{"id":"https://openalex.org/W2256751779","doi":"https://doi.org/10.1587/elex.12.20150736","title":"Applying SVM to data bypass prediction in multi core last-level caches","display_name":"Applying SVM to data bypass prediction in multi core last-level caches","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2256751779","doi":"https://doi.org/10.1587/elex.12.20150736","mag":"2256751779"},"language":"en","primary_location":{"id":"doi:10.1587/elex.12.20150736","is_oa":true,"landing_page_url":"https://doi.org/10.1587/elex.12.20150736","pdf_url":"https://www.jstage.jst.go.jp/article/elex/12/22/12_12.20150736/_pdf","source":{"id":"https://openalex.org/S207433681","display_name":"IEICE Electronics Express","issn_l":"1349-2543","issn":["1349-2543","1349-9467"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Electronics Express","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/elex/12/22/12_12.20150736/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018089434","display_name":"Warisa Sritriratanarak","orcid":"https://orcid.org/0009-0003-9465-4709"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Warisa Sritriratanarak","raw_affiliation_strings":["Faculty of Engineering, Chulalongkorn University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Chulalongkorn University","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019117213","display_name":"Mongkol Ekpanyapong","orcid":"https://orcid.org/0000-0002-0192-6249"},"institutions":[{"id":"https://openalex.org/I38538140","display_name":"Asian Institute of Technology","ror":"https://ror.org/0403qcr87","country_code":"TH","type":"education","lineage":["https://openalex.org/I38538140"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Mongkol Ekpanyapong","raw_affiliation_strings":["Asian Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asian Institute of Technology","institution_ids":["https://openalex.org/I38538140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047981471","display_name":"Prabhas Chongstitvatana","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Prabhas Chongstitvatana","raw_affiliation_strings":["Faculty of Engineering, Chulalongkorn University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Chulalongkorn University","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3385,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6786421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":"22","first_page":"20150736","last_page":"20150736"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9995999932289124,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9976000189781189,"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/support-vector-machine","display_name":"Support vector machine","score":0.8760710954666138},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8049579858779907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7319544553756714},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6981035470962524},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5391358137130737},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3603459596633911},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3489609956741333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3284398317337036}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8760710954666138},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8049579858779907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319544553756714},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6981035470962524},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5391358137130737},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3603459596633911},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3489609956741333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3284398317337036},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/elex.12.20150736","is_oa":true,"landing_page_url":"https://doi.org/10.1587/elex.12.20150736","pdf_url":"https://www.jstage.jst.go.jp/article/elex/12/22/12_12.20150736/_pdf","source":{"id":"https://openalex.org/S207433681","display_name":"IEICE Electronics Express","issn_l":"1349-2543","issn":["1349-2543","1349-9467"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Electronics Express","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/elex.12.20150736","is_oa":true,"landing_page_url":"https://doi.org/10.1587/elex.12.20150736","pdf_url":"https://www.jstage.jst.go.jp/article/elex/12/22/12_12.20150736/_pdf","source":{"id":"https://openalex.org/S207433681","display_name":"IEICE Electronics Express","issn_l":"1349-2543","issn":["1349-2543","1349-9467"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Electronics Express","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321557","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2256751779.pdf","grobid_xml":"https://content.openalex.org/works/W2256751779.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1735814872","https://openalex.org/W1965644370","https://openalex.org/W2001066520","https://openalex.org/W2047447065","https://openalex.org/W2095642645","https://openalex.org/W2100901045","https://openalex.org/W2103742924","https://openalex.org/W2109432325","https://openalex.org/W2135639895","https://openalex.org/W2145021036","https://openalex.org/W2149412112","https://openalex.org/W2156064678","https://openalex.org/W4231459869"],"related_works":["https://openalex.org/W1542410906","https://openalex.org/W197049984","https://openalex.org/W1993191611","https://openalex.org/W2023938924","https://openalex.org/W2918840249","https://openalex.org/W1991859582","https://openalex.org/W2110053126","https://openalex.org/W2316512426","https://openalex.org/W2104702637","https://openalex.org/W2079303253"],"abstract_inverted_index":{"Bypassing":[0],"emerged":[1],"as":[2],"a":[3,46],"performance":[4,64],"improvement":[5],"method":[6,30],"for":[7],"shared":[8],"Last-Level":[9],"Caches":[10],"(LLC)":[11],"in":[12],"multicore":[13],"processors":[14],"where":[15],"large":[16],"data":[17,33,73],"portions":[18],"are":[19,56],"never":[20],"reused,":[21],"wasting":[22],"system":[23],"resources.":[24],"This":[25],"paper":[26],"proposes":[27],"an":[28,80],"alternative":[29],"to":[31,51,61,74],"predict":[32],"bypassing":[34],"using":[35],"Support":[36],"Vector":[37],"Machine":[38],"(SVM).":[39],"Based":[40],"on":[41],"access":[42],"traces":[43],"obtained":[44],"from":[45],"simulator,":[47],"SVM":[48,69],"is":[49],"trained":[50],"generate":[52],"bypass":[53],"models":[54],"which":[55,72],"integrated":[57],"into":[58],"the":[59],"simulator":[60],"quantify":[62],"LLC":[63,77],"improvements.":[65],"Results":[66],"show":[67],"that":[68],"can":[70],"classify":[71],"bypass,":[75],"improving":[76],"performance,":[78],"achieving":[79],"average":[81],"6.72%":[82],"miss":[83],"rate":[84],"decrease":[85],"across":[86],"SPLASH2":[87],"benchmark":[88],"combinations.":[89]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}