{"id":"https://openalex.org/W4385624928","doi":"https://doi.org/10.1109/newcas57931.2023.10198137","title":"Iterative pruning algorithm for efficient look-up table implementation of binary neural networks","display_name":"Iterative pruning algorithm for efficient look-up table implementation of binary neural networks","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4385624928","doi":"https://doi.org/10.1109/newcas57931.2023.10198137"},"language":"en","primary_location":{"id":"doi:10.1109/newcas57931.2023.10198137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas57931.2023.10198137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)","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/A5101231560","display_name":"Amirali Ebrahimi","orcid":null},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Amirali Ebrahimi","raw_affiliation_strings":["Polytechnique Montréal,Department of Electrical Engineering,Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montréal,Department of Electrical Engineering,Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092835393","display_name":"Vineeth Narayan Pullu","orcid":null},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vineeth Narayan Pullu","raw_affiliation_strings":["Polytechnique Montréal,Department of Electrical Engineering,Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montréal,Department of Electrical Engineering,Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032933923","display_name":"J. M. Pierre Langlois","orcid":"https://orcid.org/0000-0003-1721-2520"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J.M. Pierre Langlois","raw_affiliation_strings":["Polytechnique Montréal,Department of Computer and Software Engineering,Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montréal,Department of Computer and Software Engineering,Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067086966","display_name":"Jean\u2010Pierre David","orcid":"https://orcid.org/0000-0002-7707-0483"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jean-Pierre David","raw_affiliation_strings":["Polytechnique Montréal,Department of Electrical Engineering,Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montréal,Department of Electrical Engineering,Canada","institution_ids":["https://openalex.org/I45683168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101231560"],"corresponding_institution_ids":["https://openalex.org/I45683168"],"apc_list":null,"apc_paid":null,"fwci":0.3644,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59448582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9977999925613403,"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/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8083814382553101},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7937908172607422},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.773184061050415},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.6220391988754272},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.595563530921936},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5948482155799866},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.541632354259491},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.47221165895462036},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4558587670326233},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.43461453914642334},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.42663419246673584},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42357003688812256},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3552895784378052},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.23279744386672974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12555694580078125},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.10220801830291748},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08987307548522949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.07104703783988953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083814382553101},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7937908172607422},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.773184061050415},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.6220391988754272},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.595563530921936},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5948482155799866},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.541632354259491},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.47221165895462036},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4558587670326233},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.43461453914642334},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.42663419246673584},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42357003688812256},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3552895784378052},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.23279744386672974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12555694580078125},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.10220801830291748},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08987307548522949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.07104703783988953},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/newcas57931.2023.10198137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas57931.2023.10198137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.polymtl.ca:54628","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/54628/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1902934009","https://openalex.org/W2242818861","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2565125333","https://openalex.org/W2604700561","https://openalex.org/W2618530766","https://openalex.org/W2753301142","https://openalex.org/W2776940252","https://openalex.org/W2951537853","https://openalex.org/W2963427045","https://openalex.org/W2963674932","https://openalex.org/W2964233199","https://openalex.org/W3006266031","https://openalex.org/W3008515144","https://openalex.org/W3011509423","https://openalex.org/W3093982621","https://openalex.org/W3104395752","https://openalex.org/W3130641740","https://openalex.org/W3166559827","https://openalex.org/W3207127735","https://openalex.org/W4200506235","https://openalex.org/W4206178944","https://openalex.org/W4289744896","https://openalex.org/W4311007713"],"related_works":["https://openalex.org/W2798215405","https://openalex.org/W2990962948","https://openalex.org/W2117300767","https://openalex.org/W2024574431","https://openalex.org/W2374017528","https://openalex.org/W4285503609","https://openalex.org/W2126248441","https://openalex.org/W2366961778","https://openalex.org/W1572721274","https://openalex.org/W4241314868"],"abstract_inverted_index":{"The":[0],"implementation":[1,47],"of":[2,10,37,48,82,90],"deep":[3],"neural":[4],"networks":[5,50],"requires":[6],"a":[7,16,69,79,120],"significant":[8],"amount":[9],"memory":[11],"and":[12,93,109],"computing":[13,27],"power.":[14],"As":[15],"result,":[17],"they":[18,74],"are":[19,96],"often":[20],"implemented":[21],"in":[22,84],"data":[23],"centers":[24],"or":[25],"high-end":[26],"devices":[28],"such":[29],"as":[30],"GPUs.":[31],"However,":[32],"if":[33],"the":[34,41,45,88,117],"internal":[35],"structure":[36],"an":[38,60,85],"FPGA,":[39],"particularly":[40],"LUTs,":[42,91],"is":[43,100],"considered,":[44,97],"FPGA":[46],"these":[49],"could":[51],"prove":[52],"to":[53,78],"be":[54,76],"more":[55,113],"efficient.":[56],"This":[57],"paper":[58],"presents":[59],"iterative":[61],"pruning":[62],"algorithm":[63],"for":[64],"removing":[65],"unnecessary":[66],"inputs":[67],"from":[68],"layer's":[70],"neurons":[71],"so":[72],"that":[73],"can":[75],"synthesized":[77],"small":[80],"number":[81,89],"LUTs":[83],"FPGA.":[86],"When":[87],"throughput,":[92],"power":[94,114],"consumption":[95],"our":[98],"design":[99],"$7.95":[101],"\\times":[102,106,111],"$":[103,107,112],"smaller,":[104],"$1.66":[105],"faster,":[108],"$5.66":[110],"efficient":[115],"than":[116],"baseline,":[118],"with":[119],"0.47%":[121],"accuracy":[122],"drop.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}