{"id":"https://openalex.org/W3135737983","doi":"https://doi.org/10.1145/3437120.3437343","title":"An Improved GPU-based Algorithmfor Processing the k Nearest Neighbor Query","display_name":"An Improved GPU-based Algorithmfor Processing the k Nearest Neighbor Query","publication_year":2020,"publication_date":"2020-11-20","ids":{"openalex":"https://openalex.org/W3135737983","doi":"https://doi.org/10.1145/3437120.3437343","mag":"3135737983"},"language":"en","primary_location":{"id":"doi:10.1145/3437120.3437343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437120.3437343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"24th Pan-Hellenic Conference on Informatics","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/A5073699318","display_name":"Polychronis Velentzas","orcid":"https://orcid.org/0000-0001-8992-9796"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Polychronis Velentzas","raw_affiliation_strings":["University of Thessaly, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Thessaly, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022986471","display_name":"Panagiotis Moutafis","orcid":"https://orcid.org/0000-0002-4156-0827"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Moutafis","raw_affiliation_strings":["University of Thessaly, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Thessaly, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060010440","display_name":"George Mavrommatis","orcid":"https://orcid.org/0000-0003-3018-5416"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Mavrommatis","raw_affiliation_strings":["Hellenic Open University, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hellenic Open University, Greece","institution_ids":["https://openalex.org/I231025917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.493,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63204703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"372","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.79575514793396},{"id":"https://openalex.org/keywords/heap","display_name":"Heap (data structure)","score":0.7812174558639526},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6908978819847107},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4849553108215332},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41483426094055176},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4121548533439636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3953600823879242},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.38641810417175293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22805273532867432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09028849005699158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79575514793396},{"id":"https://openalex.org/C134757568","wikidata":"https://www.wikidata.org/wiki/Q274089","display_name":"Heap (data structure)","level":2,"score":0.7812174558639526},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6908978819847107},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4849553108215332},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41483426094055176},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4121548533439636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3953600823879242},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.38641810417175293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22805273532867432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09028849005699158},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3437120.3437343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437120.3437343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"24th Pan-Hellenic Conference on Informatics","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lib.uth.gr:11615/80560","is_oa":false,"landing_page_url":"http://hdl.handle.net/11615/80560","pdf_url":null,"source":{"id":"https://openalex.org/S4306400243","display_name":"University of Thessaly Institutional Repository (University of Thessaly)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145722265","host_organization_name":"University of Thessaly","host_organization_lineage":["https://openalex.org/I145722265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM International Conference Proceeding Series","raw_type":"conferenceItem"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W841828754","https://openalex.org/W1568832590","https://openalex.org/W2009498843","https://openalex.org/W2080928154","https://openalex.org/W2124592110","https://openalex.org/W2289472491","https://openalex.org/W2735481939","https://openalex.org/W2984998563","https://openalex.org/W3109639477"],"related_works":["https://openalex.org/W3158777280","https://openalex.org/W2093687902","https://openalex.org/W2949158926","https://openalex.org/W4301885003","https://openalex.org/W2005058894","https://openalex.org/W1996981508","https://openalex.org/W1989205740","https://openalex.org/W4387561287","https://openalex.org/W2951476362","https://openalex.org/W1519594870"],"abstract_inverted_index":{"The":[0],"k":[1],"Nearest":[2],"Neighbor":[3],"(k-NN)":[4],"query":[5,10],"is":[6],"a":[7,22,41],"common":[8],"spatial":[9],"that":[11,47,84],"appears":[12],"in":[13,58,89],"several":[14],"big":[15],"data":[16],"applications.":[17],"We":[18,44],"propose":[19],"and":[20,66],"implement":[21],"new":[23,86],"GPU-based":[24],"algorithm":[25,87],"for":[26],"the":[27,48,54,85,91],"k-NN":[28,55],"query,":[29,56],"which":[30],"improves":[31],"our":[32,79],"previous":[33],"Symmetric":[34],"Progression":[35],"Partitioning":[36],"method":[37],"(SPP)":[38],"by":[39],"adding":[40],"heap":[42,51],"buffer.":[43],"experimentally":[45],"prove":[46],"addition":[49],"of":[50,61,78],"speeds":[52],"up":[53],"especially":[57],"larger":[59],"values":[60],"k.":[62],"Using":[63],"random,":[64],"synthetic":[65],"real":[67],"datasets,":[68],"we":[69],"present":[70],"an":[71],"extensive":[72],"experimental":[73],"performance":[74],"comparison":[75,82],"against":[76],"two":[77],"algorithms.":[80],"This":[81],"shows":[83],"excels":[88],"all":[90],"conducted":[92],"experiments.":[93]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2021-03-15T00:00:00"}