{"id":"https://openalex.org/W2170927924","doi":"https://doi.org/10.1145/1806596.1806617","title":"Finding low-utility data structures","display_name":"Finding low-utility data structures","publication_year":2010,"publication_date":"2010-06-05","ids":{"openalex":"https://openalex.org/W2170927924","doi":"https://doi.org/10.1145/1806596.1806617","mag":"2170927924"},"language":"en","primary_location":{"id":"doi:10.1145/1806596.1806617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1806596.1806617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation","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/A5101967307","display_name":"Guoqing Xu","orcid":"https://orcid.org/0000-0003-4737-2146"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guoqing Xu","raw_affiliation_strings":["Ohio State University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103897011","display_name":"Nick Mitchell","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nick Mitchell","raw_affiliation_strings":["IBM T. J. Watson Research Center, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026190550","display_name":"Matthew Arnold","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Arnold","raw_affiliation_strings":["IBM T. J. Watson Research Center, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039624297","display_name":"Atanas Rountev","orcid":"https://orcid.org/0000-0003-4556-4937"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atanas Rountev","raw_affiliation_strings":["Ohio State University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110753711","display_name":"Edith Schonberg","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edith Schonberg","raw_affiliation_strings":["IBM T. J. Watson Research Center, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019459794","display_name":"Gary Sevitsky","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary Sevitsky","raw_affiliation_strings":["IBM T. J. Watson Research Center, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101967307"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":9.3418,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":{"value":0.98289327,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"174","last_page":"186"},"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/T10126","display_name":"Logic, programming, and type systems","score":0.9987999796867371,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.8079087734222412},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.7840266227722168},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.5898748636245728},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5508180856704712},{"id":"https://openalex.org/keywords/optimizing-compiler","display_name":"Optimizing compiler","score":0.5465790629386902},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.517783522605896},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5164957046508789},{"id":"https://openalex.org/keywords/program-optimization","display_name":"Program optimization","score":0.5021896362304688},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4401552677154541},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.38440629839897156},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2000756561756134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8079087734222412},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.7840266227722168},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.5898748636245728},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5508180856704712},{"id":"https://openalex.org/C190902152","wikidata":"https://www.wikidata.org/wiki/Q1325106","display_name":"Optimizing compiler","level":3,"score":0.5465790629386902},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.517783522605896},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5164957046508789},{"id":"https://openalex.org/C139571649","wikidata":"https://www.wikidata.org/wiki/Q1156793","display_name":"Program optimization","level":3,"score":0.5021896362304688},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4401552677154541},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.38440629839897156},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2000756561756134}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1806596.1806617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1806596.1806617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.161.7870","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.7870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ohio-state.edu/~xug/papers/xu-pldi10a.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.207.5535","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.5535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ohio-state.edu/%7Exug/papers/xu-pldi10a.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.611.9337","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.611.9337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ohio-state.edu/~rountev/presto/pubs/pldi10-1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W303139982","https://openalex.org/W1510358061","https://openalex.org/W1575308494","https://openalex.org/W1576911972","https://openalex.org/W1598245396","https://openalex.org/W1984248430","https://openalex.org/W2000100269","https://openalex.org/W2000729922","https://openalex.org/W2005795572","https://openalex.org/W2012523719","https://openalex.org/W2026033845","https://openalex.org/W2037828446","https://openalex.org/W2069568053","https://openalex.org/W2079055089","https://openalex.org/W2098347737","https://openalex.org/W2098883184","https://openalex.org/W2101134669","https://openalex.org/W2101857770","https://openalex.org/W2102970979","https://openalex.org/W2105204977","https://openalex.org/W2107588378","https://openalex.org/W2108112890","https://openalex.org/W2116570626","https://openalex.org/W2129181700","https://openalex.org/W2129683568","https://openalex.org/W2131734025","https://openalex.org/W2133638476","https://openalex.org/W2133802223","https://openalex.org/W2135275954","https://openalex.org/W2135531618","https://openalex.org/W2137008041","https://openalex.org/W2144300381","https://openalex.org/W2144551802","https://openalex.org/W2144789413","https://openalex.org/W2148707178","https://openalex.org/W2154843497","https://openalex.org/W2157432684","https://openalex.org/W2160510992","https://openalex.org/W2162544703","https://openalex.org/W2166091242","https://openalex.org/W2295109848","https://openalex.org/W2295303622","https://openalex.org/W2295857493","https://openalex.org/W2544139045","https://openalex.org/W4248649658","https://openalex.org/W4250942327","https://openalex.org/W4251369193","https://openalex.org/W6610773549","https://openalex.org/W6683485974"],"related_works":["https://openalex.org/W2577630842","https://openalex.org/W2956382393","https://openalex.org/W2113798250","https://openalex.org/W1488300410","https://openalex.org/W4225492247","https://openalex.org/W2069117531","https://openalex.org/W4320560513","https://openalex.org/W2083681681","https://openalex.org/W1877657449","https://openalex.org/W2146865435"],"abstract_inverted_index":{"Many":[0],"opportunities":[1,28],"for":[2],"easy,":[3],"big-win,":[4],"program":[5],"optimizations":[6],"are":[7,75],"missed":[8,26],"by":[9],"compilers.":[10],"This":[11,83],"is":[12,95],"especially":[13],"true":[14],"in":[15],"highly":[16],"layered":[17],"Java":[18],"applications.":[19],"Often":[20],"at":[21,96],"the":[22,43,80,86,97],"heart":[23,98],"of":[24,62,77,92,99],"these":[25,71],"optimization":[27],"lie":[29],"computations":[30],"that,":[31],"with":[32,79],"great":[33],"expense,":[34],"produce":[35],"data":[36,93],"values":[37],"that":[38,74],"have":[39],"little":[40],"impact":[41],"on":[42],"program's":[44],"final":[45],"output.":[46],"Constructing":[47],"a":[48,58],"new":[49],"date":[50],"formatter":[51],"to":[52,67],"format":[53],"every":[54],"date,":[55],"or":[56],"populating":[57],"large":[59],"set":[60],"full":[61],"expensively":[63],"constructed":[64],"structures":[65,94],"only":[66],"check":[68],"its":[69],"size:":[70],"involve":[72],"costs":[73,88],"out":[76],"line":[78],"benefits":[81,91],"gained.":[82],"disparity":[84],"between":[85],"formation":[87],"and":[89],"accrued":[90],"much":[100],"runtime":[101],"bloat.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":14}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}