158],"GPU,":[61],"doing":[65],"so":[66],"results":[67,166],"significant":[70],"performance":[71,110,161],"improvement.":[72],"We":[73],"then":[74],"demonstrate":[75],"that":[76,129,170],"some":[78,94],"queries,":[79],"just":[81],"perform":[84],"entire":[86],"operation":[87],"is":[88],"more":[89],"beneficial.":[90],"While":[91],"Nvidia's":[96],"fast":[97],"kernels":[98,111],"like":[101],"sort,":[102],"have":[104],"also":[105],"developed":[106],"our":[107,163],"own":[108],"high":[109],"such":[114],"as":[115],"group":[116],"by":[117],"aggregation.":[119],"Finally,":[120],"dynamic":[127],"design":[128],"can":[130,172],"make":[131],"optimizer":[134],"metadata":[135],"intelligently":[137],"choose":[138],"GPU":[140],"kernel":[141],"run.":[143],"For":[144],"first":[146],"time":[147],"literature,":[150],"benchmarks":[153],"representative":[154],"customer":[156],"environments":[157],"gauge":[159],"prototype,":[164],"which":[168],"get":[173],"speed":[175],"increase":[176],"upwards":[177],"2x,":[179],"realistic":[182],"set":[183],"queries.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
