{"id":"https://openalex.org/W7136647080","doi":"https://doi.org/10.48550/arxiv.2603.12671","title":"HyGra: Accelerating Network-State Simulation for LLM Training in DCNs via Adaptive Packet-Flow Granularity","display_name":"HyGra: Accelerating Network-State Simulation for LLM Training in DCNs via Adaptive Packet-Flow Granularity","publication_year":2026,"publication_date":"2026-03-13","ids":{"openalex":"https://openalex.org/W7136647080","doi":"https://doi.org/10.48550/arxiv.2603.12671"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.12671","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12671","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.12671","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129519767","display_name":"Wenyi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wenyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129565736","display_name":"Zheng Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129518118","display_name":"Yanmeng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yanmeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107792273","display_name":"Haolin Mao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Haolin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129624249","display_name":"Lei Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129526916","display_name":"Gaogang Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Gaogang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129520863","display_name":"Fu Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Fu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.5738999843597412,"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"}},"topics":[{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.5738999843597412,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.241799995303154,"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"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.03819999843835831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.8446000218391418},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7303000092506409},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6747000217437744},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6238999962806702},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5633000135421753},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.544700026512146},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.4970000088214874},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4099000096321106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8452000021934509},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.8446000218391418},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7303000092506409},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6747000217437744},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6238999962806702},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5633000135421753},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.544700026512146},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.4970000088214874},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4602000117301941},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4099000096321106},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3596999943256378},{"id":"https://openalex.org/C139940560","wikidata":"https://www.wikidata.org/wiki/Q290036","display_name":"Network simulation","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32899999618530273},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3125},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2994000017642975},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28839999437332153},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.27790001034736633},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.2628999948501587}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.12671","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12671","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.12671","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12671","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.5623495578765869,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,102],"recent":[1],"years,":[2],"large":[3],"language":[4],"models":[5],"(LLMs)":[6],"have":[7],"driven":[8],"substantial":[9],"intelligent":[10],"transformation":[11],"across":[12],"diverse":[13],"industries.":[14],"Commercial":[15],"LLM":[16,75,118,171],"training":[17,49,119],"is":[18,162],"typically":[19],"performed":[20],"over":[21],"data":[22],"center":[23],"networks":[24],"(DCNs)":[25],"comprising":[26],"hundreds":[27],"to":[28,48,120,183],"thousands":[29],"of":[30,62,71],"GPUs,":[31],"with":[32,133,142,164],"multiple":[33],"devices":[34],"collocated":[35],"per":[36],"node.":[37],"As":[38],"network":[39,63,115],"scale":[40],"expands,":[41],"inter-node":[42],"communication":[43],"becomes":[44],"a":[45,55,83,108],"primary":[46],"bottleneck":[47],"efficiency.":[50],"Network-state":[51],"simulators":[52,79,88,96],"therefore":[53],"play":[54],"crucial":[56],"role":[57],"by":[58,82],"enabling":[59],"cost-effective":[60],"evaluation":[61],"configurations":[64],"and":[65,136,161,176,190],"parallelization":[66,188,194],"strategies":[67,195],"through":[68],"faithful":[69],"emulation":[70],"DCN":[72],"dynamics":[73,116],"during":[74,130,139],"training.":[76],"However,":[77],"existing":[78,165],"are":[80],"constrained":[81],"efficiency-fidelity":[84],"tradeoff,":[85],"as":[86],"packet-level":[87,128],"(PLSs)":[89],"incur":[90],"prohibitive":[91],"runtime":[92],"overhead,":[93],"whereas":[94],"flow-level":[95,137],"(FLSs)":[97],"compromise":[98],"essential":[99],"modeling":[100],"accuracy.":[101,199],"this":[103],"paper,":[104],"we":[105],"develop":[106],"\\texttt{HyGra},":[107],"hybrid-granularity":[109],"network-state":[110],"simulator":[111],"that":[112,179],"exploits":[113],"intrinsic":[114],"in":[117],"adaptively":[121],"switch":[122],"simulation":[123,129,138],"granularity.":[124],"Specifically,":[125],"\\texttt{HyGra}":[126,180],"employs":[127],"non-steady":[131],"phases":[132,141],"transient":[134],"fluctuations":[135],"steady":[140],"periodic":[143],"patterns,":[144],"thereby":[145],"accelerating":[146],"execution":[147],"while":[148,196],"preserving":[149],"high":[150,198],"fidelity.":[151],"Moreover,":[152],"it":[153],"requires":[154],"no":[155],"specialized":[156],"hardware,":[157],"supports":[158],"single-machine":[159],"deployment,":[160],"compatible":[163],"simulators.":[166],"Experiments":[167],"based":[168],"representative":[169],"commercial":[170],"workloads,":[172],"including":[173],"ChatGPT,":[174],"DeepSeek,":[175],"Qwen,":[177],"show":[178],"achieves":[181],"up":[182],"15.4$\\times$":[184],"speedup":[185],"under":[186,192],"single":[187],"strategy":[189],"7.8$\\times$":[191],"hybrid":[193],"maintaining":[197]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-17T00:00:00"}
