{"id":"https://openalex.org/W2119391823","doi":"https://doi.org/10.1145/2783258.2783323","title":"Petuum","display_name":"Petuum","publication_year":2015,"publication_date":"2015-08-07","ids":{"openalex":"https://openalex.org/W2119391823","doi":"https://doi.org/10.1145/2783258.2783323","mag":"2119391823"},"language":"en","primary_location":{"id":"doi:10.1145/2783258.2783323","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2783323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","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/A5009547049","display_name":"Eric P. Xing","orcid":"https://orcid.org/0009-0005-9158-4201"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eric P. Xing","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012361506","display_name":"Qirong Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qirong Ho","raw_affiliation_strings":["Institute for Infocomm Research, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752232","display_name":"Wei Dai","orcid":"https://orcid.org/0000-0002-0408-1835"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Dai","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061842716","display_name":"Jinkyu Kim","orcid":"https://orcid.org/0000-0001-6520-2074"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin-Kyu Kim","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112647533","display_name":"Jinliang Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinliang Wei","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102015905","display_name":"Seunghak Lee","orcid":"https://orcid.org/0000-0003-2221-8433"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seunghak Lee","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023132445","display_name":"Xun Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xun Zheng","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083884675","display_name":"Pengtao Xie","orcid":"https://orcid.org/0000-0003-0521-174X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengtao Xie","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046535830","display_name":"Abhimanu Kumar","orcid":"https://orcid.org/0000-0003-4529-7883"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhimanu Kumar","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104247245","display_name":"Yaoliang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaoliang Yu","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5009547049"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":23.176,"has_fulltext":false,"cited_by_count":121,"citation_normalized_percentile":{"value":0.99484875,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1335","last_page":"1344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9990000128746033,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9987000226974487,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.8598314523696899},{"id":"https://openalex.org/keywords/terabyte","display_name":"Terabyte","score":0.630183219909668},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6224826574325562},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5830962657928467},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.572592556476593},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5469019412994385},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5396862030029297},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.441201776266098},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4362413287162781},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.4331980347633362},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38752394914627075},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.20368912816047668},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15188145637512207},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12287428975105286},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09593567252159119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8598314523696899},{"id":"https://openalex.org/C199683683","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Terabyte","level":2,"score":0.630183219909668},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6224826574325562},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5830962657928467},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.572592556476593},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5469019412994385},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5396862030029297},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.441201776266098},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4362413287162781},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.4331980347633362},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38752394914627075},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.20368912816047668},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15188145637512207},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12287428975105286},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09593567252159119},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2783258.2783323","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2783323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1577326256","display_name":null,"funder_award_id":"R01GM087694, P30DA035778, RC2HL101487, R01GM093156","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5359614187","display_name":null,"funder_award_id":"N000141410684","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G6596108851","display_name":null,"funder_award_id":"IIS 1447676, 1111142, 1218282, 1115313","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7527175046","display_name":null,"funder_award_id":"FA9550101247","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G7838115825","display_name":null,"funder_award_id":"BR4821","funder_id":"https://openalex.org/F4320306151","funder_display_name":"Alfred P. Sloan Foundation"},{"id":"https://openalex.org/G8986916724","display_name":null,"funder_award_id":"FA87501220324","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W27929844","https://openalex.org/W114517082","https://openalex.org/W200298483","https://openalex.org/W1503398984","https://openalex.org/W1511814458","https://openalex.org/W1598064945","https://openalex.org/W1609010894","https://openalex.org/W1980147176","https://openalex.org/W2001082470","https://openalex.org/W2012384441","https://openalex.org/W2017828380","https://openalex.org/W2020098476","https://openalex.org/W2032395696","https://openalex.org/W2056636001","https://openalex.org/W2057663245","https://openalex.org/W2074694452","https://openalex.org/W2083842231","https://openalex.org/W2096544401","https://openalex.org/W2104450883","https://openalex.org/W2108598243","https://openalex.org/W2113547287","https://openalex.org/W2114643899","https://openalex.org/W2117154949","https://openalex.org/W2125858773","https://openalex.org/W2132737349","https://openalex.org/W2133233009","https://openalex.org/W2138243089","https://openalex.org/W2138996412","https://openalex.org/W2141711298","https://openalex.org/W2150731624","https://openalex.org/W2164278908","https://openalex.org/W2166851633","https://openalex.org/W2168231600","https://openalex.org/W2169495281","https://openalex.org/W2170616854","https://openalex.org/W2182420680","https://openalex.org/W2189465200","https://openalex.org/W2253807446","https://openalex.org/W2949198759","https://openalex.org/W2951781666","https://openalex.org/W2952033860","https://openalex.org/W2962727278","https://openalex.org/W2962885409","https://openalex.org/W2963707635","https://openalex.org/W2995564009","https://openalex.org/W3098745759","https://openalex.org/W4292363360","https://openalex.org/W4294562888","https://openalex.org/W6684578138"],"related_works":["https://openalex.org/W2936171637","https://openalex.org/W1586214342","https://openalex.org/W2260589296","https://openalex.org/W2772436979","https://openalex.org/W3157828377","https://openalex.org/W181157820","https://openalex.org/W3137329302","https://openalex.org/W4241817935","https://openalex.org/W2937168573","https://openalex.org/W2805468299"],"abstract_inverted_index":{"How":[0],"can":[1],"one":[2],"build":[3],"a":[4,12,87,92,103,191],"distributed":[5],"framework":[6,105],"that":[7,106,124],"allows":[8],"efficient":[9],"deployment":[10],"of":[11,15,29,31,64,69,95,155,195,206],"wide":[13,93],"spectrum":[14],"modern":[16],"advanced":[17],"machine":[18],"learning":[19],"(ML)":[20],"programs":[21,98,123],"for":[22,164],"industrial-scale":[23],"problems":[24],"using":[25],"Big":[26,34],"Models":[27],"(100s":[28],"billions":[30],"parameters)":[32],"on":[33,61,170,224],"Data":[35],"(terabytes":[36],"or":[37,56],"petabytes)-":[38],"Contemporary":[39],"parallelization":[40],"strategies":[41],"employ":[42],"fine-grained":[43],"operations":[44],"and":[45,75,81,110,136,151,174,182,218],"scheduling":[46],"beyond":[47],"the":[48,142,152],"classic":[49],"bulk-synchronous":[50],"processing":[51],"paradigm":[52],"popularized":[53],"by":[54,116],"MapReduce,":[55],"even":[57],"specialized":[58],"operators":[59],"relying":[60],"graphical":[62],"representations":[63],"ML":[65,97,122,147,208],"programs.":[66],"The":[67],"variety":[68],"approaches":[70],"tends":[71],"to":[72,85,91,199,212],"pull":[73],"systems":[74],"algorithms":[76],"design":[77,192],"in":[78,113,146,193,214],"different":[79,96,127],"directions,":[80],"it":[82],"remains":[83],"difficult":[84],"find":[86],"universal":[88],"platform":[89],"applicable":[90],"range":[94],"at":[99,219],"scale.":[100],"We":[101,187],"propose":[102],"general-purpose":[104],"systematically":[107],"addresses":[108],"data-":[109],"model-parallel":[111],"challenges":[112],"large-scale":[114],"ML,":[115],"leveraging":[117],"several":[118,207],"fundamental":[119],"properties":[120,160],"underlying":[121],"make":[125],"them":[126,211],"from":[128,141],"conventional":[129],"operation-centric":[130],"programs:":[131],"error":[132],"tolerance,":[133],"dynamic":[134,175],"structure,":[135],"nonuniform":[137],"convergence;":[138],"all":[139],"stem":[140],"optimization-centric":[143],"nature":[144],"shared":[145],"programs'":[148],"mathematical":[149],"definitions,":[150],"iterative-convergent":[153],"behavior":[154],"their":[156],"algorithmic":[157],"solutions.":[158],"These":[159],"present":[161],"unique":[162],"opportunities":[163],"an":[165],"integrative":[166],"system":[167],"design,":[168],"built":[169],"bounded-latency":[171],"network":[172],"synchronization":[173],"load-balancing":[176],"scheduling,":[177],"which":[178],"is":[179],"efficient,":[180],"programmable,":[181],"enjoys":[183],"provable":[184],"correctness":[185],"guarantees.":[186],"demonstrate":[188],"how":[189],"such":[190],"light":[194],"ML-first":[196],"principles":[197],"leads":[198],"significant":[200],"performance":[201],"improvements":[202],"versus":[203],"well-known":[204],"implementations":[205],"programs,":[209],"allowing":[210],"run":[213],"much":[215],"less":[216],"time":[217],"considerably":[220],"larger":[221],"model":[222],"sizes,":[223],"modestly-sized":[225],"computer":[226],"clusters.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":4}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2016-06-24T00:00:00"}
