{"id":"https://openalex.org/W2625370688","doi":"https://doi.org/10.1109/aiccsa.2016.7945796","title":"Exploiting GPUs to accelerate clustering algorithms","display_name":"Exploiting GPUs to accelerate clustering algorithms","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2625370688","doi":"https://doi.org/10.1109/aiccsa.2016.7945796","mag":"2625370688"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2016.7945796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2016.7945796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","raw_type":"proceedings-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/A5073474306","display_name":"Mahmoud Al\u2010Ayyoub","orcid":"https://orcid.org/0000-0001-9372-9076"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Mahmoud Al-Ayyoub","raw_affiliation_strings":["Jordan University of Science and Technology, Irbid, Jordan"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science and Technology, Irbid, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066389287","display_name":"Qussai Yaseen","orcid":"https://orcid.org/0000-0003-0777-1871"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Qussai Yaseen","raw_affiliation_strings":["Jordan University of Science and Technology, Irbid, Jordan"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science and Technology, Irbid, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081535892","display_name":"Moahmmed A. Shehab","orcid":null},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Moahmmed A. Shehab","raw_affiliation_strings":["Jordan University of Science and Technology, Irbid, Jordan"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science and Technology, Irbid, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032187551","display_name":"Yaser Jararweh","orcid":"https://orcid.org/0000-0002-4403-3846"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Yaser Jararweh","raw_affiliation_strings":["Jordan University of Science and Technology, Irbid, Jordan"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science and Technology, Irbid, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057875301","display_name":"Firas Albalas","orcid":"https://orcid.org/0000-0002-3060-9998"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Firas Albalas","raw_affiliation_strings":["Jordan University of Science and Technology, Irbid, Jordan"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science and Technology, Irbid, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069108646","display_name":"Elhadj Benkhelifa","orcid":"https://orcid.org/0000-0001-6168-2664"},"institutions":[{"id":"https://openalex.org/I198012923","display_name":"University of Staffordshire","ror":"https://ror.org/00d6k8y35","country_code":"GB","type":"education","lineage":["https://openalex.org/I198012923"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Elhadj Benkhelifa","raw_affiliation_strings":["Mobile Fusion Applied Research Centre, Staffordshire University, Stafford, UK"],"affiliations":[{"raw_affiliation_string":"Mobile Fusion Applied Research Centre, Staffordshire University, Stafford, UK","institution_ids":["https://openalex.org/I198012923"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073474306"],"corresponding_institution_ids":["https://openalex.org/I156983542"],"apc_list":null,"apc_paid":null,"fwci":2.67,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.92520408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9933000206947327,"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/T11106","display_name":"Data Management and Algorithms","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8765987157821655},{"id":"https://openalex.org/keywords/laptop","display_name":"Laptop","score":0.727141797542572},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.6987732648849487},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.65525221824646},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6538218259811401},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5419411063194275},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.514216423034668},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4369199872016907},{"id":"https://openalex.org/keywords/data-parallelism","display_name":"Data parallelism","score":0.4334760010242462},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4250227212905884},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.41065889596939087},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.408201664686203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39497488737106323},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.18028557300567627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10444191098213196}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8765987157821655},{"id":"https://openalex.org/C2780008327","wikidata":"https://www.wikidata.org/wiki/Q3962","display_name":"Laptop","level":2,"score":0.727141797542572},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.6987732648849487},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.65525221824646},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6538218259811401},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5419411063194275},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.514216423034668},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4369199872016907},{"id":"https://openalex.org/C61483411","wikidata":"https://www.wikidata.org/wiki/Q3124522","display_name":"Data parallelism","level":3,"score":0.4334760010242462},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4250227212905884},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.41065889596939087},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.408201664686203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39497488737106323},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.18028557300567627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10444191098213196},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa.2016.7945796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2016.7945796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W191714665","https://openalex.org/W197505830","https://openalex.org/W1596680487","https://openalex.org/W1965668888","https://openalex.org/W1974201668","https://openalex.org/W1988819287","https://openalex.org/W1992419399","https://openalex.org/W1999685387","https://openalex.org/W2011430131","https://openalex.org/W2065985268","https://openalex.org/W2106581202","https://openalex.org/W2112239035","https://openalex.org/W2127143953","https://openalex.org/W2140405352","https://openalex.org/W2144891062","https://openalex.org/W2161160262","https://openalex.org/W2166771168","https://openalex.org/W2485273696","https://openalex.org/W2538271227","https://openalex.org/W2538521643","https://openalex.org/W2626950451","https://openalex.org/W4230588984","https://openalex.org/W6607861299","https://openalex.org/W6608039184","https://openalex.org/W6728523319"],"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":{"Big":[0],"data":[1,7,39],"is":[2,188],"a":[3,98,163,177,211],"main":[4,74],"problem":[5],"for":[6,135,139,142,150,154,168,192,199,214],"mining":[8,40],"methods.":[9],"Fortunately,":[10],"the":[11,22,32,45,48,52,56,57,107,112,119,121,125,130,143,145,157,160,180,184,202,205,215],"rapid":[12],"advances":[13],"in":[14,30,179],"affordable":[15],"high":[16],"performance":[17,58,181],"computing":[18],"platforms":[19],"such":[20],"as":[21],"Graphics":[23],"Processing":[24],"Unit":[25],"(GPU)":[26],"have":[27],"helped":[28],"researchers":[29],"reducing":[31],"execution":[33],"time":[34],"of":[35,47,51,59,106,124,162,183,195,207],"many":[36],"algorithms":[37],"including":[38,90],"algorithms.":[41,72],"This":[42],"paper":[43,158],"discusses":[44],"utilization":[46],"parallelism":[49,75],"capabilities":[50],"GPU":[53,169],"to":[54,190],"improve":[55],"two":[60,91],"common":[61],"clustering":[62],"algorithms,":[63],"which":[64],"are":[65,77,85,133,148],"K-Means":[66],"(KM)":[67],"and":[68,80,97,115,137,152,197],"Fuzzy":[69],"C-Means":[70],"(FCM)":[71],"Two":[73],"approaches":[76],"presented:":[78],"pure":[79,113,216],"hybrid.":[81],"These":[82],"different":[83,88,92],"versions":[84],"tested":[86],"under":[87],"settings":[89],"GPU-equipped":[93],"machines":[94],"(a":[95],"laptop":[96],"server).":[99],"The":[100,174],"results":[101,175],"show":[102,176],"excellent":[103],"improvement":[104],"gains":[105,123,147],"hybrid":[108,126,185,193],"implementations":[109,127,186],"compared":[110,128],"with":[111,129],"parallel":[114,217],"sequential":[116,131],"ones.":[117],"On":[118,201],"laptop,":[120],"best":[122,146],"ones":[132],"11.3X":[134],"KM":[136,151,196],"10.9X":[138],"FCM.":[140,155,200],"As":[141],"server,":[144],"13.5X":[149],"16.3X":[153],"Moreover,":[156],"explores":[159],"usage":[161],"recent":[164],"memory":[165],"management":[166],"technique":[167],"called":[170],"Unified":[171],"Memory":[172],"(UM).":[173],"decrease":[178],"gain":[182],"that":[187],"equal":[189],"44%":[191],"version":[194],"61%":[198],"other":[203],"hand,":[204],"use":[206],"UM":[208],"does":[209],"introduce":[210],"small":[212],"advantage":[213],"implementation.":[218]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}