{"id":"https://openalex.org/W2550681991","doi":"https://doi.org/10.1145/3006386.3006390","title":"High-performance polyline intersection based spatial join on GPU-accelerated clusters","display_name":"High-performance polyline intersection based spatial join on GPU-accelerated clusters","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2550681991","doi":"https://doi.org/10.1145/3006386.3006390","mag":"2550681991"},"language":"en","primary_location":{"id":"doi:10.1145/3006386.3006390","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3006386.3006390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data","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/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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUNY Graduate Center","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City College of New York","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032045758","display_name":"Le Gruenwald","orcid":null},"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oklahoma","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4398,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.54969997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.994700014591217,"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/T11478","display_name":"Caching and Content Delivery","score":0.9926999807357788,"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":0.8233581781387329},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.6827307343482971},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.6564685702323914},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6380136609077454},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5926394462585449},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.5713738203048706},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5527834892272949},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.5313212275505066},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5028628706932068},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.47621971368789673},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.4733854830265045},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44628071784973145},{"id":"https://openalex.org/keywords/workstation","display_name":"Workstation","score":0.4139823615550995},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.39531129598617554},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3242563009262085},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.241639643907547},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.184183269739151},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10985201597213745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8233581781387329},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.6827307343482971},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.6564685702323914},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6380136609077454},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5926394462585449},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.5713738203048706},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5527834892272949},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.5313212275505066},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5028628706932068},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.47621971368789673},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.4733854830265045},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44628071784973145},{"id":"https://openalex.org/C67953723","wikidata":"https://www.wikidata.org/wiki/Q192525","display_name":"Workstation","level":2,"score":0.4139823615550995},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.39531129598617554},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3242563009262085},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.241639643907547},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.184183269739151},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10985201597213745},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3006386.3006390","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3006386.3006390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1505133516","https://openalex.org/W1529261514","https://openalex.org/W1568832590","https://openalex.org/W1587560617","https://openalex.org/W1924988531","https://openalex.org/W1993997820","https://openalex.org/W1998481366","https://openalex.org/W2046713668","https://openalex.org/W2087129702","https://openalex.org/W2115583184","https://openalex.org/W2131565410","https://openalex.org/W2171419575","https://openalex.org/W2189465200","https://openalex.org/W2197411628","https://openalex.org/W2295338537","https://openalex.org/W2296435460","https://openalex.org/W2394680079","https://openalex.org/W2436533802","https://openalex.org/W2440765123","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W2393491644","https://openalex.org/W650102067","https://openalex.org/W4206577045","https://openalex.org/W3086237447","https://openalex.org/W1550806730","https://openalex.org/W2589740103","https://openalex.org/W4230470712","https://openalex.org/W3033055359","https://openalex.org/W2172084996","https://openalex.org/W1966967794"],"abstract_inverted_index":{"The":[0,121],"rapid":[1],"growing":[2],"volumes":[3],"of":[4,53,62,85,112,148],"spatial":[5,14,41,46,92,106,126,141,151],"data":[6,15,28,66,115],"have":[7,48,98],"brought":[8],"significant":[9],"challenges":[10],"on":[11,45,51,95,119,154],"developing":[12,90],"high-performance":[13,91],"processing":[16],"techniques":[17,30,43,94],"in":[18,31,89],"parallel":[19,67,116],"and":[20,100,160,165],"distributed":[21,40,135],"computing":[22,68,117],"environments.":[23],"Spatial":[24],"joins":[25],"are":[26,59],"important":[27,83],"management":[29],"gaining":[32],"insights":[33],"from":[34],"large-scale":[35],"geospatial":[36],"data.":[37],"While":[38],"several":[39],"join":[42,93,107,127,152],"based":[44,105,125],"partitions":[47],"been":[49],"implemented":[50,101],"top":[52],"existing":[54],"Big":[55],"Data":[56],"systems,":[57],"they":[58],"not":[60],"capable":[61,111],"natively":[63,139],"exploiting":[64,113],"massively":[65,114],"power":[69,118],"provided":[70],"by":[71],"modern":[72],"commodity":[73],"Graphics":[74],"Processing":[75],"Units":[76],"(GPUs).":[77],"In":[78],"this":[79],"study,":[80],"as":[81],"an":[82],"component":[84],"our":[86],"research":[87],"initiative":[88],"GPUs,":[96],"we":[97],"designed":[99],"a":[102,132,156],"polyline":[103,123],"intersection":[104,124],"technique":[108,128,153],"that":[109,138],"is":[110,129],"GPUs.":[120],"proposed":[122,150],"integrated":[130],"into":[131],"customized":[133],"lightweight":[134],"execution":[136],"engine":[137],"supports":[140],"partitions.":[142],"We":[143],"empirically":[144],"evaluate":[145],"the":[146,149,173],"performance":[147,169],"both":[155],"standalone":[157],"GPU-equipped":[158],"workstation":[159],"Amazon":[161],"EC2":[162],"GPU-accelerated":[163],"clusters":[164],"demonstrate":[166],"its":[167],"high":[168],"when":[170],"comparing":[171],"with":[172],"state-of-the-art.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}