{"id":"https://openalex.org/W3037014446","doi":"https://doi.org/10.1145/3369583.3392687","title":"An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster","display_name":"An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster","publication_year":2020,"publication_date":"2020-06-22","ids":{"openalex":"https://openalex.org/W3037014446","doi":"https://doi.org/10.1145/3369583.3392687","mag":"3037014446"},"language":"en","primary_location":{"id":"doi:10.1145/3369583.3392687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369583.3392687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing","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/A5089627100","display_name":"Akihiko Kasagi","orcid":"https://orcid.org/0000-0002-5793-335X"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akihiko Kasagi","raw_affiliation_strings":["Fujitsu Laboratories ltd., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories ltd., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041051226","display_name":"Akihiro Tabuchi","orcid":"https://orcid.org/0009-0009-3931-3817"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihiro Tabuchi","raw_affiliation_strings":["Fujitsu Laboratories ltd., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories ltd., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110948623","display_name":"Masafumi Yamazaki","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masafumi Yamazaki","raw_affiliation_strings":["Fujitsu Laboratories ltd., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories ltd., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081391958","display_name":"Takumi Honda","orcid":"https://orcid.org/0000-0002-1572-4533"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takumi Honda","raw_affiliation_strings":["Fujitsu Laboratories ltd., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories ltd., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076918879","display_name":"Masahiro Miwa","orcid":"https://orcid.org/0009-0001-5739-0666"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Miwa","raw_affiliation_strings":["Fujitsu Laboratories ltd., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories ltd., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041548002","display_name":"Naoto Fukumoto","orcid":"https://orcid.org/0000-0003-2103-881X"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoto Fukumoto","raw_affiliation_strings":["Fujitsu Laboratories ltd., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories ltd., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034919372","display_name":"Tsuguchika Tabaru","orcid":"https://orcid.org/0000-0001-6568-1968"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuguchika Tabaru","raw_affiliation_strings":["Fujitsu Laboratories ltd., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories ltd., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006634908","display_name":"Atsushi Ike","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Ike","raw_affiliation_strings":["Fujitsu Laboratories ltd., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories ltd., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101153882","display_name":"Kohta Nakashima","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kohta Nakashima","raw_affiliation_strings":["Fujitsu Laboratories ltd., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories ltd., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5089627100"],"corresponding_institution_ids":["https://openalex.org/I2252096349"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05856355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"203","last_page":"207"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8273993134498596},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.8217489719390869},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7735209465026855},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5174863338470459},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.499774694442749},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4623713493347168},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.44095468521118164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42405790090560913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.361797571182251},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35105204582214355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08317053318023682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8273993134498596},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8217489719390869},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7735209465026855},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5174863338470459},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.499774694442749},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4623713493347168},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44095468521118164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42405790090560913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.361797571182251},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35105204582214355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08317053318023682},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3369583.3392687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369583.3392687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing","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":22,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1998831029","https://openalex.org/W2117539524","https://openalex.org/W2168231600","https://openalex.org/W2170135819","https://openalex.org/W2279098554","https://openalex.org/W2757910899","https://openalex.org/W2765407302","https://openalex.org/W2769856846","https://openalex.org/W2884711234","https://openalex.org/W2901541570","https://openalex.org/W2920668770","https://openalex.org/W2944223741","https://openalex.org/W2945785363","https://openalex.org/W2962911728","https://openalex.org/W2963702144","https://openalex.org/W2971315489","https://openalex.org/W2974159143","https://openalex.org/W2992308087","https://openalex.org/W3016159127","https://openalex.org/W4236965008","https://openalex.org/W4307823382"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W3183136280","https://openalex.org/W4318559728","https://openalex.org/W2604237878","https://openalex.org/W3115780569","https://openalex.org/W4383816138"],"abstract_inverted_index":{"Distributed":[0],"deep":[1,13],"learning":[2,14],"using":[3,35],"large":[4,36],"mini-batches":[5],"is":[6,27,47],"a":[7,22,62,71,85],"key":[8],"strategy":[9],"to":[10,29,76],"perform":[11],"the":[12,49,67,93,98,103,116,135,159,189],"as":[15,17,25],"fast":[16],"possible,":[18],"but":[19],"it":[20,26],"represents":[21],"great":[23],"challenge":[24,46],"difficult":[28],"achieve":[30],"high":[31],"scaling":[32],"efficiency":[33],"when":[34],"clusters":[37],"without":[38],"compromising":[39],"accuracy.":[40],"The":[41],"particular":[42],"problem":[43],"in":[44,55,97,139,193],"this":[45,78,81],"decreasing":[48],"number":[50,73,160],"of":[51,57,74,105,123,128,137,147,161,165,177,182,191],"model":[52],"update":[53],"iterations":[54,75],"whole":[56],"training.":[58],"Thus,":[59],"we":[60,83,118,151,157,171],"need":[61],"technique":[63,91],"which":[64],"can":[65],"converge":[66],"validation":[68,108,121,145,175],"accuracy":[69,122,146,176],"with":[70,125,130,167,179,184],"small":[72],"address":[77],"challenge.":[79],"In":[80],"paper,":[82],"introduce":[84],"novel":[86],"technique,":[87,117],"Final":[88,168],"Polishing.":[89],"This":[90],"adjusts":[92],"means":[94],"and":[95,101,110,133,163,170,187],"variances":[96],"batch":[99],"normalization":[100,106],"mitigates":[102],"difference":[104],"between":[107],"datasets":[109],"augmented":[111],"training":[112,136,190],"datasets.":[113],"By":[114],"applying":[115],"achieved":[119,173],"top-1":[120,144,174],"75.08%":[124],"mini-batch":[126,180],"size":[127,181],"81,920,":[129],"2,048":[131],"GPUs":[132,162,186],"completed":[134,188],"ResNet-50":[138,192],"74.7":[140],"seconds.In":[141],"addition,":[142],"targeting":[143],"75.9%":[148],"or":[149],"more,":[150],"tried":[152],"additional":[153],"parameters":[154],"tuning.":[155],"Then,":[156],"adjusted":[158],"hyperparameters":[164],"DNNs":[166],"Polishing,":[169],"also":[172],"75.97%":[178],"86,016,":[183],"3,072":[185],"62.1":[194],"seconds.":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}