{"id":"https://openalex.org/W4412038608","doi":"https://doi.org/10.1145/3719276.3725171","title":"AdaTP: Enhancing Temporal Prefetching with Adaptive Metadata Filtering","display_name":"AdaTP: Enhancing Temporal Prefetching with Adaptive Metadata Filtering","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4412038608","doi":"https://doi.org/10.1145/3719276.3725171"},"language":"en","primary_location":{"id":"doi:10.1145/3719276.3725171","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719276.3725171","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719276.3725171","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM International Conference on Computing Frontiers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3719276.3725171","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103119974","display_name":"Junliang Wu","orcid":"https://orcid.org/0009-0003-6118-3541"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junliang Wu","raw_affiliation_strings":["State Key Lab of Processors, Institute of Computing Technology, CAS, Beijing, China and University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Processors, Institute of Computing Technology, CAS, Beijing, China and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102866566","display_name":"Feng Xue","orcid":"https://orcid.org/0009-0005-3118-8477"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xue","raw_affiliation_strings":["State Key Lab of Processors, Institute of Computing Technology, CAS, Beijing, China and University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Processors, Institute of Computing Technology, CAS, Beijing, China and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101657448","display_name":"Fuxin Zhang","orcid":"https://orcid.org/0000-0003-0430-3669"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuxin Zhang","raw_affiliation_strings":["State Key Lab of Processors, Institute of Computing Technology, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Processors, Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103119974"],"corresponding_institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18330575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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/T11478","display_name":"Caching and Content Delivery","score":0.9994999766349792,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9988999962806702,"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/metadata","display_name":"Metadata","score":0.8081532716751099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8018882274627686},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33247846364974976},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20292481780052185}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.8081532716751099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018882274627686},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33247846364974976},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20292481780052185}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3719276.3725171","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719276.3725171","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719276.3725171","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM International Conference on Computing Frontiers","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3719276.3725171","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719276.3725171","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719276.3725171","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM International Conference on Computing Frontiers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4039563609","display_name":null,"funder_award_id":"XDB06","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412038608.pdf","grobid_xml":"https://content.openalex.org/works/W4412038608.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1985210871","https://openalex.org/W2024825632","https://openalex.org/W2039393702","https://openalex.org/W2051407019","https://openalex.org/W2102409597","https://openalex.org/W2109077597","https://openalex.org/W2154176977","https://openalex.org/W2160395504","https://openalex.org/W2171006257","https://openalex.org/W2234679013","https://openalex.org/W2329976284","https://openalex.org/W2930718998","https://openalex.org/W2943086984","https://openalex.org/W2949727479","https://openalex.org/W2979729542","https://openalex.org/W3043167609","https://openalex.org/W3134718172","https://openalex.org/W3136230959","https://openalex.org/W3144376511","https://openalex.org/W3147011727","https://openalex.org/W3203303453","https://openalex.org/W3205610680","https://openalex.org/W3205916498","https://openalex.org/W4214492038","https://openalex.org/W4239937081","https://openalex.org/W4241590855","https://openalex.org/W4247641071","https://openalex.org/W4307473701","https://openalex.org/W4308083579","https://openalex.org/W4308083829","https://openalex.org/W4389491905","https://openalex.org/W4391103886","https://openalex.org/W4399830188","https://openalex.org/W4401212168","https://openalex.org/W4401212189"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2058118494","https://openalex.org/W2392768766","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010"],"abstract_inverted_index":{"Temporal":[0],"prefetching":[1,58],"is":[2,144,156],"a":[3,97,163],"promising":[4],"technology":[5],"to":[6,81,138,150,167],"predict":[7],"the":[8,40,45,53,64,70,83,108,130],"memory":[9,13,173],"addresses":[10,20],"of":[11,17,39,47,111,124],"irregular":[12,172],"accesses.It":[14],"retains":[15],"correlations":[16,140,152],"cache":[18],"miss":[19],"in":[21,69,88,171,176],"metadata,":[22,84],"which":[23,85],"can":[24,59],"be":[25,60],"stored":[26],"either":[27],"on-chip":[28,34],"or":[29],"off-chip.Recent":[30],"advancements":[31],"have":[32],"favoured":[33],"metadata":[35,48,103,114,142],"storage":[36,49,143,155],"within":[37],"portions":[38],"last":[41,71],"level":[42,72],"cache,":[43],"making":[44],"optimization":[46],"effectiveness":[50],"crucial,":[51],"because":[52],"benefits":[54],"brought":[55],"by":[56,63,190],"temporal":[57,76,185],"easily":[61],"offset":[62],"reduced":[65],"capacity":[66],"for":[67],"data":[68,112],"cache.However,":[73],"current":[74],"state-of-the-art":[75,184],"prefetchers":[77],"employ":[78],"static":[79],"strategies":[80],"filter":[82],"often":[86],"results":[87],"suboptimal":[89],"performance":[90],"gains.In":[91],"this":[92],"study,":[93],"we":[94],"introduce":[95],"AdaTP,":[96],"novel":[98],"method":[99],"that":[100,160],"dynamically":[101],"adjusts":[102],"filtering":[104,117],"strategy":[105,118],"based":[106],"on":[107],"runtime":[109],"measurement":[110],"and":[113,121,146,179,182,188,192],"demands.This":[115],"adaptive":[116],"leverages":[119],"criticality":[120],"reuse":[122],"conditions":[123],"load":[125],"instructions.Specifically,":[126],"it":[127],"permits":[128],"only":[129],"most":[131],"critical":[132],"loads":[133,149],"with":[134],"repetitive":[135],"access":[136],"patterns":[137],"store":[139,151],"when":[141,153],"limited,":[145],"allows":[147],"all":[148],"sufficient":[154],"available.Our":[157],"evaluations":[158],"show":[159],"AdaTP":[161],"achieves":[162],"22.1%":[164],"speedup":[165],"compared":[166],"baseline":[168],"stride":[169],"prefetch":[170],"intensive":[174],"benchmarks":[175],"SPEC":[177,180],"CPU2006":[178],"CPU2017,":[181],"outperforms":[183],"prefetcher":[186],"Triage":[187],"Triangel":[189],"4.0%":[191],"6.5%":[193],"respectively.":[194]},"counts_by_year":[],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}