{"id":"https://openalex.org/W4409660009","doi":"https://doi.org/10.1109/lascas64004.2025.10966233","title":"Evaluating Multiplier-Less CNNs in RISC-V Architecture","display_name":"Evaluating Multiplier-Less CNNs in RISC-V Architecture","publication_year":2025,"publication_date":"2025-02-25","ids":{"openalex":"https://openalex.org/W4409660009","doi":"https://doi.org/10.1109/lascas64004.2025.10966233"},"language":"en","primary_location":{"id":"doi:10.1109/lascas64004.2025.10966233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas64004.2025.10966233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 16th Latin America Symposium on Circuits and Systems (LASCAS)","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/A5117244509","display_name":"Bruno Henrique Spies","orcid":null},"institutions":[{"id":"https://openalex.org/I33501960","display_name":"Universidade Federal de Santa Maria","ror":"https://ror.org/01b78mz79","country_code":"BR","type":"education","lineage":["https://openalex.org/I33501960"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Bruno Henrique Spies","raw_affiliation_strings":["Federal University of Santa Maria (UFSM),Santa Maria,RS,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Santa Maria (UFSM),Santa Maria,RS,Brazil","institution_ids":["https://openalex.org/I33501960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117244510","display_name":"Mathias Cirolini Michelotti","orcid":null},"institutions":[{"id":"https://openalex.org/I33501960","display_name":"Universidade Federal de Santa Maria","ror":"https://ror.org/01b78mz79","country_code":"BR","type":"education","lineage":["https://openalex.org/I33501960"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mathias Cirolini Michelotti","raw_affiliation_strings":["Federal University of Santa Maria (UFSM),Santa Maria,RS,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Santa Maria (UFSM),Santa Maria,RS,Brazil","institution_ids":["https://openalex.org/I33501960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101737160","display_name":"Leonardo Londero de Oliveira","orcid":"https://orcid.org/0000-0002-4489-9949"},"institutions":[{"id":"https://openalex.org/I33501960","display_name":"Universidade Federal de Santa Maria","ror":"https://ror.org/01b78mz79","country_code":"BR","type":"education","lineage":["https://openalex.org/I33501960"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leonardo Londero de Oliveira","raw_affiliation_strings":["Federal University of Santa Maria (UFSM),Santa Maria,RS,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Santa Maria (UFSM),Santa Maria,RS,Brazil","institution_ids":["https://openalex.org/I33501960"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072419981","display_name":"Everton Alceu Carara","orcid":"https://orcid.org/0000-0003-0276-8462"},"institutions":[{"id":"https://openalex.org/I33501960","display_name":"Universidade Federal de Santa Maria","ror":"https://ror.org/01b78mz79","country_code":"BR","type":"education","lineage":["https://openalex.org/I33501960"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Everton Alceu Carara","raw_affiliation_strings":["Federal University of Santa Maria (UFSM),Santa Maria,RS,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Santa Maria (UFSM),Santa Maria,RS,Brazil","institution_ids":["https://openalex.org/I33501960"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5117244509"],"corresponding_institution_ids":["https://openalex.org/I33501960"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08110828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9925000071525574,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9925000071525574,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9886999726295471,"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/T10320","display_name":"Neural Networks and Applications","score":0.9294000267982483,"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":0.5978229641914368},{"id":"https://openalex.org/keywords/multiplier","display_name":"Multiplier (economics)","score":0.5639519095420837},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5437023639678955},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4141892194747925},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.34420448541641235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18813380599021912},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07598492503166199},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.07554584741592407}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978229641914368},{"id":"https://openalex.org/C124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","level":2,"score":0.5639519095420837},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5437023639678955},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4141892194747925},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.34420448541641235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18813380599021912},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07598492503166199},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.07554584741592407},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lascas64004.2025.10966233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas64004.2025.10966233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 16th Latin America Symposium on Circuits and Systems (LASCAS)","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":5,"referenced_works":["https://openalex.org/W2950509746","https://openalex.org/W3004552212","https://openalex.org/W4386453603","https://openalex.org/W6766978945","https://openalex.org/W6777719030"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W4281295723","https://openalex.org/W2038503502"],"abstract_inverted_index":{"In":[0,59],"recent":[1],"years":[2],"Convolutional":[3],"Neural":[4],"Network":[5],"(CNN)":[6],"emerged":[7],"as":[8,24,68],"Machine":[9],"Learning":[10],"(ML)":[11],"became":[12],"a":[13,46,56,69],"popular":[14],"approach":[15],"to":[16,51,96,124,138],"solve":[17],"problems":[18],"in":[19,117],"distributed":[20],"area":[21],"computations":[22],"such":[23],"mobile":[25],"devices":[26,41],"and":[27,72,78,87,119,146],"Internet":[28],"of":[29,49],"Things":[30],"(IoT).":[31],"It":[32],"is":[33,42],"well":[34],"known":[35],"that":[36],"local":[37],"computation":[38],"at":[39,55],"edge":[40],"preferable":[43],"over":[44],"transmitting":[45],"huge":[47],"amount":[48],"data":[50],"run":[52],"ML":[53],"algorithms":[54],"central":[57],"node.":[58],"this":[60,102],"sense,":[61],"RISC-V":[62,86],"has":[63,89],"the":[64,82,99,105,149],"research":[65,84],"community's":[66],"attention":[67],"flexible":[70],"architecture":[71,93],"royalty-free":[73],"alternative":[74],"for":[75],"embedded":[76],"processors":[77],"IoT":[79],"devices.":[80],"Although":[81],"latest":[83],"on":[85,107,143],"CNNs":[88],"been":[90],"instruction":[91],"set":[92],"(ISA)":[94],"customization":[95],"speed":[97],"up":[98],"convolution":[100],"process,":[101],"work":[103],"investigates":[104],"impact":[106,142],"inference":[108,132],"execution":[109],"time":[110],"when":[111],"replacing":[112],"multiplication":[113,127],"instructions":[114],"by":[115],"shift":[116],"multiply":[118],"accumulate":[120],"(MAC)":[121],"operations.":[122],"Compared":[123],"slow":[125],"multi-cycle":[126],"instructions,":[128],"our":[129],"experiments":[130],"showed":[131],"throughput":[133],"speedup":[134],"ranging":[135],"from":[136],"1.45x":[137],"1.95x":[139],"with":[140],"negligible":[141],"memory":[144],"footprint":[145],"employing":[147],"only":[148],"base":[150],"integer":[151],"RISC-VISA":[152],"(RV321).":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}