{"id":"https://openalex.org/W2037434835","doi":"https://doi.org/10.1109/hipc.2012.6507498","title":"Scalable performance of ScaleGraph for large scale graph analysis","display_name":"Scalable performance of ScaleGraph for large scale graph analysis","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2037434835","doi":"https://doi.org/10.1109/hipc.2012.6507498","mag":"2037434835"},"language":"en","primary_location":{"id":"doi:10.1109/hipc.2012.6507498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipc.2012.6507498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th International Conference on High Performance Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006043218","display_name":"Miyuru Dayarathna","orcid":"https://orcid.org/0000-0002-6884-7967"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miyuru Dayarathna","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024899385","display_name":"Charuwat Houngkaew","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Charuwat Houngkaew","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019565062","display_name":"Hidefumi Ogata","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidefumi Ogata","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011886931","display_name":"Toyotaro Suzumura","orcid":"https://orcid.org/0000-0001-6412-8386"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toyotaro Suzumura","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology, Japan","IBM Research Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"IBM Research Tokyo, Japan","institution_ids":["https://openalex.org/I4210145865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.9980000257492065,"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/scalability","display_name":"Scalability","score":0.8694106340408325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.820189356803894},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.6310431361198425},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6011614799499512},{"id":"https://openalex.org/keywords/degree-distribution","display_name":"Degree distribution","score":0.5949254631996155},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5643953084945679},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5328902006149292},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.5222569108009338},{"id":"https://openalex.org/keywords/kronecker-delta","display_name":"Kronecker delta","score":0.5095818042755127},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.4949747920036316},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.4614151418209076},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.45350363850593567},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4329386055469513},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41117554903030396},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.3167749345302582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13314583897590637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11569389700889587},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09113594889640808}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8694106340408325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.820189356803894},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.6310431361198425},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6011614799499512},{"id":"https://openalex.org/C87414783","wikidata":"https://www.wikidata.org/wiki/Q1002603","display_name":"Degree distribution","level":3,"score":0.5949254631996155},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5643953084945679},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5328902006149292},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.5222569108009338},{"id":"https://openalex.org/C39482219","wikidata":"https://www.wikidata.org/wiki/Q192826","display_name":"Kronecker delta","level":2,"score":0.5095818042755127},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.4949747920036316},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.4614151418209076},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.45350363850593567},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4329386055469513},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41117554903030396},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.3167749345302582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13314583897590637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11569389700889587},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09113594889640808},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hipc.2012.6507498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipc.2012.6507498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th International Conference on High Performance Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W94439627","https://openalex.org/W143174683","https://openalex.org/W229097380","https://openalex.org/W634116632","https://openalex.org/W1482680420","https://openalex.org/W1513185775","https://openalex.org/W1549998098","https://openalex.org/W1561299197","https://openalex.org/W1601726608","https://openalex.org/W1837653564","https://openalex.org/W1875112053","https://openalex.org/W1971937094","https://openalex.org/W1972595474","https://openalex.org/W1989704868","https://openalex.org/W1997324620","https://openalex.org/W2014325923","https://openalex.org/W2016743875","https://openalex.org/W2020268805","https://openalex.org/W2021685712","https://openalex.org/W2030749249","https://openalex.org/W2049545496","https://openalex.org/W2052037654","https://openalex.org/W2053738729","https://openalex.org/W2065292293","https://openalex.org/W2090409324","https://openalex.org/W2091924280","https://openalex.org/W2094458649","https://openalex.org/W2097717378","https://openalex.org/W2097822204","https://openalex.org/W2098903349","https://openalex.org/W2105524676","https://openalex.org/W2106553832","https://openalex.org/W2109065830","https://openalex.org/W2110942501","https://openalex.org/W2116616150","https://openalex.org/W2127048411","https://openalex.org/W2127959721","https://openalex.org/W2135496605","https://openalex.org/W2141380216","https://openalex.org/W2146591355","https://openalex.org/W2147824439","https://openalex.org/W2150611147","https://openalex.org/W2160720684","https://openalex.org/W2170616854","https://openalex.org/W2171707538","https://openalex.org/W2233456153","https://openalex.org/W2399032974","https://openalex.org/W2432978112","https://openalex.org/W2462763131","https://openalex.org/W3011591117","https://openalex.org/W4231150350","https://openalex.org/W4232836277","https://openalex.org/W4234246560","https://openalex.org/W4238452917","https://openalex.org/W4302771278","https://openalex.org/W6608852248","https://openalex.org/W6630637983","https://openalex.org/W6633475977","https://openalex.org/W6679023746","https://openalex.org/W6689265706"],"related_works":["https://openalex.org/W1569389315","https://openalex.org/W2503642292","https://openalex.org/W2354259715","https://openalex.org/W2281445447","https://openalex.org/W2516169518","https://openalex.org/W2900674702","https://openalex.org/W1568383421","https://openalex.org/W2134272598","https://openalex.org/W4226151735","https://openalex.org/W2773797126"],"abstract_inverted_index":{"Scalable":[0],"analysis":[1,25],"of":[2,31],"massive":[3],"graphs":[4],"has":[5],"become":[6],"a":[7,50,64],"challenging":[8],"issue":[9],"in":[10],"high":[11],"performance":[12],"computing":[13],"environments.":[14],"ScaleGraph":[15,32],"is":[16],"an":[17],"X10":[18],"library":[19,33],"aimed":[20],"for":[21,34],"large":[22],"scale":[23],"graph":[24,53],"scenarios.":[26],"This":[27],"paper":[28],"evaluates":[29],"scalability":[30,46],"degree":[35,73],"distribution":[36,74],"calculation,":[37],"betweeness":[38],"centrality,":[39],"and":[40,63],"spectral":[41],"clustering":[42],"algorithms.":[43],"We":[44],"make":[45],"evaluation":[47],"by":[48],"analyzing":[49],"synthetic":[51],"Kronecker":[52],"with":[54,68],"40.3":[55],"million":[56,70],"edges":[57,71],"(for":[58,72],"all":[59],"the":[60],"three":[61],"algorithms),":[62],"real":[65],"social":[66],"network":[67],"69":[69],"calculation)":[75],"on":[76],"Tsubame":[77],"2.0":[78],"distributed":[79],"memory":[80],"environment.":[81]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}