{"id":"https://openalex.org/W2044905920","doi":"https://doi.org/10.1145/2744769.2744855","title":"Improving worst-case cache performance through selective bypassing and register-indexed cache","display_name":"Improving worst-case cache performance through selective bypassing and register-indexed cache","publication_year":2015,"publication_date":"2015-06-02","ids":{"openalex":"https://openalex.org/W2044905920","doi":"https://doi.org/10.1145/2744769.2744855","mag":"2044905920"},"language":"en","primary_location":{"id":"doi:10.1145/2744769.2744855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744769.2744855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Design Automation Conference","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/A5101537027","display_name":"M. Ismail","orcid":"https://orcid.org/0009-0002-7587-6958"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Ismail","raw_affiliation_strings":["Cornell University, Ithaca, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015460017","display_name":"Daniel Lo","orcid":"https://orcid.org/0009-0002-6504-9078"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Lo","raw_affiliation_strings":["Cornell University, Ithaca, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024329178","display_name":"G. Edward Suh","orcid":"https://orcid.org/0000-0001-6409-9888"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Edward Suh","raw_affiliation_strings":["Cornell University, Ithaca, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.07625216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10933","display_name":"Real-Time Systems Scheduling","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/T10933","display_name":"Real-Time Systems Scheduling","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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9979000091552734,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9919999837875366,"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":0.9028953909873962},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.8190373182296753},{"id":"https://openalex.org/keywords/worst-case-execution-time","display_name":"Worst-case execution time","score":0.6714953780174255},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6355803608894348},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4727925956249237},{"id":"https://openalex.org/keywords/cpu-cache","display_name":"CPU cache","score":0.4657388925552368},{"id":"https://openalex.org/keywords/cache-pollution","display_name":"Cache pollution","score":0.4509373605251312},{"id":"https://openalex.org/keywords/static-analysis","display_name":"Static analysis","score":0.43694862723350525},{"id":"https://openalex.org/keywords/cache-algorithms","display_name":"Cache algorithms","score":0.43258440494537354},{"id":"https://openalex.org/keywords/execution-time","display_name":"Execution time","score":0.34298211336135864},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14621126651763916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9028953909873962},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.8190373182296753},{"id":"https://openalex.org/C200130814","wikidata":"https://www.wikidata.org/wiki/Q362858","display_name":"Worst-case execution time","level":3,"score":0.6714953780174255},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6355803608894348},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4727925956249237},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.4657388925552368},{"id":"https://openalex.org/C113166858","wikidata":"https://www.wikidata.org/wiki/Q5015981","display_name":"Cache pollution","level":5,"score":0.4509373605251312},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.43694862723350525},{"id":"https://openalex.org/C38556500","wikidata":"https://www.wikidata.org/wiki/Q13404475","display_name":"Cache algorithms","level":4,"score":0.43258440494537354},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.34298211336135864},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14621126651763916},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2744769.2744855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744769.2744855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1440788071","display_name":null,"funder_award_id":"N00014-11-1-0110","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2721660574","display_name":null,"funder_award_id":"FA8750-11-2-0025","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1490174819","https://openalex.org/W1520511168","https://openalex.org/W1533929374","https://openalex.org/W1595437973","https://openalex.org/W1686420892","https://openalex.org/W1826276806","https://openalex.org/W1874478398","https://openalex.org/W2076285066","https://openalex.org/W2098147366","https://openalex.org/W2123470671","https://openalex.org/W2149052625","https://openalex.org/W2150400228","https://openalex.org/W2152367339","https://openalex.org/W2160291477","https://openalex.org/W2163234005","https://openalex.org/W2163529295","https://openalex.org/W2170641010","https://openalex.org/W3145162387","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2031173804","https://openalex.org/W3085471909","https://openalex.org/W2012518269","https://openalex.org/W2086718556","https://openalex.org/W2167303720","https://openalex.org/W2146079099","https://openalex.org/W1965891727","https://openalex.org/W1860107648","https://openalex.org/W1496086148","https://openalex.org/W57688818"],"abstract_inverted_index":{"Worst-case":[0],"execution":[1],"time":[2],"(WCET)":[3],"analysis":[4,76],"is":[5,50,59],"a":[6,44,82],"critical":[7],"part":[8],"of":[9,29,35,84,128],"designing":[10],"real-time":[11],"systems":[12],"that":[13,49,64,93],"require":[14],"strict":[15],"timing":[16],"guarantees.":[17],"Data":[18],"caches":[19,99,114],"have":[20],"traditionally":[21],"been":[22],"challenging":[23],"to":[24,32,52,55,80,117,130],"analyze":[25],"in":[26,86,98,115,126],"the":[27,33,62,87,107,133],"context":[28],"WCET":[30,104,127],"due":[31],"unpredictability":[34],"memory":[36,96],"access":[37],"patterns.":[38],"In":[39,89],"this":[40],"paper,":[41],"we":[42,91,110],"present":[43],"novel":[45],"register-indexed":[46],"cache":[47],"structure":[48],"designed":[51],"be":[53,69,78],"amenable":[54],"static":[56,135],"analysis.":[57,136],"This":[58],"based":[60],"on":[61,106],"idea":[63],"absolute":[65],"addresses":[66],"may":[67,77],"not":[68],"known,":[70],"but":[71],"by":[72],"using":[73],"relative":[74],"addresses,":[75],"able":[79],"guarantee":[81],"number":[83],"hits":[85],"cache.":[88],"addition,":[90],"observe":[92],"keeping":[94],"unpredictable":[95],"accesses":[97],"can":[100],"increase":[101],"or":[102],"decrease":[103],"depending":[105],"application.":[108],"Thus,":[109],"explore":[111],"selectively":[112],"bypassing":[113],"order":[116],"provide":[118],"lower":[119],"WCET.":[120],"Our":[121],"experimental":[122],"results":[123],"show":[124],"reductions":[125],"up":[129],"35%":[131],"over":[132],"state-of-the-art":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}