{"id":"https://openalex.org/W2071908395","doi":"https://doi.org/10.1145/1989493.1989548","title":"Tight bounds for anonymous adopt-commit objects","display_name":"Tight bounds for anonymous adopt-commit objects","publication_year":2011,"publication_date":"2011-06-04","ids":{"openalex":"https://openalex.org/W2071908395","doi":"https://doi.org/10.1145/1989493.1989548","mag":"2071908395"},"language":"en","primary_location":{"id":"doi:10.1145/1989493.1989548","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989493.1989548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the twenty-third annual ACM symposium on Parallelism in algorithms and architectures","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/A5036421091","display_name":"James Aspnes","orcid":"https://orcid.org/0000-0001-6188-1663"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"James Aspnes","raw_affiliation_strings":["Yale University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013813328","display_name":"Faith Ellen","orcid":"https://orcid.org/0000-0003-4473-931X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Faith Ellen","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada","University of Toronto, Toronto, On, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"University of Toronto, Toronto, On, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036421091"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":1.8271,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86091384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"317","last_page":"324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10772","display_name":"Distributed systems and fault tolerance","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10772","display_name":"Distributed systems and fault tolerance","score":0.9998999834060669,"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/T12288","display_name":"Optimization and Search Problems","score":0.9915000200271606,"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/T10237","display_name":"Cryptography and Data Security","score":0.9799000024795532,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/commit","display_name":"Commit","score":0.9655387997627258},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6903731822967529},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6053024530410767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5962426066398621},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.542169988155365},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5213402509689331},{"id":"https://openalex.org/keywords/binary-logarithm","display_name":"Binary logarithm","score":0.490759938955307},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4738338887691498},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42404603958129883},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4007493853569031},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30293840169906616},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12945416569709778},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10525479912757874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08272212743759155}],"concepts":[{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.9655387997627258},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6903731822967529},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6053024530410767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5962426066398621},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.542169988155365},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5213402509689331},{"id":"https://openalex.org/C63553672","wikidata":"https://www.wikidata.org/wiki/Q581168","display_name":"Binary logarithm","level":2,"score":0.490759938955307},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4738338887691498},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42404603958129883},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4007493853569031},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30293840169906616},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12945416569709778},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10525479912757874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08272212743759155},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1989493.1989548","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989493.1989548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the twenty-third annual ACM symposium on Parallelism in algorithms and architectures","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.224.5728","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.224.5728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.yale.edu/homes/aspnes/papers/spaa2011-adopt-commit-proceedings.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W13432113","https://openalex.org/W1572370356","https://openalex.org/W1948887950","https://openalex.org/W1981367703","https://openalex.org/W1982218385","https://openalex.org/W1984340066","https://openalex.org/W1988881980","https://openalex.org/W2005317574","https://openalex.org/W2029701567","https://openalex.org/W2034229945","https://openalex.org/W2042141409","https://openalex.org/W2049066374","https://openalex.org/W2073286344","https://openalex.org/W2073470450","https://openalex.org/W2093197865","https://openalex.org/W2101939036","https://openalex.org/W2146307966","https://openalex.org/W6668930859"],"related_works":["https://openalex.org/W4367365664","https://openalex.org/W4385326140","https://openalex.org/W4293227618","https://openalex.org/W2136634148","https://openalex.org/W3122851392","https://openalex.org/W3122800671","https://openalex.org/W4250708772","https://openalex.org/W4288862737","https://openalex.org/W1983915440","https://openalex.org/W3095925971"],"abstract_inverted_index":{"We":[0],"give":[1],"matching":[2],"upper":[3,36],"and":[4,16],"lower":[5,41],"bounds":[6],"of":[7,20,70],"\u0398(min(log":[8],"m/log":[9],"log":[10],"m,":[11],"n))":[12],"for":[13,30,44],"the":[14,35,40],"space":[15],"individual":[17],"step":[18],"complexity":[19],"a":[21,67],"wait-free":[22],"m-valued":[23],"adopt-commit":[24,46,57],"object":[25],"implemented":[26],"using":[27],"multi-writer":[28],"registers":[29],"n":[31],"anonymous":[32],"processes.":[33],"While":[34],"bound":[37,42],"is":[38],"deterministic,":[39],"holds":[43],"randomized":[45],"objects":[47,58,71],"as":[48],"well.":[49],"Our":[50],"results":[51],"are":[52,59],"based":[53],"on":[54],"showing":[55],"that":[56,72],"equivalent":[60],"up":[61],"to":[62,66],"small":[63],"additive":[64],"constants,":[65],"simpler":[68],"class":[69],"we":[73],"call":[74],"weak":[75],"conflict":[76],"detectors.":[77]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}