{"id":"https://openalex.org/W2124616298","doi":"https://doi.org/10.1109/date.2011.5763154","title":"Design of voltage-scalable meta-functions for approximate computing","display_name":"Design of voltage-scalable meta-functions for approximate computing","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2124616298","doi":"https://doi.org/10.1109/date.2011.5763154","mag":"2124616298"},"language":"en","primary_location":{"id":"doi:10.1109/date.2011.5763154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/date.2011.5763154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Design, Automation &amp; Test in Europe","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/A5108095124","display_name":"D. Mohapatra","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D Mohapatra","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, USA","[School of Electrical and Computer Engineering, Purdue University]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, USA","institution_ids":[]},{"raw_affiliation_string":"[School of Electrical and Computer Engineering, Purdue University]","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039111452","display_name":"Vinay K. Chippa","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V K Chippa","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, USA","[School of Electrical and Computer Engineering, Purdue University]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, USA","institution_ids":[]},{"raw_affiliation_string":"[School of Electrical and Computer Engineering, Purdue University]","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065766721","display_name":"Anand Raghunathan","orcid":"https://orcid.org/0000-0002-4624-564X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A Raghunathan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, USA","[School of Electrical and Computer Engineering, Purdue University]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, USA","institution_ids":[]},{"raw_affiliation_string":"[School of Electrical and Computer Engineering, Purdue University]","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031161187","display_name":"Kaushik Roy","orcid":"https://orcid.org/0009-0002-3375-2877"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K Roy","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, USA","[School of Electrical and Computer Engineering, Purdue University]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, USA","institution_ids":[]},{"raw_affiliation_string":"[School of Electrical and Computer Engineering, Purdue University]","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108095124"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":6.8888,"has_fulltext":false,"cited_by_count":208,"citation_normalized_percentile":{"value":0.97212531,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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/T10502","display_name":"Advanced Memory and Neural Computing","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/T10363","display_name":"Low-power high-performance VLSI 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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7747228741645813},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6182560920715332},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5151604413986206},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.5051808953285217},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.49916744232177734},{"id":"https://openalex.org/keywords/frequency-scaling","display_name":"Frequency scaling","score":0.4783346652984619},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.45288753509521484},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.4405096769332886},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.4366738796234131},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35310378670692444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3420955538749695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23001644015312195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7747228741645813},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6182560920715332},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5151604413986206},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.5051808953285217},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.49916744232177734},{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.4783346652984619},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.45288753509521484},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4405096769332886},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.4366738796234131},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35310378670692444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3420955538749695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23001644015312195},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/date.2011.5763154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/date.2011.5763154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Design, Automation &amp; Test in Europe","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1990173890","https://openalex.org/W2010468809","https://openalex.org/W2043318181","https://openalex.org/W2053323369","https://openalex.org/W2082568343","https://openalex.org/W2104644701","https://openalex.org/W2127218421","https://openalex.org/W2135100177","https://openalex.org/W2136103183","https://openalex.org/W2156909104","https://openalex.org/W3120740533","https://openalex.org/W3139678091","https://openalex.org/W3143002681","https://openalex.org/W4243164749","https://openalex.org/W6671038894","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W2144453115","https://openalex.org/W1967088250","https://openalex.org/W2128223750","https://openalex.org/W4238532390","https://openalex.org/W2188872161","https://openalex.org/W2002978035","https://openalex.org/W2961779879","https://openalex.org/W797688974"],"abstract_inverted_index":{"Approximate":[0],"computing":[1],"techniques":[2,51,87],"that":[3,28,37,109],"exploit":[4],"the":[5,68,110,159,162,166],"inherent":[6,40],"resilience":[7],"in":[8,34],"algorithms":[9],"through":[10],"mechanisms":[11],"such":[12],"as":[13],"voltage":[14,79],"over-scaling":[15],"(VOS)":[16],"have":[17],"gained":[18],"significant":[19,39],"interest.":[20],"In":[21],"this":[22],"work,":[23],"we":[24],"focus":[25],"on":[26,104],"meta-functions":[27,73,164],"represent":[29],"computational":[30],"kernels":[31],"commonly":[32],"found":[33],"application":[35,167],"domains":[36],"demonstrate":[38,108,158],"resilience,":[41],"namely":[42],"Multimedia,":[43],"Recognition":[44],"and":[45,58,92,150],"Data":[46],"Mining.":[47],"We":[48],"propose":[49],"design":[50,86],"(dynamic":[52],"segmentation":[53],"with":[54],"multi-cycle":[55],"error":[56,128],"compensation,":[57],"delay":[59],"budgeting":[60],"for":[61,140],"chained":[62],"data":[63],"path":[64],"components)":[65],"which":[66],"enable":[67],"hardware":[69],"implementations":[70,113],"of":[71,84,99,161],"these":[72,85],"to":[74,116,134,157],"scale":[75],"more":[76],"gracefully":[77],"under":[78,95],"over-scaling.":[80],"The":[81],"net":[82],"effect":[83],"is":[88],"improved":[89,163],"accuracy":[90],"(fewer":[91],"smaller":[93],"errors)":[94],"a":[96],"wide":[97],"range":[98],"over-scaled":[100],"voltages.":[101],"Results":[102],"based":[103,148,152],"extensive":[105],"transistor-level":[106],"simulations":[107,139],"optimized":[111],"meta-function":[112],"consume":[114],"up":[115],"30%":[117],"less":[118],"energy":[119],"at":[120,130,165],"iso-error":[121],"rates,":[122],"while":[123],"achieving":[124],"upto":[125],"27%":[126],"lower":[127],"rates":[129],"iso-energy":[131],"when":[132],"compared":[133],"their":[135],"baseline":[136],"counterparts.":[137],"System-level":[138],"three":[141],"applications,":[142],"motion":[143],"estimation,":[144],"support":[145],"vector":[146],"machine":[147],"classification":[149],"k-means":[151],"clustering":[153],"are":[154],"also":[155],"presented":[156],"impact":[160],"level.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
