{"id":"https://openalex.org/W4281724796","doi":"https://doi.org/10.1145/3489048.3522654","title":"Memory Space Recycling","display_name":"Memory Space Recycling","publication_year":2022,"publication_date":"2022-06-02","ids":{"openalex":"https://openalex.org/W4281724796","doi":"https://doi.org/10.1145/3489048.3522654"},"language":"en","primary_location":{"id":"doi:10.1145/3489048.3522654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3489048.3522654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems","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/A5013480171","display_name":"Jihyun Ryoo","orcid":"https://orcid.org/0000-0002-9116-8452"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jihyun Ryoo","raw_affiliation_strings":["The Pennsylvania State University, State College, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007116603","display_name":"Mahmut Kandemir","orcid":"https://orcid.org/0000-0002-9940-9951"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmut Taylan Kandemir","raw_affiliation_strings":["The Pennsylvania State University, State College, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077359864","display_name":"Mustafa Karak\u00f6y","orcid":"https://orcid.org/0000-0001-7499-0834"},"institutions":[{"id":"https://openalex.org/I4210141511","display_name":"TUBITAK BILGEM","ror":"https://ror.org/057kvja37","country_code":"TR","type":"government","lineage":["https://openalex.org/I4210141511"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mustafa Karakoy","raw_affiliation_strings":["TUBITAK-BILGEM, Gebze, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TUBITAK-BILGEM, Gebze, Turkey","institution_ids":["https://openalex.org/I4210141511"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05967742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":1.0,"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":1.0,"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/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/T10829","display_name":"Interconnection Networks and Systems","score":0.9987999796867371,"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":0.8295645713806152},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.7385852932929993},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.6244127750396729},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.5439527034759521},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5377199053764343},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5370224118232727},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.5348749160766602},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5289841890335083},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.5152976512908936},{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.5055744647979736},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.47902005910873413},{"id":"https://openalex.org/keywords/data-access","display_name":"Data access","score":0.4631563723087311},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4550044536590576},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.442179411649704},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43775707483291626},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3654770255088806},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.22318091988563538},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18038129806518555}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8295645713806152},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.7385852932929993},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6244127750396729},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.5439527034759521},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5377199053764343},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5370224118232727},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.5348749160766602},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5289841890335083},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.5152976512908936},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.5055744647979736},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.47902005910873413},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.4631563723087311},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4550044536590576},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.442179411649704},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43775707483291626},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3654770255088806},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22318091988563538},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18038129806518555},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3489048.3522654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3489048.3522654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7561609702","display_name":null,"funder_award_id":"2119236, 2122155, 2028929, 1931531, 1763681","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2020217519","https://openalex.org/W2073855204","https://openalex.org/W2076759613","https://openalex.org/W2399535694","https://openalex.org/W3141620748","https://openalex.org/W4206010581","https://openalex.org/W4236363946"],"related_works":["https://openalex.org/W1976766385","https://openalex.org/W2125264433","https://openalex.org/W4237401226","https://openalex.org/W4236777984","https://openalex.org/W2112457107","https://openalex.org/W2159716314","https://openalex.org/W2244179743","https://openalex.org/W2293728877","https://openalex.org/W2106097839","https://openalex.org/W4200309432"],"abstract_inverted_index":{"Many":[0],"program":[1,69,82],"codes":[2],"from":[3],"different":[4],"application":[5,81],"domains":[6],"process":[7],"very":[8],"large":[9],"amounts":[10],"of":[11,35,43,64,78,120,137,168,175],"data,":[12],"making":[13],"their":[14],"data":[15,28,53,60,102,114,123],"locality/cache":[16],"memory":[17,87,105,140],"behavior":[18],"critical":[19],"for":[20,99],"high":[21],"performance.":[22],"Prior":[23],"work":[24],"has":[25,108],"addressed":[26],"the":[27,33,59,68,76,118,166,172,176,179,190],"locality":[29],"optimization":[30],"problem":[31],"in":[32,162,165,189],"context":[34],"both":[36],"single-core":[37],"and":[38,158,187],"multi-core":[39],"systems.":[40],"Another":[41],"dimension":[42],"optimization,":[44],"which":[45],"can":[46],"be":[47],"as":[48,51],"equally":[49],"important/beneficial":[50],"improving":[52],"access":[54],"pattern":[55],"is":[56,96],"to":[57,84,97,112],"reduce":[58,85],"volume":[61],"(total":[62],"number":[63],"addresses)":[65],"accessed":[66],"by":[67],"code.":[70],"In":[71],"this":[72,94],"work,":[73],"we":[74],"explore":[75],"idea":[77,92],"rewriting":[79],"an":[80],"code":[83],"its":[86],"space":[88,141],"footprint.":[89],"The":[90,144],"main":[91],"behind":[93],"approach":[95,151],"reuse/recycle,":[98],"a":[100,104,133],"given":[101],"element,":[103,115],"location":[106],"that":[107,117,148],"originally":[109],"been":[110],"assigned":[111],"another":[113],"provided":[116],"lifetimes":[119],"these":[121,163],"two":[122],"elements":[124],"do":[125],"not":[126],"overlap":[127],"with":[128],"each":[129],"other.":[130],"We":[131],"present":[132],"detailed":[134],"experimental":[135,145],"evaluation":[136],"our":[138,149],"proposed":[139,150],"recycling":[142],"strategy.":[143],"results":[146],"show":[147],"brings,":[152],"respectively,":[153],"33.2%,":[154],"48.6%,":[155],"46.5%,":[156],"31.8%,":[157],"27.9%":[159],"average":[160],"improvements":[161,181],"metrics,":[164],"case":[167],"single-threaded":[169],"applications.":[170],"With":[171],"multi-threaded":[173],"versions":[174],"same":[177,191],"applications,":[178],"achieved":[180],"are":[182],"39.5%,":[183],"55.5%,":[184],"53.4%,":[185],"26.2%,":[186],"22.2%,":[188],"order.":[192]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
