{"id":"https://openalex.org/W3199745322","doi":"https://doi.org/10.1145/3533702.3534917","title":"Micro-architectural analysis of a learned index","display_name":"Micro-architectural analysis of a learned index","publication_year":2022,"publication_date":"2022-06-17","ids":{"openalex":"https://openalex.org/W3199745322","doi":"https://doi.org/10.1145/3533702.3534917","mag":"3199745322"},"language":"en","primary_location":{"id":"doi:10.1145/3533702.3534917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3533702.3534917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management","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/A5037108352","display_name":"Mikkel Koed M\u00f8ller Aasted","orcid":"https://orcid.org/0000-0001-7237-7948"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Mikkel M\u00f8ller Andersen","raw_affiliation_strings":["Aalborg University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061990490","display_name":"P\u0131nar T\u00f6z\u00fcn","orcid":"https://orcid.org/0000-0001-6838-4854"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Pinar T\u00f6z\u00fcn","raw_affiliation_strings":["IT University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"IT University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I83467386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037108352"],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":1.1034,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80487918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9943000078201294,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9943000078201294,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9897000193595886,"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":0.8241422176361084},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.7333759665489197},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7191115021705627},{"id":"https://openalex.org/keywords/memory-hierarchy","display_name":"Memory hierarchy","score":0.7173300981521606},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6439511775970459},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.6219093799591064},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.6118017435073853},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4493268132209778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38699421286582947},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32965996861457825},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.3088095188140869},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.24869704246520996},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1825878918170929},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17031073570251465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07657122611999512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8241422176361084},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.7333759665489197},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7191115021705627},{"id":"https://openalex.org/C2778100165","wikidata":"https://www.wikidata.org/wiki/Q1589327","display_name":"Memory hierarchy","level":3,"score":0.7173300981521606},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6439511775970459},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.6219093799591064},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6118017435073853},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4493268132209778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38699421286582947},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32965996861457825},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.3088095188140869},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.24869704246520996},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1825878918170929},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17031073570251465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07657122611999512},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3533702.3534917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3533702.3534917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/7eaca7f3-c2c9-4f61-90f5-96b0e20b1d56","is_oa":false,"landing_page_url":"https://pure.itu.dk/portal/da/publications/7eaca7f3-c2c9-4f61-90f5-96b0e20b1d56","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Andersen, M M & T\u00f6z\u00fcn, P 2022, Micro-architectural analysis of a learned index. in R Bordawekar, O Shmueli, Y Amsterdamer, D Firmani & R Marcus (eds), aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022. Association for Computing Machinery, pp. 5:1-5:12, International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, United States, 17/06/2022. https://doi.org/10.1145/3533702.3534917","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/bb9a2673-86b5-4bbb-9f76-fcf7ebe27014","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/bb9a2673-86b5-4bbb-9f76-fcf7ebe27014","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Andersen, M M & T\u00f6z\u00fcn, P 2022, Micro-architectural analysis of a learned index. in Proceedings of the 5th International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2022 - In conjunction with the 2022 ACM SIGMOD/PODS Conference., 5, Association for Computing Machinery (ACM), Proceedings of the 5th International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2022 - In conjunction with the 2022 ACM SIGMOD/PODS Conference, pp. 1-12, 5th International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2022 - In conjunction with the 2022 ACM SIGMOD/PODS Conference, Philadelphia, United States, 17/06/2022. https://doi.org/10.1145/3533702.3534917","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1963674762","https://openalex.org/W1982752205","https://openalex.org/W1985229168","https://openalex.org/W2008441771","https://openalex.org/W2013062050","https://openalex.org/W2030062409","https://openalex.org/W2036895660","https://openalex.org/W2038057969","https://openalex.org/W2050078636","https://openalex.org/W2127241402","https://openalex.org/W2141181087","https://openalex.org/W2150054597","https://openalex.org/W2155651153","https://openalex.org/W2172190421","https://openalex.org/W2272535669","https://openalex.org/W2539672212","https://openalex.org/W2610776462","https://openalex.org/W2948233700","https://openalex.org/W2962771342","https://openalex.org/W2979531022","https://openalex.org/W2989593421","https://openalex.org/W3011145936","https://openalex.org/W3023647491","https://openalex.org/W3029564598","https://openalex.org/W3033065823","https://openalex.org/W3096737792","https://openalex.org/W3102117087","https://openalex.org/W3103567827","https://openalex.org/W3106489949","https://openalex.org/W3121516856","https://openalex.org/W3144778742","https://openalex.org/W3145045951","https://openalex.org/W3146824671","https://openalex.org/W3204126760","https://openalex.org/W4246229774"],"related_works":["https://openalex.org/W2035037799","https://openalex.org/W1971123707","https://openalex.org/W2066802334","https://openalex.org/W2372453241","https://openalex.org/W2789847084","https://openalex.org/W2371387875","https://openalex.org/W2531660186","https://openalex.org/W1987871343","https://openalex.org/W2064670891","https://openalex.org/W1508699539"],"abstract_inverted_index":{"Since":[0],"the":[1,33],"publication":[2],"of":[3,35],"The":[4],"Case":[5],"for":[6,25],"Learned":[7],"Index":[8],"Structures":[9],"in":[10,18],"2018":[11],"[26],":[12],"there":[13],"has":[14],"been":[15,50],"a":[16,86],"rise":[17],"research":[19],"that":[20],"focuses":[21],"on":[22,60],"learned":[23,36,82],"indexes":[24,37,83],"different":[26,30],"domains":[27],"and":[28,67,79],"with":[29],"functionalities.":[31],"While":[32],"effectiveness":[34],"as":[38,46,65],"an":[39],"alternative":[40],"to":[41,58,76],"traditional":[42],"index":[43,68],"structures":[44],"such":[45,64],"B+Trees":[47],"have":[48],"already":[49],"demonstrated":[51],"by":[52],"several":[53],"studies,":[54],"previous":[55],"work":[56],"tend":[57],"focus":[59],"higher-level":[61],"performance":[62],"metrics":[63],"throughput":[66],"size.":[69],"In":[70],"this":[71],"paper,":[72],"our":[73],"goal":[74],"is":[75],"dig":[77],"deeper":[78],"investigate":[80],"how":[81],"behave":[84],"at":[85],"micro-architectural":[87],"level.":[88]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}