{"id":"https://openalex.org/W7131163077","doi":"https://doi.org/10.48550/arxiv.2602.17808","title":"Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs","display_name":"Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs","publication_year":2026,"publication_date":"2026-02-19","ids":{"openalex":"https://openalex.org/W7131163077","doi":"https://doi.org/10.48550/arxiv.2602.17808"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.17808","is_oa":true,"landing_page_url":null,"pdf_url":null,"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":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114652139","display_name":"Nathan Ng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ng, Nathan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126617687","display_name":"Walid A. Hanafy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanafy, Walid A.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126646740","display_name":"Prashanthi Kadambi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kadambi, Prashanthi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126650830","display_name":"Balachandra Sunil","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sunil, Balachandra","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126622480","display_name":"Ayush Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gupta, Ayush","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059310848","display_name":"David Irwin","orcid":"https://orcid.org/0000-0003-1722-4927"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Irwin, David","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126620452","display_name":"Yogesh Simmhan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simmhan, Yogesh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126655913","display_name":"Prashant Shenoy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shenoy, Prashant","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5114652139"],"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":0.3935999870300293,"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":0.3935999870300293,"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":0.14740000665187836,"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.11140000075101852,"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/latency","display_name":"Latency (audio)","score":0.6265000104904175},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5954999923706055},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.546500027179718},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.48739999532699585},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4661000072956085},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.454800009727478},{"id":"https://openalex.org/keywords/swap","display_name":"Swap (finance)","score":0.44760000705718994},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4410000145435333},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.43700000643730164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8349999785423279},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6265000104904175},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5954999923706055},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.546500027179718},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.48739999532699585},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4661000072956085},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.454800009727478},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.44760000705718994},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44020000100135803},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.43700000643730164},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.41990000009536743},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.41499999165534973},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4120999872684479},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4027999937534332},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.3952000141143799},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3465999960899353},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3093000054359436},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.30889999866485596},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.2667999863624573},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2635999917984009},{"id":"https://openalex.org/C67953723","wikidata":"https://www.wikidata.org/wiki/Q192525","display_name":"Workstation","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C2779084733","wikidata":"https://www.wikidata.org/wiki/Q17097343","display_name":"Processor sharing","level":3,"score":0.25699999928474426},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.17808","is_oa":true,"landing_page_url":null,"pdf_url":null,"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":"Article"},{"id":"doi:10.48550/arxiv.2602.17808","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.17808","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.17808","is_oa":true,"landing_page_url":null,"pdf_url":null,"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":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"IoT":[0],"applications":[1],"are":[2],"increasingly":[3],"relying":[4],"on":[5,166],"on-device":[6],"AI":[7],"accelerators":[8,27],"to":[9,31,74,79,155,178,185,191],"ensure":[10],"high":[11],"performance,":[12],"especially":[13],"in":[14,89],"limited":[15,22],"connectivity":[16],"and":[17,37,53,61,91,129,137,150,183],"safety-critical":[18],"scenarios.":[19],"However,":[20],"the":[21,48,75,147,192],"on-chip":[23],"memory":[24,59],"of":[25],"these":[26,96],"forces":[28],"inference":[29,108],"runtimes":[30],"swap":[32],"model":[33,49,118],"segments":[34],"between":[35,51],"host":[36],"accelerator":[38,54,58],"memory,":[39],"substantially":[40],"inflating":[41],"latency.":[42],"While":[43],"collaborative":[44,107],"processing":[45,50],"by":[46,69,176],"partitioning":[47,64],"CPU":[52,76,151],"resources":[55],"can":[56],"reduce":[57],"pressure":[60],"latency,":[62],"naive":[63],"may":[65],"worsen":[66],"end-to-end":[67,157],"latency":[68,175],"either":[70],"shifting":[71],"excessive":[72],"computation":[73],"or":[77],"failing":[78],"sufficiently":[80],"curb":[81],"swapping,":[82],"a":[83,101],"problem":[84],"that":[85,119,171],"is":[86],"further":[87],"amplified":[88],"multi-tenant":[90,105,188],"dynamic":[92],"environments.":[93],"To":[94],"address":[95],"issues,":[97],"we":[98],"present":[99],"SwapLess,":[100],"system":[102],"for":[103,109,180,187],"adaptive,":[104],"TPU-CPU":[106],"memory-constrained":[110],"Edge":[111,167,194],"TPUs.":[112],"SwapLess":[113,143,172],"utilizes":[114],"an":[115],"analytic":[116],"queueing":[117],"captures":[120],"partition-dependent":[121],"CPU/TPU":[122],"service":[123],"times":[124],"as":[125,127],"well":[126],"inter-":[128],"intra-model":[130],"swapping":[131],"overheads":[132],"across":[133],"different":[134],"workload":[135],"mixes":[136],"request":[138],"rates.":[139],"Using":[140],"this":[141],"model,":[142],"continuously":[144],"adjusts":[145],"both":[146],"partition":[148],"point":[149],"core":[152],"allocation":[153],"online":[154],"minimize":[156],"response":[158],"time":[159],"with":[160],"low":[161],"decision":[162],"overhead.":[163],"An":[164],"implementation":[165],"TPU-equipped":[168],"platforms":[169],"demonstrates":[170],"reduces":[173],"mean":[174],"up":[177,184],"63.8%":[179],"single-tenant":[181],"workloads":[182,189],"77.4%":[186],"relative":[190],"default":[193],"TPU":[195],"compiler.":[196]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-24T00:00:00"}
