{"id":"https://openalex.org/W4235679005","doi":"https://doi.org/10.1109/isca.2012.6237019","title":"Scheduling heterogeneous multi-cores through performance impact estimation (PIE)","display_name":"Scheduling heterogeneous multi-cores through performance impact estimation (PIE)","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W4235679005","doi":"https://doi.org/10.1109/isca.2012.6237019"},"language":"en","primary_location":{"id":"doi:10.1109/isca.2012.6237019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isca.2012.6237019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 39th Annual International Symposium on Computer Architecture (ISCA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5108571312","display_name":"Kenzo Van Craeynest","orcid":null},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Kenzo Van Craeynest","raw_affiliation_strings":["Ghent University, Belgium","Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University, Belgium","institution_ids":["https://openalex.org/I2801227569"]},{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078825915","display_name":"Aamer Jaleel","orcid":"https://orcid.org/0000-0002-5709-2992"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aamer Jaleel","raw_affiliation_strings":["Intel Corporation, VSSAD, Hudson, MA, USA","VSSAD, Intel Corporation, Hudson, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, VSSAD, Hudson, MA, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"VSSAD, Intel Corporation, Hudson, MA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033119975","display_name":"Lieven Eeckhout","orcid":"https://orcid.org/0000-0001-8792-4473"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Lieven Eeckhout","raw_affiliation_strings":["Ghent University, Belgium","Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University, Belgium","institution_ids":["https://openalex.org/I2801227569"]},{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022294741","display_name":"P. Narvaez","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paolo Narvaez","raw_affiliation_strings":["Intel Corporation, VSSAD, Hudson, MA, USA","VSSAD, Intel Corporation, Hudson, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, VSSAD, Hudson, MA, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"VSSAD, Intel Corporation, Hudson, MA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024384625","display_name":"Joel Emer","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel Emer","raw_affiliation_strings":["Intel Corporation, VSSAD, Hudson, MA, USA","MIT, Cambridge, MA, USA","VSSAD, Intel Corporation, Hudson, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, VSSAD, Hudson, MA, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"VSSAD, Intel Corporation, Hudson, MA, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"224"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","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/T10829","display_name":"Interconnection Networks and Systems","score":0.9976999759674072,"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":0.841313362121582},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.8053687810897827},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.7105467319488525},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6273888945579529},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6184685826301575},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4876202642917633},{"id":"https://openalex.org/keywords/processor-scheduling","display_name":"Processor scheduling","score":0.4826424717903137},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4449997544288635},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3888806700706482},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.3221951723098755},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16149410605430603},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07028689980506897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.841313362121582},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.8053687810897827},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.7105467319488525},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6273888945579529},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6184685826301575},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4876202642917633},{"id":"https://openalex.org/C2984822820","wikidata":"https://www.wikidata.org/wiki/Q1123036","display_name":"Processor scheduling","level":3,"score":0.4826424717903137},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4449997544288635},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3888806700706482},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.3221951723098755},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16149410605430603},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07028689980506897},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isca.2012.6237019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isca.2012.6237019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 39th Annual International Symposium on Computer Architecture (ISCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1974809793","https://openalex.org/W1986491730","https://openalex.org/W2002671355","https://openalex.org/W2005838647","https://openalex.org/W2015189735","https://openalex.org/W2029577083","https://openalex.org/W2042556025","https://openalex.org/W2043593621","https://openalex.org/W2049668033","https://openalex.org/W2059807497","https://openalex.org/W2101865620","https://openalex.org/W2117169191","https://openalex.org/W2123608497","https://openalex.org/W2129381159","https://openalex.org/W2135270610","https://openalex.org/W2150196852","https://openalex.org/W2153841541","https://openalex.org/W2157920577","https://openalex.org/W2159025940","https://openalex.org/W2162082972","https://openalex.org/W2485549318","https://openalex.org/W4231496307","https://openalex.org/W4238816702","https://openalex.org/W4247264372","https://openalex.org/W4250692521","https://openalex.org/W6682819538","https://openalex.org/W7065102534"],"related_works":["https://openalex.org/W3010706721","https://openalex.org/W2059290792","https://openalex.org/W1971053635","https://openalex.org/W2020909302","https://openalex.org/W4311616277","https://openalex.org/W2613221718","https://openalex.org/W2080809038","https://openalex.org/W1980996541","https://openalex.org/W1991622115","https://openalex.org/W2170544909"],"abstract_inverted_index":{"Single-ISA":[0],"heterogeneous":[1,22],"multi-core":[2],"processors":[3],"are":[4],"typically":[5],"composed":[6],"of":[7,21,54,71,156],"small":[8,41],"(e.g.,":[9,15],"in-order)":[10],"power-efficient":[11],"cores":[12,42,61],"and":[13,108,112,133,148,163],"big":[14,60],"out-of-order)":[16],"high-performance":[17],"cores.":[18],"The":[19],"effectiveness":[20],"multi-cores":[23],"depends":[24],"on":[25,121],"how":[26],"well":[27],"a":[28,89,122,167],"scheduler":[29],"can":[30,43,149],"map":[31],"workloads":[32],"onto":[33],"the":[34,48,57,66,75,100,116,129],"most":[35],"appropriate":[36],"core":[37,124],"type.":[38,125],"In":[39],"general,":[40],"achieve":[44],"good":[45,63],"performance":[46,64,114,152],"if":[47,65,115],"workload":[49,67,117],"inherently":[50],"has":[51],"high":[52,69],"levels":[53,70],"ILP.":[55],"On":[56],"other":[58],"hand,":[59],"provide":[62,99],"exhibits":[68],"MLP":[72,107],"or":[73],"requires":[74,144],"ILP":[76,109],"to":[77,91,98,119],"be":[78],"extracted":[79],"dynamically.":[80],"This":[81],"paper":[82],"proposes":[83],"Performance":[84],"Impact":[85],"Estimation":[86],"(PIE)":[87],"as":[88],"mechanism":[90],"predict":[92],"which":[93],"workload-to-core":[94],"mapping":[95],"is":[96],"likely":[97],"best":[101],"performance.":[102],"PIE":[103,127,143],"collects":[104],"CPI":[105],"stack,":[106],"profile":[110],"information,":[111],"estimates":[113],"were":[118],"run":[120],"different":[123],"Dynamic":[126],"adjusts":[128],"scheduling":[130,161,169],"at":[131],"runtime":[132],"thereby":[134],"exploits":[135],"fine-grained":[136],"time-varying":[137],"execution":[138],"behavior.":[139],"We":[140],"show":[141],"that":[142],"limited":[145],"hardware":[146],"support":[147],"improve":[150],"system":[151],"by":[153,164],"an":[154],"average":[155],"5.5%":[157],"over":[158,166],"recent":[159],"state-of-the-art":[160],"proposals":[162],"8.7%":[165],"sampling-based":[168],"policy.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":24},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":8}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
