{"id":"https://openalex.org/W1969979082","doi":"https://doi.org/10.1109/hpca.2015.7056065","title":"Studying the impact of multicore processor scaling on directory techniques via reuse distance analysis","display_name":"Studying the impact of multicore processor scaling on directory techniques via reuse distance analysis","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W1969979082","doi":"https://doi.org/10.1109/hpca.2015.7056065","mag":"1969979082"},"language":"en","primary_location":{"id":"doi:10.1109/hpca.2015.7056065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca.2015.7056065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","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/A5055699321","display_name":"Minshu Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Minshu Zhao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, College Park","Department of Electrical and Computer Engineering, University of Maryland at College Park"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland at College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042239243","display_name":"Donald Yeung","orcid":"https://orcid.org/0000-0003-0341-2644"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donald Yeung","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, College Park","Department of Electrical and Computer Engineering, University of Maryland at College Park"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland at College Park","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055699321"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.9895,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75628293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"590","last_page":"602"},"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":0.9991999864578247,"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":0.9980999827384949,"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":0.8544925451278687},{"id":"https://openalex.org/keywords/directory","display_name":"Directory","score":0.803959846496582},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.7455708384513855},{"id":"https://openalex.org/keywords/cache-algorithms","display_name":"Cache algorithms","score":0.6657198667526245},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.5941014885902405},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.580194354057312},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5691313147544861},{"id":"https://openalex.org/keywords/cache-invalidation","display_name":"Cache invalidation","score":0.5364841222763062},{"id":"https://openalex.org/keywords/smart-cache","display_name":"Smart Cache","score":0.524722158908844},{"id":"https://openalex.org/keywords/cache-pollution","display_name":"Cache pollution","score":0.4991743564605713},{"id":"https://openalex.org/keywords/cpu-cache","display_name":"CPU cache","score":0.49074968695640564},{"id":"https://openalex.org/keywords/cache-coloring","display_name":"Cache coloring","score":0.4623618721961975},{"id":"https://openalex.org/keywords/lightweight-directory-access-protocol","display_name":"Lightweight Directory Access Protocol","score":0.42464521527290344},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.4171460270881653},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.3672226667404175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8544925451278687},{"id":"https://openalex.org/C2777683733","wikidata":"https://www.wikidata.org/wiki/Q201456","display_name":"Directory","level":2,"score":0.803959846496582},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.7455708384513855},{"id":"https://openalex.org/C38556500","wikidata":"https://www.wikidata.org/wiki/Q13404475","display_name":"Cache algorithms","level":4,"score":0.6657198667526245},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.5941014885902405},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.580194354057312},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5691313147544861},{"id":"https://openalex.org/C25536678","wikidata":"https://www.wikidata.org/wiki/Q5015977","display_name":"Cache invalidation","level":5,"score":0.5364841222763062},{"id":"https://openalex.org/C167713795","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"Smart Cache","level":5,"score":0.524722158908844},{"id":"https://openalex.org/C113166858","wikidata":"https://www.wikidata.org/wiki/Q5015981","display_name":"Cache pollution","level":5,"score":0.4991743564605713},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.49074968695640564},{"id":"https://openalex.org/C201148951","wikidata":"https://www.wikidata.org/wiki/Q5015976","display_name":"Cache coloring","level":4,"score":0.4623618721961975},{"id":"https://openalex.org/C181177684","wikidata":"https://www.wikidata.org/wiki/Q188816","display_name":"Lightweight Directory Access Protocol","level":3,"score":0.42464521527290344},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.4171460270881653},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3672226667404175},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hpca.2015.7056065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca.2015.7056065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.698.2269","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.698.2269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://maggini.eng.umd.edu/pub/zhao-hpca15.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W21782772","https://openalex.org/W1574846734","https://openalex.org/W1598250351","https://openalex.org/W1844399225","https://openalex.org/W1965100924","https://openalex.org/W1981951650","https://openalex.org/W1984624033","https://openalex.org/W1997319712","https://openalex.org/W1999786966","https://openalex.org/W2016521571","https://openalex.org/W2016842024","https://openalex.org/W2020035025","https://openalex.org/W2028918287","https://openalex.org/W2032616619","https://openalex.org/W2037392144","https://openalex.org/W2081131254","https://openalex.org/W2081797870","https://openalex.org/W2097558053","https://openalex.org/W2114421447","https://openalex.org/W2134633067","https://openalex.org/W2137196255","https://openalex.org/W2139397536","https://openalex.org/W2140643961","https://openalex.org/W2140847726","https://openalex.org/W2143670137","https://openalex.org/W2145021036","https://openalex.org/W2151032144","https://openalex.org/W2152450729","https://openalex.org/W2159441376","https://openalex.org/W2164705534","https://openalex.org/W2166034599","https://openalex.org/W2169875292","https://openalex.org/W2535359146","https://openalex.org/W2587796955","https://openalex.org/W3148484433","https://openalex.org/W4238549726","https://openalex.org/W4239813889","https://openalex.org/W4243577185","https://openalex.org/W6600896573","https://openalex.org/W6638812295","https://openalex.org/W6658474791","https://openalex.org/W6680569787","https://openalex.org/W6793277613"],"related_works":["https://openalex.org/W2133489088","https://openalex.org/W2126408955","https://openalex.org/W2363769136","https://openalex.org/W2115222420","https://openalex.org/W2114386333","https://openalex.org/W2734782074","https://openalex.org/W2148571123","https://openalex.org/W2098406302","https://openalex.org/W2396934146","https://openalex.org/W2369103246"],"abstract_inverted_index":{"Researchers":[0],"have":[1],"proposed":[2],"numerous":[3],"directory":[4,75,125,164,190],"techniques":[5,136],"to":[6,27,32,58,64,72,110,162],"address":[7],"multicore":[8,60,114],"scalability":[9],"whose":[10],"behavior":[11],"depends":[12],"on":[13,117,206],"the":[14,34,46,74,86,118,156,163,178],"CPU's":[15],"particular":[16],"configuration,":[17],"e.g.":[18],"core":[19,93],"count":[20,94],"and":[21,89,95,107,192],"cache":[22,96,132,150,165,173,183,199],"size.":[23],"As":[24],"CPUs":[25],"continue":[26],"scale,":[28],"it":[29,109],"is":[30,40],"essential":[31],"explore":[33],"directory's":[35,87],"architecture":[36],"dependences.":[37],"However,":[38],"this":[39],"challenging":[41],"using":[42],"detailed":[43],"simulation":[44],"given":[45],"large":[47,182],"number":[48],"of":[49,85,158,198,203],"CPU":[50],"configurations":[51],"that":[52,124,137],"are":[53,195],"possible.":[54],"This":[55],"paper":[56],"proposes":[57],"use":[59],"reuse":[61],"distance":[62],"analysis":[63,84],"study":[65],"coherence":[66],"directories.":[67],"We":[68,99,153],"develop":[69],"a":[70,105],"framework":[71,103],"extract":[73],"access":[76,139,204],"stream":[77],"from":[78],"parallel":[79],"LRU":[80],"stacks,":[81],"enabling":[82],"rapid":[83],"accesses":[88,126],"contents":[90],"across":[91,130,171],"both":[92],"size":[97,133,151,174],"scaling.":[98],"also":[100,154],"implement":[101],"our":[102,188],"in":[104,201],"profiler,":[106],"apply":[108],"gain":[111],"insights":[112],"into":[113],"scaling's":[115],"impact":[116],"directory.":[119],"Our":[120],"profiling":[121],"results":[122],"show":[123,155],"reduce":[127],"by":[128,169],"3.5x":[129],"data":[131,172],"scaling,":[134,175],"suggesting":[135],"tradeoff":[138],"latency":[140],"for":[141],"reduced":[142,168],"capacity":[143],"or":[144],"conflicts":[145],"become":[146],"increasingly":[147],"effective":[148],"as":[149],"scales.":[152],"portion":[157],"on-chip":[159],"memory":[160],"devoted":[161],"can":[166],"be":[167],"53.3%":[170],"thus":[176],"lowering":[177],"over-provisioning":[179],"needed":[180],"at":[181],"sizes.":[184],"Finally,":[185],"we":[186],"validate":[187],"RD-based":[189],"analyses,":[191],"find":[193],"they":[194],"within":[196],"13%":[197],"simulations":[200],"terms":[202],"count,":[205],"average.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}