{"id":"https://openalex.org/W4401017926","doi":"https://doi.org/10.1109/ipdpsw63119.2024.00194","title":"EDDIS: Accelerating Distributed Data-Parallel DNN Training for Heterogeneous GPU Cluster","display_name":"EDDIS: Accelerating Distributed Data-Parallel DNN Training for Heterogeneous GPU Cluster","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401017926","doi":"https://doi.org/10.1109/ipdpsw63119.2024.00194"},"language":"en","primary_location":{"id":"doi:10.1109/ipdpsw63119.2024.00194","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ipdpsw63119.2024.00194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","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/A5063953385","display_name":"Shinyoung Ahn","orcid":"https://orcid.org/0000-0002-2686-7273"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shinyoung Ahn","raw_affiliation_strings":["ETRI,Supercomputing System Research Section,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETRI,Supercomputing System Research Section,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025705222","display_name":"Hooyoung Ahn","orcid":"https://orcid.org/0000-0003-3904-5049"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hooyoung Ahn","raw_affiliation_strings":["ETRI,Supercomputing System Research Section,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETRI,Supercomputing System Research Section,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000406391","display_name":"Hyeonseong Choi","orcid":"https://orcid.org/0000-0002-7992-2360"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyeonseong Choi","raw_affiliation_strings":["MangoBoost,Software Team,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MangoBoost,Software Team,Seoul,Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405195","display_name":"Jaehyun Lee","orcid":"https://orcid.org/0000-0001-7384-7075"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaehyun Lee","raw_affiliation_strings":["Research Institute, Puzzle AI Inc.,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute, Puzzle AI Inc.,Daejeon,Republic of Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.215,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53045597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1167","last_page":"1168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9645000100135803,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8747795224189758},{"id":"https://openalex.org/keywords/gpu-cluster","display_name":"GPU cluster","score":0.7536839246749878},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7090319395065308},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5839048624038696},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.4522151052951813},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.39231523871421814},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32077351212501526},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.198990136384964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8747795224189758},{"id":"https://openalex.org/C2781335571","wikidata":"https://www.wikidata.org/wiki/Q2633544","display_name":"GPU cluster","level":3,"score":0.7536839246749878},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7090319395065308},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5839048624038696},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.4522151052951813},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.39231523871421814},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32077351212501526},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.198990136384964}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipdpsw63119.2024.00194","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ipdpsw63119.2024.00194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","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":9,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2622263826","https://openalex.org/W2807970597","https://openalex.org/W3103606447","https://openalex.org/W4385988359","https://openalex.org/W6684191040","https://openalex.org/W6739622702"],"related_works":["https://openalex.org/W2056717482","https://openalex.org/W3189307731","https://openalex.org/W2949962288","https://openalex.org/W2364686214","https://openalex.org/W1428699136","https://openalex.org/W1998560227","https://openalex.org/W2017587301","https://openalex.org/W2030707850","https://openalex.org/W2170611190","https://openalex.org/W2566934642"],"abstract_inverted_index":{"EDDIS":[0,45],"is":[1],"a":[2,65],"novel":[3],"distributed":[4,27],"deep":[5,17],"learning":[6],"library":[7],"designed":[8],"to":[9,56,64],"efficiently":[10],"utilize":[11],"heterogeneous":[12,51],"GPU":[13,52],"resources":[14],"for":[15,81],"training":[16,28,33,49,59,71,76],"neural":[18],"networks":[19],"(DNNs),":[20],"addressing":[21],"scalability":[22],"and":[23,37,39,42],"communication":[24],"challenges":[25],"in":[26,50],"environments.":[29],"It":[30],"offers":[31],"three":[32],"modes":[34],"(synchronous,":[35],"asynchronous,":[36],"hybrid)":[38],"supports":[40],"TensorFlow":[41],"PyTorch":[43],"frameworks.":[44],"significantly":[46],"accelerates":[47],"DNN":[48],"settings,":[53],"achieving":[54,75],"up":[55],"17.5x":[57],"faster":[58,80],"with":[60],"16":[61],"nodes":[62],"compared":[63],"single":[66],"node.":[67],"Remarkably,":[68],"the":[69,82],"Hybrid":[70],"mode":[72],"surpasses":[73],"Horovod,":[74],"speeds":[77],"2.53":[78],"times":[79],"ResNet50":[83],"model.":[84]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
