乐胖代购免代理版

{"id":"https://openalex.org/W2131565410","doi":"https://doi.org/10.1145/2534921.2534949","title":"Parallel spatial query processing on GPUs using R-trees","display_name":"Parallel spatial query processing on GPUs using R-trees","publication_year":2013,"publication_date":"2013-11-04","ids":{"openalex":"https://openalex.org/W2131565410","doi":"https://doi.org/10.1145/2534921.2534949","mag":"2131565410"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2534921.2534949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5113803154","display_name":"Simin You","orcid":null},"institutions":[{"id":"https://openalex.org/I121847817","display_name":"The Graduate Center, CUNY","ror":"https://ror.org/00awd9g61","country_code":"US","type":"education","lineage":["https://openalex.org/I121847817"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simin You","raw_affiliation_strings":["CUNY Graduate Center, New York NY#TAB#"],"affiliations":[{"raw_affiliation_string":"CUNY Graduate Center, New York NY#TAB#","institution_ids":["https://openalex.org/I121847817"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101482691","display_name":"Jianting Zhang","orcid":"https://orcid.org/0000-0002-0161-9716"},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianting Zhang","raw_affiliation_strings":["City College of New York, New York, NY"],"affiliations":[{"raw_affiliation_string":"City College of New York, New York, NY","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071062190","display_name":"Le Gruenwald","orcid":"https://orcid.org/0000-0002-5245-4747"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Le Gruenwald","raw_affiliation_strings":["University of Oklahoma, Norman, OK"],"affiliations":[{"raw_affiliation_string":"University of Oklahoma, Norman, OK","institution_ids":["https://openalex.org/I8692664"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.865,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":57,"citation_normalized_percentile":{"value":0.958868,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9999,"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":0.9999,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9942,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9708,"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/spatial-query","display_name":"Spatial Query","score":0.48540482},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.41043824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8520577},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6648366},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.54409724},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5350536},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.5246587},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5107255},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.48540482},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.45848793},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.41043824},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.32050323},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.20797527},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.14027894},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.13516015},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1311326},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.09872162},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2534921.2534949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46,"display_name":"Industry, innovation and infrastructure"}],"grants":[{"funder":"https://openalex.org/F4320332477","funder_display_name":"Graduate Center","award_id":null},{"funder":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems","award_id":"IIS-1302423"}],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1497953515","https://openalex.org/W1511170346","https://openalex.org/W1581055071","https://openalex.org/W2029197886","https://openalex.org/W2030473127","https://openalex.org/W2034796110","https://openalex.org/W2046449939","https://openalex.org/W2066045135","https://openalex.org/W2077110411","https://openalex.org/W2085830238","https://openalex.org/W2106642566","https://openalex.org/W2117074936","https://openalex.org/W2118269922","https://openalex.org/W2118678071","https://openalex.org/W2133613202","https://openalex.org/W2135961964","https://openalex.org/W2147478060","https://openalex.org/W4252939177"],"related_works":["https://openalex.org/W3048701459","https://openalex.org/W2792081825","https://openalex.org/W240129890","https://openalex.org/W2389600408","https://openalex.org/W2370314112","https://openalex.org/W2364044215","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W1963859303","https://openalex.org/W1912958759"],"abstract_inverted_index":{"R-Trees":[0,94,113,120,143],"are":[1,21,32],"popular":[2],"spatial":[3,76,102],"indexing":[4],"techniques":[5,106,141],"that":[6,134],"have":[7,98,132],"been":[8],"widely":[9],"adopted":[10],"in":[11,36],"many":[12],"geospatial":[13,54],"applications.":[14],"As":[15],"commodity":[16],"GPUs":[17,57,81,108],"(Graphics":[18],"Processing":[19],"Units)":[20],"increasingly":[22],"becoming":[23],"available":[24],"on":[25,46,56,80,95,107,115,122,149,167],"personal":[26],"workstations":[27],"and":[28,51,75,117,129,163],"cluster":[29],"computers,":[30],"there":[31],"considerable":[33],"research":[34],"interests":[35],"applying":[37],"the":[38,67],"massive":[39],"data":[40,55,90],"parallel":[41,101,138,154],"GPGPU":[42],"(General":[43],"Purpose":[44],"computing":[45],"GPUs)":[47],"technologies":[48],"to":[49,86],"index":[50],"query":[52,78,104,139],"large-scale":[53],"using":[58,82,109,126,142],"R-Trees.":[59,83],"In":[60,84],"this":[61],"study,":[62],"we":[63,97],"aim":[64],"at":[65],"evaluating":[66],"potentials":[68],"of":[69,161],"accelerating":[70],"both":[71,110,127],"R-Tree":[72],"bulk":[73,118],"loading":[74],"window":[77,103],"processing":[79,105,140],"addition":[85],"designing":[87],"an":[88],"efficient":[89],"layout":[91],"schema":[92],"for":[93],"GPUs,":[96],"implemented":[99],"several":[100],"dynamically":[111],"generated":[112],"constructed":[114,121],"CPUs":[116],"loaded":[119],"GPUs.":[123,168],"Extensive":[124],"experiments":[125],"synthetic":[128],"real-world":[130],"datasets":[131],"shown":[133],"our":[135],"GPU":[136],"based":[137],"can":[144],"achieve":[145],"about":[146],"10X":[147],"speedups":[148],"average":[150],"over":[151],"8-core":[152],"CPU":[153],"implementations":[155],"by":[156],"effectively":[157],"utilizing":[158],"large":[159],"numbers":[160],"processors":[162],"high":[164],"memory":[165],"bandwidth":[166]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2131565410","counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4}],"updated_date":"2024-12-10T10:47:20.618761","created_date":"2016-06-24"}