{"id":"https://openalex.org/W7162312287","doi":"https://doi.org/10.48550/arxiv.2605.23294","title":"NASiC: 3D NAND-based CAM-Selected Multibit CIM Architecture for Efficient On-Device Mixture-of-Experts LLM Inference","display_name":"NASiC: 3D NAND-based CAM-Selected Multibit CIM Architecture for Efficient On-Device Mixture-of-Experts LLM Inference","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7162312287","doi":"https://doi.org/10.48550/arxiv.2605.23294"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23294","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23294","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":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.2605.23294","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136970344","display_name":"Weikai Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Weikai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136927050","display_name":"Meng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Meng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081222727","display_name":"Shuzhang Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong, Shuzhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111295819","display_name":"Tianyang Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Tianyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136905186","display_name":"Dongxue Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Dongxue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136912452","display_name":"Ling Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Ling","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136911311","display_name":"Zongwei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zongwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136979427","display_name":"Qianqian Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Qianqian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136925392","display_name":"Yimao Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Yimao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136919388","display_name":"Ru Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Ru","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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.4253000020980835,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.4253000020980835,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.21469999849796295,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.10270000249147415,"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/nand-gate","display_name":"NAND gate","score":0.6776999831199646},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6305000185966492},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.4991999864578247},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4952000081539154},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.40139999985694885},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.38429999351501465},{"id":"https://openalex.org/keywords/flash","display_name":"Flash (photography)","score":0.33410000801086426},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3107999861240387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7264000177383423},{"id":"https://openalex.org/C124296912","wikidata":"https://www.wikidata.org/wiki/Q575178","display_name":"NAND gate","level":3,"score":0.6776999831199646},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6305000185966492},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4952000081539154},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4117000102996826},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C2777526259","wikidata":"https://www.wikidata.org/wiki/Q221836","display_name":"Flash (photography)","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3160000145435333},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.2985000014305115},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.27399998903274536},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C64142963","wikidata":"https://www.wikidata.org/wiki/Q1153902","display_name":"Phase-change memory","level":3,"score":0.25369998812675476},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23294","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23294","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"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.23294","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23294","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9062142968177795,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"Mixture-of-Experts":[1],"(MoE)":[2],"models":[3,15,61],"have":[4],"emerged":[5],"as":[6,98,179,181],"the":[7,32,108,118,171,182],"state-of-the-art":[8,209],"paradigm":[9],"for":[10,36,59,189,219],"scaling":[11],"up":[12],"large":[13,33],"language":[14],"(LLMs)":[16],"without":[17],"proportionally":[18],"increased":[19],"computational":[20,73,142],"cost.":[21],"However,":[22],"its":[23,216],"on-device":[24,221],"deployment":[25],"faces":[26],"a":[27,69,90,133],"critical":[28],"challenge":[29],"due":[30],"to":[31,68,103],"memory":[34],"requirement":[35],"storing":[37],"all":[38],"expert":[39,65,120,128],"parameters.":[40],"3D":[41,91,113,186],"NAND-based":[42,92],"computing-in-memory":[43],"(CIM)":[44],"architectures":[45],"uniquely":[46],"offer":[47],"high":[48,213],"storage":[49,80],"capacity":[50],"and":[51,126,140,147,166,173,203],"reduced":[52],"data":[53],"movement,":[54],"while":[55],"they":[56],"are":[57,151],"ill-suited":[58],"MoE":[60,104,190,222],"with":[62,76,153,161,212],"dynamically":[63],"sparse":[64],"activation,":[66],"leading":[67],"degradation":[70],"of":[71,78,82,112,175,184],"effective":[72],"parallelism,":[74],"along":[75,211],"underutilization":[77],"multibit":[79,148,164],"capability":[81],"Flash":[83],"cells.":[84],"In":[85],"this":[86],"work,":[87],"we":[88,196],"proposed":[89,154],"content":[93],"addressable-selected":[94],"CIM":[95,131,149,177],"architecture,":[96,156],"dubbed":[97],"NASiC,":[99],"which":[100],"is":[101],"tailored":[102],"models.":[105,191],"By":[106],"leveraging":[107],"intrinsic":[109],"string":[110],"structure":[111],"NAND":[114,176,187],"technology,":[115],"NASiC":[116,155,198],"fuses":[117],"dynamical":[119],"selection":[121],"through":[122,130],"CAM-based":[123],"masking":[124],"mechanism":[125],"activated":[127],"computation":[129,135,139,160],"into":[132],"single":[134],"cycle,":[136],"eradicating":[137],"redundant":[138],"enhancing":[141],"parallelism.":[143],"Moreover,":[144],"circuit-level":[145],"optimizations":[146],"cell":[150],"co-designed":[152],"featuring":[157],"block-wise":[158],"parallel":[159],"in-situ":[162],"signed":[163],"input":[165],"weight":[167],"expansion,":[168],"substantially":[169],"improving":[170],"throughput":[172],"energy-efficiency":[174],"array,":[178],"well":[180],"utilization":[183],"high-density":[185],"technology":[188],"With":[192],"extensive":[193],"experimental":[194],"results,":[195],"demonstrate":[197],"achieves":[199],"4-114.8x":[200],"improved":[201,205],"performance":[202],"3.9-70x":[204],"energy":[206],"efficiency":[207],"over":[208],"designs,":[210],"accuracy,":[214],"showing":[215],"great":[217],"potential":[218],"efficient":[220],"LLM":[223],"inference.":[224]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-26T00:00:00"}
