{"id":"https://openalex.org/W4400230207","doi":"https://doi.org/10.1109/iscas58744.2024.10558516","title":"A Reconfigurable Fused Multiply-Accumulate For Miscellaneous Operators in Deep Neural Network","display_name":"A Reconfigurable Fused Multiply-Accumulate For Miscellaneous Operators in Deep Neural Network","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400230207","doi":"https://doi.org/10.1109/iscas58744.2024.10558516"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5100316853","display_name":"Lei Lei","orcid":"https://orcid.org/0009-0006-7907-7167"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Lei","raw_affiliation_strings":["Beijing Institute of Technology,School of Integrated Circuits and Electronics,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Integrated Circuits and Electronics,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325698","display_name":"Zhiming Chen","orcid":"https://orcid.org/0000-0001-8308-5270"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Chen","raw_affiliation_strings":["Beijing Institute of Technology,School of Integrated Circuits and Electronics,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Integrated Circuits and Electronics,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100316853"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.7274,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7460657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"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/T10320","display_name":"Neural Networks and Applications","score":0.8155999779701233,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8155999779701233,"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":0.6826441884040833},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6156101822853088},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.45873773097991943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3880043923854828}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6826441884040833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6156101822853088},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.45873773097991943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3880043923854828}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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":8,"referenced_works":["https://openalex.org/W2082444966","https://openalex.org/W2465481220","https://openalex.org/W2801795932","https://openalex.org/W2914973130","https://openalex.org/W2943147624","https://openalex.org/W2971946864","https://openalex.org/W3217237164","https://openalex.org/W4312872667"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0,29],"this":[1],"paper,":[2],"a":[3,69,113],"novel":[4],"general-purpose":[5],"multiple-precision":[6],"reconfigurable":[7],"fused":[8],"multiply-accumulate":[9],"(RE-FMA)":[10],"is":[11,108],"proposed":[12],"for":[13],"deep":[14],"neural":[15,91],"network.":[16],"Data":[17],"pre-processing,":[18],"post-processing,":[19],"look-up-table":[20],"(LUT)":[21],"are":[22,27,35,125,146],"added,":[23],"and":[24,81,123,129,149],"accumulate":[25],"functions":[26],"enriched.":[28],"addition,":[30],"the":[31,60,65,100,136,144],"various":[32],"tensor":[33,44,66],"operations":[34,45],"performed":[36],"individually,":[37],"requiring":[38],"only":[39,126],"one":[40],"data":[41],"buffer.":[42],"The":[43,56,84,119],"include":[46],"matrix":[47],"multiplication,":[48],"softmax":[49],"function,":[50],"dot-product,":[51],"quantized-add,":[52],"max-pooling,":[53],"average-pooling,":[54],"etc.":[55],"RE-FMA":[57,85,101],"flexibly":[58],"combines":[59],"basic":[61],"elements":[62],"to":[63,73,89,110,135],"accomplish":[64],"operators":[67],"with":[68,102],"smaller":[70],"area":[71,124],"compared":[72],"traditional":[74],"FMAs.":[75],"It":[76],"also":[77],"features":[78],"high":[79],"speed":[80],"energy":[82],"efficiency.":[83],"has":[86],"significant":[87],"potential":[88],"accelerate":[90],"network":[92],"inference":[93],"in":[94],"resource-constrained":[95],"devices.":[96],"Experiment":[97],"results":[98],"show":[99],"parallelism":[103],"of":[104,116,138],"N":[105],"=":[106],"32":[107],"able":[109],"operate":[111],"at":[112],"maximum":[114],"frequency":[115],"625":[117],"MHz.":[118],"full-load":[120],"power":[121],"consumption":[122],"131.92":[127],"mW":[128],"0.126":[130],"mm<sup":[131],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[132],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>.":[133],"Compared":[134],"sum":[137],"four":[139],"dedicated":[140],"operator":[141],"hardware":[142],"accelerators,":[143],"reductions":[145],"19":[147],"%":[148],"25.6":[150],"%,":[151],"respectively.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
