{"id":"https://openalex.org/W2805220126","doi":"https://doi.org/10.1109/access.2018.2842103","title":"TensorLightning: A Traffic-Efficient Distributed Deep Learning on Commodity Spark Clusters","display_name":"TensorLightning: A Traffic-Efficient Distributed Deep Learning on Commodity Spark Clusters","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2805220126","doi":"https://doi.org/10.1109/access.2018.2842103","mag":"2805220126"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2842103","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2842103","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2842103","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063032184","display_name":"Se-Il Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seil Lee","raw_affiliation_strings":["Seoul National University, Gwanak-gu, Seoul, KR"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Gwanak-gu, Seoul, KR","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103062165","display_name":"Han-Joo Kim","orcid":"https://orcid.org/0009-0002-2370-1750"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hanjoo Kim","raw_affiliation_strings":["Seoul National University, Gwanak-gu, Seoul, KR"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Gwanak-gu, Seoul, KR","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628910","display_name":"Jaehong Park","orcid":"https://orcid.org/0000-0002-0509-3934"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaehong Park","raw_affiliation_strings":["Element AI, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Element AI, Montreal, QC, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102813831","display_name":"Jaehee Jang","orcid":"https://orcid.org/0000-0003-0322-5654"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehee Jang","raw_affiliation_strings":["Seoul National University, Gwanak-gu, Seoul, KR"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Gwanak-gu, Seoul, KR","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039944209","display_name":"Chang\u2010Sung Jeong","orcid":"https://orcid.org/0000-0001-9654-8406"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang-Sung Jeong","raw_affiliation_strings":["Korea University, Seongbuk-gu, Seoul, KR"],"affiliations":[{"raw_affiliation_string":"Korea University, Seongbuk-gu, Seoul, KR","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086877012","display_name":"Sungroh Yoon","orcid":"https://orcid.org/0000-0002-2367-197X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungroh Yoon","raw_affiliation_strings":["Seoul National University, Gwanak-gu, Seoul, KR"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Gwanak-gu, Seoul, KR","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063032184"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9694,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77050556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"27671","last_page":"27680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10028","display_name":"Topic Modeling","score":0.9936000108718872,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/spark","display_name":"SPARK (programming language)","score":0.7609387636184692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6785289645195007},{"id":"https://openalex.org/keywords/commodity","display_name":"Commodity","score":0.5955357551574707},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.512127161026001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3730891942977905},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32858288288116455},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08997038006782532}],"concepts":[{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.7609387636184692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6785289645195007},{"id":"https://openalex.org/C2779439359","wikidata":"https://www.wikidata.org/wiki/Q317088","display_name":"Commodity","level":2,"score":0.5955357551574707},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.512127161026001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3730891942977905},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32858288288116455},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08997038006782532},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2842103","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2842103","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bc72b6b572e44d5f8e32244c28fd420c","is_oa":true,"landing_page_url":"https://doaj.org/article/bc72b6b572e44d5f8e32244c28fd420c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 27671-27680 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2842103","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2842103","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W410850256","https://openalex.org/W778657980","https://openalex.org/W1442374986","https://openalex.org/W1522301498","https://openalex.org/W2040728701","https://openalex.org/W2060393849","https://openalex.org/W2083842231","https://openalex.org/W2087133653","https://openalex.org/W2100664567","https://openalex.org/W2119144962","https://openalex.org/W2133564696","https://openalex.org/W2138243089","https://openalex.org/W2147869723","https://openalex.org/W2155893237","https://openalex.org/W2157331557","https://openalex.org/W2163605009","https://openalex.org/W2167732364","https://openalex.org/W2168231600","https://openalex.org/W2189465200","https://openalex.org/W2194775991","https://openalex.org/W2198403777","https://openalex.org/W2204075824","https://openalex.org/W2204857797","https://openalex.org/W2251994258","https://openalex.org/W2279098554","https://openalex.org/W2336650964","https://openalex.org/W2515920125","https://openalex.org/W2528018097","https://openalex.org/W2950635152","https://openalex.org/W2962844195","https://openalex.org/W2963288913","https://openalex.org/W2963804082","https://openalex.org/W2963903325","https://openalex.org/W2964121744","https://openalex.org/W6614148910","https://openalex.org/W6622473587","https://openalex.org/W6628377381","https://openalex.org/W6638803421","https://openalex.org/W6665801690","https://openalex.org/W6680402377","https://openalex.org/W6684191040","https://openalex.org/W6684859321","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756"],"abstract_inverted_index":{"With":[0],"the":[1,7,25,89,126,142,165],"recent":[2],"success":[3],"of":[4,9,94],"deep":[5,20,59,99],"learning,":[6],"amount":[8],"data":[10,92],"and":[11,53,71,103,112,122,135,144,160],"computation":[12],"continues":[13],"to":[14,50,118],"grow":[15],"daily.":[16],"Hence":[17],"a":[18,33,47,107],"distributed":[19,35],"learning":[21,100],"system":[22],"that":[23],"shares":[24],"training":[26,63,147],"workload":[27],"has":[28],"been":[29],"researched":[30],"extensively.":[31],"Although":[32],"scale-out":[34],"environment":[36],"using":[37],"commodity":[38],"servers":[39],"is":[40,45,80],"widely":[41,90],"used,":[42],"not":[43],"only":[44],"there":[46],"limit":[48],"due":[49],"synchronous":[51],"operation":[52],"communication":[54,120],"traffic":[55,169],"but":[56],"also":[57],"combining":[58],"neural":[60,158,162],"network":[61,159,163,168],"(DNN)":[62],"with":[64,97,133,148,156,172],"existing":[65],"clusters":[66],"often":[67],"demands":[68],"additional":[69],"hardware":[70],"migration":[72],"between":[73],"different":[74],"cluster":[75],"frameworks":[76],"or":[77],"libraries,":[78,101],"which":[79,87],"highly":[81],"inefficient.":[82],"Therefore,":[83],"we":[84],"propose":[85],"TensorLightning":[86,105],"integrates":[88],"used":[91],"pipeline":[93],"Apache":[95],"Spark":[96],"powerful":[98],"Caffe":[102],"TensorFlow.":[104],"embraces":[106],"brand-new":[108],"parameter":[109,115],"aggregation":[110],"algorithm":[111,132],"parallel":[113],"asynchronous":[114],"managing":[116],"schemes":[117],"relieve":[119],"discrepancies":[121],"overhead.":[123],"We":[124,151],"redesign":[125],"elastic":[127],"averaging":[128],"stochastic":[129],"gradient":[130],"descent":[131],"pruned":[134],"sparse":[136],"form":[137],"parameters.":[138],"Our":[139],"approach":[140],"provides":[141],"fast":[143],"flexible":[145],"DNN":[146],"high":[149],"accessibility.":[150],"evaluated":[152],"our":[153],"proposed":[154],"framework":[155,166],"convolutional":[157],"recurrent":[161],"models;":[164],"reduces":[167],"by":[170],"67%":[171],"faster":[173],"convergence.":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
