{"id":"https://openalex.org/W7154980864","doi":"https://doi.org/10.48550/arxiv.2604.15379","title":"Fleet: Hierarchical Task-based Abstraction for Megakernels on Multi-Die GPUs","display_name":"Fleet: Hierarchical Task-based Abstraction for Megakernels on Multi-Die GPUs","publication_year":2026,"publication_date":"2026-04-15","ids":{"openalex":"https://openalex.org/W7154980864","doi":"https://doi.org/10.48550/arxiv.2604.15379"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.15379","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15379","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2604.15379","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065867029","display_name":"Sangeeta Chowdhary","orcid":"https://orcid.org/0000-0003-3053-230X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chowdhary, Sangeeta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134070782","display_name":"Ryan Swann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swann, Ryan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120595706","display_name":"Sean Siddens","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siddens, Sean","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134035834","display_name":"Muhammad Osama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Osama, Muhammad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014827775","display_name":"Stephen Neuendorffer","orcid":"https://orcid.org/0000-0003-2956-8428"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neuendorffer, Stephen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134067559","display_name":"Alexandru Dutu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dutu, Alexandru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035895394","display_name":"Karthik Sangaiah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sangaiah, Karthik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013912135","display_name":"Sandeepa Bhuyan","orcid":"https://orcid.org/0000-0002-0679-9058"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhuyan, Sandeepa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134048620","display_name":"Samuel Bayliss","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bayliss, Samuel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004292742","display_name":"Ganesh Dasika","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dasika, Ganesh","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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9747999906539917,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9747999906539917,"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"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.0044999998062849045,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.002899999963119626,"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/cache","display_name":"Cache","score":0.6776999831199646},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5824000239372253},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5622000098228455},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.555899977684021},{"id":"https://openalex.org/keywords/memory-hierarchy","display_name":"Memory hierarchy","score":0.5163000226020813},{"id":"https://openalex.org/keywords/cache-algorithms","display_name":"Cache algorithms","score":0.4499000012874603},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.44609999656677246},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43320000171661377},{"id":"https://openalex.org/keywords/programming-paradigm","display_name":"Programming paradigm","score":0.41190001368522644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.876800000667572},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6780999898910522},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6776999831199646},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5824000239372253},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5622000098228455},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C2778100165","wikidata":"https://www.wikidata.org/wiki/Q1589327","display_name":"Memory hierarchy","level":3,"score":0.5163000226020813},{"id":"https://openalex.org/C38556500","wikidata":"https://www.wikidata.org/wiki/Q13404475","display_name":"Cache algorithms","level":4,"score":0.4499000012874603},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.44609999656677246},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43320000171661377},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.41190001368522644},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40529999136924744},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.39989998936653137},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.3716000020503998},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C59687516","wikidata":"https://www.wikidata.org/wiki/Q5015938","display_name":"Cache-oblivious algorithm","level":5,"score":0.3368000090122223},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C113166858","wikidata":"https://www.wikidata.org/wiki/Q5015981","display_name":"Cache pollution","level":5,"score":0.32100000977516174},{"id":"https://openalex.org/C201148951","wikidata":"https://www.wikidata.org/wiki/Q5015976","display_name":"Cache coloring","level":4,"score":0.31029999256134033},{"id":"https://openalex.org/C2776834041","wikidata":"https://www.wikidata.org/wiki/Q25346349","display_name":"Execution model","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.287200003862381},{"id":"https://openalex.org/C25536678","wikidata":"https://www.wikidata.org/wiki/Q5015977","display_name":"Cache invalidation","level":5,"score":0.2718999981880188},{"id":"https://openalex.org/C553261973","wikidata":"https://www.wikidata.org/wiki/Q14579","display_name":"Linux kernel","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.26600000262260437},{"id":"https://openalex.org/C27602214","wikidata":"https://www.wikidata.org/wiki/Q1868547","display_name":"Locality of reference","level":3,"score":0.2637999951839447},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.15379","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15379","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.15379","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15379","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.5516581535339355,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"GPUs":[1],"adopt":[2],"chiplet-based":[3],"designs":[4],"with":[5,86,107,119,127],"multiple":[6],"private":[7],"cache":[8,36,121],"hierarchies,":[9],"but":[10],"current":[11],"programming":[12],"models":[13],"(CUDA/HIP)":[14],"expose":[15,91],"a":[16,48,61,70,92,103,113,188],"flat":[17],"execution":[18,144],"hierarchy":[19],"that":[20,52,64],"cannot":[21],"express":[22],"chiplet-level":[23],"locality":[24],"or":[25],"synchronization.":[26],"This":[27],"mismatch":[28],"leads":[29],"to":[30,55,69,115,161,170,181],"redundant":[31],"memory":[32,56],"traffic":[33,178],"and":[34,67,72,82,145,167,183],"poor":[35],"utilization":[37],"in":[38],"memory-bound":[39],"workloads":[40],"such":[41],"as":[42,102],"LLM":[43],"inference.":[44],"We":[45],"present":[46],"Fleet,":[47],"multi-level":[49],"task":[50],"model":[51],"maps":[53],"computation":[54],"scopes.":[57],"Fleet":[58,99,129],"introduces":[59],"Chiplet-tasks,":[60],"new":[62],"abstraction":[63],"binds":[65],"work":[66],"data":[68],"chiplet":[71,114],"enables":[73],"coordination":[74],"through":[75,141],"its":[76],"shared":[77],"L2":[78,156],"cache.":[79],"Wavefront-level,":[80],"CU-level,":[81],"device-level":[83],"tasks":[84,118],"align":[85],"existing":[87],"abstractions,":[88],"while":[89],"Chiplet-tasks":[90],"previously":[93],"unaddressed":[94],"level":[95],"of":[96],"the":[97],"hierarchy.":[98],"is":[100],"implemented":[101],"persistent":[104,142],"kernel":[105,143],"runtime":[106],"per-chiplet":[108,146],"scheduling,":[109],"allowing":[110],"workers":[111],"within":[112],"cooperatively":[116],"execute":[117],"coordinated":[120],"reuse.":[122],"On":[123],"AMD":[124],"Instinct":[125],"MI350":[126],"Qwen3-8B,":[128],"achieves":[130],"1.3-1.5x":[131],"lower":[132],"decode":[133],"latency":[134],"than":[135],"vLLM":[136],"at":[137,163,172],"batch":[138,150,164,173],"sizes":[139],"1-8":[140],"scheduling.":[147],"At":[148],"larger":[149],"sizes,":[151],"cooperative":[152],"weight":[153],"tiling":[154],"increases":[155],"hit":[157],"rate":[158],"(from":[159],"12%":[160],"54%":[162],"size":[165,174],"32":[166],"from":[168],"39%":[169],"61%":[171],"64),":[175],"reducing":[176],"HBM":[177],"by":[179],"up":[180],"37%":[182],"delivering":[184],"1.27-1.30x":[185],"speedup":[186],"over":[187],"chiplet-unaware":[189],"megakernel":[190],"baseline.":[191]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-21T00:00:00"}
