{"id":"https://openalex.org/W2055681363","doi":"https://doi.org/10.1109/ispass.2015.7095783","title":"Graph Processing Platforms at Scale: Practices and Experiences","display_name":"Graph Processing Platforms at Scale: Practices and Experiences","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W2055681363","doi":"https://doi.org/10.1109/ispass.2015.7095783","mag":"2055681363"},"language":"en","primary_location":{"id":"doi:10.1109/ispass.2015.7095783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2015.7095783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)","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/A5029824262","display_name":"Seung\u2013Hwan Lim","orcid":"https://orcid.org/0000-0001-9461-6866"},"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":"Seung-Hwan Lim","raw_affiliation_strings":["Computational Sciences and Engineering Division, Oak Ridge National Laboratory","Computational Sciences and Engineering Division Oak Ridge National Laboratory"],"affiliations":[{"raw_affiliation_string":"Computational Sciences and Engineering Division, Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]},{"raw_affiliation_string":"Computational Sciences and Engineering Division Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101595607","display_name":"Sangkeun Lee","orcid":"https://orcid.org/0000-0002-1317-5112"},"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":"Sangkeun Lee","raw_affiliation_strings":["Computational Sciences and Engineering Division, Oak Ridge National Laboratory","Computational Sciences and Engineering Division Oak Ridge National Laboratory"],"affiliations":[{"raw_affiliation_string":"Computational Sciences and Engineering Division, Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]},{"raw_affiliation_string":"Computational Sciences and Engineering Division Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112347507","display_name":"Gautam Ganesh","orcid":null},"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":"Gautam Ganesh","raw_affiliation_strings":["Computational Sciences and Engineering Division, Oak Ridge National Laboratory","Computational Sciences and Engineering Division Oak Ridge National Laboratory"],"affiliations":[{"raw_affiliation_string":"Computational Sciences and Engineering Division, Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]},{"raw_affiliation_string":"Computational Sciences and Engineering Division Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007792298","display_name":"Tyler C. Brown","orcid":"https://orcid.org/0000-0001-9543-8555"},"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":"Tyler C. Brown","raw_affiliation_strings":["Computational Sciences and Engineering Division, Oak Ridge National Laboratory","Computational Sciences and Engineering Division Oak Ridge National Laboratory"],"affiliations":[{"raw_affiliation_string":"Computational Sciences and Engineering Division, Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]},{"raw_affiliation_string":"Computational Sciences and Engineering Division Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079418386","display_name":"Sreenivas R. Sukumar","orcid":"https://orcid.org/0000-0003-4031-2888"},"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":"Sreenivas R. Sukumar","raw_affiliation_strings":["Computational Sciences and Engineering Division, Oak Ridge National Laboratory","Computational Sciences and Engineering Division Oak Ridge National Laboratory"],"affiliations":[{"raw_affiliation_string":"Computational Sciences and Engineering Division, Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]},{"raw_affiliation_string":"Computational Sciences and Engineering Division Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029824262"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":1.841,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90249908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.996999979019165,"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":0.992900013923645,"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/pagerank","display_name":"PageRank","score":0.8459590673446655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.783206582069397},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.636262834072113},{"id":"https://openalex.org/keywords/degree-distribution","display_name":"Degree distribution","score":0.54208904504776},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5221767425537109},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.48923349380493164},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.4802420437335968},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43982747197151184},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.41123300790786743},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3691709637641907},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3205551505088806},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.31387367844581604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2128399908542633},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11839205026626587}],"concepts":[{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.8459590673446655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.783206582069397},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.636262834072113},{"id":"https://openalex.org/C87414783","wikidata":"https://www.wikidata.org/wiki/Q1002603","display_name":"Degree distribution","level":3,"score":0.54208904504776},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5221767425537109},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.48923349380493164},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.4802420437335968},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43982747197151184},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.41123300790786743},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3691709637641907},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3205551505088806},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.31387367844581604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2128399908542633},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11839205026626587},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispass.2015.7095783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2015.7095783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W4909282","https://openalex.org/W22572007","https://openalex.org/W78077100","https://openalex.org/W631140850","https://openalex.org/W1492581097","https://openalex.org/W1510908550","https://openalex.org/W1549103420","https://openalex.org/W1568583643","https://openalex.org/W1812636409","https://openalex.org/W1831125142","https://openalex.org/W1975563293","https://openalex.org/W1976969221","https://openalex.org/W1982003698","https://openalex.org/W1984116073","https://openalex.org/W1993219230","https://openalex.org/W2008620264","https://openalex.org/W2026205964","https://openalex.org/W2036959307","https://openalex.org/W2045271686","https://openalex.org/W2052569240","https://openalex.org/W2053061798","https://openalex.org/W2062140606","https://openalex.org/W2068015060","https://openalex.org/W2080769514","https://openalex.org/W2081385143","https://openalex.org/W2085761620","https://openalex.org/W2087695939","https://openalex.org/W2092899897","https://openalex.org/W2114507260","https://openalex.org/W2130426318","https://openalex.org/W2131975293","https://openalex.org/W2132022337","https://openalex.org/W2133156458","https://openalex.org/W2150611147","https://openalex.org/W2151062909","https://openalex.org/W2160459668","https://openalex.org/W2167927436","https://openalex.org/W2170616854","https://openalex.org/W2170726034","https://openalex.org/W2173213060","https://openalex.org/W2219764230","https://openalex.org/W2244992438","https://openalex.org/W2340365916","https://openalex.org/W2620315948","https://openalex.org/W2967057359","https://openalex.org/W4285719527","https://openalex.org/W6600201224","https://openalex.org/W6600944653","https://openalex.org/W6603201521","https://openalex.org/W6633009311","https://openalex.org/W6657084543","https://openalex.org/W6679815717","https://openalex.org/W6685146747"],"related_works":["https://openalex.org/W2944759572","https://openalex.org/W1833629025","https://openalex.org/W2082867051","https://openalex.org/W2015363435","https://openalex.org/W2541484068","https://openalex.org/W1545569367","https://openalex.org/W2340973114","https://openalex.org/W2088554646","https://openalex.org/W2024447004","https://openalex.org/W2058532765"],"abstract_inverted_index":{"Graph":[0],"analysis":[1],"has":[2],"revealed":[3],"patterns":[4],"and":[5,23,33,46,75,89,105,147],"relationships":[6],"hidden":[7],"in":[8,30,84,133],"data":[9,85],"from":[10,54],"a":[11,37,80,119,161],"variety":[12,32],"of":[13,44,48,67,82,125,160],"domains":[14],"such":[15],"as":[16],"transportation":[17],"networks,":[18,20],"social":[19],"clinical":[21],"pathways,":[22],"collaboration":[24],"networks.":[25],"As":[26],"these":[27],"networks":[28],"grow":[29],"size,":[31],"complexity,":[34],"it":[35],"is":[36],"challenge":[38],"to":[39,50,156],"find":[40],"the":[41,55,131,158],"right":[42],"combination":[43,81],"tools":[45],"implementation":[47],"algorithms":[49],"discover":[51],"new":[52],"insights":[53],"data.":[56],"Addressing":[57],"this":[58,151],"challenge,":[59],"our":[60],"study":[61],"presents":[62],"an":[63],"extensive":[64],"empirical":[65],"evaluation":[66],"three":[68,96],"representative":[69],"graph":[70,98,115,126,135],"processing":[71,87,116],"platforms:":[72],"Pegasus,":[73],"GraphX,":[74],"Urika.":[76],"Each":[77],"system":[78],"represents":[79],"options":[83,155],"model,":[86],"paradigm,":[88],"infrastructure.":[90],"We":[91,149],"benchmark":[92],"each":[93,114,165],"platform":[94,117,166],"using":[95],"popular":[97],"mining":[99],"operations,":[100],"degree":[101,138],"distribution,":[102,139],"connected":[103,145],"components,":[104],"PageRank":[106],"over":[107],"real-world":[108],"graphs.":[109,171],"Our":[110],"experiments":[111],"show":[112],"that":[113],"owns":[118],"particular":[120],"strength":[121],"for":[122,167],"different":[123],"types":[124],"operations.":[127],"While":[128],"Urika":[129],"performs":[130],"best":[132],"non-iterative":[134],"operations":[136,143],"like":[137,144],"GraphX":[140],"outperforms":[141],"iterative":[142],"components":[146],"PageRank.":[148],"conclude":[150],"paper":[152],"by":[153],"discussing":[154],"optimize":[157],"performance":[159],"graph-theoretic":[162],"operation":[163],"on":[164],"large-scale":[168],"real":[169],"world":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}