{"id":"https://openalex.org/W2784161997","doi":"https://doi.org/10.1109/bigdata.2017.8258315","title":"GPU-based parallel algorithm for generating massive scale-free networks using the preferential attachment model","display_name":"GPU-based parallel algorithm for generating massive scale-free networks using the preferential attachment model","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2784161997","doi":"https://doi.org/10.1109/bigdata.2017.8258315","mag":"2784161997"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/1509591","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013085686","display_name":"Maksudul Alam","orcid":"https://orcid.org/0000-0002-4941-463X"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Maksudul Alam","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046010392","display_name":"Kalyan S. Perumalla","orcid":"https://orcid.org/0000-0002-7458-0832"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyan S. Perumalla","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013085686"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":0.1753,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52751453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"355","issue":null,"first_page":"3302","last_page":"3311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7884615659713745},{"id":"https://openalex.org/keywords/preferential-attachment","display_name":"Preferential attachment","score":0.7216839790344238},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6333168148994446},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5017545223236084},{"id":"https://openalex.org/keywords/scale-free-network","display_name":"Scale-free network","score":0.4754990041255951},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40839290618896484},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3216395378112793},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.11293822526931763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7884615659713745},{"id":"https://openalex.org/C2780600066","wikidata":"https://www.wikidata.org/wiki/Q7239828","display_name":"Preferential attachment","level":3,"score":0.7216839790344238},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6333168148994446},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5017545223236084},{"id":"https://openalex.org/C25580894","wikidata":"https://www.wikidata.org/wiki/Q1071058","display_name":"Scale-free network","level":3,"score":0.4754990041255951},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40839290618896484},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3216395378112793},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.11293822526931763},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2017.8258315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1509591","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1509591","pdf_url":"https://www.osti.gov/servlets/purl/1509591","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1509591","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1509591","pdf_url":"https://www.osti.gov/servlets/purl/1509591","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2784161997.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1482680420","https://openalex.org/W1519487792","https://openalex.org/W1999647190","https://openalex.org/W2008006577","https://openalex.org/W2008620264","https://openalex.org/W2046323177","https://openalex.org/W2065769502","https://openalex.org/W2111219324","https://openalex.org/W2112090702","https://openalex.org/W2112681514","https://openalex.org/W2115579680","https://openalex.org/W2129620481","https://openalex.org/W2136931666","https://openalex.org/W2157579446","https://openalex.org/W2293947850","https://openalex.org/W2500700795","https://openalex.org/W2613026820","https://openalex.org/W2617597089","https://openalex.org/W2964251804","https://openalex.org/W3004555699","https://openalex.org/W3103071483","https://openalex.org/W3143219376","https://openalex.org/W4301848509","https://openalex.org/W6630985932","https://openalex.org/W6677111876","https://openalex.org/W6737498555"],"related_works":["https://openalex.org/W3158371081","https://openalex.org/W2922108232","https://openalex.org/W1945989287","https://openalex.org/W2068932850","https://openalex.org/W2042042148","https://openalex.org/W2341322822","https://openalex.org/W1981257001","https://openalex.org/W2888811359","https://openalex.org/W2047039726","https://openalex.org/W2108741788"],"abstract_inverted_index":{"A":[0,71],"novel":[1],"parallel":[2,29],"algorithm":[3,48],"is":[4,19,49,75],"presented":[5,76],"for":[6,21],"generating":[7],"random":[8],"scale-free":[9,64,105],"networks":[10,65],"using":[11,66],"the":[12,42,50,57,67,79,85,91],"preferential-attachment":[13],"model.":[14,70],"The":[15],"algorithm,":[16],"named":[17],"cuPPA,":[18],"custom-designed":[20],"single":[22],"instruction":[23],"multiple":[24],"data":[25],"(SIMD)":[26],"style":[27],"of":[28,44,84,90,107],"processing":[30,38],"supported":[31],"by":[32],"modern":[33],"processors":[34],"such":[35],"as":[36],"graphical":[37],"units":[39],"(GPUs).":[40],"To":[41],"best":[43,92],"our":[45,47],"knowledge,":[46],"first":[51],"to":[52,62,77],"exploit":[53],"GPUs,":[54],"and":[55,81],"also":[56],"fastest":[58],"implementation":[59],"available":[60],"today,":[61],"generate":[63],"preferential":[68],"attachment":[69],"detailed":[72],"performance":[73],"study":[74],"understand":[78],"scalability":[80],"runtime":[82],"characteristics":[83],"cuPPA":[86,102],"algorithm.":[87],"In":[88],"one":[89],"cases,":[93],"when":[94],"executed":[95],"on":[96],"an":[97],"NVidia":[98],"GeForce":[99],"1080":[100],"GPU,":[101],"generates":[103],"a":[104],"network":[106],"two":[108],"billion":[109],"edges":[110],"in":[111],"less":[112],"than":[113],"3":[114],"seconds.":[115]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}