{"id":"https://openalex.org/W4413922171","doi":"https://doi.org/10.1145/3748273.3749199","title":"NSX: Large-Scale Network Simulation on an AI Server","display_name":"NSX: Large-Scale Network Simulation on an AI Server","publication_year":2025,"publication_date":"2025-09-02","ids":{"openalex":"https://openalex.org/W4413922171","doi":"https://doi.org/10.1145/3748273.3749199"},"language":"en","primary_location":{"id":"doi:10.1145/3748273.3749199","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748273.3749199","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Networks for AI Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3748273.3749199","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092233106","display_name":"Sajy Khashab","orcid":"https://orcid.org/0009-0006-1394-0423"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sajy Khashab","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012675469","display_name":"Hariharan Sezhiyan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hariharan Sezhiyan","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097794990","display_name":"Rani Abboud","orcid":"https://orcid.org/0009-0009-5562-0067"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rani Abboud","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119515934","display_name":"Alex Normatov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex Normatov","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078853382","display_name":"Stefan Kaestle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefan Kaestle","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041741375","display_name":"Eliav Bar-Ilan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eliav Bar-Ilan","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025395673","display_name":"M. A. Nassar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Nassar","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005720357","display_name":"Omer Shabtai","orcid":"https://orcid.org/0009-0005-4990-1517"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Omer Shabtai","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078969904","display_name":"Wei Bai","orcid":"https://orcid.org/0000-0002-8898-8070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Bai","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103237918","display_name":"Matty Kadosh","orcid":"https://orcid.org/0009-0000-2585-9581"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matty Kadosh","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053453103","display_name":"Jiarong Xing","orcid":"https://orcid.org/0009-0006-6163-0569"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiarong Xing","raw_affiliation_strings":["Rice University"],"affiliations":[{"raw_affiliation_string":"Rice University","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022593894","display_name":"Mark Silberstein","orcid":"https://orcid.org/0000-0001-9659-068X"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark Silberstein","raw_affiliation_strings":["NVIDIA and Technion"],"affiliations":[{"raw_affiliation_string":"NVIDIA and Technion","institution_ids":["https://openalex.org/I1304085615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075120727","display_name":"T. S. Eugene Ng","orcid":"https://orcid.org/0000-0003-2954-0767"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T.S. Eugene Ng","raw_affiliation_strings":["Rice University"],"affiliations":[{"raw_affiliation_string":"Rice University","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082276670","display_name":"Ang Chen","orcid":"https://orcid.org/0009-0003-8326-8124"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Ang Chen","raw_affiliation_strings":["NVIDIA and University of Michigan"],"affiliations":[{"raw_affiliation_string":"NVIDIA and University of Michigan","institution_ids":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5092233106"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27528268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.7519849538803101},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6181167960166931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33799391984939575},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32977357506752014},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32878196239471436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519849538803101},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6181167960166931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33799391984939575},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32977357506752014},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32878196239471436},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748273.3749199","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748273.3749199","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Networks for AI Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3748273.3749199","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748273.3749199","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Networks for AI Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1589155586","https://openalex.org/W2010365467","https://openalex.org/W2010437122","https://openalex.org/W2072834565","https://openalex.org/W2089867526","https://openalex.org/W2146638161","https://openalex.org/W2901255758","https://openalex.org/W3193193041","https://openalex.org/W4244578745","https://openalex.org/W4290991029","https://openalex.org/W4381187802","https://openalex.org/W4386396793","https://openalex.org/W4386652949","https://openalex.org/W4391053455","https://openalex.org/W4394923649"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Network":[0,65],"innovation":[1],"is":[2,10,46,150],"key":[3],"to":[4,26,28,34,60,90,99,128,170],"supporting":[5],"AI":[6,35,54,63,73,162],"workloads.":[7],"Packet-level":[8],"simulation":[9,66,127,139],"indispensable":[11],"for":[12,103,161],"testing":[13],"new":[14,48,97,166],"network":[15,101],"features":[16,167],"as":[17],"it":[18,135,171],"enables":[19],"high-fidelity":[20],"experimentation.":[21],"However,":[22],"today's":[23],"simulators":[24,102],"struggle":[25],"scale":[27,38,126],"large":[29],"topologies":[30],"that":[31,50,71,111],"are":[32,168],"typical":[33],"clusters.":[36],"To":[37],"the":[39,108],"simulation,":[40],"we":[41,95],"have":[42,112],"built":[43],"NSX":[44,124,149],"which":[45],"a":[47,146,158,173],"simulator":[49],"takes":[51],"advantage":[52],"of":[53,130],"servers":[55,74],"themselves":[56],"(e.g.,":[57],"NVIDIA's":[58,154],"DGX)":[59],"experiment":[61],"with":[62,82],"networks.":[64],"has":[67],"unique":[68],"workload":[69],"characteristics":[70],"make":[72],"an":[75],"ideal":[76],"fit:":[77],"relatively":[78],"simple,":[79],"parallelizable":[80],"compute,":[81],"high":[83],"memory":[84],"bandwidth":[85],"pressure.":[86],"Yet,":[87],"in":[88,140],"order":[89],"fully":[91],"leverage":[92],"this":[93],"platform,":[94],"need":[96],"techniques":[98],"rearchitect":[100],"GPU":[104],"execution.":[105],"We":[106],"describe":[107],"design":[109],"decisions":[110],"gone":[113],"into":[114],"NSX,":[115],"and":[116,134,165],"report":[117],"evaluation":[118],"results":[119],"from":[120],"our":[121],"current":[122],"prototype:":[123],"can":[125],"networks":[129],"524":[131],"k":[132],"nodes,":[133],"finishes":[136],"0.1":[137],"ms":[138],"less":[141],"than":[142],"2":[143],"seconds":[144],"on":[145,157,172],"DGX-H100":[147],"box.":[148],"being":[151],"used":[152],"by":[153],"networking":[155],"team":[156],"daily":[159],"basis":[160],"cluster":[163],"design,":[164],"added":[169],"regular":[174],"basis.":[175]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
