{"id":"https://openalex.org/W2891840948","doi":"https://doi.org/10.1109/tpds.2018.2869777","title":"A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU","display_name":"A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU","publication_year":2018,"publication_date":"2018-09-12","ids":{"openalex":"https://openalex.org/W2891840948","doi":"https://doi.org/10.1109/tpds.2018.2869777","mag":"2891840948"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2018.2869777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2018.2869777","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-article"},"type":"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/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":["School of Informatics, Computing & Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Computing & Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007558642","display_name":"Cody Rude","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cody M. Rude","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020733506","display_name":"D. M. Blair","orcid":"https://orcid.org/0000-0002-3686-6442"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David M. Blair","raw_affiliation_strings":["Department of Chemistry and the Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry and the Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076800711","display_name":"Justin D. Li","orcid":"https://orcid.org/0000-0003-3315-2038"},"institutions":[{"id":"https://openalex.org/I4210116747","display_name":"Office of Science and Technology Policy","ror":"https://ror.org/02bjkqr85","country_code":"US","type":"government","lineage":["https://openalex.org/I1308683654","https://openalex.org/I4210116747"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin D. Li","raw_affiliation_strings":["AAAS Science & Technology Policy Fellow, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"AAAS Science & Technology Policy Fellow, Washington, DC, USA","institution_ids":["https://openalex.org/I4210116747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088948630","display_name":"Victor Pankratius","orcid":"https://orcid.org/0000-0002-4658-6583"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor Pankratius","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075564331"],"corresponding_institution_ids":["https://openalex.org/I203172682"],"apc_list":null,"apc_paid":null,"fwci":1.4863,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.83723397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":"4","first_page":"766","last_page":"777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9984999895095825,"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":0.9984999895095825,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9950000047683716,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9817000031471252,"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":0.9036589860916138},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.580854594707489},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5742208361625671},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.540864884853363},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5272585153579712},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.461072713136673},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4354478120803833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10112866759300232},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.09474700689315796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9036589860916138},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.580854594707489},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5742208361625671},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.540864884853363},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5272585153579712},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.461072713136673},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4354478120803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10112866759300232},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.09474700689315796},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2018.2869777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2018.2869777","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6000000238418579,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G6896970854","display_name":null,"funder_award_id":"ACI-1442997","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/F4320310804","display_name":"University of Hawai'i","ror":"https://ror.org/03tzaeb71"},{"id":"https://openalex.org/F4320311048","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W29623264","https://openalex.org/W40181301","https://openalex.org/W1480958225","https://openalex.org/W1582398879","https://openalex.org/W1660876363","https://openalex.org/W1673310716","https://openalex.org/W1943306457","https://openalex.org/W1992181154","https://openalex.org/W1992490022","https://openalex.org/W2008286666","https://openalex.org/W2028001415","https://openalex.org/W2028562168","https://openalex.org/W2030780826","https://openalex.org/W2031406373","https://openalex.org/W2048968215","https://openalex.org/W2050277572","https://openalex.org/W2059966434","https://openalex.org/W2118269922","https://openalex.org/W2130561688","https://openalex.org/W2134813265","https://openalex.org/W2160642098","https://openalex.org/W2164125443","https://openalex.org/W2167675119","https://openalex.org/W2168259560","https://openalex.org/W2261553819","https://openalex.org/W2343631639","https://openalex.org/W2487777935","https://openalex.org/W2494473000","https://openalex.org/W2591722715","https://openalex.org/W2593286605","https://openalex.org/W2612387305","https://openalex.org/W3100575885","https://openalex.org/W3105961256","https://openalex.org/W4237171445","https://openalex.org/W4245665133","https://openalex.org/W4247105055","https://openalex.org/W4251164127","https://openalex.org/W6601228495","https://openalex.org/W6637131181","https://openalex.org/W6832800064"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W3176449234","https://openalex.org/W2353158678","https://openalex.org/W2767235736","https://openalex.org/W2045002201","https://openalex.org/W4225278791","https://openalex.org/W4322502698"],"abstract_inverted_index":{"We":[0,49,66,111,154],"introduce":[1],"<small>Hybrid-Dbscan</small>":[2,132,163,178],",":[3],"that":[4,56,106],"uses":[5],"the":[6,20,24,40,46,85,127,134,149,166,170,188],"GPU":[7,25,54,78],"and":[8,30,36,51,80,87,98,102],"CPUs":[9],"for":[10,26,71,191],"optimizing":[11],"clustering":[12],"throughput.":[13],"The":[14],"main":[15],"idea":[16],"is":[17,91],"to":[18,38,61,75,95,185],"exploit":[19,57,81],"memory":[21],"bandwidth":[22],"on":[23,84,115,179],"fast":[27],"index":[28],"searches,":[29],"optimize":[31],"data":[32,73,100],"transfers":[33,74],"between":[34],"host":[35,86],"GPU,":[37],"alleviate":[39],"potential":[41],"negative":[42],"performance":[43,160],"impact":[44],"of":[45,140,151,162,169,177,194],"PCIe":[47],"interconnect.":[48],"propose":[50],"compare":[52],"two":[53],"kernels":[55],"grid-based":[58],"indexing":[59],"schemes":[60],"improve":[62],"neighborhood":[63],"search":[64,197],"performance.":[65,110],"employ":[67],"a":[68,138,174,180,192],"batching":[69],"scheme":[70,90],"host-GPU":[72],"obviate":[76],"limited":[77],"memory,":[79],"concurrent":[82],"operations":[83],"GPU.":[88],"This":[89],"robust":[92],"with":[93],"respect":[94],"both":[96],"sparse":[97],"dense":[99],"distributions":[101],"avoids":[103],"buffer":[104],"overflows":[105],"would":[107],"otherwise":[108],"degrade":[109],"evaluate":[112],"our":[113],"approaches":[114],"ionospheric":[116],"total":[117],"electron":[118],"content":[119],"datasets":[120],"as":[121,123],"well":[122],"intermediate-redshift":[124],"galaxies":[125],"from":[126],"Sloan":[128],"Digital":[129],"Sky":[130],"Survey.":[131],"outperforms":[133],"reference":[135],"implementation":[136],"across":[137],"range":[139,193],"application":[141],"scenarios,":[142],"including":[143],"small":[144],"workloads,":[145],"which":[146],"typically":[147],"are":[148,183],"domain":[150],"CPU-only":[152],"algorithms.":[153],"advance":[155],"an":[156],"empirical":[157],"response":[158,189],"time":[159,190],"model":[161],"by":[164],"utilizing":[165],"underlying":[167],"properties":[168],"datasets.":[171],"With":[172],"only":[173],"single":[175],"execution":[176],"dataset,":[181],"we":[182],"able":[184],"accurately":[186],"predict":[187],"<inline-formula><tex-math":[195],"notation=\"LaTeX\">$\\epsilon$</tex-math></inline-formula>":[196],"distances.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}