{"id":"https://openalex.org/W4388662117","doi":"https://doi.org/10.1145/3581784.3607038","title":"Choosing the Best Parallelization and Implementation Styles for Graph Analytics Codes: Lessons Learned from 1106 Programs","display_name":"Choosing the Best Parallelization and Implementation Styles for Graph Analytics Codes: Lessons Learned from 1106 Programs","publication_year":2023,"publication_date":"2023-11-11","ids":{"openalex":"https://openalex.org/W4388662117","doi":"https://doi.org/10.1145/3581784.3607038"},"language":"en","primary_location":{"id":"doi:10.1145/3581784.3607038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581784.3607038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-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/A5103113399","display_name":"Yiqian Liu","orcid":"https://orcid.org/0009-0008-6264-3120"},"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":"Yiqian Liu","raw_affiliation_strings":["Texas State University, San Marcos, United States of America"],"affiliations":[{"raw_affiliation_string":"Texas State University, San Marcos, United States of America","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050225747","display_name":"Noushin Azami","orcid":"https://orcid.org/0009-0002-7771-6480"},"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":"Noushin Azami","raw_affiliation_strings":["Texas State University, San Marcos, United States of America"],"affiliations":[{"raw_affiliation_string":"Texas State University, San Marcos, United States of America","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093259847","display_name":"Avery VanAusdal","orcid":"https://orcid.org/0009-0009-4239-6123"},"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":"Avery Vanausdal","raw_affiliation_strings":["Texas State University, San Marcos, United States of America"],"affiliations":[{"raw_affiliation_string":"Texas State University, San Marcos, United States of America","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"last","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":false,"raw_author_name":"Martin Burtscher","raw_affiliation_strings":["Texas State University, San Marcos, United States of America"],"affiliations":[{"raw_affiliation_string":"Texas State University, San Marcos, United States of America","institution_ids":["https://openalex.org/I13511017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103113399"],"corresponding_institution_ids":["https://openalex.org/I13511017"],"apc_list":null,"apc_paid":null,"fwci":0.4776,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65932345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.9965999722480774,"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":0.839826226234436},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7614123821258545},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.6890349388122559},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6165839433670044},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5743390321731567},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5385192036628723},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4573405086994171},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4404509365558624},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3607313632965088},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.21143224835395813},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1206829845905304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.839826226234436},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7614123821258545},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.6890349388122559},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6165839433670044},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5743390321731567},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5385192036628723},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4573405086994171},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4404509365558624},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3607313632965088},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.21143224835395813},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1206829845905304}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581784.3607038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581784.3607038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7781062387","display_name":null,"funder_award_id":"1955367","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1974165977","https://openalex.org/W1975274780","https://openalex.org/W1979201594","https://openalex.org/W1997162567","https://openalex.org/W2021211271","https://openalex.org/W2029940394","https://openalex.org/W2035080386","https://openalex.org/W2057136263","https://openalex.org/W2064069308","https://openalex.org/W2070513719","https://openalex.org/W2072062729","https://openalex.org/W2094722168","https://openalex.org/W2107173440","https://openalex.org/W2107251158","https://openalex.org/W2109473404","https://openalex.org/W2113667851","https://openalex.org/W2124861237","https://openalex.org/W2134373412","https://openalex.org/W2134427337","https://openalex.org/W2144085134","https://openalex.org/W2159929259","https://openalex.org/W2260499435","https://openalex.org/W2399720366","https://openalex.org/W2474844316","https://openalex.org/W2502734103","https://openalex.org/W2513712380","https://openalex.org/W2718955078","https://openalex.org/W2909224093","https://openalex.org/W2999787421","https://openalex.org/W3034302216","https://openalex.org/W4232836277","https://openalex.org/W4283658523"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W2157978810","https://openalex.org/W2983282793","https://openalex.org/W3012895752"],"abstract_inverted_index":{"Graph":[0],"analytics":[1],"has":[2],"become":[3],"a":[4,129],"major":[5],"workload":[6],"in":[7,34,145],"recent":[8],"years.":[9],"The":[10,134],"underlying":[11],"core":[12],"algorithms":[13,28,50],"tend":[14],"to":[15,24],"be":[16,30,116],"irregular":[17],"and":[18,32,39,51,57,78,83,96,108,112],"data":[19],"dependent,":[20],"making":[21],"them":[22],"challenging":[23],"parallelize.":[25],"Yet,":[26],"these":[27],"can":[29,126,139],"implemented":[31],"parallelized":[33],"many":[35],"ways":[36,42],"for":[37,43],"CPUs":[38,98],"even":[40],"more":[41],"GPUs.":[44],"We":[45,118],"took":[46],"6":[47,141],"key":[48],"graph":[49],"created":[52],"hundreds":[53],"of":[54,61,63,66,137,143],"CUDA,":[55],"OpenMP,":[56],"parallel":[58],"C++":[59],"versions":[60],"each":[62],"them,":[64],"most":[65],"which":[67,76,106,113],"have":[68],"never":[69],"been":[70],"described":[71],"or":[72],"studied.":[73],"To":[74],"determine":[75],"parallelization":[77],"implementation":[79,124],"styles":[80,107,138],"work":[81],"well":[82,111],"under":[84],"what":[85],"circumstances,":[86],"we":[87],"evaluated":[88],"the":[89,122],"resulting":[90],"1106":[91],"programs":[92],"on":[93,132],"2":[94,97],"GPUs":[95],"using":[99],"5":[100],"input":[101],"graphs.":[102],"Our":[103],"results":[104],"show":[105],"combinations":[109,136],"perform":[110],"ones":[114],"should":[115],"avoided.":[117],"found":[119],"that":[120],"choosing":[121],"wrong":[123],"style":[125],"yield":[127],"over":[128],"10\u00d7":[130],"slowdown":[131],"average.":[133],"worst":[135],"cost":[140],"orders":[142],"magnitude":[144],"performance.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}