{"id":"https://openalex.org/W4253399515","doi":"https://doi.org/10.1109/iccad.2015.7372659","title":"Learning-based power modeling of system-level black-box IPs","display_name":"Learning-based power modeling of system-level black-box IPs","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W4253399515","doi":"https://doi.org/10.1109/iccad.2015.7372659"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2015.7372659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2015.7372659","pdf_url":null,"source":null,"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":"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/A5100363856","display_name":"Dong-Wook Lee","orcid":"https://orcid.org/0000-0002-0504-3590"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongwook Lee","raw_affiliation_strings":["University of Texas, Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101434813","display_name":"Taemin Kim","orcid":"https://orcid.org/0009-0002-9447-1024"},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Taemin Kim","raw_affiliation_strings":["Intel Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009775690","display_name":"Kyungtae Han","orcid":"https://orcid.org/0000-0001-8291-5025"},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kyungtae Han","raw_affiliation_strings":["Intel Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081186735","display_name":"Yatin Hoskote","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yatin Hoskote","raw_affiliation_strings":["Intel Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068885069","display_name":"Lizy K. John","orcid":"https://orcid.org/0000-0002-8747-5214"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lizy K. John","raw_affiliation_strings":["University of Texas, Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046024226","display_name":"Andreas Gerstlauer","orcid":"https://orcid.org/0000-0002-6748-2054"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Gerstlauer","raw_affiliation_strings":["University of Texas, Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8369,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86322782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"847","last_page":"853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design 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"}},"topics":[{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design 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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9994000196456909,"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/observability","display_name":"Observability","score":0.7681381702423096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7234773635864258},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7006554007530212},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.6644516587257385},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.553427517414093},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5048463940620422},{"id":"https://openalex.org/keywords/electronic-system-level-design-and-verification","display_name":"Electronic system-level design and verification","score":0.45679548382759094},{"id":"https://openalex.org/keywords/power-optimization","display_name":"Power optimization","score":0.43824347853660583},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.43419161438941956},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.43111470341682434},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4039277732372284},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3787200450897217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3705712556838989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3440972566604614},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3375422954559326},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.3106251657009125}],"concepts":[{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.7681381702423096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7234773635864258},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7006554007530212},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.6644516587257385},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.553427517414093},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5048463940620422},{"id":"https://openalex.org/C77495112","wikidata":"https://www.wikidata.org/wiki/Q5358436","display_name":"Electronic system-level design and verification","level":2,"score":0.45679548382759094},{"id":"https://openalex.org/C168292644","wikidata":"https://www.wikidata.org/wiki/Q10860336","display_name":"Power optimization","level":4,"score":0.43824347853660583},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.43419161438941956},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.43111470341682434},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4039277732372284},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3787200450897217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3705712556838989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3440972566604614},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3375422954559326},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.3106251657009125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad.2015.7372659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2015.7372659","pdf_url":null,"source":null,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1681065735","https://openalex.org/W1983989471","https://openalex.org/W2005861721","https://openalex.org/W2028600299","https://openalex.org/W2031662677","https://openalex.org/W2042678339","https://openalex.org/W2083022823","https://openalex.org/W2101234009","https://openalex.org/W2102584639","https://openalex.org/W2104773674","https://openalex.org/W2107386336","https://openalex.org/W2114132519","https://openalex.org/W2125018715","https://openalex.org/W2131756830","https://openalex.org/W2150422162","https://openalex.org/W2150752883","https://openalex.org/W2163881957","https://openalex.org/W2164244373","https://openalex.org/W4232880828","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2790192245","https://openalex.org/W2034700470","https://openalex.org/W2576551918","https://openalex.org/W2042762783","https://openalex.org/W2575436408","https://openalex.org/W4301508730","https://openalex.org/W2625290148","https://openalex.org/W1572417577","https://openalex.org/W2059569687","https://openalex.org/W2336368137"],"abstract_inverted_index":{"Virtual":[0],"platform":[1],"prototypes":[2],"are":[3,24],"widely":[4],"utilized":[5],"to":[6,26,75,88,109,123,136],"enable":[7,27],"early":[8],"system-level":[9,28],"design":[10,126],"space":[11],"exploration.":[12],"Accurate":[13],"power":[14,29,43,68,79,134,143],"models":[15,60,108,131],"for":[16,57],"hardware":[17,63],"components":[18],"at":[19],"high":[20],"levels":[21],"of":[22,37,61,104,119,139,151],"abstraction":[23],"needed":[25],"analysis":[30],"and":[31,47,85,113],"optimization.":[32],"However,":[33],"the":[34],"limited":[35],"observability":[36],"third":[38],"party":[39],"IPs":[40,64],"renders":[41],"traditional":[42],"modeling":[44],"methods":[45],"challenging":[46],"inaccurate.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,94],"present":[53],"a":[54,96,140],"novel":[55],"approach":[56,122],"extending":[58],"behavioral":[59],"black-box":[62],"with":[65],"an":[66,77],"accurate":[67],"estimate.":[69],"We":[70],"leverage":[71],"state-of-the-art-machine":[72],"learning":[73,99],"techniques":[74],"synthesize":[76],"abstract":[78],"model.":[80],"Our":[81],"model":[82],"uses":[83],"input":[84],"output":[86],"history":[87],"track":[89],"data-dependent":[90],"pipeline":[91],"behavior.":[92],"Furthermore,":[93],"introduce":[95],"specialized":[97],"ensemble":[98],"that":[100,129],"is":[101],"composed":[102],"out":[103],"individually":[105],"selected":[106],"cycle-by-cycle":[107],"reduce":[110],"overall":[111],"complexity":[112],"further":[114],"increase":[115],"estimation":[116,144],"accuracy.":[117],"Results":[118],"applying":[120],"our":[121,130],"various":[124],"industrial-strength":[125],"examples":[127],"shows":[128],"predict":[132],"average":[133],"consumption":[135],"within":[137],"3%":[138],"commercial":[141],"gate-level":[142],"tool,":[145],"all":[146],"while":[147],"running":[148],"several":[149],"orders":[150],"magnitude":[152],"faster.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
