{"id":"https://openalex.org/W2944878710","doi":"https://doi.org/10.23919/date.2019.8714785","title":"Multi-objective Precision Optimization of Deep Neural Networks for Edge Devices","display_name":"Multi-objective Precision Optimization of Deep Neural Networks for Edge Devices","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2944878710","doi":"https://doi.org/10.23919/date.2019.8714785","mag":"2944878710"},"language":"en","primary_location":{"id":"doi:10.23919/date.2019.8714785","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2019.8714785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5065637540","display_name":"Nhut-Minh Ho","orcid":"https://orcid.org/0000-0002-3864-8027"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Nhut-Minh Ho","raw_affiliation_strings":["School of Computing, National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086107411","display_name":"Ramesh Vaddi","orcid":"https://orcid.org/0000-0003-3158-4013"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ramesh Vaddi","raw_affiliation_strings":["School of Computing, National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023989495","display_name":"Weng\u2010Fai Wong","orcid":"https://orcid.org/0000-0002-4281-2053"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weng-Fai Wong","raw_affiliation_strings":["School of Computing, National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7118,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74620121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1100","last_page":"1105"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9959999918937683,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9897000193595886,"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":0.8303868174552917},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7182990312576294},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6603208184242249},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.6580103039741516},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5730079412460327},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5359151363372803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5247252583503723},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48635393381118774},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4782894253730774},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.476204514503479},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.44520774483680725},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4184548258781433},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.363641619682312},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07901021838188171}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8303868174552917},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7182990312576294},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6603208184242249},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.6580103039741516},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5730079412460327},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5359151363372803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5247252583503723},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48635393381118774},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4782894253730774},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.476204514503479},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.44520774483680725},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4184548258781433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.363641619682312},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07901021838188171},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date.2019.8714785","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2019.8714785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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","score":0.4699999988079071,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1523628773","https://openalex.org/W2060907140","https://openalex.org/W2067537346","https://openalex.org/W2113158412","https://openalex.org/W2246760854","https://openalex.org/W2286365479","https://openalex.org/W2719597717","https://openalex.org/W2741318576","https://openalex.org/W2748818695","https://openalex.org/W2919115771","https://openalex.org/W2963273111","https://openalex.org/W2963679555","https://openalex.org/W4247198796","https://openalex.org/W6691194387","https://openalex.org/W6696004547","https://openalex.org/W6742116046","https://openalex.org/W6745042827","https://openalex.org/W6746370421"],"related_works":["https://openalex.org/W3042419602","https://openalex.org/W2966649771","https://openalex.org/W3013760193","https://openalex.org/W3162668736","https://openalex.org/W4366999913","https://openalex.org/W4281678247","https://openalex.org/W4381489698","https://openalex.org/W3014007418","https://openalex.org/W3131458535","https://openalex.org/W3176282186"],"abstract_inverted_index":{"Precision":[0],"tuning":[1],"post-training":[2],"is":[3,19,76],"often":[4],"needed":[5],"for":[6,31,40,67,97,111,126],"efficient":[7],"implementation":[8,17],"of":[9,64,124],"deep":[10,45,128],"neural":[11,46],"networks":[12,47,129],"especially":[13],"when":[14],"the":[15,61,79,93,122],"inference":[16],"platform":[18],"resource":[20],"constrained.":[21],"While":[22],"previous":[23,65],"works":[24,66],"have":[25],"proposed":[26,80],"many":[27],"ad":[28],"hoc":[29],"strategies":[30],"this":[32,34],"task,":[33],"paper":[35],"describes":[36],"a":[37,51,56,86],"general":[38,81],"method":[39,96,105],"allocating":[41,119],"precision":[42,62,74,103,120],"to":[43,109],"trained":[44],"data":[48],"based":[49,114],"on":[50,115],"property":[52],"relating":[53],"errors":[54],"in":[55],"network.":[57],"We":[58],"demonstrate":[59],"that":[60],"results":[63],"hardware":[68,116],"accelerator":[69],"or":[70],"understanding":[71],"cross":[72],"layer":[73],"requirement":[75],"subsumed":[77],"by":[78],"method.":[82],"It":[83],"has":[84],"achieved":[85],"29%":[87],"and":[88,99],"46%":[89],"energy":[90],"saving":[91],"over":[92],"state-of-the-art":[94],"search-based":[95],"GoogleNet":[98],"VGG-19":[100],"respectively.":[101],"Proposed":[102],"allocation":[104],"can":[106],"be":[107],"used":[108],"optimize":[110],"different":[112],"criteria":[113],"design":[117],"constraints,":[118],"at":[121],"granularity":[123],"layers":[125],"very":[127],"such":[130],"as":[131],"Resnet-152,":[132],"which":[133],"hitherto":[134],"was":[135],"not":[136],"achievable.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}