{"id":"https://openalex.org/W4312816025","doi":"https://doi.org/10.1109/iscas48785.2022.9937948","title":"SQNR-based Layer-wise Mixed-Precision Schemes with Computational Complexity Consideration","display_name":"SQNR-based Layer-wise Mixed-Precision Schemes with Computational Complexity Consideration","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312816025","doi":"https://doi.org/10.1109/iscas48785.2022.9937948"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937948","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5100608645","display_name":"Hana Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]},{"id":"https://openalex.org/I4210093892","display_name":"SmartFactory (Germany)","ror":"https://ror.org/00k5ek978","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093892"]}],"countries":["DE","KR"],"is_corresponding":true,"raw_author_name":"Ha-Na Kim","raw_affiliation_strings":["Dept. of Electronic and Electrical Engineering","Graduate Program in Smart Factory, Ewha Womans University"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Electrical Engineering","institution_ids":[]},{"raw_affiliation_string":"Graduate Program in Smart Factory, Ewha Womans University","institution_ids":["https://openalex.org/I138925566","https://openalex.org/I4210093892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081091516","display_name":"Hyun Eun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyun Eun","raw_affiliation_strings":["OPENEDGES Technology, Inc"],"affiliations":[{"raw_affiliation_string":"OPENEDGES Technology, Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103231030","display_name":"Jung Hwan Choi","orcid":"https://orcid.org/0009-0009-4976-9930"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jung Hwan Choi","raw_affiliation_strings":["OPENEDGES Technology, Inc"],"affiliations":[{"raw_affiliation_string":"OPENEDGES Technology, Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377811","display_name":"Ji-Hoon Kim","orcid":"https://orcid.org/0000-0002-9809-1339"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]},{"id":"https://openalex.org/I4210093892","display_name":"SmartFactory (Germany)","ror":"https://ror.org/00k5ek978","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093892"]}],"countries":["DE","KR"],"is_corresponding":false,"raw_author_name":"Ji-Hoon Kim","raw_affiliation_strings":["Dept. of Electronic and Electrical Engineering","Graduate Program in Smart Factory, Ewha Womans University"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Electrical Engineering","institution_ids":[]},{"raw_affiliation_string":"Graduate Program in Smart Factory, Ewha Womans University","institution_ids":["https://openalex.org/I138925566","https://openalex.org/I4210093892"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100608645"],"corresponding_institution_ids":["https://openalex.org/I138925566","https://openalex.org/I4210093892"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37583187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"234","last_page":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9957000017166138,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.8195559978485107},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6181602478027344},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5757466554641724},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5633838176727295},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5182385444641113},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5129794478416443},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5073840022087097},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.49157556891441345},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4658397436141968},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4617040753364563},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.461218923330307},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.46000128984451294},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4153302311897278},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3527202606201172},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32703477144241333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17099440097808838},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10618799924850464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195559978485107},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6181602478027344},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5757466554641724},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5633838176727295},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5182385444641113},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5129794478416443},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5073840022087097},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.49157556891441345},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4658397436141968},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4617040753364563},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.461218923330307},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.46000128984451294},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4153302311897278},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3527202606201172},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32703477144241333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17099440097808838},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10618799924850464},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937948","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2912168260","https://openalex.org/W3046398892","https://openalex.org/W3082058622","https://openalex.org/W3088262073","https://openalex.org/W4287812978","https://openalex.org/W6758625146","https://openalex.org/W6776767859"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4386245174","https://openalex.org/W4200132709","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748"],"abstract_inverted_index":{"Recently,":[0],"AI":[1],"acceleration":[2],"is":[3,55,73,130,140,149],"critical":[4],"for":[5,28,107],"hardware":[6,24,30,34,88],"systems":[7],"from":[8],"mobile/edge":[9,37,154],"devices":[10,38,155],"to":[11,75,101,111,142],"high-performance":[12],"data":[13],"servers.":[14],"For":[15],"on-device":[16],"AI,":[17],"there":[18],"have":[19],"been":[20],"many":[21],"studies":[22],"on":[23],"numerical":[25],"precision":[26,49,71,105,118],"reduction":[27],"low":[29,48],"complexity":[31,89],"considering":[32],"limited":[33],"resources":[35],"of":[36,59,125,135],"[1\u20132].":[39],"However,":[40,95],"if":[41,121],"taken":[42],"too":[43],"far,":[44],"aggressive":[45],"quantization":[46],"with":[47,115],"can":[50,79],"degrade":[51],"model":[52,92],"accuracy":[53,93,124],"which":[54,148],"the":[56,64,69,103,112,116,123,126,133,136,145,150],"fundamental":[57],"measure":[58],"deep":[60],"learning":[61],"quality.":[62],"With":[63],"layer-wise":[65],"mixed-precision":[66,137],"networks":[67],"where":[68],"different":[70,117],"scheme":[72,106],"applied":[74],"each":[76,108],"layer,":[77],"we":[78],"reduce":[80,144],"off-chip":[81],"memory":[82],"bandwidth":[83],"requirements":[84],"as":[85,87],"well":[86],"while":[90],"retaining":[91],"[3].":[94],"it":[96,139],"takes":[97],"a":[98],"long":[99],"time":[100],"determine":[102],"optimal":[104],"layer":[109],"due":[110],"repetitive":[113],"trainings":[114],"configurations.":[119],"Also,":[120],"only":[122],"target":[127],"neural":[128],"network":[129],"considered":[131],"in":[132,153],"process":[134],"determination,":[138],"difficult":[141],"sufficiently":[143],"computational":[146],"complexity,":[147],"most":[151],"important":[152],"[4].":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}