{"id":"https://openalex.org/W1912958759","doi":null,"title":"CUDA\ub97c \ud65c\uc6a9\ud55c \uacc4\uce35\uc801 \uad70\uc9d1\ud654\uc758 \uc131\ub2a5 \ud5a5\uc0c1","display_name":"CUDA\ub97c \ud65c\uc6a9\ud55c \uacc4\uce35\uc801 \uad70\uc9d1\ud654\uc758 \uc131\ub2a5 \ud5a5\uc0c1","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W1912958759","mag":"1912958759"},"language":"ko","primary_location":{"id":"mag:1912958759","doi":null,"is_oa":false,"landing_page_url":"http://www.dbpia.co.kr/Article/NODE01593373","pdf_url":null,"source":{"id":"https://openalex.org/S4306495813","display_name":"\ub300\ud55c\uc804\uc790\uacf5\ud559\ud68c \ud559\uc220\ub300\ud68c","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\ub300\ud55c\uc804\uc790\uacf5\ud559\ud68c \ud559\uc220\ub300\ud68c","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5062568762","display_name":"\uc774\uc138\uc77c","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\uc774\uc138\uc77c","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005072710","display_name":"\uc724\uc131\ub85c","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\uc724\uc131\ub85c","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"437","last_page":"438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.975600004196167,"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":0.975600004196167,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.01730000041425228,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/hierarchical-clustering","display_name":"hierarchical clustering","score":0.8849999904632568},{"id":"https://openalex.org/keywords/single-link-clustering","display_name":"single-link clustering","score":0.9200000166893005},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.9399999976158142},{"id":"https://openalex.org/keywords/gpgpu","display_name":"GPGPU","score":0.8180000185966492},{"id":"https://openalex.org/keywords/graphics-processing-units","display_name":"graphics processing units","score":0.7889999747276306},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"parallel computing","score":0.6430000066757202},{"id":"https://openalex.org/keywords/performance-acceleration","display_name":"performance acceleration","score":0.781000018119812}],"concepts":[{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.9649937152862549},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.8442563414573669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8163152933120728},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7728308439254761},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7080426216125488},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.601197361946106},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5839136838912964},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5127924084663391},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.36232709884643555},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32983046770095825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16237512230873108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08604967594146729}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:1912958759","doi":null,"is_oa":false,"landing_page_url":"http://www.dbpia.co.kr/Article/NODE01593373","pdf_url":null,"source":{"id":"https://openalex.org/S4306495813","display_name":"\ub300\ud55c\uc804\uc790\uacf5\ud559\ud68c \ud559\uc220\ub300\ud68c","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\ub300\ud55c\uc804\uc790\uacf5\ud559\ud68c \ud559\uc220\ub300\ud68c","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W185951528","https://openalex.org/W2101415957","https://openalex.org/W2758943938","https://openalex.org/W1597285176","https://openalex.org/W2904807566","https://openalex.org/W2075228629","https://openalex.org/W2360287329","https://openalex.org/W4394910839","https://openalex.org/W1914734288","https://openalex.org/W1989940448"],"abstract_inverted_index":{"As":[0],"the":[1],"performance":[2],"of":[3,51],"graphics":[4,11],"hardware":[5],"rapidly":[6],"increases,":[7],"general-purpose":[8],"computation":[9,50],"on":[10],"processing":[12],"units":[13],"(GPGPUs)":[14],"is":[15,55,69],"emerging":[16],"in":[17],"various":[18],"fields":[19],"today.":[20],"NVIDIA":[21],"Corp.":[22],"has":[23],"introduced":[24],"a":[25,40],"GPGPU":[26,33],"development":[27],"environment":[28],"called":[29],"CUDA":[30],"to":[31,43],"facilitate":[32],"programming.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"CUDA-based":[41,66],"approach":[42],"speedup":[44],"hierarchical":[45,67],"clustering":[46,68],"with":[47],"single-link.":[48],"The":[49],"pairwise":[52],"distance":[53],"matrices":[54],"accelerated":[56],"by":[57],"generating":[58],"many":[59],"threads.":[60],"Our":[61],"experimental":[62],"results":[63],"show":[64],"that":[65],"approximately":[70],"twice":[71],"faster":[72],"than":[73],"traditional":[74],"methods.":[75]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}
