{"id":"https://openalex.org/W4236408538","doi":"https://doi.org/10.1109/iccad.2017.8203862","title":"Machine learning on FPGAs to face the IoT revolution","display_name":"Machine learning on FPGAs to face the IoT revolution","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W4236408538","doi":"https://doi.org/10.1109/iccad.2017.8203862"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2017.8203862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2017.8203862","pdf_url":null,"source":{"id":"https://openalex.org/S4363608376","display_name":"2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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/A5100330729","display_name":"Xiaofan Zhang","orcid":"https://orcid.org/0000-0001-5081-3972"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaofan Zhang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102323387","display_name":"Anand Ramachandran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anand Ramachandran","raw_affiliation_strings":["Inspirit IoT, Inc"],"affiliations":[{"raw_affiliation_string":"Inspirit IoT, Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040614886","display_name":"Chuanhao Zhuge","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuanhao Zhuge","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739032","display_name":"Di He","orcid":"https://orcid.org/0000-0002-3449-6935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di He","raw_affiliation_strings":["Inspirit IoT, Inc"],"affiliations":[{"raw_affiliation_string":"Inspirit IoT, Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004260686","display_name":"Wei Zuo","orcid":"https://orcid.org/0000-0002-1760-4009"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Zuo","raw_affiliation_strings":["Inspirit IoT, Inc"],"affiliations":[{"raw_affiliation_string":"Inspirit IoT, Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014309618","display_name":"Zuofu Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zuofu Cheng","raw_affiliation_strings":["Inspirit IoT, Inc","University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Inspirit IoT, Inc","institution_ids":[]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090843153","display_name":"Kyle Rupnow","orcid":"https://orcid.org/0000-0003-2908-2225"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kyle Rupnow","raw_affiliation_strings":["Inspirit IoT, Inc"],"affiliations":[{"raw_affiliation_string":"Inspirit IoT, Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056321228","display_name":"Deming Chen","orcid":"https://orcid.org/0000-0002-3016-0270"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deming Chen","raw_affiliation_strings":["Inspirit IoT, Inc","University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Inspirit IoT, Inc","institution_ids":[]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100330729"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.7904,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.85086705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"819","last_page":"826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9987999796867371,"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":0.9975000023841858,"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":0.8042871952056885},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7140173316001892},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.555315375328064},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.548247218132019},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.51832115650177},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5160762667655945},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.47549116611480713},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4719497263431549},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4459720253944397},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.439447820186615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42997249960899353},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4260333180427551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3711569011211395},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10291922092437744},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09936371445655823},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.09183841943740845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8042871952056885},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7140173316001892},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.555315375328064},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.548247218132019},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.51832115650177},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5160762667655945},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.47549116611480713},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4719497263431549},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4459720253944397},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.439447820186615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42997249960899353},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4260333180427551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3711569011211395},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10291922092437744},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09936371445655823},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.09183841943740845}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad.2017.8203862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2017.8203862","pdf_url":null,"source":{"id":"https://openalex.org/S4363608376","display_name":"2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6499999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1789336918","https://openalex.org/W1841592590","https://openalex.org/W1947481528","https://openalex.org/W2011347651","https://openalex.org/W2094756095","https://openalex.org/W2096733369","https://openalex.org/W2096974968","https://openalex.org/W2102113734","https://openalex.org/W2105103777","https://openalex.org/W2111619626","https://openalex.org/W2114508814","https://openalex.org/W2117696986","https://openalex.org/W2128569883","https://openalex.org/W2133564696","https://openalex.org/W2135131618","https://openalex.org/W2166029537","https://openalex.org/W2166906890","https://openalex.org/W2172654076","https://openalex.org/W2276486856","https://openalex.org/W2294282016","https://openalex.org/W2337344472","https://openalex.org/W2526050071","https://openalex.org/W2565125333","https://openalex.org/W2584311934","https://openalex.org/W2585560244","https://openalex.org/W2585720638","https://openalex.org/W2593116425","https://openalex.org/W2618530766","https://openalex.org/W2625058759","https://openalex.org/W2749631377","https://openalex.org/W2762910930","https://openalex.org/W2964350391","https://openalex.org/W4234221021","https://openalex.org/W4297695444","https://openalex.org/W6637373629","https://openalex.org/W6638783484","https://openalex.org/W6675365184","https://openalex.org/W6677192272","https://openalex.org/W6684616911","https://openalex.org/W6703414193","https://openalex.org/W6720840851","https://openalex.org/W6745093622"],"related_works":["https://openalex.org/W2619340758","https://openalex.org/W4282568311","https://openalex.org/W4313484792","https://openalex.org/W2951473296","https://openalex.org/W2883928845","https://openalex.org/W4288420200","https://openalex.org/W4285346947","https://openalex.org/W4365793791","https://openalex.org/W3145095675","https://openalex.org/W3134072570"],"abstract_inverted_index":{"FPGAs":[0,53,74],"have":[1],"been":[2],"rapidly":[3],"adopted":[4],"for":[5,32,52,70,114,119,130],"acceleration":[6],"of":[7,66,85],"Deep":[8],"Neural":[9],"Networks":[10],"(DNNs)":[11],"with":[12,75],"improved":[13,36],"latency":[14],"and":[15,21,39,78,90,98,101,134],"energy":[16,79],"efficiency":[17],"compared":[18],"to":[19,35,142],"CPU":[20],"GPU-based":[22],"implementations.":[23],"High-level":[24],"synthesis":[25],"(HLS)":[26],"is":[27,54],"an":[28],"effective":[29,67],"design":[30,40,68,106],"flow":[31],"DNNs":[33,72],"due":[34],"productivity,":[37],"debugging,":[38],"space":[41],"exploration":[42],"ability.":[43],"However,":[44],"optimizing":[45],"large":[46],"neural":[47],"networks":[48],"under":[49],"resource":[50,91,93],"constraints":[51],"still":[55],"a":[56,64],"key":[57],"challenge.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"present":[63],"series":[65],"techniques":[69],"implementing":[71],"on":[73],"high":[76],"performance":[77,89],"efficiency.":[80],"These":[81,133],"include":[82],"the":[83],"use":[84],"configurable":[86],"DNN":[87,96,99,137],"IPs,":[88],"modeling,":[92],"allocation":[94],"across":[95],"layers,":[97],"reduction":[100],"re-training.":[102],"We":[103],"showcase":[104],"several":[105],"solutions":[107,138],"including":[108],"Long-term":[109],"Recurrent":[110],"Convolution":[111],"Network":[112],"(LRCN)":[113],"video":[115],"captioning,":[116],"Inception":[117],"module":[118],"FaceNet":[120],"face":[121],"recognition,":[122],"as":[123,125],"well":[124],"Long":[126],"Short-Term":[127],"Memory":[128],"(LSTM)":[129],"sound":[131,148],"recognition.":[132],"other":[135],"similar":[136],"are":[139],"ideal":[140],"implementations":[141],"be":[143],"deployed":[144],"in":[145],"vision":[146],"or":[147],"based":[149],"IoT":[150],"applications.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2025-10-10T00:00:00"}