{"id":"https://openalex.org/W1965634646","doi":"https://doi.org/10.1145/1869790.1869859","title":"Indexing large-scale raster geospatial data using massively parallel GPGPU computing","display_name":"Indexing large-scale raster geospatial data using massively parallel GPGPU computing","publication_year":2010,"publication_date":"2010-11-02","ids":{"openalex":"https://openalex.org/W1965634646","doi":"https://doi.org/10.1145/1869790.1869859","mag":"1965634646"},"language":"en","primary_location":{"id":"doi:10.1145/1869790.1869859","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1869790.1869859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"paratext","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/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 City, NY","City College of New York, New York City, NY#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City College of New York, New York City, NY","institution_ids":["https://openalex.org/I125687163"]},{"raw_affiliation_string":"City College of New York, New York City, NY#TAB#","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"middle","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","CUNY Graduate Center, New York NY#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUNY Graduate Center, New York, NY","institution_ids":["https://openalex.org/I121847817"]},{"raw_affiliation_string":"CUNY Graduate Center, New York NY#TAB#","institution_ids":["https://openalex.org/I121847817"]}]},{"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oklahoma, Norman, OK","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":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"450","last_page":"453"},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9944000244140625,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9853000044822693,"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":0.8129183650016785},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.7297393083572388},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6648478507995605},{"id":"https://openalex.org/keywords/uniprocessor-system","display_name":"Uniprocessor system","score":0.6273516416549683},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.6159474849700928},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.612635612487793},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5936787128448486},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5918503999710083},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.5133268237113953},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.46764326095581055},{"id":"https://openalex.org/keywords/quadtree","display_name":"Quadtree","score":0.46403881907463074},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.45682787895202637},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.4544548988342285},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3377647399902344},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3313872218132019},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.27604228258132935},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.26535868644714355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1602613925933838},{"id":"https://openalex.org/keywords/multiprocessing","display_name":"Multiprocessing","score":0.110146164894104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0985080897808075},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08140981197357178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8129183650016785},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.7297393083572388},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6648478507995605},{"id":"https://openalex.org/C79189994","wikidata":"https://www.wikidata.org/wiki/Q3488021","display_name":"Uniprocessor system","level":3,"score":0.6273516416549683},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.6159474849700928},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.612635612487793},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5936787128448486},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5918503999710083},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.5133268237113953},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.46764326095581055},{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.46403881907463074},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.45682787895202637},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.4544548988342285},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3377647399902344},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3313872218132019},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.27604228258132935},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.26535868644714355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1602613925933838},{"id":"https://openalex.org/C4822641","wikidata":"https://www.wikidata.org/wiki/Q846651","display_name":"Multiprocessing","level":2,"score":0.110146164894104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0985080897808075},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08140981197357178},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1869790.1869859","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1869790.1869859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.708.7106","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.708.7106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-cs.ccny.cuny.edu/%7Ejzhang/papers/ACMGIS10_Extended.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.708.8340","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.708.8340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-cs.ccny.cuny.edu/%7Ejzhang/papers/ACMGIS10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W126394981","https://openalex.org/W1488447987","https://openalex.org/W1492783156","https://openalex.org/W1497039964","https://openalex.org/W1497953515","https://openalex.org/W1530672680","https://openalex.org/W1547566968","https://openalex.org/W1553193704","https://openalex.org/W1623781634","https://openalex.org/W1762731526","https://openalex.org/W1868886949","https://openalex.org/W1967810725","https://openalex.org/W1973749534","https://openalex.org/W1974871453","https://openalex.org/W1984954964","https://openalex.org/W1985524902","https://openalex.org/W2000049284","https://openalex.org/W2003863309","https://openalex.org/W2009036829","https://openalex.org/W2014267323","https://openalex.org/W2023413066","https://openalex.org/W2029197886","https://openalex.org/W2036343507","https://openalex.org/W2041474026","https://openalex.org/W2048141913","https://openalex.org/W2050576295","https://openalex.org/W2051923817","https://openalex.org/W2054468361","https://openalex.org/W2068418796","https://openalex.org/W2072775211","https://openalex.org/W2079505261","https://openalex.org/W2089885709","https://openalex.org/W2090714989","https://openalex.org/W2096137215","https://openalex.org/W2098866624","https://openalex.org/W2101429492","https://openalex.org/W2103321910","https://openalex.org/W2103959615","https://openalex.org/W2106642566","https://openalex.org/W2108157916","https://openalex.org/W2112708371","https://openalex.org/W2112776483","https://openalex.org/W2112828875","https://openalex.org/W2114640218","https://openalex.org/W2121082877","https://openalex.org/W2125039738","https://openalex.org/W2125258187","https://openalex.org/W2133873540","https://openalex.org/W2134301786","https://openalex.org/W2137077706","https://openalex.org/W2142499637","https://openalex.org/W2148445409","https://openalex.org/W2150515185","https://openalex.org/W2151224499","https://openalex.org/W2160404300","https://openalex.org/W2168877346","https://openalex.org/W2295862081","https://openalex.org/W2419379928","https://openalex.org/W2798629127","https://openalex.org/W4205806386","https://openalex.org/W4236783998","https://openalex.org/W4285719527","https://openalex.org/W6676993949"],"related_works":["https://openalex.org/W2032965498","https://openalex.org/W2151046618","https://openalex.org/W1972148443","https://openalex.org/W1969233021","https://openalex.org/W2167646277","https://openalex.org/W2063573318","https://openalex.org/W2388314963","https://openalex.org/W3158047141","https://openalex.org/W1656096860","https://openalex.org/W2027443981"],"abstract_inverted_index":{"Advances":[0],"in":[1],"geospatial":[2,10,43],"technologies":[3,21],"have":[4,22,49,68,100],"generated":[5],"large":[6],"amounts":[7],"of":[8,40,66,94],"raster":[9,42,98],"data.":[11],"Massively":[12],"parallel":[13],"General":[14],"Purpose":[15],"Graphics":[16],"Processing":[17],"Unit":[18],"(GPGPU)":[19],"computing":[20,28],"provided":[23],"personal":[24],"computers":[25],"with":[26],"tremendous":[27],"capabilities.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"report":[34],"our":[35],"work":[36],"on":[37,76,90],"fast":[38],"indexing":[39,104],"large-scale":[41],"data":[44,55,82,99],"using":[45,105],"GPGPU":[46],"computing.":[47],"We":[48],"designed":[50],"a":[51,95,106],"cache":[52],"conscious":[53],"quadtree":[54],"structure":[56],"(CCQ-Tree)":[57],"that":[58,102],"is":[59],"suitable":[60],"for":[61],"GPU":[62,111],"indexing.":[63],"A":[64],"set":[65],"algorithms":[67],"been":[69],"developed":[70],"and":[71,84],"integrated":[72],"to":[73,120],"construct":[74],"CCQ-Trees":[75],"GPUs":[77],"by":[78],"utilizing":[79],"multiple":[80,91],"pyramid":[81],"structures":[83],"Z-order":[85],"based":[86],"prefix":[87],"sum.":[88],"Experiments":[89],"4096*4096":[92],"blocks":[93],"global":[96],"precipitation":[97],"shown":[101],"CCQ-Tree":[103],"112-core":[107],"Nvidia":[108],"Quadro":[109],"FX3700":[110],"device":[112],"reduces":[113],"construction":[114],"times":[115],"from":[116],"around":[117],"9.83":[118],"seconds":[119,122],"0.42":[121],"(23X":[123],"speedup).":[124]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
