{"id":"https://openalex.org/W1969484739","doi":"https://doi.org/10.1145/2016604.2016607","title":"Efficient stack distance computation for priority replacement policies","display_name":"Efficient stack distance computation for priority replacement policies","publication_year":2011,"publication_date":"2011-05-03","ids":{"openalex":"https://openalex.org/W1969484739","doi":"https://doi.org/10.1145/2016604.2016607","mag":"1969484739"},"language":"en","primary_location":{"id":"doi:10.1145/2016604.2016607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2016604.2016607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Computing Frontiers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087688453","display_name":"Gianfranco Bilardi","orcid":"https://orcid.org/0000-0003-0303-8349"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianfranco Bilardi","raw_affiliation_strings":["Universit\u00e0 di Padova, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064949703","display_name":"Kattamuri Ekanadham","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":"Kattamuri Ekanadham","raw_affiliation_strings":["T.J. Watson Research Center, IBM, Yorktown Heights, NY","[T. J. Watson Research Center, IBM, Yorktown Heights, NY]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T.J. Watson Research Center, IBM, Yorktown Heights, NY","institution_ids":[]},{"raw_affiliation_string":"[T. J. Watson Research Center, IBM, Yorktown Heights, NY]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033773138","display_name":"Pratap Pattnaik","orcid":"https://orcid.org/0000-0002-0629-0024"},"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":"Pratap Pattnaik","raw_affiliation_strings":["T.J. Watson Research Center, IBM, Yorktown Heights, NY","[T. J. Watson Research Center, IBM, Yorktown Heights, NY]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T.J. Watson Research Center, IBM, Yorktown Heights, NY","institution_ids":[]},{"raw_affiliation_string":"[T. J. Watson Research Center, IBM, Yorktown Heights, NY]","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","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/T11181","display_name":"Advanced Data Storage Technologies","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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9993000030517578,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7818673849105835},{"id":"https://openalex.org/keywords/memory-hierarchy","display_name":"Memory hierarchy","score":0.7084820866584778},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6908510327339172},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.6375516653060913},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.6240456104278564},{"id":"https://openalex.org/keywords/stack","display_name":"Stack (abstract data type)","score":0.6180814504623413},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.5784872174263},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5545140504837036},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5022633075714111},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42585939168930054},{"id":"https://openalex.org/keywords/cpu-cache","display_name":"CPU cache","score":0.4219416379928589},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3738378882408142},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32978641986846924},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2811773419380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07506197690963745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818673849105835},{"id":"https://openalex.org/C2778100165","wikidata":"https://www.wikidata.org/wiki/Q1589327","display_name":"Memory hierarchy","level":3,"score":0.7084820866584778},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6908510327339172},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6375516653060913},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.6240456104278564},{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.6180814504623413},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.5784872174263},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5545140504837036},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5022633075714111},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42585939168930054},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.4219416379928589},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3738378882408142},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32978641986846924},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2811773419380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07506197690963745},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2016604.2016607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2016604.2016607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Computing Frontiers","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/2488988","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/2488988","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G8979007595","display_name":null,"funder_award_id":"STPD08JA32CPDA099949","funder_id":"https://openalex.org/F4320321966","funder_display_name":"Universit\u00e0 degli Studi di Padova"}],"funders":[{"id":"https://openalex.org/F4320321966","display_name":"Universit\u00e0 degli Studi di Padova","ror":"https://ror.org/00240q980"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1492601037","https://openalex.org/W1494930385","https://openalex.org/W1500117749","https://openalex.org/W1555915743","https://openalex.org/W1564514837","https://openalex.org/W1584049700","https://openalex.org/W1974872983","https://openalex.org/W1987225815","https://openalex.org/W1989725425","https://openalex.org/W2004690278","https://openalex.org/W2005961863","https://openalex.org/W2011717090","https://openalex.org/W2040342412","https://openalex.org/W2053153990","https://openalex.org/W2060983019","https://openalex.org/W2064910003","https://openalex.org/W2112482891","https://openalex.org/W2131806537","https://openalex.org/W2164705534","https://openalex.org/W2751601659","https://openalex.org/W2752885492","https://openalex.org/W2946046356","https://openalex.org/W3110546893","https://openalex.org/W4242149386","https://openalex.org/W4251280768","https://openalex.org/W6607023753","https://openalex.org/W6676870935","https://openalex.org/W7029321148"],"related_works":["https://openalex.org/W2167303720","https://openalex.org/W2497617944","https://openalex.org/W1563139915","https://openalex.org/W2109715593","https://openalex.org/W2061075966","https://openalex.org/W3147501184","https://openalex.org/W2268996566","https://openalex.org/W4256652509","https://openalex.org/W2140219379","https://openalex.org/W2129141857"],"abstract_inverted_index":{"The":[0,36],"concept":[1,37],"of":[2,10,24,76,101],"stack":[3],"distance,":[4],"applicable":[5],"to":[6,19,92],"the":[7,15,22,68,74,82,89,98,102,113],"important":[8],"class":[9],"inclusion":[11],"replacement":[12],"policies":[13],"for":[14,32,48,112],"memory":[16],"hierarchy,":[17],"enables":[18],"efficiently":[20],"compute":[21],"number":[23,75],"misses":[25],"incurred":[26],"on":[27],"a":[28,58],"given":[29],"address":[30],"trace,":[31],"all":[33],"cache":[34],"sizes.":[35],"was":[38],"introduced":[39],"by":[40],"Mattson,":[41],"Gecsei,":[42],"Sluts,":[43],"and":[44],"Traiger":[45],"(Evaluation":[46],"techniques":[47],"storage":[49],"hierarchies,":[50],"IBM":[51],"System":[52],"Journal,":[53],"(9)2:78-117,":[54],"1970),":[55],"together":[56],"with":[57],"Linear-Scan":[59],"algorithm,":[60],"which":[61],"takes":[62],"time":[63,90],"O(V)":[64],"per":[65,95],"access,":[66],"in":[67,97],"worst":[69],"case,":[70],"where":[71],"V":[72],"is":[73],"distinct":[77],"(virtual)":[78],"items":[79],"referenced":[80],"within":[81],"trace.":[83],"While":[84],"subsequent":[85],"work":[86],"has":[87],"lowered":[88],"bound":[91],"O(log":[93],"V)":[94],"access":[96],"special":[99],"case":[100],"Least":[103],"Recently":[104],"Used":[105],"policy,":[106],"no":[107],"improvements":[108],"have":[109],"been":[110],"obtained":[111],"general":[114],"case.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}