{"id":"https://openalex.org/W3157509812","doi":"https://doi.org/10.1145/3412841.3441913","title":"A study of work distribution and contention in database primitives on heterogeneous CPU/GPU architectures","display_name":"A study of work distribution and contention in database primitives on heterogeneous CPU/GPU architectures","publication_year":2021,"publication_date":"2021-03-22","ids":{"openalex":"https://openalex.org/W3157509812","doi":"https://doi.org/10.1145/3412841.3441913","mag":"3157509812"},"language":"en","primary_location":{"id":"doi:10.1145/3412841.3441913","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3412841.3441913","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3412841.3441913","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3412841.3441913","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075564331","display_name":"Michael Gowanlock","orcid":"https://orcid.org/0000-0002-0826-6204"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael Gowanlock","raw_affiliation_strings":["Northern Arizona University"],"affiliations":[{"raw_affiliation_string":"Northern Arizona University","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082543770","display_name":"Zane Fink","orcid":"https://orcid.org/0000-0002-1882-6578"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zane Fink","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057388897","display_name":"Ben Karsin","orcid":"https://orcid.org/0000-0003-4011-8903"},"institutions":[{"id":"https://openalex.org/I132053463","display_name":"Universit\u00e9 Libre de Bruxelles","ror":"https://ror.org/01r9htc13","country_code":"BE","type":"education","lineage":["https://openalex.org/I132053463"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ben Karsin","raw_affiliation_strings":["Universit\u00e9 libre de Bruxelles, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 libre de Bruxelles, Brussels, Belgium","institution_ids":["https://openalex.org/I132053463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101935977","display_name":"J. J. Wright","orcid":"https://orcid.org/0000-0002-2043-0150"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan Wright","raw_affiliation_strings":["Northern Arizona University"],"affiliations":[{"raw_affiliation_string":"Northern Arizona University","institution_ids":["https://openalex.org/I203172682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075564331"],"corresponding_institution_ids":["https://openalex.org/I203172682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04946071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"311","last_page":"320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.998199999332428,"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/T11269","display_name":"Algorithms and Data Compression","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9161133170127869},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.696861207485199},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5795131325721741},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5687905550003052},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.5463732481002808},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5336074829101562},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4799209535121918},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16411536931991577}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9161133170127869},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.696861207485199},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5795131325721741},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5687905550003052},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.5463732481002808},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5336074829101562},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4799209535121918},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16411536931991577},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3412841.3441913","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3412841.3441913","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3412841.3441913","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3412841.3441913","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3412841.3441913","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3412841.3441913","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2585526884","display_name":null,"funder_award_id":"1849559","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7765055871","display_name":null,"funder_award_id":"MISU F 6001 1","funder_id":"https://openalex.org/F4320321390","funder_display_name":"Fonds De La Recherche Scientifique - FNRS"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321390","display_name":"Fonds De La Recherche Scientifique - FNRS","ror":"https://ror.org/03q83t159"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3157509812.pdf","grobid_xml":"https://content.openalex.org/works/W3157509812.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W320467665","https://openalex.org/W1486025127","https://openalex.org/W1556859836","https://openalex.org/W1721862381","https://openalex.org/W1864199185","https://openalex.org/W1965214876","https://openalex.org/W1968488889","https://openalex.org/W1976139981","https://openalex.org/W1984296775","https://openalex.org/W2004618348","https://openalex.org/W2004788871","https://openalex.org/W2038123353","https://openalex.org/W2038142281","https://openalex.org/W2045271686","https://openalex.org/W2059796743","https://openalex.org/W2099891946","https://openalex.org/W2105545110","https://openalex.org/W2119547137","https://openalex.org/W2119588908","https://openalex.org/W2130561688","https://openalex.org/W2140795521","https://openalex.org/W2170707555","https://openalex.org/W2275030226","https://openalex.org/W2514867039","https://openalex.org/W2798422034","https://openalex.org/W2886434471","https://openalex.org/W2901549770","https://openalex.org/W2914787265","https://openalex.org/W2954651520","https://openalex.org/W3028661980","https://openalex.org/W3104528661","https://openalex.org/W4234946335"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W2370314112","https://openalex.org/W1912958759","https://openalex.org/W2792081825"],"abstract_inverted_index":{"Graphics":[0],"Processing":[1],"Units":[2],"(GPUs)":[3],"provide":[4],"very":[5],"high":[6],"on-card":[7],"memory":[8],"bandwidth":[9],"which":[10],"can":[11],"be":[12],"exploited":[13],"to":[14,25,33],"address":[15],"data-intensive":[16,40],"workloads.":[17],"To":[18],"maximize":[19],"algorithm":[20],"throughput,":[21],"it":[22],"is":[23],"important":[24],"concurrently":[26],"utilize":[27],"both":[28],"the":[29,69],"CPU":[30],"and":[31,47,74],"GPU":[32],"carry":[34],"out":[35],"database":[36],"queries.":[37],"We":[38],"select":[39],"algorithms":[41],"that":[42],"are":[43],"common":[44],"in":[45],"databases":[46],"data":[48],"analytic":[49],"applications":[50],"including:":[51],"(i)":[52],"scan;":[53],"(ii)":[54],"batched":[55],"predecessor":[56],"searches;":[57],"(iii)":[58],"multiway":[59],"merging;":[60],"and,":[61],"(iv)":[62],"partitioning.":[63],"For":[64],"each":[65],"algorithm,":[66],"we":[67],"examine":[68],"performance":[70],"of":[71],"parallel":[72],"CPU/GPU-only,":[73],"hybrid":[75],"CPU/GPU":[76],"approaches.":[77]},"counts_by_year":[],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}