{"id":"https://openalex.org/W6907659760","doi":"https://doi.org/10.2312/eggh/eggh07/097-106","title":"Scan Primitives for GPU Computing","display_name":"Scan Primitives for GPU Computing","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W6907659760","doi":"https://doi.org/10.2312/eggh/eggh07/097-106"},"language":"en","primary_location":{"id":"doi:10.2312/eggh/eggh07/097-106","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eggh/eggh07/097-106","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/eggh/eggh07/097-106","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sengupta, Shubhabrata","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sengupta, Shubhabrata","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Harris, Mark","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harris, Mark","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang, Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Owens, John D.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Owens, John D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/quicksort","display_name":"Quicksort","score":0.7957000136375427},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.7342000007629395},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.6280999779701233},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4964999854564667},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4936000108718872},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.4578999876976013},{"id":"https://openalex.org/keywords/sorting-algorithm","display_name":"Sorting algorithm","score":0.4032999873161316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8213000297546387},{"id":"https://openalex.org/C2778937211","wikidata":"https://www.wikidata.org/wiki/Q486598","display_name":"Quicksort","level":4,"score":0.7957000136375427},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.7342000007629395},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6316999793052673},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.6280999779701233},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4964999854564667},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4936000108718872},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.4578999876976013},{"id":"https://openalex.org/C108094655","wikidata":"https://www.wikidata.org/wiki/Q181593","display_name":"Sorting algorithm","level":3,"score":0.4032999873161316},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.39559999108314514},{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3393000066280365},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3353999853134155},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C51647924","wikidata":"https://www.wikidata.org/wiki/Q1755277","display_name":"Tridiagonal matrix","level":3,"score":0.32269999384880066},{"id":"https://openalex.org/C18945957","wikidata":"https://www.wikidata.org/wiki/Q5597193","display_name":"Graphics hardware","level":3,"score":0.28380000591278076},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/eggh/eggh07/097-106","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eggh/eggh07/097-106","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2312/eggh/eggh07/097-106","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eggh/eggh07/097-106","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"scan":[1,43,62,70,80],"primitives":[2,7],"are":[3,9],"powerful,":[4],"general-purpose":[5],"data-parallel":[6],"that":[8,67],"building":[10],"blocks":[11],"for":[12,82],"a":[13,73,83],"broad":[14],"range":[15],"of":[16,22,31,50,60],"applications.":[17],"We":[18],"describe":[19],"GPU":[20,48],"implementations":[21,49],"these":[23],"primitives,":[24,44,63,71],"specifically":[25],"an":[26],"efficient":[27],"formulation":[28],"and":[29,52,56,72],"implementation":[30],"segmented":[32],"scan,":[33],"on":[34],"NVIDIA":[35],"GPUs":[36],"using":[37,78],"the":[38,42,58,61,69,79],"CUDA":[39],"API.":[40],"Using":[41],"we":[45],"show":[46],"novel":[47],"quicksort":[51],"sparse":[53],"matrix-vector":[54],"multiply,":[55],"analyze":[57],"performance":[59],"several":[64],"sort":[65],"algorithms":[66],"use":[68],"graphical":[74],"shallow-water":[75],"fluid":[76],"simulation":[77],"framework":[81],"tridiagonal":[84],"matrix":[85],"solver.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
