{"id":"https://openalex.org/W4390904880","doi":"https://doi.org/10.1109/tcsii.2024.3354738","title":"Memory-Efficient Batch Normalization by One-Pass Computation for On-Device Training","display_name":"Memory-Efficient Batch Normalization by One-Pass Computation for On-Device Training","publication_year":2024,"publication_date":"2024-01-16","ids":{"openalex":"https://openalex.org/W4390904880","doi":"https://doi.org/10.1109/tcsii.2024.3354738"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2024.3354738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2024.3354738","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-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/A5102816801","display_name":"H. Y. Dai","orcid":"https://orcid.org/0000-0002-1162-2871"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Dai","raw_affiliation_strings":["School of Microelectronics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-1162-2871","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055913406","display_name":"Hang Wang","orcid":"https://orcid.org/0000-0002-2714-0703"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Wang","raw_affiliation_strings":["School of Microelectronics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-2714-0703","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044561987","display_name":"Xuchong Zhang","orcid":"https://orcid.org/0000-0003-2772-2700"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuchong Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-2772-2700","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100706029","display_name":"Hongbin Sun","orcid":"https://orcid.org/0000-0003-2153-2906"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Sun","raw_affiliation_strings":["School of Microelectronics, Xi’an Jiaotong University, Xi’an, Shaanxi, China","College of Artificial Intelligence, Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2153-2906","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"College of Artificial Intelligence, Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.8175,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7037719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"71","issue":"6","first_page":"3186","last_page":"3190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9993000030517578,"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/T12676","display_name":"Machine Learning and ELM","score":0.9991999864578247,"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/normalization","display_name":"Normalization (sociology)","score":0.8090001344680786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7705283164978027},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6637923717498779},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.6095702052116394},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.47591811418533325},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47441595792770386},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42314282059669495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4153165817260742},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4149981737136841},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.36563804745674133},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3474158048629761},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3059050440788269}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8090001344680786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7705283164978027},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6637923717498779},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.6095702052116394},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.47591811418533325},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47441595792770386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42314282059669495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4153165817260742},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4149981737136841},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.36563804745674133},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3474158048629761},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3059050440788269},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2024.3354738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2024.3354738","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G6727985341","display_name":null,"funder_award_id":"62204200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8460415403","display_name":null,"funder_award_id":"62004157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2606722458","https://openalex.org/W2902138814","https://openalex.org/W2913830934","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963918968","https://openalex.org/W3044387456","https://openalex.org/W3118608800","https://openalex.org/W3157114665","https://openalex.org/W3157174059","https://openalex.org/W3185047697","https://openalex.org/W3193784739","https://openalex.org/W4205806473","https://openalex.org/W4211062319","https://openalex.org/W4285255298","https://openalex.org/W4312373098","https://openalex.org/W4312634572","https://openalex.org/W4362689902","https://openalex.org/W6751528251","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2293118914","https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W2171015181","https://openalex.org/W3167919718","https://openalex.org/W4251718783","https://openalex.org/W4239447582","https://openalex.org/W1484403103","https://openalex.org/W2521947294","https://openalex.org/W4390846322"],"abstract_inverted_index":{"Batch":[0],"normalization":[1,32,87],"(BN)":[2],"has":[3],"become":[4],"ubiquitous":[5],"in":[6,16,33,44,48,75],"modern":[7],"deep":[8,17],"learning":[9],"architectures":[10],"because":[11],"of":[12,27,77,124,151],"its":[13],"remarkable":[14],"improvement":[15],"neural":[18],"network":[19],"(DNN)":[20],"training":[21,35,137],"performance.":[22,138],"However,":[23],"the":[24,40,100,117,131,140,145],"two-pass":[25],"computation":[26,82,119],"statistical":[28],"estimation":[29],"and":[30,88,148,155],"element-wise":[31],"BN":[34,70,95,125],"requires":[36],"two":[37],"accesses":[38],"to":[39,67,93,108],"input":[41],"data,":[42],"resulting":[43],"a":[45,60,110],"huge":[46],"increase":[47],"off-chip":[49,96,121],"memory":[50,97,122],"traffic":[51],"during":[52],"DNN":[53],"training.":[54,73],"In":[55],"this":[56],"paper,":[57],"we":[58,79,103],"propose":[59,80,104],"novel":[61],"accelerator,":[62],"named":[63],"one-pass":[64,81,118],"normalizer":[65],"(OPN)":[66],"achieve":[68,109],"memory-efficient":[69],"for":[71],"on-device":[72],"Specifically,":[74],"terms":[76],"dataflow,":[78],"based":[83],"on":[84],"sampling-based":[85],"range":[86],"sparse":[89],"data":[90],"recovery":[91],"techniques":[92],"reduce":[94],"access.":[98],"Regarding":[99],"OPN":[101,152],"circuit,":[102],"channel-wise":[105,141],"constant":[106,142],"extraction":[107,143],"compact":[111],"design.":[112],"Experimental":[113],"results":[114],"show":[115],"that":[116],"reduces":[120],"access":[123],"by":[126,153],"2.0":[127],"3.8\u00d7":[128],"compared":[129],"with":[130],"previous":[132],"state-of-the-art":[133],"designs":[134],"while":[135],"maintaining":[136],"Moreover,":[139],"saves":[144],"gate":[146],"count":[147],"power":[149],"consumption":[150],"56%":[154],"73%,":[156],"respectively.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}