{"id":"https://openalex.org/W3036601975","doi":"https://doi.org/10.4230/oasics.nines.2026.13","title":"In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication","display_name":"In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication","publication_year":2020,"publication_date":"2020-06-20","ids":{"openalex":"https://openalex.org/W3036601975","doi":"https://doi.org/10.4230/oasics.nines.2026.13","mag":"3036601975"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2006.11477","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.11477","pdf_url":"https://arxiv.org/pdf/2006.11477","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2006.11477","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Baevski, Alexei","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]},{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Baevski, Alexei","raw_affiliation_strings":["Facebook"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhou, Henry","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]},{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Zhou, Henry","raw_affiliation_strings":["Facebook"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohamed, Abdelrahman","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]},{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Mohamed, Abdelrahman","raw_affiliation_strings":["Facebook"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083212922","display_name":"Michael Auli","orcid":"https://orcid.org/0000-0001-5974-4459"},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Auli, Michael","raw_affiliation_strings":["Facebook"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook","institution_ids":["https://openalex.org/I2252078561"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2451,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9987000226974487,"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/T11309","display_name":"Music and Audio Processing","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.5673830509185791},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47861021757125854},{"id":"https://openalex.org/keywords/self-representation","display_name":"Self representation","score":0.4162740111351013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3870903551578522},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3706406354904175},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.0647190511226654},{"id":"https://openalex.org/keywords/humanities","display_name":"Humanities","score":0.05271533131599426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5673830509185791},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47861021757125854},{"id":"https://openalex.org/C2988612419","wikidata":"https://www.wikidata.org/wiki/Q7448312","display_name":"Self representation","level":2,"score":0.4162740111351013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3870903551578522},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3706406354904175},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0647190511226654},{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.05271533131599426}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:arXiv.org:2006.11477","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.11477","pdf_url":"https://arxiv.org/pdf/2006.11477","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:doi:10.4230/oasics.nines.2026.13","is_oa":true,"landing_page_url":"https://www.usenix.org/conference/nsdi21/presentation/ghigoff","pdf_url":"https://www.usenix.org/system/files/nsdi21-ghigoff.pdf","source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"ConferencePaper"},{"id":"pmh:oai:drops-oai.dagstuhl.de:25598","is_oa":true,"landing_page_url":"https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NINeS.2026.13","pdf_url":null,"source":{"id":"https://openalex.org/S4377196569","display_name":"DROPS (Schloss Dagstuhl \u2013 Leibniz Center for Informatics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2799853480","host_organization_name":"Schloss Dagstuhl \u2013 Leibniz Center for Informatics","host_organization_lineage":["https://openalex.org/I2799853480"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"InProceedings"},{"id":"doi:10.48550/arxiv.2006.11477","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2006.11477","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.4230/oasics.nines.2026.13","is_oa":true,"landing_page_url":"https://doi.org/10.4230/oasics.nines.2026.13","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2006.11477","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.11477","pdf_url":"https://arxiv.org/pdf/2006.11477","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G5585948073","display_name":"CICI: UCSS: Advancing Security in TEE-Enabled Scientific Research Workflows: A Holistic Approach","funder_award_id":"2530909","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W10548402","https://openalex.org/W273093436","https://openalex.org/W1494198834","https://openalex.org/W2121879602","https://openalex.org/W2124509324","https://openalex.org/W2127141656","https://openalex.org/W2152790380","https://openalex.org/W2296701362","https://openalex.org/W2547875792","https://openalex.org/W2794209590","https://openalex.org/W2842511635","https://openalex.org/W2896457183","https://openalex.org/W2899663614","https://openalex.org/W2908336025","https://openalex.org/W2936295285","https://openalex.org/W2936774411","https://openalex.org/W2941814890","https://openalex.org/W2944828972","https://openalex.org/W2949892913","https://openalex.org/W2952509486","https://openalex.org/W2953190524","https://openalex.org/W2962739339","https://openalex.org/W2962901777","https://openalex.org/W2962942158","https://openalex.org/W2963403868","https://openalex.org/W2963631907","https://openalex.org/W2963799213","https://openalex.org/W2963807318","https://openalex.org/W2964121744","https://openalex.org/W2965373594","https://openalex.org/W2971155163","https://openalex.org/W2972374322","https://openalex.org/W2972943112","https://openalex.org/W2973049979","https://openalex.org/W2981991061","https://openalex.org/W2988736778","https://openalex.org/W2991213871","https://openalex.org/W2994536315","https://openalex.org/W2995181338","https://openalex.org/W2995680346","https://openalex.org/W2996159613","https://openalex.org/W2996383576","https://openalex.org/W3002741552","https://openalex.org/W3003875258","https://openalex.org/W3004728855","https://openalex.org/W3005680577","https://openalex.org/W3015419784","https://openalex.org/W3016181583","https://openalex.org/W3021469861","https://openalex.org/W3025165719","https://openalex.org/W3026041220","https://openalex.org/W3027083471","https://openalex.org/W3035524453","https://openalex.org/W3037932933","https://openalex.org/W3103005696","https://openalex.org/W3107298252","https://openalex.org/W3127686677"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Broadcasting":[0],"and":[1,62,84,110,126,151,184],"aggregation":[2,85,105],"dominate":[3],"the":[4,43,128],"communication":[5],"overhead":[6],"in":[7,31,143,176],"distributed":[8],"systems,":[9],"from":[10,125],"machine":[11],"learning":[12],"training":[13],"to":[14],"data":[15],"analytics.":[16],"Current":[17],"acceleration":[18],"approaches":[19],"require":[20],"specialized":[21,159],"hardware":[22],"(RDMA)":[23],"or":[24,161],"dedicated":[25,162],"resources":[26],"(DPDK),":[27],"limiting":[28],"their":[29],"deployment":[30],"commodity":[32,139],"clouds.":[33],"However,":[34],"we":[35,45,65],"present":[36],"a":[37],"counter-intuitive":[38],"alternative:":[39],"rather":[40,130],"than":[41,131],"bypassing":[42],"kernel,":[44],"move":[46],"operations":[47,86],"into":[48],"it":[49],"using":[50,106],"eBPF.":[51],"While":[52],"this":[53],"imposes":[54],"severe":[55],"constraints":[56,129],"including":[57],"no":[58],"floating-point,":[59],"limited":[60],"memory,":[61],"stateless":[63,96],"execution,":[64],"show":[66],"these":[67],"restrictions":[68],"paradoxically":[69],"drive":[70,173],"innovative":[71],"protocol":[72,177],"designs":[73,123],"that":[74,113,169],"yield":[75],"unexpected":[76],"benefits.":[77],"We":[78],"introduce":[79],"AggBox,":[80],"which":[81],"implements":[82],"broadcast":[83,144],"entirely":[87],"within":[88],"eBPF\u2019s":[89,118],"constrained":[90,170],"environment.":[91],"Our":[92],"key":[93],"innovations":[94],"include":[95],"group":[97],"acknowledgments":[98],"for":[99,103,148,181],"reliability,":[100],"edge":[101],"quantization":[102],"floating-point":[104],"only":[107],"integer":[108],"arithmetic,":[109],"tail-call":[111],"chains":[112],"create":[114],"virtual":[115],"memory":[116],"beyond":[117],"512-byte":[119],"stack":[120],"limit.":[121],"These":[122],"emerge":[124],"exploit":[127],"fighting":[132],"them.":[133],"AggBox":[134],"achieves":[135],"remarkable":[136],"performance":[137],"on":[138],"hardware:":[140],"84.5%":[141],"reduction":[142],"latency,":[145],"43\u00d7":[146],"speedup":[147],"MapReduce":[149],"workloads,":[150],"56.1%":[152],"faster":[153],"ML":[154],"gradient":[155],"aggregation,":[156],"all":[157],"without":[158],"NICs":[160],"cores.":[163],"Beyond":[164],"performance,":[165],"our":[166],"work":[167],"demonstrates":[168],"environments":[171],"can":[172],"fundamental":[174],"innovation":[175],"design,":[178],"offering":[179],"insights":[180],"future":[182],"resource-limited":[183],"verified":[185],"systems.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":251},{"year":2024,"cited_by_count":523},{"year":2023,"cited_by_count":923},{"year":2022,"cited_by_count":516},{"year":2021,"cited_by_count":188},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2020-06-25T00:00:00"}