{"id":"https://openalex.org/W2773281122","doi":"https://doi.org/10.23919/date.2018.8342166","title":"FFT-based deep learning deployment in embedded systems","display_name":"FFT-based deep learning deployment in embedded systems","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2773281122","doi":"https://doi.org/10.23919/date.2018.8342166","mag":"2773281122"},"language":"en","primary_location":{"id":"doi:10.23919/date.2018.8342166","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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/A5080407824","display_name":"Sheng Lin","orcid":"https://orcid.org/0000-0002-1096-3973"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sheng Lin","raw_affiliation_strings":["Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432426","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0003-4943-6625"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065028689","display_name":"Mahdi Nazemi","orcid":"https://orcid.org/0000-0003-4731-3568"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahdi Nazemi","raw_affiliation_strings":["Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101911275","display_name":"Hongjia Li","orcid":"https://orcid.org/0000-0003-1683-343X"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongjia Li","raw_affiliation_strings":["Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030060072","display_name":"Caiwen Ding","orcid":"https://orcid.org/0000-0003-0891-1231"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caiwen Ding","raw_affiliation_strings":["Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"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/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanzhi Wang","raw_affiliation_strings":["Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044650311","display_name":"Massoud Pedram","orcid":"https://orcid.org/0000-0002-2677-7307"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Massoud Pedram","raw_affiliation_strings":["Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5080407824"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":3.2383,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.94241622,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1045","last_page":"1050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T10320","display_name":"Neural Networks and Applications","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8115936517715454},{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.7545797824859619},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7389445304870605},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.7036504745483398},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.644019365310669},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6229518055915833},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6045206785202026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5441935062408447},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5354165434837341},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.5290932655334473},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4389092028141022},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4335586726665497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4207739233970642},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.39848828315734863},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3695705831050873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16028323769569397},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.10256829857826233},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07625126838684082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115936517715454},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.7545797824859619},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7389445304870605},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.7036504745483398},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.644019365310669},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6229518055915833},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6045206785202026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5441935062408447},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5354165434837341},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.5290932655334473},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4389092028141022},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4335586726665497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4207739233970642},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.39848828315734863},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3695705831050873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16028323769569397},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10256829857826233},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07625126838684082},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date.2018.8342166","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1489355995","https://openalex.org/W1585377561","https://openalex.org/W1605005685","https://openalex.org/W1724438581","https://openalex.org/W1919191429","https://openalex.org/W1922123711","https://openalex.org/W1963882359","https://openalex.org/W1974166884","https://openalex.org/W2013305145","https://openalex.org/W2047188941","https://openalex.org/W2061171222","https://openalex.org/W2112796928","https://openalex.org/W2117130368","https://openalex.org/W2119144962","https://openalex.org/W2120972216","https://openalex.org/W2143612262","https://openalex.org/W2155893237","https://openalex.org/W2161591461","https://openalex.org/W2183631084","https://openalex.org/W2194775991","https://openalex.org/W2276486856","https://openalex.org/W2314470091","https://openalex.org/W2319920447","https://openalex.org/W2399948372","https://openalex.org/W2551814622","https://openalex.org/W2949964376","https://openalex.org/W2952899695","https://openalex.org/W2962676816","https://openalex.org/W2963340555","https://openalex.org/W2963479620","https://openalex.org/W2964299589","https://openalex.org/W3118608800","https://openalex.org/W3213458668","https://openalex.org/W4297666078","https://openalex.org/W6677103964","https://openalex.org/W6683826617","https://openalex.org/W6686067075","https://openalex.org/W6686394896","https://openalex.org/W6687483927","https://openalex.org/W6712447134","https://openalex.org/W6734613814"],"related_works":["https://openalex.org/W107105315","https://openalex.org/W1584537303","https://openalex.org/W4388155270","https://openalex.org/W4367156293","https://openalex.org/W2750549761","https://openalex.org/W1872724644","https://openalex.org/W28826848","https://openalex.org/W2122272819","https://openalex.org/W2016659453","https://openalex.org/W4391382578"],"abstract_inverted_index":{"Deep":[0],"learning":[1,47],"has":[2],"delivered":[3],"its":[4],"powerfulness":[5],"in":[6,11],"many":[7],"application":[8],"domains,":[9],"especially":[10],"image":[12],"and":[13,54,75,99,113,126,136],"speech":[14],"recognition.":[15],"As":[16],"the":[17,69,124,133,138],"backbone":[18],"of":[19,27,30,37,61,110],"deep":[20,22,46],"learning,":[21],"neural":[23],"networks":[24],"(DNNs)":[25],"consist":[26],"multiple":[28],"layers":[29],"various":[31],"types":[32],"with":[33,72,85,106],"hundreds":[34],"to":[35,50],"thousands":[36],"neurons.":[38],"Embedded":[39],"platforms":[40,71,105,144],"are":[41],"now":[42],"becoming":[43],"essential":[44],"for":[45,103],"deployment":[48],"due":[49],"their":[51],"portability,":[52],"versatility,":[53],"energy":[55],"efficiency.":[56],"The":[57],"large":[58],"model":[59,83,101,141],"size":[60,84],"DNNs,":[62],"while":[63],"providing":[64],"excellent":[65],"accuracy,":[66],"also":[67],"burdens":[68],"embedded":[70,104,143],"intensive":[73],"computation":[74,112],"storage.":[76],"Researchers":[77],"have":[78],"investigated":[79],"on":[80,130,142],"reducing":[81],"DNN":[82,97],"negligible":[86],"accuracy":[87],"loss.":[88],"This":[89],"work":[90],"proposes":[91],"a":[92],"Fast":[93],"Fourier":[94],"Transform":[95],"(FFT)-based":[96],"training":[98,125],"inference":[100,127,140],"suitable":[102],"reduced":[107],"asymptotic":[108],"complexity":[109],"both":[111],"storage,":[114],"making":[115],"our":[116],"approach":[117],"distinguished":[118],"from":[119],"existing":[120],"approaches.":[121],"We":[122],"develop":[123],"algorithms":[128],"based":[129],"FFT":[131],"as":[132],"computing":[134],"kernel":[135],"deploy":[137],"FFT-based":[139],"achieving":[145],"extraordinary":[146],"processing":[147],"speed.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}