{"id":"https://openalex.org/W2979774442","doi":"https://doi.org/10.1145/3357390.3361022","title":"Predicting all data race pairs for a specific schedule","display_name":"Predicting all data race pairs for a specific schedule","publication_year":2019,"publication_date":"2019-10-10","ids":{"openalex":"https://openalex.org/W2979774442","doi":"https://doi.org/10.1145/3357390.3361022","mag":"2979774442"},"language":"en","primary_location":{"id":"doi:10.1145/3357390.3361022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357390.3361022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes","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/A5035364564","display_name":"Martin Sulzmann","orcid":"https://orcid.org/0000-0002-8165-3403"},"institutions":[{"id":"https://openalex.org/I70886390","display_name":"Karlsruhe University of Applied Sciences","ror":"https://ror.org/01c0m1t63","country_code":"DE","type":"education","lineage":["https://openalex.org/I70886390"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Sulzmann","raw_affiliation_strings":["Karlsruhe University of Applied Sciences, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe University of Applied Sciences, Germany","institution_ids":["https://openalex.org/I70886390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032117711","display_name":"Kai Stadtm\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I70886390","display_name":"Karlsruhe University of Applied Sciences","ror":"https://ror.org/01c0m1t63","country_code":"DE","type":"education","lineage":["https://openalex.org/I70886390"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kai Stadtm\u00fcller","raw_affiliation_strings":["Karlsruhe University of Applied Sciences, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe University of Applied Sciences, Germany","institution_ids":["https://openalex.org/I70886390"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035364564"],"corresponding_institution_ids":["https://openalex.org/I70886390"],"apc_list":null,"apc_paid":null,"fwci":0.4815,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62014088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9980000257492065,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7468646764755249},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6817401647567749},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6294447779655457},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5738274455070496},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5104821920394897},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.45785224437713623},{"id":"https://openalex.org/keywords/race","display_name":"Race (biology)","score":0.45475542545318604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38729220628738403},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36166679859161377},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2827931046485901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2056049406528473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7468646764755249},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6817401647567749},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6294447779655457},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5738274455070496},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5104821920394897},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.45785224437713623},{"id":"https://openalex.org/C76509639","wikidata":"https://www.wikidata.org/wiki/Q918036","display_name":"Race (biology)","level":2,"score":0.45475542545318604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38729220628738403},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36166679859161377},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2827931046485901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2056049406528473},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3357390.3361022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357390.3361022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1652742168","https://openalex.org/W1971500760","https://openalex.org/W2025819261","https://openalex.org/W2061239425","https://openalex.org/W2072419942","https://openalex.org/W2089237839","https://openalex.org/W2120476011","https://openalex.org/W2121696621","https://openalex.org/W2144249474","https://openalex.org/W2164726441","https://openalex.org/W2166091242","https://openalex.org/W2606910946","https://openalex.org/W2799137521","https://openalex.org/W2887512784","https://openalex.org/W2898242299","https://openalex.org/W2951734910","https://openalex.org/W3009177928","https://openalex.org/W3012447579","https://openalex.org/W3091178001","https://openalex.org/W3137220996","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2492471733","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W4395679069","https://openalex.org/W3209204065","https://openalex.org/W3013012681","https://openalex.org/W2337668750","https://openalex.org/W2105707930","https://openalex.org/W1755711892"],"abstract_inverted_index":{"We":[0,32,89,107],"consider":[1],"the":[2,9,27,30,34,50,55,59,63,102,123,126,129,143],"problem":[3],"of":[4,22,29,42,70,101,125],"data":[5,86,104,118],"race":[6,48,87,105,119,157],"prediction":[7],"where":[8],"program's":[10],"behavior":[11],"is":[12,19,80],"represented":[13],"by":[14],"a":[15,20,47,91,109,156,159],"trace.":[16,56],"A":[17],"trace":[18],"sequence":[21],"program":[23,151],"events":[24,43],"recorded":[25],"during":[26],"execution":[28],"program.":[31],"employ":[33],"schedulable":[35,64,103],"happens-before":[36,61,65],"relation":[37],"to":[38,58,81,98,114,139],"characterize":[39],"all":[40,84,116,150],"pairs":[41],"that":[44,135,153],"are":[45,154],"in":[46,54,128,155],"for":[49,158],"schedule":[51],"as":[52],"manifested":[53],"Compared":[57],"classic":[60],"relation,":[62],"relations":[66],"properly":[67],"takes":[68],"care":[69],"write-read":[71],"dependencies":[72],"and":[73,131,148],"thus":[74],"avoids":[75],"false":[76],"positives.":[77],"The":[78],"challenge":[79],"efficiently":[82],"identify":[83],"(schedulable)":[85],"pairs.":[88,106,120],"present":[90],"refined":[92],"linear":[93],"time":[94,111],"vector":[95],"clock":[96],"algorithm":[97,113],"predict":[99,115],"many":[100],"introduce":[108],"quadratic":[110],"post-processing":[112],"remaining":[117],"This":[121],"improves":[122],"state":[124],"art":[127],"area":[130],"our":[132,136],"experiments":[133],"show":[134],"approach":[137],"scales":[138],"real-world":[140],"examples.":[141],"Thus,":[142],"user":[144],"can":[145],"systematically":[146],"examine":[147],"fix":[149],"locations":[152],"particular":[160],"schedule.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}