{"id":"https://openalex.org/W4245916113","doi":"https://doi.org/10.1109/iccad.2015.7372611","title":"TEI-Turbo: temperature effect inversion-aware turbo boost for finfet-based multi-core systems","display_name":"TEI-Turbo: temperature effect inversion-aware turbo boost for finfet-based multi-core systems","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W4245916113","doi":"https://doi.org/10.1109/iccad.2015.7372611"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2015.7372611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2015.7372611","pdf_url":null,"source":{"id":"https://openalex.org/S4363608324","display_name":"2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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/A5040373050","display_name":"Ermao Cai","orcid":"https://orcid.org/0000-0001-7323-0892"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ermao Cai","raw_affiliation_strings":["Electrical and Computer Engineering, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065985595","display_name":"Diana Marculescu","orcid":"https://orcid.org/0000-0002-5734-4221"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diana Marculescu","raw_affiliation_strings":["Electrical and Computer Engineering, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040373050"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.486,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.78888889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"500","last_page":"507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10361","display_name":"Silicon Carbide Semiconductor Technologies","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/turbo","display_name":"Turbo","score":0.779279351234436},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.6101252436637878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5926122665405273},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5111387372016907},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1531057357788086},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12048649787902832},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08297795057296753},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08024933934211731},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.06629648804664612}],"concepts":[{"id":"https://openalex.org/C2776240298","wikidata":"https://www.wikidata.org/wiki/Q1138513","display_name":"Turbo","level":2,"score":0.779279351234436},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.6101252436637878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5926122665405273},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5111387372016907},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1531057357788086},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12048649787902832},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08297795057296753},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08024933934211731},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.06629648804664612},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad.2015.7372611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2015.7372611","pdf_url":null,"source":{"id":"https://openalex.org/S4363608324","display_name":"2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8600000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1598283091","https://openalex.org/W1663973292","https://openalex.org/W1762129528","https://openalex.org/W1985018624","https://openalex.org/W2008818400","https://openalex.org/W2009873484","https://openalex.org/W2016652708","https://openalex.org/W2027177485","https://openalex.org/W2027829345","https://openalex.org/W2034062945","https://openalex.org/W2081379617","https://openalex.org/W2098216001","https://openalex.org/W2101360724","https://openalex.org/W2117299787","https://openalex.org/W2119643695","https://openalex.org/W2124579340","https://openalex.org/W2129960401","https://openalex.org/W2134707479","https://openalex.org/W2135021459","https://openalex.org/W2135407913","https://openalex.org/W2141391882","https://openalex.org/W2141721356","https://openalex.org/W2160079288","https://openalex.org/W2161776409","https://openalex.org/W2162082972","https://openalex.org/W2169875292","https://openalex.org/W2401610261","https://openalex.org/W2542833283","https://openalex.org/W2996833377","https://openalex.org/W3008756550","https://openalex.org/W4238184691","https://openalex.org/W4253684726","https://openalex.org/W6675438776","https://openalex.org/W6679756652","https://openalex.org/W6680972684","https://openalex.org/W6685330770"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2116478666","https://openalex.org/W2535923291","https://openalex.org/W2593195270","https://openalex.org/W2103764150","https://openalex.org/W2010424581","https://openalex.org/W2111465178","https://openalex.org/W2101836519","https://openalex.org/W2147600706"],"abstract_inverted_index":{"Energy":[0],"and":[1,20],"temperature":[2,58,66],"are":[3],"the":[4,38,127,150],"main":[5],"constraints":[6],"for":[7,41,88],"modern":[8],"high-performance":[9],"multi-core":[10,42,91],"systems.":[11,43,92],"To":[12],"save":[13],"power":[14,80,89,154],"or":[15],"increase":[16],"performance,":[17],"Dynamic":[18],"Voltage":[19],"Frequency":[21],"Scaling":[22],"(DVFS)":[23],"is":[24,50],"widely":[25],"applied":[26],"in":[27,59,106,126,170],"industry.":[28],"As":[29],"CMOS":[30],"technology":[31],"continues":[32],"scaling,":[33],"FinFET":[34,49],"has":[35],"recently":[36],"become":[37],"common":[39],"choice":[40],"In":[44,118],"contrast":[45],"with":[46],"planar":[47],"CMOS,":[48],"observed":[51],"to":[52,71],"have":[53],"lower":[54],"delay":[55],"under":[56,79,153],"higher":[57],"super-threshold":[60],"voltage":[61],"region,":[62],"an":[63,166],"effect":[64,67],"called":[65],"inversion":[68],"(TEI).":[69],"Due":[70],"this":[72,142],"effect,":[73],"performance":[74,86,152,175],"can":[75,103],"be":[76,104],"further":[77,119],"improved":[78],"constraints.":[81,155],"This":[82],"work":[83,143],"explores":[84],"TEI-aware":[85,111],"improvement":[87,102],"limited":[90],"Our":[93],"experimental":[94],"results":[95,157],"show":[96],"that":[97],"on":[98,136],"average":[99,167],"15.70%":[100],"throughput":[101],"achieved":[105],"steady":[107],"state":[108],"by":[109,161],"a":[110,115,145,163],"DVFS":[112],"policy":[113],"over":[114],"TEI-agnostic":[116],"one.":[117],"investigations,":[120],"we":[121],"observe":[122],"multiple":[123],"sweet":[124,138],"spots":[125],"operating":[128],"voltage/frequency":[129],"regions":[130],"resulting":[131,174],"from":[132,179],"TEI":[133],"effects.":[134],"Based":[135],"these":[137],"spot":[139],"operation":[140],"regimes,":[141],"introduces":[144],"fast":[146],"algorithm":[147],"which":[148],"determines":[149],"maximum":[151],"Experimental":[156],"confirm":[158],"its":[159],"effectiveness":[160],"exhibiting":[162],"speedup":[164],"of":[165,168],"45.9X":[169],"runtime":[171],"while":[172],"keeping":[173],"only":[176],"0.22%":[177],"away":[178],"existing":[180],"state-of-the-art":[181],"algorithms.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}