{"id":"https://openalex.org/W4397000279","doi":"https://doi.org/10.1109/coolchips61292.2024.10531169","title":"A 22 nm 10 TOPS Mixed-Precision Neural Network SoC for Image Processing with Energy-Efficient Dilated Convolution Support","display_name":"A 22 nm 10 TOPS Mixed-Precision Neural Network SoC for Image Processing with Energy-Efficient Dilated Convolution Support","publication_year":2024,"publication_date":"2024-04-17","ids":{"openalex":"https://openalex.org/W4397000279","doi":"https://doi.org/10.1109/coolchips61292.2024.10531169"},"language":"en","primary_location":{"id":"doi:10.1109/coolchips61292.2024.10531169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coolchips61292.2024.10531169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)","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/A5114137455","display_name":"Simon Friedrich","orcid":null},"institutions":[{"id":"https://openalex.org/I245417339","display_name":"Vodafone (Germany)","ror":"https://ror.org/044qwkx83","country_code":"DE","type":"company","lineage":["https://openalex.org/I245417339","https://openalex.org/I74316835"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Friedrich","raw_affiliation_strings":["Technical University Dresden,Vodafone Chair for Mobile Communications Systems,Dresden,Germany","Vodafone Chair for Mobile Communications Systems, Technical University Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University Dresden,Vodafone Chair for Mobile Communications Systems,Dresden,Germany","institution_ids":["https://openalex.org/I245417339"]},{"raw_affiliation_string":"Vodafone Chair for Mobile Communications Systems, Technical University Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I245417339"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055093457","display_name":"Robert Wittig","orcid":"https://orcid.org/0000-0002-6710-6948"},"institutions":[{"id":"https://openalex.org/I245417339","display_name":"Vodafone (Germany)","ror":"https://ror.org/044qwkx83","country_code":"DE","type":"company","lineage":["https://openalex.org/I245417339","https://openalex.org/I74316835"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Wittig","raw_affiliation_strings":["Technical University Dresden,Vodafone Chair for Mobile Communications Systems,Dresden,Germany","Vodafone Chair for Mobile Communications Systems, Technical University Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University Dresden,Vodafone Chair for Mobile Communications Systems,Dresden,Germany","institution_ids":["https://openalex.org/I245417339"]},{"raw_affiliation_string":"Vodafone Chair for Mobile Communications Systems, Technical University Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I245417339"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060536506","display_name":"Emil Mat\u00fa\u0161","orcid":"https://orcid.org/0000-0002-2150-7201"},"institutions":[{"id":"https://openalex.org/I245417339","display_name":"Vodafone (Germany)","ror":"https://ror.org/044qwkx83","country_code":"DE","type":"company","lineage":["https://openalex.org/I245417339","https://openalex.org/I74316835"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Emil Matus","raw_affiliation_strings":["Technical University Dresden,Vodafone Chair for Mobile Communications Systems,Dresden,Germany","Vodafone Chair for Mobile Communications Systems, Technical University Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University Dresden,Vodafone Chair for Mobile Communications Systems,Dresden,Germany","institution_ids":["https://openalex.org/I245417339"]},{"raw_affiliation_string":"Vodafone Chair for Mobile Communications Systems, Technical University Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I245417339"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092072550","display_name":"Darius Grantz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Darius Grantz","raw_affiliation_strings":["Dream Chip Technologies GmbH,Garbsen,Germany","Dream Chip Technologies GmbH, Garbsen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dream Chip Technologies GmbH,Garbsen,Germany","institution_ids":[]},{"raw_affiliation_string":"Dream Chip Technologies GmbH, Garbsen, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110618260","display_name":"Martin Zeller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Zeller","raw_affiliation_strings":["Dream Chip Technologies GmbH,Garbsen,Germany","Dream Chip Technologies GmbH, Garbsen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dream Chip Technologies GmbH,Garbsen,Germany","institution_ids":[]},{"raw_affiliation_string":"Dream Chip Technologies GmbH, Garbsen, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013492133","display_name":"Jens Benndorf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jens Benndorf","raw_affiliation_strings":["Dream Chip Technologies GmbH,Garbsen,Germany","Dream Chip Technologies GmbH, Garbsen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dream Chip Technologies GmbH,Garbsen,Germany","institution_ids":[]},{"raw_affiliation_string":"Dream Chip Technologies GmbH, Garbsen, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022117288","display_name":"Gerhard Fettweis","orcid":"https://orcid.org/0000-0003-4622-1311"},"institutions":[{"id":"https://openalex.org/I245417339","display_name":"Vodafone (Germany)","ror":"https://ror.org/044qwkx83","country_code":"DE","type":"company","lineage":["https://openalex.org/I245417339","https://openalex.org/I74316835"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Fettweis","raw_affiliation_strings":["Technical University Dresden,Vodafone Chair for Mobile Communications Systems,Dresden,Germany","Vodafone Chair for Mobile Communications Systems, Technical University Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University Dresden,Vodafone Chair for Mobile Communications Systems,Dresden,Germany","institution_ids":["https://openalex.org/I245417339"]},{"raw_affiliation_string":"Vodafone Chair for Mobile Communications Systems, Technical University Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I245417339"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5569,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64696496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.996999979019165,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.996999979019165,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"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/T10320","display_name":"Neural Networks and Applications","score":0.9901999831199646,"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/convolution","display_name":"Convolution (computer science)","score":0.8320863246917725},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7180299758911133},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7025651335716248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936808824539185},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6104963421821594},{"id":"https://openalex.org/keywords/tops","display_name":"TOPS","score":0.543080747127533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5165871381759644},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5112085342407227},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46112769842147827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39893367886543274},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.365756630897522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16778454184532166},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09594085812568665},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05672639608383179}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.8320863246917725},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7180299758911133},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7025651335716248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936808824539185},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6104963421821594},{"id":"https://openalex.org/C2777675136","wikidata":"https://www.wikidata.org/wiki/Q835642","display_name":"TOPS","level":3,"score":0.543080747127533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5165871381759644},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5112085342407227},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46112769842147827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39893367886543274},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.365756630897522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16778454184532166},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09594085812568665},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05672639608383179},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coolchips61292.2024.10531169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coolchips61292.2024.10531169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3015391117","https://openalex.org/W3027968530","https://openalex.org/W3143394933","https://openalex.org/W4293406525","https://openalex.org/W4377969809","https://openalex.org/W6717372056"],"related_works":["https://openalex.org/W2811109569","https://openalex.org/W2385933648","https://openalex.org/W2381557761","https://openalex.org/W4231398535","https://openalex.org/W4245680303","https://openalex.org/W1996292569","https://openalex.org/W4210522299","https://openalex.org/W2043153436","https://openalex.org/W4251921734","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Dilated":[0],"convolutions":[1,42],"have":[2],"become":[3],"popular":[4],"in":[5,36],"recent":[6],"Deep":[7],"Neural":[8],"Networks":[9],"(DNNs).":[10],"However,":[11],"they":[12],"introduce":[13],"additional":[14],"zeros":[15],"within":[16,24],"the":[17,51],"weights.":[18],"To":[19],"efficiently":[20],"compute":[21],"these":[22],"layers":[23],"image":[25,79],"processing":[26],"DNNs,":[27],"we":[28],"implemented":[29],"a":[30,57,68],"10":[31],"TOPS":[32],"neural":[33],"network":[34],"SoC":[35],"22":[37],"nm":[38],"that":[39],"supports":[40],"dilated":[41,77],"with":[43,67],"reduced":[44,55],"energy":[45,52],"consumption.":[46],"By":[47],"exploiting":[48],"this":[49],"advantage,":[50],"can":[53],"be":[54],"by":[56],"factor":[58],"of":[59,70],"4.46":[60],"even":[61],"for":[62],"DNNs":[63],"such":[64],"as":[65],"DeepLabV3+":[66],"majority":[69],"standard":[71],"convolutional":[72],"layers.":[73],"Keywords:":[74],"accelerator,":[75],"DNN,":[76],"convolution,":[78],"pipeline":[80]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}