{"id":"https://openalex.org/W2902119826","doi":"https://doi.org/10.1109/icacci.2018.8554933","title":"High speed, Low power Approximate Multipliers","display_name":"High speed, Low power Approximate Multipliers","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902119826","doi":"https://doi.org/10.1109/icacci.2018.8554933","mag":"2902119826"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2018.8554933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5042315721","display_name":"Kamya R Varma","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kamya R Varma","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061066877","display_name":"Sonali Agrawal","orcid":"https://orcid.org/0000-0001-9830-8721"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sonali Agrawal","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042315721"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":1.1588,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.80317851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"785","last_page":"790"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.998199999332428,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/multiplier","display_name":"Multiplier (economics)","score":0.75230872631073},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.6620922684669495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4905909597873688},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.47276952862739563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4487442672252655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4364944398403168},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08229860663414001}],"concepts":[{"id":"https://openalex.org/C124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","level":2,"score":0.75230872631073},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.6620922684669495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4905909597873688},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.47276952862739563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4487442672252655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4364944398403168},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08229860663414001},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2018.8554933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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":17,"referenced_works":["https://openalex.org/W142224052","https://openalex.org/W1973319834","https://openalex.org/W2005865544","https://openalex.org/W2065359960","https://openalex.org/W2096588620","https://openalex.org/W2114837206","https://openalex.org/W2124651102","https://openalex.org/W2343131817","https://openalex.org/W2519246207","https://openalex.org/W2530976070","https://openalex.org/W2578985517","https://openalex.org/W4246795461","https://openalex.org/W6605833581","https://openalex.org/W6674212082","https://openalex.org/W6704264809","https://openalex.org/W6726646750","https://openalex.org/W6728295079"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4390550886","https://openalex.org/W3217463396","https://openalex.org/W2516396101","https://openalex.org/W2790557758","https://openalex.org/W3204929712","https://openalex.org/W4295102875","https://openalex.org/W2013839957","https://openalex.org/W3196607417","https://openalex.org/W4281295723"],"abstract_inverted_index":{"Adders":[0],"and":[1,13,34,46,63,93,136,143,185,203,205],"multipliers":[2,172],"form":[3],"the":[4,21,29,37,48,51,60,104,117,211,240],"significant":[5],"components":[6],"in":[7,84,167,239],"all":[8],"kind":[9],"of":[10,31,53,150,158,164],"digital":[11],"applications":[12],"has":[14],"always":[15,223],"been":[16],"a":[17,75,86,234],"thought-provoking":[18],"topic":[19],"for":[20,176,217],"researchers.":[22],"Multiplication":[23],"process":[24],"will":[25],"initially":[26],"find":[27],"out":[28],"set":[30],"partial":[32,38,55,105],"products":[33,39],"then":[35],"groups":[36],"according":[40],"to":[41,108,132,148,210,225,237],"their":[42],"respective":[43],"bit":[44],"positions":[45],"takes":[47,199],"summation.":[49],"Among":[50],"phases":[52],"multiplication,":[54],"product":[56,106],"reduction":[57],"tree":[58],"consumes":[59],"maximum":[61],"power":[62,228,232],"area":[64],"as":[65,192],"it":[66,221],"is":[67,82,90,94,222,233],"done":[68],"using":[69],"several":[70],"adders.":[71],"In":[72],"this":[73],"paper,":[74],"High":[76],"Speed,":[77],"Low":[78],"Power":[79,130,146],"Approximate":[80,119,133,159],"Multiplier":[81,120,134],"proposed":[83,118,196],"which":[85],"new":[87],"4-2":[88],"compressor":[89],"being":[91],"projected":[92],"made":[95],"use":[96,157,226],"while":[97],"performing":[98],"vector":[99],"merge":[100],"addition":[101],"after":[102],"transforming":[103],"terms":[107],"lead":[109],"varying":[110],"probability":[111],"terms.":[112],"Simulation":[113],"results":[114],"shows":[115],"that":[116,149],"achieved":[121],"3.19%":[122],"less":[123,126,129,138,141,145,200,227],"Area,":[124,139],"53.74%":[125],"Delay,":[127],"3.79%":[128],"compared":[131,147],"[6]":[135],"31%":[137],"81.35%":[140],"Delay":[142],"59.83%":[144],"an":[151],"Exact":[152],"Multiplier.":[153],"When":[154],"we":[155],"make":[156],"Multipliers,":[160],"there":[161],"are":[162,173],"likelihoods":[163],"error":[165],"occurring":[166],"some":[168],"cases.":[169],"Hence":[170,216],"approximate":[171,197,213],"suggested":[174],"only":[175],"Error":[177,218],"Resilient":[178],"applications.":[179,194],"Video":[180],"compression,":[181],"Digital":[182],"Image":[183],"processing":[184],"Test":[186],"Data":[187],"compression":[188],"can":[189,207],"be":[190,208],"categorized":[191],"such":[193],"The":[195],"multiplier":[198,214],"Power,":[201],"Area":[202],"Time":[204],"also":[206],"paralleled":[209],"existing":[212],"algorithms.":[215],"resilient":[219],"application,":[220],"sagacious":[224],"consuming":[229],"constituents":[230],"since":[231],"crucial":[235],"one":[236],"save":[238],"current":[241],"scenario.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}