{"id":"https://openalex.org/W2590926957","doi":"https://doi.org/10.1109/tpds.2017.2672739","title":"An Adaptive Parallel Algorithm for Computing Connected Components","display_name":"An Adaptive Parallel Algorithm for Computing Connected Components","publication_year":2017,"publication_date":"2017-02-22","ids":{"openalex":"https://openalex.org/W2590926957","doi":"https://doi.org/10.1109/tpds.2017.2672739","mag":"2590926957"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2017.2672739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2017.2672739","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-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/A5102941841","display_name":"Chirag Jain","orcid":"https://orcid.org/0000-0001-7837-2128"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chirag Jain","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023547296","display_name":"Patrick Flick","orcid":"https://orcid.org/0000-0003-3343-2398"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Flick","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105460573","display_name":"Tony Pan","orcid":"https://orcid.org/0000-0001-7945-6534"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tony Pan","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086521826","display_name":"Oded Green","orcid":"https://orcid.org/0000-0003-3658-1233"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oded Green","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074347913","display_name":"Srinivas Aluru","orcid":"https://orcid.org/0000-0003-4279-469X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinivas Aluru","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":"https://orcid.org/0000-0003-4279-469X","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.7114,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88633704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"28","issue":"9","first_page":"2428","last_page":"2439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9993000030517578,"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":0.9993000030517578,"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/T11478","display_name":"Caching and Content Delivery","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.8519430756568909},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7125784158706665},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.6221538186073303},{"id":"https://openalex.org/keywords/parallel-algorithm","display_name":"Parallel algorithm","score":0.5330871939659119},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5080196857452393},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5055320262908936},{"id":"https://openalex.org/keywords/breadth-first-search","display_name":"Breadth-first search","score":0.4827384352684021},{"id":"https://openalex.org/keywords/load-balancing","display_name":"Load balancing (electrical power)","score":0.48069339990615845},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.47880443930625916},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.44940420985221863},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.42153996229171753},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4070891737937927},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34538960456848145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09953472018241882}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8519430756568909},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7125784158706665},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6221538186073303},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.5330871939659119},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5080196857452393},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5055320262908936},{"id":"https://openalex.org/C138843760","wikidata":"https://www.wikidata.org/wiki/Q325904","display_name":"Breadth-first search","level":2,"score":0.4827384352684021},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.48069339990615845},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.47880443930625916},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.44940420985221863},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.42153996229171753},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4070891737937927},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34538960456848145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09953472018241882},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2017.2672739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2017.2672739","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1683691965","display_name":"MRI: Acquisition of a HPC System for Data-Driven Discovery in Science and Engineering","funder_award_id":"1229081","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2766341901","display_name":"BIGDATA: Mid-Scale: DA: Collaborative Research: Genomes Galore - Core Techniques, Libraries, and Domain Specific Languages for High-Throughput DNA Sequencing","funder_award_id":"1416259","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309303","display_name":"Research Institute, Georgia Institute of Technology","ror":"https://ror.org/01zkghx44"},{"id":"https://openalex.org/F4320309321","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W78403084","https://openalex.org/W92301696","https://openalex.org/W379337736","https://openalex.org/W934261879","https://openalex.org/W1448681276","https://openalex.org/W1551663228","https://openalex.org/W1557692423","https://openalex.org/W1569498258","https://openalex.org/W1814023381","https://openalex.org/W1849362181","https://openalex.org/W1945708402","https://openalex.org/W1982633903","https://openalex.org/W1986603225","https://openalex.org/W1989741444","https://openalex.org/W2000042664","https://openalex.org/W2004350101","https://openalex.org/W2013081353","https://openalex.org/W2018481625","https://openalex.org/W2033837972","https://openalex.org/W2035080386","https://openalex.org/W2041391522","https://openalex.org/W2047345171","https://openalex.org/W2064737680","https://openalex.org/W2081538566","https://openalex.org/W2086825382","https://openalex.org/W2095498620","https://openalex.org/W2096544401","https://openalex.org/W2103953153","https://openalex.org/W2117495845","https://openalex.org/W2118810554","https://openalex.org/W2120925698","https://openalex.org/W2141380216","https://openalex.org/W2147418091","https://openalex.org/W2154111453","https://openalex.org/W2159591897","https://openalex.org/W2302703011","https://openalex.org/W2480409449","https://openalex.org/W2557391416","https://openalex.org/W3103362336","https://openalex.org/W3142588439","https://openalex.org/W6603201521","https://openalex.org/W6603233266","https://openalex.org/W6628546715","https://openalex.org/W6640836205"],"related_works":["https://openalex.org/W4229495955","https://openalex.org/W1562918010","https://openalex.org/W2146073828","https://openalex.org/W2049713017","https://openalex.org/W2115890011","https://openalex.org/W2250131350","https://openalex.org/W4302767918","https://openalex.org/W2011231227","https://openalex.org/W71033917","https://openalex.org/W4385831788"],"abstract_inverted_index":{"We":[0,20,35],"present":[1],"an":[2],"efficient":[3,77,144],"distributed":[4],"memory":[5],"parallel":[6,43,62,73],"algorithm":[7,46,100],"for":[8,54,78,147,168],"computing":[9,79,110],"connected":[10],"components":[11,82],"in":[12],"undirected":[13],"graphs":[14,122],"based":[15],"on":[16,48],"Shiloach-Vishkin's":[17],"PRAM":[18],"approach.":[19],"discuss":[21],"multiple":[22],"optimization":[23],"techniques":[24],"that":[25,38,61,97,139],"reduce":[26],"communication":[27],"volume":[28],"as":[29,31],"well":[30],"load-balance":[32],"the":[33,39,42,49,99,104,107,111,116,150,180],"algorithm.":[34],"also":[36],"note":[37],"efficiency":[40],"of":[41,86,106,149,158,165],"graph":[44,51,57,133,151,171],"connectivity":[45],"depends":[47],"underlying":[50],"topology.":[52],"Particularly":[53],"short":[55],"diameter":[56,81],"components,":[58],"we":[59,93,137,184],"observe":[60],"Breadth":[63],"First":[64],"Search":[65],"(BFS)":[66],"method":[67],"offers":[68],"better":[69],"performance.":[70],"However,":[71],"running":[72],"BFS":[74],"is":[75,143],"not":[76],"large":[80,84,121],"or":[83],"number":[85],"small":[87],"components.":[88],"To":[89],"address":[90],"this":[91],"challenge,":[92],"employ":[94],"a":[95,156,169],"heuristic":[96],"allows":[98],"to":[101,189],"quickly":[102],"predict":[103],"type":[105],"network":[108],"by":[109],"degree":[112],"distribution":[113],"and":[114,134,145],"follow":[115],"optimal":[117],"hybrid":[118,141],"route.":[119],"Using":[120],"with":[123,172],"diverse":[124],"topologies":[125],"from":[126],"domains":[127],"including":[128],"metagenomics,":[129],"web":[130],"crawl,":[131],"social":[132],"road":[135],"networks,":[136],"show":[138],"our":[140],"implementation":[142],"scalable":[146],"each":[148],"types.":[152],"Our":[153],"approach":[154],"achieves":[155],"runtime":[157],"215":[159],"seconds":[160],"using":[161],"32":[162],"K":[163],"cores":[164],"Cray":[166],"XC30":[167],"metagenomic":[170],"over":[173],"50":[174],"billion":[175],"edges.":[176],"When":[177],"compared":[178],"against":[179],"previous":[181],"state-of-the-art":[182],"method,":[183],"see":[185],"performance":[186],"improvements":[187],"up":[188],"24":[190],"\u00d7.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
