{"id":"https://openalex.org/W2062666276","doi":"https://doi.org/10.1145/2619228.2619234","title":"Vectorized Bloom filters for advanced SIMD processors","display_name":"Vectorized Bloom filters for advanced SIMD processors","publication_year":2014,"publication_date":"2014-06-23","ids":{"openalex":"https://openalex.org/W2062666276","doi":"https://doi.org/10.1145/2619228.2619234","mag":"2062666276"},"language":"en","primary_location":{"id":"doi:10.1145/2619228.2619234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2619228.2619234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth International Workshop on Data Management on New Hardware","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/A5077806101","display_name":"Orestis Polychroniou","orcid":"https://orcid.org/0000-0002-3164-0137"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Orestis Polychroniou","raw_affiliation_strings":["Columbia University"],"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021663937","display_name":"Kenneth A. Ross","orcid":"https://orcid.org/0000-0001-9397-6990"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth A. Ross","raw_affiliation_strings":["Columbia University"],"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077806101"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":5.036,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.95626351,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9998000264167786,"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/T11478","display_name":"Caching and Content Delivery","score":0.9998000264167786,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.996999979019165,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9961000084877014,"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/simd","display_name":"SIMD","score":0.9091321229934692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8881804943084717},{"id":"https://openalex.org/keywords/bloom-filter","display_name":"Bloom filter","score":0.8267881870269775},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7662317752838135},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.5935972929000854},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5176628232002258},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.49413612484931946},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.42040324211120605},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17051109671592712}],"concepts":[{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.9091321229934692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8881804943084717},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.8267881870269775},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7662317752838135},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.5935972929000854},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5176628232002258},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.49413612484931946},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.42040324211120605},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17051109671592712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2619228.2619234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2619228.2619234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth International Workshop on Data Management on New Hardware","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1602137482","https://openalex.org/W1967601791","https://openalex.org/W1995302096","https://openalex.org/W2006552857","https://openalex.org/W2023797161","https://openalex.org/W2064803799","https://openalex.org/W2069074882","https://openalex.org/W2081533422","https://openalex.org/W2081869611","https://openalex.org/W2096496252","https://openalex.org/W2123845384","https://openalex.org/W2125763460","https://openalex.org/W2126540423","https://openalex.org/W2144399314","https://openalex.org/W2147076738","https://openalex.org/W2151224499","https://openalex.org/W2153952995","https://openalex.org/W2157740020","https://openalex.org/W2166955231","https://openalex.org/W2224270331","https://openalex.org/W3102704970"],"related_works":["https://openalex.org/W1992352827","https://openalex.org/W2994245508","https://openalex.org/W4242172182","https://openalex.org/W2082875307","https://openalex.org/W4237780868","https://openalex.org/W4285302443","https://openalex.org/W2019451907","https://openalex.org/W2127594310","https://openalex.org/W2137845512","https://openalex.org/W4236526691"],"abstract_inverted_index":{"Analytics":[0],"are":[1,130],"at":[2],"the":[3,32,53,78,125,156],"core":[4],"of":[5,35,55,59,124],"many":[6],"business":[7],"intelligence":[8],"tasks.":[9],"Efficient":[10],"query":[11],"execution":[12],"is":[13,77,95,122,159],"facilitated":[14],"by":[15],"advanced":[16],"hardware":[17,37],"features,":[18],"such":[19,75],"as":[20],"multi-core":[21],"parallelism,":[22],"shared-nothing":[23],"low-latency":[24],"caches,":[25],"and":[26,44,92,121,132],"SIMD":[27,33,126],"vector":[28],"instructions.":[29],"Only":[30],"recently,":[31],"capabilities":[34],"mainstream":[36],"have":[38],"been":[39],"augmented":[40],"with":[41,100],"wider":[42],"vectors":[43],"non-contiguous":[45],"loads":[46],"termed":[47],"gathers.":[48],"While":[49],"analytical":[50],"DBMSs":[51],"minimize":[52],"use":[54],"indexes":[56],"in":[57,89],"favor":[58],"scans":[60],"based":[61,85,113],"on":[62,86,114],"sequential":[63],"memory":[64],"accesses,":[65],"some":[66],"data":[67],"structures":[68],"remain":[69],"crucial.":[70],"The":[71],"Bloom":[72,111,157],"filter,":[73],"one":[74],"example,":[76],"most":[79],"efficient":[80],"structure":[81],"for":[82,109,136],"filtering":[83],"tuples":[84],"their":[87],"existence":[88],"a":[90,106,144],"set":[91],"its":[93],"performance":[94,146],"critical":[96],"when":[97,155],"joining":[98],"tables":[99],"vastly":[101],"different":[102],"cardinalities.":[103],"We":[104],"introduce":[105],"vectorized":[107],"implementation":[108],"probing":[110],"filters":[112],"gathers":[115],"that":[116,151],"eliminates":[117],"conditional":[118],"control":[119],"flow":[120],"independent":[123],"length.":[127],"Our":[128,141],"techniques":[129],"generic":[131],"can":[133,152],"be":[134],"reused":[135],"accelerating":[137],"other":[138],"database":[139],"operations.":[140],"evaluation":[142],"indicates":[143],"significant":[145],"improvement":[147],"over":[148],"scalar":[149],"code":[150],"exceed":[153],"3X":[154],"filter":[158],"cache-resident.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}