{"id":"https://openalex.org/W3119974715","doi":"https://doi.org/10.1145/3430509","title":"Optimization of Signal Processing Applications Using Parameterized Error Models for Approximate Adders","display_name":"Optimization of Signal Processing Applications Using Parameterized Error Models for Approximate Adders","publication_year":2021,"publication_date":"2021-01-11","ids":{"openalex":"https://openalex.org/W3119974715","doi":"https://doi.org/10.1145/3430509","mag":"3119974715"},"language":"en","primary_location":{"id":"doi:10.1145/3430509","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430509","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-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/A5032910701","display_name":"Celia Dharmaraj","orcid":"https://orcid.org/0000-0002-7272-2112"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Celia Dharmaraj","raw_affiliation_strings":["Indian Institute of Technology Madras, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056698254","display_name":"V. Vasudevan","orcid":"https://orcid.org/0000-0001-7039-3821"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinita Vasudevan","raw_affiliation_strings":["Indian Institute of Technology Madras, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009851991","display_name":"Nitin Chandrachoodan","orcid":"https://orcid.org/0000-0002-9258-7317"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nitin Chandrachoodan","raw_affiliation_strings":["Indian Institute of Technology Madras, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032910701"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.7019,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6815898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"20","issue":"2","first_page":"1","last_page":"25"},"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":1.0,"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":1.0,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9994999766349792,"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":0.9991000294685364,"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/adder","display_name":"Adder","score":0.9304696321487427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7874819040298462},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.7320661544799805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5490149259567261},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4494830369949341},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42598599195480347},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.41031479835510254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1878032386302948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11471506953239441},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08590909838676453}],"concepts":[{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.9304696321487427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7874819040298462},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.7320661544799805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5490149259567261},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4494830369949341},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42598599195480347},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.41031479835510254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1878032386302948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11471506953239441},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08590909838676453},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3430509","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430509","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W624148300","https://openalex.org/W1998824039","https://openalex.org/W2005652364","https://openalex.org/W2005865544","https://openalex.org/W2017819499","https://openalex.org/W2035378788","https://openalex.org/W2037139354","https://openalex.org/W2076536455","https://openalex.org/W2083156986","https://openalex.org/W2083342911","https://openalex.org/W2124616298","https://openalex.org/W2126044301","https://openalex.org/W2129394555","https://openalex.org/W2133649162","https://openalex.org/W2135089667","https://openalex.org/W2155458498","https://openalex.org/W2158980899","https://openalex.org/W2402093298","https://openalex.org/W2415881634","https://openalex.org/W2515531880","https://openalex.org/W2536582620","https://openalex.org/W2559306271","https://openalex.org/W2607159714","https://openalex.org/W2626550242","https://openalex.org/W2626784759","https://openalex.org/W2738060292","https://openalex.org/W2742536119","https://openalex.org/W2791192181","https://openalex.org/W2792027340","https://openalex.org/W2793383601","https://openalex.org/W2799132243","https://openalex.org/W2884983013","https://openalex.org/W2944671118","https://openalex.org/W2954240900","https://openalex.org/W4214626551","https://openalex.org/W4229655397"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W4390550886","https://openalex.org/W154868527","https://openalex.org/W4387072315","https://openalex.org/W2180861079","https://openalex.org/W2728376045","https://openalex.org/W2350552870","https://openalex.org/W2659933339","https://openalex.org/W3005025283","https://openalex.org/W2742825757"],"abstract_inverted_index":{"Approximate":[0],"circuit":[1],"design":[2],"has":[3],"gained":[4],"significance":[5],"in":[6,31,46,115,144,157],"recent":[7],"years":[8],"targeting":[9],"error-tolerant":[10],"applications.":[11],"In":[12,65],"the":[13,22,42,60,135,138,145,152,158,187],"literature,":[14],"there":[15],"have":[16],"been":[17],"several":[18],"attempts":[19],"at":[20,107],"optimizing":[21],"number":[23,153],"of":[24,27,83,105,122,137,148,154,173],"approximate":[25,29,74,123,155,174],"bits":[26,156],"each":[28],"adder":[30,139],"a":[32,35,116,119,163],"system":[33,117],"for":[34,72,86,170],"given":[36],"accuracy":[37],"constraint.":[38],"For":[39],"computational":[40],"efficiency,":[41],"error":[43,61,84,93,97,168],"models":[44,169,179],"used":[45],"these":[47,76,178],"routines":[48],"are":[49,110],"simple":[50],"expressions":[51],"obtained":[52],"using":[53],"regression":[54],"or":[55,59],"by":[56],"assuming":[57],"inputs":[58],"is":[62,190],"uniformly":[63],"distributed.":[64],"this":[66],"article,":[67],"we":[68],"first":[69],"demonstrate":[70,185],"that":[71,91,186],"many":[73],"adders,":[75],"assumptions":[77],"lead":[78],"to":[79,129,165],"an":[80,181],"inaccurate":[81],"prediction":[82],"statistics":[85],"multi-level":[87],"circuits.":[88],"We":[89,161,176],"show":[90],"mean":[92,95],"and":[94,151,184],"square":[96],"can":[98],"be":[99],"computed":[100,191],"accurately":[101],"if":[102],"static":[103],"probabilities":[104],"adders":[106],"all":[108],"stages":[109],"taken":[111],"into":[112,131],"account.":[113],"Therefore,":[114],"with":[118],"certain":[120],"type":[121],"adder,":[124],"any":[125],"optimization":[126,182],"framework":[127,183],"needs":[128],"take":[130],"account":[132],"not":[133],"just":[134],"functionality":[136,147],"but":[140],"also":[141],"its":[142,149],"position":[143],"circuit,":[146],"parents,":[150],"parent":[159],"blocks.":[160],"propose":[162],"method":[164],"derive":[166],"parameterized":[167],"various":[171],"types":[172],"adders.":[175],"incorporate":[177],"within":[180],"noise":[188],"power":[189],"accurately.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
