{"id":"https://openalex.org/W2926543120","doi":"https://doi.org/10.1145/3302424.3303975","title":"Fast Distributed Deep Learning over RDMA","display_name":"Fast Distributed Deep Learning over RDMA","publication_year":2019,"publication_date":"2019-03-22","ids":{"openalex":"https://openalex.org/W2926543120","doi":"https://doi.org/10.1145/3302424.3303975","mag":"2926543120"},"language":"en","primary_location":{"id":"doi:10.1145/3302424.3303975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302424.3303975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourteenth EuroSys Conference 2019","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/A5100919692","display_name":"Jilong Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jilong Xue","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075076538","display_name":"Youshan Miao","orcid":"https://orcid.org/0000-0002-2395-9965"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Youshan Miao","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420548","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0002-4203-2145"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077902436","display_name":"Ming Wu","orcid":"https://orcid.org/0000-0001-8390-5398"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ming Wu","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101985940","display_name":"Lintao Zhang","orcid":"https://orcid.org/0009-0005-7527-8183"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lintao Zhang","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037359171","display_name":"Lidong Zhou","orcid":"https://orcid.org/0000-0002-7258-3116"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lidong Zhou","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100919692"],"corresponding_institution_ids":["https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":2.2482,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.90586022,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9995999932289124,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9995999932289124,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.859246015548706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8580771684646606},{"id":"https://openalex.org/keywords/remote-direct-memory-access","display_name":"Remote direct memory access","score":0.8055782914161682},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6504186987876892},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5933849215507507},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.55570387840271},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5216948390007019},{"id":"https://openalex.org/keywords/model-of-computation","display_name":"Model of computation","score":0.5138083100318909},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4627302885055542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4609085023403168},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42935600876808167},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41908133029937744},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.38308557868003845},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30821263790130615},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2290901243686676},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12047114968299866},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10351914167404175}],"concepts":[{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.859246015548706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8580771684646606},{"id":"https://openalex.org/C130795937","wikidata":"https://www.wikidata.org/wiki/Q2561570","display_name":"Remote direct memory access","level":2,"score":0.8055782914161682},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6504186987876892},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5933849215507507},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.55570387840271},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5216948390007019},{"id":"https://openalex.org/C184596265","wikidata":"https://www.wikidata.org/wiki/Q2651576","display_name":"Model of computation","level":3,"score":0.5138083100318909},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4627302885055542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4609085023403168},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42935600876808167},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41908133029937744},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.38308557868003845},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30821263790130615},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2290901243686676},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12047114968299866},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10351914167404175},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3302424.3303975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302424.3303975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourteenth EuroSys Conference 2019","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":34,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W753012316","https://openalex.org/W1442374986","https://openalex.org/W1446278828","https://openalex.org/W1532546444","https://openalex.org/W1598064945","https://openalex.org/W1686810756","https://openalex.org/W1975171529","https://openalex.org/W1977329921","https://openalex.org/W2007888220","https://openalex.org/W2064675550","https://openalex.org/W2083842231","https://openalex.org/W2106035061","https://openalex.org/W2119391823","https://openalex.org/W2129554014","https://openalex.org/W2135875530","https://openalex.org/W2140101134","https://openalex.org/W2157331557","https://openalex.org/W2168231600","https://openalex.org/W2181607856","https://openalex.org/W2186615578","https://openalex.org/W2338370098","https://openalex.org/W2384495648","https://openalex.org/W2402144811","https://openalex.org/W2416075414","https://openalex.org/W2475334473","https://openalex.org/W2554389056","https://openalex.org/W2574582689","https://openalex.org/W2618530766","https://openalex.org/W2913854892","https://openalex.org/W2949605076","https://openalex.org/W2949888546","https://openalex.org/W2990138404","https://openalex.org/W3118608800"],"related_works":["https://openalex.org/W1913614413","https://openalex.org/W2277357125","https://openalex.org/W2108674173","https://openalex.org/W916290386","https://openalex.org/W4229975623","https://openalex.org/W2077180914","https://openalex.org/W2562419090","https://openalex.org/W2175165393","https://openalex.org/W1901078190","https://openalex.org/W2188794726"],"abstract_inverted_index":{"Deep":[0],"learning":[1,26],"emerges":[2],"as":[3],"an":[4],"important":[5],"new":[6],"resource-intensive":[7],"workload":[8],"and":[9,21,36,60],"has":[10],"been":[11],"successfully":[12],"applied":[13],"in":[14],"computer":[15],"vision,":[16],"speech,":[17],"natural":[18],"language":[19],"processing,":[20],"so":[22],"on.":[23],"Distributed":[24],"deep":[25],"is":[27,41],"becoming":[28],"a":[29,45,54],"necessity":[30],"to":[31,50,57],"cope":[32],"with":[33,63],"growing":[34],"data":[35,48,77],"model":[37,51,58],"sizes.":[38],"Its":[39],"computation":[40],"typically":[42],"characterized":[43],"by":[44],"simple":[46],"tensor":[47],"abstraction":[49],"multi-dimensional":[52],"matrices,":[53],"dataflow":[55],"graph":[56],"computation,":[59],"iterative":[61],"executions":[62],"relatively":[64],"frequent":[65],"synchronizations,":[66],"thereby":[67],"making":[68],"it":[69],"substantially":[70],"different":[71],"from":[72],"Map/Reduce":[73],"style":[74],"distributed":[75],"big":[76],"computation.":[78]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}