{"id":"https://openalex.org/W2009475335","doi":"https://doi.org/10.1145/2723372.2764942","title":"JAFAR","display_name":"JAFAR","publication_year":2015,"publication_date":"2015-05-27","ids":{"openalex":"https://openalex.org/W2009475335","doi":"https://doi.org/10.1145/2723372.2764942","mag":"2009475335"},"language":"en","primary_location":{"id":"doi:10.1145/2723372.2764942","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2723372.2764942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024658531","display_name":"Aurelia Augusta","orcid":"https://orcid.org/0000-0002-3525-7784"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aurelia Augusta","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026905380","display_name":"Stratos Idreos","orcid":"https://orcid.org/0000-0002-8271-9187"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stratos Idreos","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2801851002"],"apc_list":null,"apc_paid":null,"fwci":3.4697,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.93591247,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2069","last_page":"2070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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/T10772","display_name":"Distributed systems and fault tolerance","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/T10317","display_name":"Advanced Database Systems and Queries","score":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.7842803001403809},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5316957235336304},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5133751630783081},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.4999980926513672},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4810362160205841},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48083576560020447},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.4687778055667877},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2539393901824951},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.22802019119262695},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17355024814605713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7842803001403809},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5316957235336304},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5133751630783081},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.4999980926513672},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4810362160205841},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48083576560020447},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.4687778055667877},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2539393901824951},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.22802019119262695},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17355024814605713},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2723372.2764942","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2723372.2764942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD 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":14,"referenced_works":["https://openalex.org/W1969911580","https://openalex.org/W1983096721","https://openalex.org/W2042747508","https://openalex.org/W2048466306","https://openalex.org/W2058490651","https://openalex.org/W2072541977","https://openalex.org/W2112547256","https://openalex.org/W2112980698","https://openalex.org/W2117546628","https://openalex.org/W2147657366","https://openalex.org/W2162385899","https://openalex.org/W2164431468","https://openalex.org/W4231250608","https://openalex.org/W4292169167"],"related_works":["https://openalex.org/W2317245370","https://openalex.org/W4249323025","https://openalex.org/W198851386","https://openalex.org/W1980160788","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W2148915962","https://openalex.org/W4313433561","https://openalex.org/W2283866686","https://openalex.org/W2948365806"],"abstract_inverted_index":{"As":[0],"main-memory":[1],"sizes":[2],"have":[3,7,21],"grown,":[4],"data":[5,34,46,90],"systems":[6,69],"been":[8,22,24],"able":[9],"to":[10,40,54,65,97,112,115],"process":[11,70],"entire":[12],"large-scale":[13],"data-sets":[14],"in":[15,50,121],"memory.":[16,98],"However,":[17],"because":[18],"memory":[19,56],"speeds":[20],"not":[23],"keeping":[25],"pace":[26],"with":[27],"CPU":[28,36],"speeds,":[29],"the":[30,78,110],"cost":[31],"of":[32,103],"moving":[33],"into":[35],"caches":[37],"has":[38,109],"begun":[39],"dominate":[41],"certain":[42],"operations":[43,120],"within":[44],"in-memory":[45],"systems.":[47],"Recent":[48],"advances":[49],"hardware":[51,105],"architectures":[52],"point":[53],"near":[55,89],"computation":[57,76],"capabilities":[58],"becoming":[59],"possible":[60],"soon.":[61],"This":[62],"allows":[63],"us":[64],"rethink":[66],"how":[67,73],"database":[68],"queries":[71],"and":[72],"they":[74],"split":[75],"across":[77],"various":[79],"computational":[80],"units.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85,106],"present":[86],"JAFAR,":[87],"a":[88,100],"processing":[91],"accelerator":[92],"for":[93,118],"pushing":[94],"selects":[95],"down":[96],"Through":[99],"detailed":[101],"simulation":[102],"JAFAR":[104],"show":[107],"it":[108],"potential":[111],"provide":[113],"up":[114],"900\\%":[116],"improvement":[117],"select":[119],"modern":[122],"column-stores.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}