{"id":"https://openalex.org/W3000512942","doi":"https://doi.org/10.1109/ipccc47392.2019.8958738","title":"Topology-aware Sparse Allreduce for Large-scale Deep Learning","display_name":"Topology-aware Sparse Allreduce for Large-scale Deep Learning","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3000512942","doi":"https://doi.org/10.1109/ipccc47392.2019.8958738","mag":"3000512942"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc47392.2019.8958738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc47392.2019.8958738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081826794","display_name":"Truong Thao Nguyen","orcid":"https://orcid.org/0000-0003-3641-374X"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Truong Thao Nguyen","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama,AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL),Meguro-ku,Tokyo,Japan,152-8550","AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama, Meguro-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama,AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL),Meguro-ku,Tokyo,Japan,152-8550","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama, Meguro-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698","https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002208999","display_name":"Mohamed Wahib","orcid":"https://orcid.org/0000-0002-7165-2095"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mohamed Wahib","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama,AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL),Meguro-ku,Tokyo,Japan,152-8550","AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama, Meguro-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama,AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL),Meguro-ku,Tokyo,Japan,152-8550","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama, Meguro-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698","https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082259794","display_name":"Ryousei Takano","orcid":"https://orcid.org/0000-0002-4341-3505"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryousei Takano","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama,AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL),Meguro-ku,Tokyo,Japan,152-8550","AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama, Meguro-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama,AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL),Meguro-ku,Tokyo,Japan,152-8550","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), National Institute of Advanced Industrial Science and Technology (AIST) 2-12-1 W8-92 Ookayama, Meguro-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698","https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8178508281707764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7742763161659241},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6506905555725098},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.558344841003418},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5390602350234985},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5109883546829224},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4871246814727783},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4848426580429077},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4678020775318146},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.43515175580978394},{"id":"https://openalex.org/keywords/communication-complexity","display_name":"Communication complexity","score":0.41823530197143555},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4138012230396271},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3315841555595398},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2882406711578369},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2222331464290619},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15877372026443481}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8178508281707764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7742763161659241},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6506905555725098},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.558344841003418},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5390602350234985},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5109883546829224},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4871246814727783},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4848426580429077},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4678020775318146},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.43515175580978394},{"id":"https://openalex.org/C179145077","wikidata":"https://www.wikidata.org/wiki/Q5154130","display_name":"Communication complexity","level":2,"score":0.41823530197143555},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4138012230396271},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3315841555595398},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2882406711578369},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2222331464290619},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15877372026443481},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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":1,"locations":[{"id":"doi:10.1109/ipccc47392.2019.8958738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc47392.2019.8958738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC)","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":56,"referenced_works":["https://openalex.org/W2057332538","https://openalex.org/W2094233035","https://openalex.org/W2117539524","https://openalex.org/W2131613942","https://openalex.org/W2141561793","https://openalex.org/W2170796499","https://openalex.org/W2194775991","https://openalex.org/W2405578611","https://openalex.org/W2407022425","https://openalex.org/W2563343794","https://openalex.org/W2580688187","https://openalex.org/W2606891064","https://openalex.org/W2617766261","https://openalex.org/W2622263826","https://openalex.org/W2745269232","https://openalex.org/W2767393956","https://openalex.org/W2769644379","https://openalex.org/W2769856846","https://openalex.org/W2774000609","https://openalex.org/W2783487361","https://openalex.org/W2788193959","https://openalex.org/W2884711234","https://openalex.org/W2899266172","https://openalex.org/W2900824371","https://openalex.org/W2908125138","https://openalex.org/W2926655273","https://openalex.org/W2926767350","https://openalex.org/W2962747323","https://openalex.org/W2963702144","https://openalex.org/W2963766684","https://openalex.org/W2963803379","https://openalex.org/W2964004663","https://openalex.org/W2972087877","https://openalex.org/W2978015420","https://openalex.org/W2985108934","https://openalex.org/W2991040477","https://openalex.org/W3101036738","https://openalex.org/W4230874317","https://openalex.org/W4249935458","https://openalex.org/W4294527468","https://openalex.org/W4301021472","https://openalex.org/W6738460352","https://openalex.org/W6739622702","https://openalex.org/W6746200960","https://openalex.org/W6746514494","https://openalex.org/W6746839373","https://openalex.org/W6748087585","https://openalex.org/W6748574992","https://openalex.org/W6751248777","https://openalex.org/W6753209298","https://openalex.org/W6754341472","https://openalex.org/W6756488470","https://openalex.org/W6756718674","https://openalex.org/W6757512202","https://openalex.org/W6761074043","https://openalex.org/W6761333114"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W2595172197","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2084856301"],"abstract_inverted_index":{"Data":[0],"parallelism":[1],"is":[2,25,120],"the":[3,20,31,49,54,61,69,75,83,92,96,116],"dominant":[4],"method":[5],"used":[6],"to":[7,30,58,88],"scale-up":[8],"deep":[9],"learning":[10],"(DL)":[11],"training":[12],"across":[13],"multiple":[14],"compute":[15,107],"nodes.":[16],"Collective":[17],"communication":[18,56,79,93,114],"of":[19,38,48,71,98,104,152],"local":[21],"gradients":[22],"between":[23],"nodes":[24,108],"a":[26,149],"critical":[27],"bottleneck":[28],"due":[29],"significant":[32],"increase":[33],"in":[34,122],"complexity":[35],"and":[36,66,101,137,146],"size":[37],"DL":[39],"models.":[40],"Researchers":[41],"cope":[42],"with":[43,148],"this":[44,126],"problem":[45],"by":[46,140],"one":[47],"following":[50],"solutions:":[51],"a)":[52],"optimizing":[53],"collective":[55],"algorithm":[57],"account":[59],"for":[60],"underlying":[62],"network":[63],"topology":[64],"(topology-aware),":[65],"b)":[67],"reducing":[68],"amount":[70],"transferred":[72],"data.":[73],"In":[74,125],"latter":[76],"approach,":[77],"sparse":[78],"techniques":[80,139],"communicate":[81],"only":[82],"essential":[84],"data,":[85],"which":[86,119],"helps":[87],"significantly":[89],"cut":[90],"down":[91],"cost.":[94],"However,":[95],"diversity":[97],"message":[99],"sizes,":[100],"unknown":[102],"overlap":[103],"indicessets":[105],"among":[106],"(i.e.":[109],"irregular":[110],"size),":[111],"restricts":[112],"their":[113],"into":[115],"many-to-many":[117],"scheme,":[118],"ineffective":[121],"large-scale":[123],"implementations.":[124],"paper,":[127],"we":[128],"present":[129],"allreduce":[130],"algorithms":[131],"that":[132],"can":[133],"exploit":[134],"both":[135],"sparse-communication":[136],"topology-aware":[138],"mixing":[141],"heterogeneous":[142],"data":[143],"formats":[144],"(dense":[145],"sparse)":[147],"trivial":[150],"cost":[151],"computation.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}