{"id":"https://openalex.org/W4283207077","doi":"https://doi.org/10.1109/infocom48880.2022.9796752","title":"AutoByte: Automatic Configuration for Optimal Communication Scheduling in DNN Training","display_name":"AutoByte: Automatic Configuration for Optimal Communication Scheduling in DNN Training","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4283207077","doi":"https://doi.org/10.1109/infocom48880.2022.9796752"},"language":"en","primary_location":{"id":"doi:10.1109/infocom48880.2022.9796752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796752","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","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":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.hkust.edu.hk/ir/bitstream/1783.1-118413/1/118413-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016523647","display_name":"Yiqing Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yiqing Ma","raw_affiliation_strings":["Hong Kong University of Science and Technology,iSING Lab","iSING Lab, Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,iSING Lab","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"iSING Lab, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446064","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9301-5989"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Hong Kong University of Science and Technology,iSING Lab","iSING Lab, Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,iSING Lab","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"iSING Lab, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395351","display_name":"Yiming Zhang","orcid":"https://orcid.org/0000-0001-6450-8485"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Zhang","raw_affiliation_strings":["Xiamen University,NICEX Lab","NICEX Lab, Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University,NICEX Lab","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"NICEX Lab, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100438001","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0003-2587-6028"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kai Chen","raw_affiliation_strings":["Hong Kong University of Science and Technology,iSING Lab","iSING Lab, Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,iSING Lab","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"iSING Lab, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016523647"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":3.2062,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.9358417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"760","last_page":"769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11932","display_name":"Wireless Body Area Networks","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12079","display_name":"IoT Networks and Protocols","score":0.9850000143051147,"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":0.8293288946151733},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6694865822792053},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6353961229324341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40509936213493347},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3433215320110321},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3208369016647339},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.10552451014518738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8293288946151733},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6694865822792053},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6353961229324341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40509936213493347},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3433215320110321},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3208369016647339},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.10552451014518738},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infocom48880.2022.9796752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796752","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","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":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-118413","is_oa":true,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-118413","pdf_url":"https://repository.hkust.edu.hk/ir/bitstream/1783.1-118413/1/118413-1.pdf","source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-118413","is_oa":true,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-118413","pdf_url":"https://repository.hkust.edu.hk/ir/bitstream/1783.1-118413/1/118413-1.pdf","source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4765491843","display_name":null,"funder_award_id":"61872376","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283207077.pdf","grobid_xml":"https://content.openalex.org/works/W4283207077.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W1545728916","https://openalex.org/W1563795667","https://openalex.org/W1657185548","https://openalex.org/W1686810756","https://openalex.org/W2031213082","https://openalex.org/W2056168088","https://openalex.org/W2057332538","https://openalex.org/W2060393849","https://openalex.org/W2099201756","https://openalex.org/W2112474496","https://openalex.org/W2131241448","https://openalex.org/W2132737349","https://openalex.org/W2149939304","https://openalex.org/W2162891889","https://openalex.org/W2163112974","https://openalex.org/W2186615578","https://openalex.org/W2194775991","https://openalex.org/W2488801318","https://openalex.org/W2498764059","https://openalex.org/W2563188592","https://openalex.org/W2604783387","https://openalex.org/W2604856537","https://openalex.org/W2618530766","https://openalex.org/W2622263826","https://openalex.org/W2745734086","https://openalex.org/W2762436921","https://openalex.org/W2769644379","https://openalex.org/W2774000609","https://openalex.org/W2789953454","https://openalex.org/W2824027552","https://openalex.org/W2947198853","https://openalex.org/W2953384591","https://openalex.org/W2962758826","https://openalex.org/W2963179579","https://openalex.org/W2964412985","https://openalex.org/W2969388332","https://openalex.org/W2975712713","https://openalex.org/W2982612373","https://openalex.org/W3038333728","https://openalex.org/W3048581864","https://openalex.org/W3071522630","https://openalex.org/W3095319910","https://openalex.org/W3096403968","https://openalex.org/W3115922820","https://openalex.org/W3124352525","https://openalex.org/W3154219392","https://openalex.org/W4288357791","https://openalex.org/W4295312788","https://openalex.org/W6633802082","https://openalex.org/W6636819530","https://openalex.org/W6637373629","https://openalex.org/W6665801690","https://openalex.org/W6675200109","https://openalex.org/W6678911119","https://openalex.org/W6679393576","https://openalex.org/W6684260611","https://openalex.org/W6686509673","https://openalex.org/W6713134421","https://openalex.org/W6735916004","https://openalex.org/W6736413256","https://openalex.org/W6739622702","https://openalex.org/W6739693220","https://openalex.org/W6746200960","https://openalex.org/W6746839373","https://openalex.org/W6749261272","https://openalex.org/W6752191696","https://openalex.org/W6754818105","https://openalex.org/W6760703128","https://openalex.org/W6762211661","https://openalex.org/W6766978945","https://openalex.org/W6780250005","https://openalex.org/W6781462240","https://openalex.org/W6784425352"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952","https://openalex.org/W4366179611","https://openalex.org/W2996078371"],"abstract_inverted_index":{"ByteScheduler":[0,40,109],"partitions":[1],"and":[2,26,37,64,94,123,149],"rearranges":[3],"tensor":[4],"transmissions":[5],"to":[6,32,45,152],"improve":[7],"the":[8,23,27,33,47,51,71,97,101,108,116,143,157],"communication":[9],"efficiency":[10],"of":[11,20,35],"distributed":[12],"Deep":[13],"Neural":[14],"Network":[15],"(DNN)":[16],"training.":[17],"The":[18],"configuration":[19,49,74,88,160],"hyper-parameters":[21,52,99,144],"(i.e.,":[22],"partition":[24],"size":[25],"credit":[28],"size)":[29],"is":[30],"critical":[31],"effectiveness":[34],"partitioning":[36],"rearrangement.":[38],"Currently,":[39],"adopts":[41],"Bayesian":[42],"Optimization":[43],"(BO)":[44],"find":[46],"optimal":[48,98],"for":[50,77,126],"beforehand.":[53],"In":[54],"practice,":[55],"however,":[56],"various":[57,134],"runtime":[58,118],"factors":[59],"(e.g.,":[60],"worker":[61],"node":[62],"status":[63],"network":[65],"conditions)":[66],"change":[67],"over":[68],"time,":[69],"making":[70],"statically-determined":[72],"one-shot":[73],"result":[75],"suboptimal":[76],"real-world":[78],"DNN":[79,135],"training.To":[80],"address":[81],"this":[82],"problem,":[83],"we":[84],"present":[85],"a":[86,112],"real-time":[87],"method":[89],"(called":[90],"AutoByte)":[91],"that":[92,138],"automatically":[93],"timely":[95],"searches":[96],"as":[100,120],"training":[102],"systems":[103],"dynamically":[104,141],"change.":[105],"AutoByte":[106,139],"extends":[107],"framework":[110],"with":[111,145],"meta-network,":[113],"which":[114],"takes":[115],"system\u2019s":[117],"statistics":[119],"its":[121],"input":[122],"outputs":[124],"predictions":[125],"speedups":[127],"under":[128],"specific":[129],"configurations.":[130],"Evaluation":[131],"results":[132],"on":[133],"models":[136],"show":[137],"can":[140],"tune":[142],"low":[146],"resource":[147],"usage,":[148],"deliver":[150],"up":[151],"33.2%":[153],"higher":[154],"performance":[155],"than":[156],"best":[158],"static":[159],"in":[161],"ByteScheduler.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}