{"id":"https://openalex.org/W4399156154","doi":"https://doi.org/10.1145/3654948","title":"Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction","display_name":"Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction","publication_year":2024,"publication_date":"2024-05-29","ids":{"openalex":"https://openalex.org/W4399156154","doi":"https://doi.org/10.1145/3654948"},"language":"en","primary_location":{"id":"doi:10.1145/3654948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654948","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-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/A5071227524","display_name":"Shunkang Zhang","orcid":"https://orcid.org/0000-0001-7747-4667"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shunkang Zhang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7747-4667","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003943585","display_name":"Ji Qi","orcid":"https://orcid.org/0000-0002-8548-116X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Qi","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8548-116X","affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071840581","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0002-5780-7900"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["Huawei Theory Lab, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5780-7900","affiliations":[{"raw_affiliation_string":"Huawei Theory Lab, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011466225","display_name":"Andr\u00e9 Brinkmann","orcid":"https://orcid.org/0000-0003-3083-2775"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Brinkmann","raw_affiliation_strings":["Johannes Gutenberg University Mainz, Mainz, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3083-2775","affiliations":[{"raw_affiliation_string":"Johannes Gutenberg University Mainz, Mainz, Germany","institution_ids":["https://openalex.org/I197323543"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4343,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89815013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"2","issue":"3","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9969000220298767,"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":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8848432302474976},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5627756714820862},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.5445511341094971},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.48365864157676697},{"id":"https://openalex.org/keywords/concurrency","display_name":"Concurrency","score":0.45215603709220886},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.42660409212112427},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3975505232810974},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.1792486608028412},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1467483937740326}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8848432302474976},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5627756714820862},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.5445511341094971},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.48365864157676697},{"id":"https://openalex.org/C193702766","wikidata":"https://www.wikidata.org/wiki/Q1414548","display_name":"Concurrency","level":2,"score":0.45215603709220886},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.42660409212112427},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3975505232810974},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.1792486608028412},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1467483937740326},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3654948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654948","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7279405529","display_name":null,"funder_award_id":"2023YFB4503902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1973062929","https://openalex.org/W1983711073","https://openalex.org/W2016995838","https://openalex.org/W2020930775","https://openalex.org/W2030062409","https://openalex.org/W2033836415","https://openalex.org/W2068739275","https://openalex.org/W2109906716","https://openalex.org/W2123686039","https://openalex.org/W2124553891","https://openalex.org/W2151224499","https://openalex.org/W2158347038","https://openalex.org/W2165663045","https://openalex.org/W2257052164","https://openalex.org/W2337480916","https://openalex.org/W2412642011","https://openalex.org/W2799221749","https://openalex.org/W2901608006","https://openalex.org/W2945486614","https://openalex.org/W2945912251","https://openalex.org/W2947756274","https://openalex.org/W2948233700","https://openalex.org/W2948936239","https://openalex.org/W2962771342","https://openalex.org/W2979531022","https://openalex.org/W2999149038","https://openalex.org/W3013082216","https://openalex.org/W3023647491","https://openalex.org/W3030079357","https://openalex.org/W3030149280","https://openalex.org/W3031206277","https://openalex.org/W3033065823","https://openalex.org/W3080797093","https://openalex.org/W3103567827","https://openalex.org/W3107842002","https://openalex.org/W3110062290","https://openalex.org/W3121516856","https://openalex.org/W3161418207","https://openalex.org/W3164254023","https://openalex.org/W3207452942","https://openalex.org/W4210798430","https://openalex.org/W4284974261","https://openalex.org/W4381621971","https://openalex.org/W4383749424","https://openalex.org/W4389628177"],"related_works":["https://openalex.org/W2033778626","https://openalex.org/W2187110187","https://openalex.org/W2026780467","https://openalex.org/W1888970550","https://openalex.org/W3085024073","https://openalex.org/W2018697868","https://openalex.org/W2002371119","https://openalex.org/W4390492895","https://openalex.org/W2886225742","https://openalex.org/W4323662771"],"abstract_inverted_index":{"Learned":[0],"indexes":[1,159],"use":[2],"machine":[3],"learning":[4],"techniques":[5],"to":[6,68,120,155,181,191,206],"improve":[7],"index":[8,98,186],"construction.":[9],"However,":[10],"they":[11],"often":[12],"face":[13],"a":[14,94,100,175],"fundamental":[15],"trade-off":[16,33],"between":[17,125],"performance":[18,47,65,78,126,177],"and":[19,29,79,127,135,148,152,160,209,214],"memory":[20,53,61,80,128,187],"consumption,":[21],"especially":[22],"in":[23,40,82,193,211],"dynamic":[24,83,166],"environments":[25],"with":[26,99,114,183],"frequent":[27],"insert":[28],"delete":[30],"operations.":[31],"This":[32],"stems":[34],"from":[35],"the":[36,49,56,194],"construction":[37,104,110,116],"approaches":[38],"used":[39],"learned":[41,97,158],"indexes:":[42],"The":[43,168],"top-down":[44,115],"approach":[45,58,107],"increases":[46],"at":[48],"cost":[50],"of":[51,179,189],"significant":[52],"overhead,":[54],"while":[55],"bottom-up":[57,109],"focuses":[59],"on":[60,145],"efficiency":[62],"but":[63],"introduces":[64],"issues":[66],"due":[67],"prediction":[69],"errors.":[70],"%":[71],"A":[72],"unified":[73],"solution":[74],"that":[75,172],"simultaneously":[76],"optimizes":[77],"consumption":[81,188],"data":[84,163],"management":[85],"scenarios":[86],"is":[87],"therefore":[88],"highly":[89,95],"desirable.":[90],"We":[91,142],"propose":[92],"Hyper,":[93],"efficient":[96],"novel":[101],"two-phase":[102],"hybrid":[103],"approach.":[105],"Our":[106],"combines":[108],"for":[111,117,165],"leaf":[112],"nodes":[113,119],"inner":[118],"achieve":[121],"an":[122],"optimal":[123],"balance":[124],"consumption.":[129],"Hyper":[130,144,173,201],"effectively":[131],"handles":[132],"concurrent":[133],"writes":[134],"structure":[136],"adjustments":[137],"without":[138],"sacrificing":[139],"query":[140],"performance.":[141],"evaluated":[143],"both":[146],"simple":[147],"complex":[149],"real-world":[150],"datasets":[151],"compared":[153],"it":[154],"seven":[156],"state-of-the-art":[157],"several":[161],"traditional":[162],"structures":[164],"workloads.":[167,216],"evaluation":[169],"results":[170],"show":[171],"achieves":[174,203],"remarkable":[176],"boost":[178],"up":[180,190,205],"3.75\u00d7":[182],"significantly":[184],"reduced":[185],"1610\u00d7":[192],"single-thread":[195],"evaluation.":[196],"In":[197],"high":[198],"concurrency":[199],"scenarios,":[200],"even":[202],"improvements":[204],"5.73\u00d7,":[207],"3.72\u00d7,":[208],"3.99\u00d7":[210],"read-only,":[212],"read-write,":[213],"write-only":[215]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
