{"id":"https://openalex.org/W4413430246","doi":"https://doi.org/10.1145/3721145.3725753","title":"MG-\u03b1GCD: Accelerating Graph Community Detection on Multi-GPU Platforms","display_name":"MG-\u03b1GCD: Accelerating Graph Community Detection on Multi-GPU Platforms","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4413430246","doi":"https://doi.org/10.1145/3721145.3725753"},"language":"en","primary_location":{"id":"doi:10.1145/3721145.3725753","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721145.3725753","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3721145.3725753","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 39th ACM International Conference on Supercomputing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3721145.3725753","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101826024","display_name":"Shuai Yang","orcid":"https://orcid.org/0009-0004-5444-7104"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Yang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China and Institute of Software, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China and Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103068794","display_name":"Changyou Zhang","orcid":"https://orcid.org/0000-0003-4025-0736"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyou Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China and Institute of Software, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China and Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101826024"],"corresponding_institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20211857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1117","last_page":"1130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.743008017539978},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6411446332931519},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.513442873954773},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.4670364558696747},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.42449378967285156},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2594672441482544},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.21101120114326477},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.12271752953529358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743008017539978},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6411446332931519},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.513442873954773},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.4670364558696747},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.42449378967285156},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2594672441482544},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.21101120114326477},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.12271752953529358}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3721145.3725753","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721145.3725753","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3721145.3725753","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 39th ACM International Conference on Supercomputing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3721145.3725753","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721145.3725753","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3721145.3725753","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 39th ACM International Conference on Supercomputing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7427657852","display_name":null,"funder_award_id":"2023YFB3611303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413430246.pdf","grobid_xml":"https://content.openalex.org/works/W4413430246.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1480958225","https://openalex.org/W1567553843","https://openalex.org/W1692425423","https://openalex.org/W1989788024","https://openalex.org/W2000275030","https://openalex.org/W2035080386","https://openalex.org/W2095293504","https://openalex.org/W2122603314","https://openalex.org/W2131681506","https://openalex.org/W2217748804","https://openalex.org/W2527672088","https://openalex.org/W2554897051","https://openalex.org/W2558632230","https://openalex.org/W2612387305","https://openalex.org/W2732636439","https://openalex.org/W2768703673","https://openalex.org/W2886462128","https://openalex.org/W2903901007","https://openalex.org/W2926767350","https://openalex.org/W3000305333","https://openalex.org/W3047846981","https://openalex.org/W3099768174","https://openalex.org/W3101708369","https://openalex.org/W3104371926","https://openalex.org/W3124834154","https://openalex.org/W4220912491","https://openalex.org/W4282961330","https://openalex.org/W4318328351","https://openalex.org/W4381327256","https://openalex.org/W4387321090","https://openalex.org/W4394002934","https://openalex.org/W4399282121","https://openalex.org/W4399836897","https://openalex.org/W4403582504"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2370314112","https://openalex.org/W1912958759","https://openalex.org/W2005148983","https://openalex.org/W2792081825"],"abstract_inverted_index":{"Graph":[0],"community":[1,43,53,151],"detection":[2,44,54,152],"is":[3],"widely":[4],"applied":[5],"in":[6,105,190],"fields":[7],"such":[8],"as":[9],"genetic":[10],"engineering":[11],"and":[12,24,34,64,76,82,163,205,216,222],"social":[13],"network":[14],"analysis.As":[15],"the":[16,31,59,70,77,103,121,126,132,137,170],"scale":[17,41],"of":[18,37,125,139,172,201],"input":[19],"graphs":[20],"continues":[21],"to":[22,40,66,101,119,182],"grow":[23],"multi-GPU":[25,51,156],"platforms":[26,39],"become":[27,47],"increasingly":[28],"prevalent,":[29],"utilizing":[30],"storage":[32],"capacity":[33],"computational":[35],"power":[36],"these":[38,110,143],"graph":[42,52,133,150,197],"algorithms":[45],"has":[46],"more":[48],"feasible.However,":[49],"existing":[50,128,188],"methods":[55,189],"are":[56,112],"constrained":[57],"by":[58],"traditional":[60],"CPUdominated":[61],"communication":[62],"model,":[63],"fail":[65],"simultaneously":[67],"account":[68],"for":[69,155],"irregular":[71],"sparse":[72],"memory":[73,123,214],"access":[74],"patterns":[75],"latency":[78],"disparities":[79],"between":[80,220],"local":[81],"remote":[83,174],"communication.Consequently,":[84],"they":[85],"do":[86],"not":[87],"fully":[88],"exploit":[89],"modern":[90],"high-speed":[91],"GPU":[92,212],"interconnect":[93],"technologies.Furthermore,":[94],"while":[95,186],"current":[96],"solutions":[97,130],"propose":[98,146],"various":[99],"strategies":[100],"mitigate":[102],"decline":[104],"clustering":[106,117,191],"quality":[107],"during":[108],"parallelization,":[109],"approaches":[111],"often":[113],"inefficient":[114],"or":[115],"compromise":[116],"quality.Finally,":[118],"address":[120,142],"high":[122],"overhead":[124,171],"algorithms,":[127],"Multi-GPU":[129],"extend":[131],"size":[134],"limit":[135],"at":[136],"cost":[138],"reduced":[140],"performance.To":[141],"challenges,":[144],"we":[145],"MG-GCD,":[147],"a":[148,160,178,195,202,206],"novel":[149],"algorithm":[153,199],"designed":[154],"platforms.First,":[157],"MG-GCD":[158,176,193],"introduces":[159],"loading":[161],"balancing":[162],"latency-aware":[164],"computation-communication":[165],"pipeline":[166],"that":[167],"effectively":[168],"mitigates":[169],"highlatency":[173],"communication.Second,":[175],"incorporates":[177],"bidirectional":[179],"probing":[180],"heuristic":[181],"enhance":[183],"execution":[184],"efficiency":[185],"outperforming":[187],"quality.Lastly,":[192],"employs":[194],"two-phase":[196],"coarsening":[198],"consisting":[200],"symbolic":[203],"phase":[204],"numeric":[207],"phase,":[208],"which":[209],"significantly":[210],"reduces":[211],"peak":[213],"usage":[215],"minimizes":[217],"data":[218],"transfers":[219],"CPU":[221]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}