{"id":"https://openalex.org/W2903686141","doi":"https://doi.org/10.1145/3291525","title":"A High-Quality and Fast Maximal Independent Set Implementation for GPUs","display_name":"A High-Quality and Fast Maximal Independent Set Implementation for GPUs","publication_year":2018,"publication_date":"2018-06-30","ids":{"openalex":"https://openalex.org/W2903686141","doi":"https://doi.org/10.1145/3291525","mag":"2903686141"},"language":"en","primary_location":{"id":"doi:10.1145/3291525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3291525","pdf_url":null,"source":{"id":"https://openalex.org/S2483380313","display_name":"ACM Transactions on Parallel Computing","issn_l":"2329-4949","issn":["2329-4949","2329-4957"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Parallel Computing","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/A5103125276","display_name":"Martin Burtscher","orcid":"https://orcid.org/0000-0001-7717-3354"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Martin Burtscher","raw_affiliation_strings":["Department of Computer Science, Texas State University, San Marcos, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas State University, San Marcos, TX","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023511185","display_name":"Sindhu Devale","orcid":null},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sindhu Devale","raw_affiliation_strings":["Department of Computer Science, Texas State University, San Marcos, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas State University, San Marcos, TX","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036424743","display_name":"Sahar Azimi","orcid":null},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahar Azimi","raw_affiliation_strings":["Department of Computer Science, Texas State University, San Marcos, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas State University, San Marcos, TX","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012778318","display_name":"Jayadharini Jaiganesh","orcid":null},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayadharini Jaiganesh","raw_affiliation_strings":["Department of Computer Science, Texas State University, San Marcos, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas State University, San Marcos, TX","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041193363","display_name":"Evan Powers","orcid":null},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evan Powers","raw_affiliation_strings":["Department of Computer Science, Texas State University, San Marcos, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas State University, San Marcos, TX","institution_ids":["https://openalex.org/I13511017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103125276"],"corresponding_institution_ids":["https://openalex.org/I13511017"],"apc_list":null,"apc_paid":null,"fwci":0.6448,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.73464715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"5","issue":"2","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9990000128746033,"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/T10374","display_name":"Advanced Graph Theory Research","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7793434858322144},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7549934983253479},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.6329149603843689},{"id":"https://openalex.org/keywords/titan","display_name":"Titan (rocket family)","score":0.5385699272155762},{"id":"https://openalex.org/keywords/xeon","display_name":"Xeon","score":0.5206141471862793},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5145891904830933},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5109657049179077},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.5015745162963867},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.49277880787849426},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.45919808745384216},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45467883348464966},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4284517467021942},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4210960865020752},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3751608431339264},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25258100032806396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18326780200004578},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.11530455946922302},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10787588357925415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793434858322144},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7549934983253479},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.6329149603843689},{"id":"https://openalex.org/C50805821","wikidata":"https://www.wikidata.org/wiki/Q1136670","display_name":"Titan (rocket family)","level":2,"score":0.5385699272155762},{"id":"https://openalex.org/C145108525","wikidata":"https://www.wikidata.org/wiki/Q656154","display_name":"Xeon","level":2,"score":0.5206141471862793},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5145891904830933},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5109657049179077},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.5015745162963867},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.49277880787849426},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.45919808745384216},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45467883348464966},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4284517467021942},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4210960865020752},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3751608431339264},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25258100032806396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18326780200004578},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.11530455946922302},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10787588357925415},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3291525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3291525","pdf_url":null,"source":{"id":"https://openalex.org/S2483380313","display_name":"ACM Transactions on Parallel Computing","issn_l":"2329-4949","issn":["2329-4949","2329-4957"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Parallel Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.550000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4873934642","display_name":null,"funder_award_id":"1406304","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W207622524","https://openalex.org/W1559533846","https://openalex.org/W1666479227","https://openalex.org/W1984291654","https://openalex.org/W2021211271","https://openalex.org/W2045820439","https://openalex.org/W2071114738","https://openalex.org/W2071134069","https://openalex.org/W2094722168","https://openalex.org/W2100061495","https://openalex.org/W2112629511","https://openalex.org/W2119089575","https://openalex.org/W2134427337","https://openalex.org/W2135301926","https://openalex.org/W2151690061","https://openalex.org/W2289173650","https://openalex.org/W2477249138","https://openalex.org/W2513955757","https://openalex.org/W2523378841","https://openalex.org/W2612032746","https://openalex.org/W2914876264","https://openalex.org/W2962800229","https://openalex.org/W4236919333"],"related_works":["https://openalex.org/W2408545863","https://openalex.org/W643179351","https://openalex.org/W4399354997","https://openalex.org/W2740469715","https://openalex.org/W2905265805","https://openalex.org/W2162805293","https://openalex.org/W2013629274","https://openalex.org/W2064207836","https://openalex.org/W1507301366","https://openalex.org/W2229481179"],"abstract_inverted_index":{"Computing":[0],"a":[1,18,58,86],"maximal":[2,19,64,138,163],"independent":[3,20,65,139,164,189],"set":[4,21,43,66],"is":[5,91,107],"an":[6],"important":[7],"step":[8],"in":[9],"many":[10],"parallel":[11,112],"graph":[12],"algorithms.":[13],"This":[14],"article":[15],"introduces":[16],"ECL-MIS,":[17],"implementation":[22,47],"that":[23,141,166],"works":[24],"well":[25],"on":[26,73,100,104,120,130,149,168],"GPUs.":[27],"It":[28,61],"includes":[29],"key":[30],"optimizations":[31],"to":[32,144,152],"speed":[33],"up":[34,143],"computation,":[35],"reduce":[36],"the":[37,42,63,76,105,111,133,174,187],"memory":[38],"footprint,":[39],"and":[40,56,71,83,94,117,156],"increase":[41],"size.":[44],"Its":[45],"CUDA":[46],"requires":[48],"fewer":[49],"than":[50,110,173,183,186],"30":[51],"kernel":[52],"statements,":[53],"runs":[54],"asynchronously,":[55],"produces":[57,137],"deterministic":[59],"result.":[60],"outperforms":[62,126],"implementations":[67],"of":[68,75,80],"Pannotia,":[69],"CUSP,":[70],"IrGL":[72],"each":[74],"16":[77],"tested":[78],"graphs":[79],"various":[81],"types":[82],"sizes.":[84],"On":[85],"Titan":[87],"X":[88],"GPU,":[89],"ECL-MIS":[90,102,136,179],"between":[92],"3.9":[93],"100":[95],"times":[96],"faster":[97,109],"(11.5":[98],"times,":[99,129],"average).":[101],"running":[103,119],"GPU":[106,157],"also":[108],"CPU":[113,155],"codes":[114,161],"Ligra,":[115],"Ligra+,":[116],"PBBS":[118],"20":[121],"Xeon":[122],"cores,":[123],"which":[124],"it":[125],"by":[127],"4.1":[128],"average.":[131],"At":[132],"same":[134],"time,":[135],"sets":[140,165,180],"are":[142,181],"52%":[145],"larger":[146],"(over":[147],"10%,":[148],"average)":[150],"compared":[151],"these":[153,160],"preexisting":[154],"implementations.":[158],"Whereas":[159],"produce":[162],"are,":[167],"average,":[169],"about":[170],"15%":[171],"smaller":[172,185],"largest":[175],"possible":[176],"such":[177],"sets,":[178],"less":[182],"6%":[184],"maximum":[188],"sets.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
