{"id":"https://openalex.org/W4385624888","doi":"https://doi.org/10.1109/newcas57931.2023.10198178","title":"Design and Implementation of an FFT-Based Neural Network Accelerator Using Rapid Single-Flux-Quantum Technology","display_name":"Design and Implementation of an FFT-Based Neural Network Accelerator Using Rapid Single-Flux-Quantum Technology","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4385624888","doi":"https://doi.org/10.1109/newcas57931.2023.10198178"},"language":"en","primary_location":{"id":"doi:10.1109/newcas57931.2023.10198178","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/newcas57931.2023.10198178","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/A5049723281","display_name":"Olivia Chen","orcid":"https://orcid.org/0000-0002-2208-0262"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Olivia Chen","raw_affiliation_strings":["Tokyo City University,Department of Computer Science,Tokyo,Japan","Department of Computer Science, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo City University,Department of Computer Science,Tokyo,Japan","institution_ids":["https://openalex.org/I185088104"]},{"raw_affiliation_string":"Department of Computer Science, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651384","display_name":"Yanzhi Wang","orcid":"https://orcid.org/0000-0002-3024-7990"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]},{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanzhi Wang","raw_affiliation_strings":["Northeastern University,Department of Electrical and Computer Engineering,Boston,USA","Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Electrical and Computer Engineering,Boston,USA","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I111088046"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002921591","display_name":"Fei Ke","orcid":null},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fei Ke","raw_affiliation_strings":["Yokohama National University,Department of Electrical and Computer Engineering,Yokohama,Japan","Department of Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University,Department of Electrical and Computer Engineering,Yokohama,Japan","institution_ids":["https://openalex.org/I180203408"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089936222","display_name":"Nobuyuki Yoshikawa","orcid":"https://orcid.org/0000-0001-6191-6715"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuyuki Yoshikawa","raw_affiliation_strings":["Yokohama National University,Department of Electrical and Computer Engineering,Yokohama,Japan","Department of Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University,Department of Electrical and Computer Engineering,Yokohama,Japan","institution_ids":["https://openalex.org/I180203408"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049723281"],"corresponding_institution_ids":["https://openalex.org/I185088104"],"apc_list":null,"apc_paid":null,"fwci":0.134,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43099117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10382","display_name":"Quantum and electron transport phenomena","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.6794332265853882},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6087807416915894},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.601507842540741},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5561274290084839},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.46802645921707153},{"id":"https://openalex.org/keywords/circuit-complexity","display_name":"Circuit complexity","score":0.4671062231063843},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4276294410228729},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4220418930053711},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41597023606300354},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.41001808643341064},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3936959505081177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27297118306159973},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.23212328553199768},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1641691029071808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1073090136051178},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08870795369148254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6794332265853882},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6087807416915894},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.601507842540741},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5561274290084839},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.46802645921707153},{"id":"https://openalex.org/C90702460","wikidata":"https://www.wikidata.org/wiki/Q1055112","display_name":"Circuit complexity","level":3,"score":0.4671062231063843},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4276294410228729},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4220418930053711},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41597023606300354},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.41001808643341064},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3936959505081177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27297118306159973},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.23212328553199768},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1641691029071808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1073090136051178},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08870795369148254},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/newcas57931.2023.10198178","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/newcas57931.2023.10198178","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311508","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1975265446","https://openalex.org/W2016657571","https://openalex.org/W2060789102","https://openalex.org/W2119587409","https://openalex.org/W2142109169","https://openalex.org/W2163605009","https://openalex.org/W2478884216","https://openalex.org/W2911696970","https://openalex.org/W2963340555","https://openalex.org/W3136534172","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4327521644","https://openalex.org/W2978884468","https://openalex.org/W3132558499","https://openalex.org/W4367355863","https://openalex.org/W108605771","https://openalex.org/W2097465621","https://openalex.org/W2148482302","https://openalex.org/W4240724541","https://openalex.org/W2188379963","https://openalex.org/W1964609106"],"abstract_inverted_index":{"Deep":[0],"neural":[1,64],"networks":[2],"(DNNs)":[3],"are":[4],"continually":[5],"expanding":[6],"in":[7,43,90],"size":[8,26],"and":[9,19,32,46,78,94,136],"complexity,":[10],"making":[11],"it":[12],"essential":[13],"to":[14,40,99,125],"enhance":[15],"their":[16],"energy":[17,33],"efficiency":[18,34],"performance":[20],"without":[21],"sacrificing":[22],"accuracy.":[23],"The":[24,68,128],"model":[25,44],"significantly":[27],"influences":[28],"the":[29,105,118],"performance,":[30],"scalability,":[31],"of":[35,74,132],"DNNs,":[36],"which":[37],"has":[38],"led":[39],"increased":[41],"interest":[42],"compression":[45],"hardware":[47],"acceleration":[48],"research.":[49],"This":[50],"paper":[51],"presents":[52],"a":[53,61,87,109,140],"novel":[54],"convolution":[55,112],"processor":[56],"architecture":[57],"specifically":[58],"designed":[59],"for":[60],"block-circulant":[62],"matrices-based":[63],"network":[65],"processing":[66,113],"approach.":[67],"proposed":[69,119],"design":[70],"employs":[71],"ultra-fast":[72],"(tens":[73],"gigahertz)":[75],"superconductor-based":[76],"devices":[77],"leverages":[79],"fast":[80],"Fourier":[81],"transform":[82],"(FFT)-based":[83],"rapid":[84],"multiplication,":[85],"achieving":[86],"simultaneous":[88],"reduction":[89],"both":[91],"computational":[92],"complexity":[93,96],"storage":[95],"from":[97],"$\\mathrm{O}(\\mathrm{n}^{2})$":[98],"O(n":[100],"log":[101],"n).":[102],"To":[103],"validate":[104],"concept,":[106],"we":[107],"implement":[108],"7-bit,":[110],"8-point":[111],"element":[114],"(CPE)":[115],"based":[116],"on":[117],"architecture,":[120],"demonstrating":[121],"high-speed":[122],"operation":[123],"up":[124],"43.1":[126],"GHz.":[127],"implemented":[129],"circuit":[130],"consists":[131],"21,575":[133],"Josephson":[134],"junctions":[135],"is":[137],"fabricated":[138],"using":[139],"10kA/cm$^{2}\\,9":[141],"-$layer":[142],"niobium":[143],"superconductor":[144],"process":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}