{"id":"https://openalex.org/W4220754604","doi":"https://doi.org/10.1145/3503221.3508403","title":"Scaling graph traversal to 281 trillion edges with 40 million cores","display_name":"Scaling graph traversal to 281 trillion edges with 40 million cores","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4220754604","doi":"https://doi.org/10.1145/3503221.3508403"},"language":"en","primary_location":{"id":"doi:10.1145/3503221.3508403","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503221.3508403","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3503221.3508403","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016089490","display_name":"Huanqi Cao","orcid":"https://orcid.org/0000-0002-3870-106X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huanqi Cao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101533666","display_name":"Yuanwei Wang","orcid":"https://orcid.org/0000-0003-4201-3654"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanwei Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735476","display_name":"Haojie Wang","orcid":"https://orcid.org/0000-0003-4605-148X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102031996","display_name":"Heng Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Lin","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046669647","display_name":"Zixuan Ma","orcid":"https://orcid.org/0000-0001-9630-7645"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Ma","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100523509","display_name":"Wanwang Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158984","display_name":"National Supercomputing Center in Wuxi","ror":"https://ror.org/04ypjrs34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210158984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanwang Yin","raw_affiliation_strings":["National Supercomputing Center in Wuxi, Wuxi, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"National Supercomputing Center in Wuxi, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I4210158984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103141832","display_name":"Wenguang Chen","orcid":"https://orcid.org/0000-0002-4281-1018"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenguang Chen","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5016089490"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.4148,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90130451,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"234","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":1.0,"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":1.0,"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":0.9977999925613403,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/graph-traversal","display_name":"Graph traversal","score":0.8260822296142578},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.7884799838066101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7151994705200195},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6677784323692322},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5927570462226868},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5616663694381714},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5054059028625488},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4641405940055847},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4463486075401306},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3280852735042572},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2738713026046753},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.19049710035324097},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14908653497695923},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1458623707294464}],"concepts":[{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.8260822296142578},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.7884799838066101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7151994705200195},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6677784323692322},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5927570462226868},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5616663694381714},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5054059028625488},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4641405940055847},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4463486075401306},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3280852735042572},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2738713026046753},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.19049710035324097},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14908653497695923},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1458623707294464},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503221.3508403","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503221.3508403","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3503221.3508403","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503221.3508403","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W57243869","https://openalex.org/W1482680420","https://openalex.org/W1902965424","https://openalex.org/W1992011279","https://openalex.org/W2000041758","https://openalex.org/W2068612205","https://openalex.org/W2081538566","https://openalex.org/W2092574257","https://openalex.org/W2119407198","https://openalex.org/W2130488390","https://openalex.org/W2141662114","https://openalex.org/W2154111453","https://openalex.org/W2475126267","https://openalex.org/W2558631043","https://openalex.org/W2568149362","https://openalex.org/W2619040869","https://openalex.org/W2718955078","https://openalex.org/W2730740223","https://openalex.org/W2898231337","https://openalex.org/W2962865652","https://openalex.org/W3169942475","https://openalex.org/W4235810972","https://openalex.org/W4253426709"],"related_works":["https://openalex.org/W244044452","https://openalex.org/W2724297872","https://openalex.org/W4367048702","https://openalex.org/W2362245205","https://openalex.org/W2041470524","https://openalex.org/W3029916054","https://openalex.org/W3094989083","https://openalex.org/W2738095401","https://openalex.org/W3083845687","https://openalex.org/W2401135561"],"abstract_inverted_index":{"Graph":[0],"processing,":[1],"especially":[2],"high-performance":[3],"graph":[4,49,68],"traversal,":[5],"plays":[6],"a":[7],"more":[8,10],"and":[9,30,64],"important":[11],"role":[12],"in":[13],"data":[14],"analytics.":[15],"The":[16],"successor":[17],"of":[18,42,44,67],"Sunway":[19],"TaihuLight,":[20],"New":[21],"Sunway,":[22],"is":[23],"equipped":[24],"with":[25,50],"nearly":[26],"10":[27],"PB":[28],"memory":[29],"over":[31],"40":[32],"million":[33],"cores,":[34],"which":[35],"brings":[36,55],"the":[37,48],"opportunity":[38],"to":[39],"process":[40],"hundreds":[41],"trillions":[43],"edges":[45],"graphs.":[46],"However,":[47],"an":[51],"unprecedented":[52],"scale":[53],"also":[54],"severe":[56],"performance":[57],"challenges,":[58],"including":[59],"load":[60],"imbalance,":[61],"poor":[62],"locality,":[63],"irregular":[65],"access":[66],"traversal":[69],"workload.":[70]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}