{"id":"https://openalex.org/W1995302096","doi":"https://doi.org/10.1145/2485278.2485284","title":"High throughput heavy hitter aggregation for modern SIMD processors","display_name":"High throughput heavy hitter aggregation for modern SIMD processors","publication_year":2013,"publication_date":"2013-06-24","ids":{"openalex":"https://openalex.org/W1995302096","doi":"https://doi.org/10.1145/2485278.2485284","mag":"1995302096"},"language":"en","primary_location":{"id":"doi:10.1145/2485278.2485284","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2485278.2485284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth 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":5.6671,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.96115624,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987000226974487,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9980999827384949,"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":0.8370763063430786},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.6527986526489258},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6484882831573486},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.6432805061340332},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.6026095747947693},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5826818943023682},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.533968985080719},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4771151840686798},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43213406205177307},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.26443254947662354},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13562867045402527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370763063430786},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6527986526489258},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6484882831573486},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.6432805061340332},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.6026095747947693},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5826818943023682},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.533968985080719},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4771151840686798},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43213406205177307},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.26443254947662354},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13562867045402527},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2485278.2485284","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2485278.2485284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Workshop on Data Management on New Hardware","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2927006595","display_name":null,"funder_award_id":"IIS-0915956, IIS-1049898","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"}],"funders":[{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1493892051","https://openalex.org/W1501716409","https://openalex.org/W1970779762","https://openalex.org/W2006355640","https://openalex.org/W2018989507","https://openalex.org/W2029866183","https://openalex.org/W2069980026","https://openalex.org/W2080234606","https://openalex.org/W2080723374","https://openalex.org/W2102967864","https://openalex.org/W2104003087","https://openalex.org/W2106771621","https://openalex.org/W2113139394","https://openalex.org/W2124851765","https://openalex.org/W2132998471","https://openalex.org/W2144399314","https://openalex.org/W2147076738","https://openalex.org/W2156751514","https://openalex.org/W2157174514","https://openalex.org/W2172165802","https://openalex.org/W2912601938","https://openalex.org/W6678708722"],"related_works":["https://openalex.org/W4290802965","https://openalex.org/W97789383","https://openalex.org/W2534771569","https://openalex.org/W2037547261","https://openalex.org/W4311812695","https://openalex.org/W1993644742","https://openalex.org/W2291920536","https://openalex.org/W2117788426","https://openalex.org/W2164535554","https://openalex.org/W3011583392"],"abstract_inverted_index":{"Heavy":[0],"hitters":[1,41,60],"are":[2,15],"data":[3,12,32],"items":[4,20],"that":[5],"occur":[6],"at":[7],"high":[8],"frequency":[9],"in":[10,61,65],"a":[11,66],"set.":[13],"They":[14],"among":[16],"the":[17,37,58],"most":[18],"important":[19],"for":[21,57],"an":[22],"organization":[23],"to":[24,53],"summarize":[25],"and":[26],"understand":[27],"during":[28],"analytical":[29],"processing.":[30],"In":[31],"sets":[33],"with":[34],"sufficient":[35],"skew,":[36],"number":[38],"of":[39,49],"heavy":[40,59],"can":[42],"be":[43],"relatively":[44],"small.":[45],"We":[46],"take":[47],"advantage":[48],"this":[50],"small":[51],"footprint":[52],"compute":[54],"aggregate":[55],"functions":[56],"fast":[62],"cache":[63],"memory":[64],"single":[67],"pass.":[68]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}