{"id":"https://openalex.org/W2798297846","doi":"https://doi.org/10.23919/date.2018.8342106","title":"PowerProbe: Run-time power modeling through automatic RTL instrumentation","display_name":"PowerProbe: Run-time power modeling through automatic RTL instrumentation","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2798297846","doi":"https://doi.org/10.23919/date.2018.8342106","mag":"2798297846"},"language":"en","primary_location":{"id":"doi:10.23919/date.2018.8342106","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","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/A5016373122","display_name":"Davide Zoni","orcid":"https://orcid.org/0000-0002-9951-062X"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Davide Zoni","raw_affiliation_strings":["Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016699842","display_name":"Luca Cremona","orcid":"https://orcid.org/0000-0001-6613-5846"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Cremona","raw_affiliation_strings":["Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052803987","display_name":"William Fornaciari","orcid":"https://orcid.org/0000-0001-8294-730X"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"William Fornaciari","raw_affiliation_strings":["Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016373122"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":1.284,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.777303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"743","last_page":"748"},"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/T10933","display_name":"Real-Time Systems Scheduling","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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9991999864578247,"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/leverage","display_name":"Leverage (statistics)","score":0.7458181977272034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7424062490463257},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6689491271972656},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5873367190361023},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5477166175842285},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4671682119369507},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4522278606891632},{"id":"https://openalex.org/keywords/power-demand","display_name":"Power demand","score":0.44924846291542053},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15013757348060608},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.1301766037940979}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7458181977272034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7424062490463257},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6689491271972656},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5873367190361023},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5477166175842285},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4671682119369507},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4522278606891632},{"id":"https://openalex.org/C2983317576","wikidata":"https://www.wikidata.org/wiki/Q1853339","display_name":"Power demand","level":4,"score":0.44924846291542053},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15013757348060608},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.1301766037940979},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/date.2018.8342106","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1048994","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8342106/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W200617998","https://openalex.org/W1490174819","https://openalex.org/W1967359646","https://openalex.org/W1974946867","https://openalex.org/W1981153984","https://openalex.org/W1985818188","https://openalex.org/W1986313317","https://openalex.org/W1990505905","https://openalex.org/W2006717065","https://openalex.org/W2039624814","https://openalex.org/W2070525241","https://openalex.org/W2072730350","https://openalex.org/W2080150023","https://openalex.org/W2083022823","https://openalex.org/W2148995488","https://openalex.org/W2170382128","https://openalex.org/W2346781127","https://openalex.org/W2402942890","https://openalex.org/W2548135057","https://openalex.org/W2580077518"],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W2847365777","https://openalex.org/W3128025644","https://openalex.org/W2355048207","https://openalex.org/W2952348651","https://openalex.org/W2750422482","https://openalex.org/W3125827053","https://openalex.org/W4390399609"],"abstract_inverted_index":{"Online":[0],"power":[1,33,44,73,81,90,122,130,159],"monitoring":[2,82],"represents":[3],"a":[4,31,49,79,89,134,158],"de-facto":[5],"solution":[6,47,101],"to":[7,29,39,58,108,140,164],"enable":[8],"energyand":[9],"power-aware":[10],"run-time":[11,43,80],"optimizations":[12],"for":[13,71],"current":[14],"and":[15,52,87,128,160,166],"future":[16],"computing":[17],"architectures.":[18],"Traditionally,":[19],"the":[20,24,41,59,93,97,113,121,126,129],"performance":[21,51,63,106,127],"counters":[22,64],"of":[23,61,96,115],"target":[25,98],"architecture":[26],"are":[27,67],"used":[28],"feed":[30],"software-based,":[32],"model":[34,91],"that":[35,84,118],"is":[36],"continuously":[37,119],"updated":[38],"deliver":[40],"required":[42],"estimates.":[45],"The":[46,100,143],"introduces":[48,77],"non-negligible":[50],"energy":[53],"overhead.":[54],"Moreover,":[55,112],"itis":[56],"limited":[57,163],"availability":[60],"such":[62],"that,":[65],"however,":[66],"not":[68,103],"primarily":[69],"intended":[70],"online":[72],"monitoring.":[74],"This":[75],"paper":[76],"PowerProbe,":[78],"methodology":[83],"automatically":[85],"extracts":[86],"implements":[88],"from":[92],"RTL":[94],"description":[95],"architecture.":[99],"does":[102],"leverage":[104],"any":[105],"counter":[107],"ensure":[109],"wide":[110],"applicability.":[111],"use":[114],"ad-hoc":[116],"hardware":[117],"updates":[120],"estimate":[123],"minimizes":[124],"both":[125],"overheads.":[131],"We":[132],"employ":[133],"fully":[135],"compliant":[136],"OpenRisc":[137],"1000":[138],"implementation":[139],"validate":[141],"PowerProbe.":[142],"results":[144],"highlight":[145],"an":[146],"average":[147],"prediction":[148],"error":[149],"within":[150],"9%":[151],"(standard":[152],"deviation":[153],"less":[154],"than":[155],"2%),":[156],"with":[157],"area":[161],"overheads":[162],"6.89%":[165],"4.71%,":[167],"respectively.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
