{"id":"https://openalex.org/W2033500158","doi":"https://doi.org/10.1145/2228360.2228476","title":"An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring","display_name":"An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring","publication_year":2012,"publication_date":"2012-05-31","ids":{"openalex":"https://openalex.org/W2033500158","doi":"https://doi.org/10.1145/2228360.2228476","mag":"2033500158"},"language":"en","primary_location":{"id":"doi:10.1145/2228360.2228476","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2228360.2228476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th 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/A5042251363","display_name":"Huapeng Zhou","orcid":null},"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":"Huapeng Zhou","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA","Carnegie Mellon University Pittsburgh, PA 15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353869","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-4510-2436"},"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":"Xin Li","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA","Carnegie Mellon University Pittsburgh, PA 15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015839075","display_name":"Chen-Yong Cher","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen-Yong Cher","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY","IBM, T.J. Watson Research Center, Yorktown Heights, NY 10598"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM, T.J. Watson Research Center, Yorktown Heights, NY 10598","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034278781","display_name":"Eren Kursun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eren Kursun","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY","IBM, T.J. Watson Research Center, Yorktown Heights, NY 10598"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM, T.J. Watson Research Center, Yorktown Heights, NY 10598","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066647898","display_name":"Haifeng Qian","orcid":"https://orcid.org/0000-0002-7189-6903"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haifeng Qian","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY","IBM, T.J. Watson Research Center, Yorktown Heights, NY 10598"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM, T.J. Watson Research Center, Yorktown Heights, NY 10598","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103408023","display_name":"Shi\u2010Chune Yao","orcid":null},"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":"Shi-Chune Yao","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA","Carnegie Mellon University Pittsburgh, PA 15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042251363"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.7476,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.85792867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"642","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.9998999834060669,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9995999932289124,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9993000030517578,"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/chip","display_name":"Chip","score":0.7088589072227478},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6993438005447388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.672823965549469},{"id":"https://openalex.org/keywords/microprocessor","display_name":"Microprocessor","score":0.6669852137565613},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.5323076248168945},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4520634412765503},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4240080714225769},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4234868884086609},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3794688880443573},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.35734784603118896},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19055524468421936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14821156859397888},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1345788538455963}],"concepts":[{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.7088589072227478},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6993438005447388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.672823965549469},{"id":"https://openalex.org/C2780728072","wikidata":"https://www.wikidata.org/wiki/Q5297","display_name":"Microprocessor","level":2,"score":0.6669852137565613},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.5323076248168945},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4520634412765503},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4240080714225769},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4234868884086609},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3794688880443573},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.35734784603118896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19055524468421936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14821156859397888},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1345788538455963},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2228360.2228476","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2228360.2228476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th Annual Design Automation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.307.4981","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.4981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.ece.cmu.edu/~xinli/papers/2012_DAC_thermal.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3251319959","display_name":null,"funder_award_id":"CCF-0915912","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2018652960","https://openalex.org/W2035224686","https://openalex.org/W2063237963","https://openalex.org/W2067183916","https://openalex.org/W2096439694","https://openalex.org/W2098228187","https://openalex.org/W2101020117","https://openalex.org/W2102727118","https://openalex.org/W2110939389","https://openalex.org/W2117648153","https://openalex.org/W2123853086","https://openalex.org/W2133761364","https://openalex.org/W2139019659","https://openalex.org/W2144282368","https://openalex.org/W2159918563","https://openalex.org/W2164085201","https://openalex.org/W2164332729","https://openalex.org/W2171762108","https://openalex.org/W2610857016","https://openalex.org/W4253995697"],"related_works":["https://openalex.org/W39373273","https://openalex.org/W2098026815","https://openalex.org/W2390545901","https://openalex.org/W2351709090","https://openalex.org/W2735012529","https://openalex.org/W2732121450","https://openalex.org/W1619273082","https://openalex.org/W1604566864","https://openalex.org/W4234690636","https://openalex.org/W2542412253"],"abstract_inverted_index":{"Full-chip":[0],"thermal":[1,57,110],"monitoring":[2,111],"is":[3,42],"an":[4,38],"important":[5],"and":[6,88],"challenging":[7],"issue":[8],"in":[9],"today's":[10],"microprocessor":[11],"design.":[12],"In":[13,70],"this":[14,36],"paper,":[15],"we":[16],"propose":[17],"a":[18,64],"new":[19],"information-theoretic":[20],"framework":[21],"to":[22,44,78],"quantitatively":[23],"model":[24],"the":[25,46,55,80,84,98],"uncertainty":[26],"of":[27,67,83],"on-chip":[28,68],"temperature":[29,51],"variation":[30],"by":[31,94],"differential":[32],"entropy.":[33],"Based":[34],"on":[35],"framework,":[37],"efficient":[39,73],"optimization":[40],"scheme":[41],"developed":[43],"find":[45],"optimal":[47],"spatial":[48],"locations":[49],"for":[50,108],"sensors":[52],"such":[53],"that":[54],"full-chip":[56,109],"map":[58],"can":[59],"be":[60,92],"accurately":[61],"captured":[62],"with":[63],"minimum":[65],"number":[66],"sensors.":[69],"addition,":[71],"several":[72],"numerical":[74],"algorithms":[75],"are":[76],"proposed":[77,85,99],"minimize":[79],"computational":[81],"cost":[82],"entropy":[86],"calculation":[87],"optimization.":[89],"As":[90],"will":[91],"demonstrated":[93],"our":[95],"experimental":[96],"examples,":[97],"entropy-based":[100],"method":[101],"achieves":[102],"superior":[103],"accuracy":[104],"(1.4x":[105],"error":[106],"reduction)":[107],"over":[112],"prior":[113],"art.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
